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1

TAPE, THOMAS G., STEPHEN D. FLACH, and JAMES R. CAMPBELL. "A PROCESS ANALYSIS OF COMPUTER-GENERATED PATIENT REMINDERS DELIVERED BY NURSING PERSONNEL." International Journal of Information Technology & Decision Making 01, no. 04 (December 2002): 693–705. http://dx.doi.org/10.1142/s0219622002000427.

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Purpose: To measure the extent to which health care reminders are offered by nursing personnel and accepted by patients, we performed a detailed process study of a computer-generated, patient-specific mammography reminder. Subjects: 25,971 consecutive visits by 2,814 women age 50 and older seen during an eight year period in an academic internal medicine practice. Methods: An implementation trial with historical controls was done in the Internal Medicine Clinic at the University of Nebraska Medical Center. We incorporated a computer reminder system into the nursing check-in process along with the standing orders for mammograms. The administration of the reminder, the patient response to the reminder, and subsequent follow-through with mammography were tracked during the intervention phase. Patients were considered "up-to-date" if a mammogram had been done within two years before the visit, or if one was obtained within 60 days after the visit. Results: The proportion of patients up-to-date increased from 48% during a four-year pre-intervention phase to 54% in the intervention phase. Process analysis showed that clinic personnel offered the reminder in 31% of eligible visits, 11% of reminded patients agreed, and 53% of patients who agreed had mammography done. One unsuspected carcinoma was diagnosed. Patient race, insurance coverage, and number of visits during the prior two years influenced whether patients agreed to mammography and whether they then had the test done.
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Rath, Jessica M., Valerie F. Williams, Andrea C. Villanti, Molly P. Green, Paul D. Mowery, and Donna M. Vallone. "Boosting Online Response Rates Among Nonresponders." Social Science Computer Review 35, no. 5 (July 14, 2016): 619–32. http://dx.doi.org/10.1177/0894439316656151.

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Online data collection has become an extremely popular survey mode given its reduced cost, ease of administration, and timeliness. Although extensive research exists on the influence of e-mail invitation design characteristics to prompt survey participation, less is known about the effectiveness of e-mail reminders in prompting survey completion among nonresponders. The purpose of this study was to determine whether incorporating humor into e-mail reminders improved survey completion rates. Respondents from the Truth Initiative Young Adult Cohort ( n = 2,963) who did not respond to the first standard e-mail invitation to complete their follow-up survey were randomly assigned to one of the three e-mail reminder groups: control (standard), humor only, or humor plus statistics. Those who received an initial humor plus statistics reminder e-mail received the humor only e-mail as their second reminder and vice versa. Logistic regression was used to generate the odds ratios ( OR) for the probability of completing the survey after the first reminder. Results of multivariable models showed that, when collapsed together, the humor only and humor plus statistics e-mails were more effective than the control [adjusted OR (AOR) = 1.23, 95% confidence interval (CI) [1.01, 1.49], p = .05]. Receiving the humorous e-mail as the first reminder increased the odds of response to the survey by 24% (AOR = 1.24, 95% CI [1.00, 1.54], p = .04). Those entering the study at an earlier wave, nonsmokers and those living in smaller households were more likely to respond after the first reminder. A humorous reminder tailored to the voice of the audience is an easy, efficient, and effective way to increase response rates among young adults.
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Glowacki, Julie, Mitchel B. Harris, Josef Simon, John Wright, Nikheel S. Kolatkar, Thomas S. Thornhill, and Meryl S. LeBoff. "Brigham Fracture Intervention Team Initiatives for Hospital Patients with Hip Fractures: A Paradigm Shift." International Journal of Endocrinology 2010 (2010): 1–7. http://dx.doi.org/10.1155/2010/590751.

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We designed, implemented, and revised the Brigham Fracture Intervention Team (B-FIT) initiatives to improve in-hospital care of fracture (Fx) patients. Effectiveness was evaluated for 181 medical records of 4 cohorts in four successive years of consecutive patients who were admitted with a fragility hip Fx. The Discharge Initiative (DI) (computer-based) includes 1200 mg calcium and 1000 IU vitamin daily. The Admission Initiative (AI) was introduced one year later with reminders for serum 25OHD measurement, initiation of daily calcium (1200 mg) and vitamin D (800 IU), and an order for Endocrinology consultation, with an amendment for a computer-assisted reminder and a dose of (50 000 IU). Initially, the computer-based DI was more effective (67%) than the surgeon-driven AI (33%, ). After introduction of a computer-assisted reminder, AI effectiveness increased to 68%. The marked prevalence of vitamin D insufficiency reaffirms the importance of incorporating vitamin D recommendations in Fx care pathways.
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Nguyen, Michael C., David M. Richardson, Steven G. Hardy, Rachel M. Cookson, Richard S. Mackenzie, Marna Rayl Greenberg, Bernadette Glenn-Porter, and Bryan G. Kane. "Computer-based reminder system effectively impacts physician documentation." American Journal of Emergency Medicine 32, no. 1 (January 2014): 104–6. http://dx.doi.org/10.1016/j.ajem.2013.10.029.

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Wolters, Maria K., Christine Johnson, Pauline E. Campbell, Christine G. DePlacido, and Brian McKinstry. "Can older people remember medication reminders presented using synthetic speech?" Journal of the American Medical Informatics Association 22, no. 1 (July 30, 2014): 35–42. http://dx.doi.org/10.1136/amiajnl-2014-002820.

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Abstract Reminders are often part of interventions to help older people adhere to complicated medication regimes. Computer-generated (synthetic) speech is ideal for tailoring reminders to different medication regimes. Since synthetic speech may be less intelligible than human speech, in particular under difficult listening conditions, we assessed how well older people can recall synthetic speech reminders for medications. 44 participants aged 50–80 with no cognitive impairment recalled reminders for one or four medications after a short distraction. We varied background noise, speech quality, and message design. Reminders were presented using a human voice and two synthetic voices. Data were analyzed using generalized linear mixed models. Reminder recall was satisfactory if reminders were restricted to one familiar medication, regardless of the voice used. Repeating medication names supported recall of lists of medications. We conclude that spoken reminders should build on familiar information and be integrated with other adherence support measures.
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Raban, Magdalena Z., Melissa T. Baysari, Mikaela L. Jorgensen, Amina Tariq, Andrew Georgiou, and Johanna I. Westbrook. "Unmet Needs for Transdermal Patch Management in Electronic Medication Administration Records: An Analysis of Data from 66 Aged Care Facilities." Applied Clinical Informatics 11, no. 05 (October 2020): 812–20. http://dx.doi.org/10.1055/s-0040-1721011.

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Abstract Background Transdermal medication patches have caused serious adverse events in residential aged care facilities (RACFs). Preliminary research suggests that facilities are using a workaround consisting of manually entered reminders in their electronic medication administration records (eMARs) to prompt staff to check and remove patches, because the eMAR does not support these tasks. However, the prevalence and factors associated with use of this workaround among facilities is unknown. Objectives The objectives of this study were to (1) examine the frequency and consistency with which manual reminders to check and remove transdermal patches were used in facility eMARs, and (2) identify resident and facility factors associated with reminder use, to inform eMAR redesign. Methods This was a retrospective cross-sectional analysis of eMAR data from 66 Australian RACFs including 4,787 permanent residents, aged ≥65 years in January 2017. Prevalence of the use of reminders to check and remove patches, and consistency in their application within facilities were examined. Generalized estimating equations were used to determine factors associated with use of manual reminders. Results One in five (n = 937) residents used a patch, and 83.6% of patches contained opioids, a high-risk medicine. 56.9% of facilities implemented manually entered check patch reminders in the eMAR, and 72.3% implemented remove reminders. The reminders were applied inconsistently, with only half of these facilities having reminders for all residents with patches. Residents in facilities in regional areas were more likely to have a check reminder compared with those in major cities (adjusted odds ratio = 4.72 [95% confidence interval: 1.69–13.20]). Conclusion Transdermal patches containing high-risk medicines are frequently used in RACFs, but their safe administration is not supported by a widely implemented eMAR. The frequent, but inconsistent use of a workaround to manually enter reminders indicates an unmet need for new eMAR functionality to improve safety.
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7

Milutinovic, V. "Our Profession Needs a Reminder." Computer 39, no. 5 (May 2006): 104–3. http://dx.doi.org/10.1109/mc.2006.175.

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Kailajärvi, Marita, Timo Takala, Paula Grönroos, Nils Tryding, Jorma Viikari, Kerttu Irjala, and Jari Forsström. "Reminders of Drug Effects on Laboratory Test Results." Clinical Chemistry 46, no. 9 (September 1, 2000): 1395–400. http://dx.doi.org/10.1093/clinchem/46.9.1395.

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Abstract Drug effects on laboratory test results are difficult to take into account without an online decision support system. In this study, drug effects on hormone test results were coded using a drug-laboratory effect (DLE) code. The criteria that trigger the reminders were defined. To issue reminders, it was necessary to write a computer program linking the DLE knowledge base with databases containing individual patient medication and laboratory test results. During the first 10 months, 11% of the results from hormone samples were accompanied by one or more DLE reminders. The most common drugs to trigger reminders were glucocorticoids, furosemide, and metoclopramide. Physicians facing the reminders completed a questionnaire on the usefulness of the reminders. All respondents considered them useful. In addition, DLE reminders had caused 74% of respondents to refrain from additional, usually performed examinations. In conclusion, drug effects on laboratory tests should always be considered when interpreting laboratory results. An online reminder system is useful in displaying potential drug effects alongside test results.
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Chaurasia, Priyanka, Sally McClean, Chris D. Nugent, and Bryan Scotney. "A duration-based online reminder system." International Journal of Pervasive Computing and Communications 10, no. 3 (August 26, 2014): 337–66. http://dx.doi.org/10.1108/ijpcc-07-2014-0042.

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Purpose – This paper aims to discuss an online sensor-based support system which is believed to be useful for persons with a cognitive impairment, such as those with Alzheimer’s disease, suffering from deficiencies in cognitive skills which reduce their independence. Such patients can benefit from the provision of further assistance such as reminders for carrying out instrumental activities of daily living (iADLs). Design/methodology/approach – The system proposed processes data from a network of sensors that have the capability of sensing user interactions and ongoing iADLs in the living environment itself. A probabilistic learning model is built that computes joint probability distributions over different activities representing users’ behavioural patterns in performing activities. This probability model can underpin an intervention framework that prompts the user with the next step in the iADL when inactivity is being observed. This prompt for the next step is inferred from the conditional probability, taking into consideration the iADL steps that have already been completed, in addition to contextual information relating to the time of day and the amount of time already spent on the activity. The originality of the work lies in combining partially observed sensor sequences and duration data associated with the iADLs. The prediction of the next step is then adjusted as further steps are completed and more time is spent towards the completion of the activity; thus, updating the confidence that the prediction is correct. A reminder is only issued when there has been sufficient inactivity on the part of the patient and the confidence is high that the prediction is correct. Findings – The results verify that by including duration information, the prediction accuracy of the model is increased, and the confidence level for the next step in the iADL is also increased. As such, there is approximately a 10 per cent rise in the prediction performance in the case of single-sensor activation in comparison to an alternative approach which did not consider activity durations. Thus, it is concluded that incorporating progressive duration information into partially observed sensor sequences of iADLs has the potential to increase performance of a reminder system for patients with a cognitive impairment, such as Alzheimer’s disease. Originality/value – Activity duration information can be a potential feature in measuring the performance of a user and distinguishing different activities. The results verify that by including duration information, the prediction accuracy of the model is increased, and the confidence level for the next step in the activity is also increased. The use of duration information in online prediction of activities can also be associated to monitoring the deterioration in cognitive abilities and in making a decision about the level of assistance required. Such improvements have significance in building more accurate reminder systems that precisely predict activities and assist its users, thus, improving the overall support provided for living independently.
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Chaurasia, Priyanka, Sally McClean, Chris D. Nugent, and Bryan Scotney. "A duration-based online reminder system." International Journal of Pervasive Computing and Communications 10, no. 4 (October 28, 2014): 442–68. http://dx.doi.org/10.1108/ijpcc-10-2013-0029.

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Purpose – The purpose of this paper is to discuss an online sensor-based support system which the authors believe can be useful in such scenarios. Persons with a cognitive impairment, such as those with Alzheimer’s disease, suffer from deficiencies in cognitive skills which reduce their independence; such patients can benefit from the provision of further assistance such as reminders for carrying out instrumental activities of daily living (IADLs). Design/methodology/approach – The system proposed processes data from a network of sensors that have the capability of sensing user interactions and on-going IADLs in the living environment itself. A probabilistic learning model is built that computes joint probability distributions over different activities representing users’ behavioural patterns in performing activities. This probability model can underpin an intervention framework that prompts the user with the next step in the IADL when inactivity is being observed. This prompt for the next step is inferred from the conditional probability taken into consideration the IADL steps that have already been completed, in addition to contextual information relating to the time of day and the amount of time already spent on the activity. The originality of the work lies in combining partially observed sensor sequences and duration data associated with the IADLs. The prediction of the next step is then adjusted as further steps are completed and more time is spent towards the completion of the activity, thus updating the confidence that the prediction is correct. A reminder is only issued when there has been sufficient inactivity on the part of the patient and the confidence is high that the prediction is correct. Findings – The results of this study verify that by including duration information the prediction accuracy of the model is increased and the confidence level for the next step in the IADL is also increased. As such, there is approximately a 10 per cent rise in the prediction performance in the case of single sensor activation in comparison to an alternative approach which did not consider activity durations. Practical implications – Duration information to a certain extent has been widely ignored by activity recognition researchers and has received a very limited application within smart environments. Originality/value – This study concludes that incorporating progressive duration information into partially observed sensor sequences of IADLs has the potential to increase performance of a reminder system for patients with a cognitive impairment, such as Alzheimer’s disease.
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Wicaksono, Adhi, Robert Hendley, and Russell Beale. "Investigating the Impact of Adding Plan Reminders on Implementation Intentions to Support Behaviour Change." Interacting with Computers 31, no. 2 (March 1, 2019): 177–91. http://dx.doi.org/10.1093/iwc/iwz012.

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Abstract The use of reminders in habit-formation apps could lead to dependency towards the reminders and hinder the automaticity of the behaviour. Implementation intentions (if–then plan) have been found to be an effective technique that can be used to support forming new habits/breaking unwanted habits. However, implementation intentions could suffer due to forgetfulness and lack of strong intention. In this study, we investigated how adding plan reminders could impact implementation intentions by conducting a 4-week study on daily mood report task. Our findings suggest that adding plan reminders leads to better compliance and better recall of the plan but not necessarily increased automaticity. We also discuss how plan reminders of implementation intentions can be improved. RESEARCH HIGHLIGHTS Implementation intentions are specific action planning that have been found to be powerful in supporting behaviour change by helping someone to break unwanted habits or form new habits. Implementation intentions could have a weak effect when there is no strong motivation to perform the intended behaviour. Existing habit formation/behaviour change apps focus on using reminders. This could lead to dependency towards the reminder. We propose an alternative approach by sending specific reminders of implementation intention (plan reminders) in advance before the actual action happens. Adding plan reminders on implementation intentions leads to better compliance, however, it is not necessarily the same in term of automaticity.
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Zanetti, Giorgio, Hugh L. Flanagan, Lawrence H. Cohn, Richard Giardina, and Richard Platt. "Improvement of Intraoperative Antibiotic Prophylaxis in Prolonged Cardiac Surgery by Automated Alerts in the Operating Room." Infection Control & Hospital Epidemiology 24, no. 1 (January 2003): 13–16. http://dx.doi.org/10.1086/502109.

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AbstractObjective:To assess the impact of an automated intraoperative alert to redose prophylactic antibiotics in prolonged cardiac operations.Design:Randomized, controlled, evaluator-blinded trial.Setting:University-affiliated hospital.Patients:Patients undergoing cardiac surgery that lasted more than 4 hours after the preoperative administration of cefazolin, unless they were receiving therapeutic antibiotics at the time of surgery.Intervention:Randomization to an audible and visual reminder on the operating room computer console at 225 minutes after the administration of preoperative antibiotics (reminder group, n = 137) or control (n = 136). After another 30 minutes, the circulating nurse was required to indicate whether a follow-up dose of antibiotics had been administered.Results:Intraoperative redosing was significantly more frequent in the reminder group (93 of 137; 68%) than in the control group (55 of 136; 40%) (adjusted odds ratio, 3.31; 95% confidence interval, 1.97 to 5.56; P < .0001). The impact of the reminder was even greater when compared with the 6 months preceding the study period (129 of 480; 27%; P < .001), suggesting some spillover effect on the control group. Redosing was formally declined for 19 of the 44 patients in the reminder group without redosing. The rate of surgical-site infection in the reminder group (5 of 137; 4%) was similar to that in the control group (8 of 136; 6%; P = .42), but significantly lower than that in the pre-study period (48 of 480; 10%; P = .02).Conclusion:The use of an automatic reminder system in the operating room improved compliance with guidelines on perioperative antibiotic prophylaxis.
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Roth, John P., Theodore J. Kula, Alan Glaros, and Katherine Kula. "Effect of a computer-generated telephone reminder system on appointment attendance." Seminars in Orthodontics 10, no. 3 (September 2004): 190–93. http://dx.doi.org/10.1053/j.sodo.2004.05.001.

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Roberts, N., B. Bradley, and D. Williams. "Use of SMS and tablet computer improves the electronic collection of elective orthopaedic patient reported outcome measures." Annals of The Royal College of Surgeons of England 96, no. 5 (July 2014): 348–51. http://dx.doi.org/10.1308/003588414x13946184900769.

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Introduction Electronic patient reported outcome measures (PROMs) enable real time reporting back to the patient and medical team, comparison between similar patient cohorts and long-term cost effective outcome measurement. The primary objective of this three-phase pilot study was to measure uptake using a web-based PROM system following the introduction of two separate process improvements. Methods Eighty consecutive new elective orthopaedic patients in a single surgeon’s practice were recruited for the study. Patients in Group 1 (n=26) received only a letter reminding them to complete a symptom score. Those in Group 2 (n=31) also received a reminder SMS (short message service) message via their mobile or home telephone and those in Group 3 (n=23) also had access to a tablet computer in clinic. Results The mean patient age in Group 1 was 55 years (range: 24–80 years), in Group 2 it was 60 years (range: 23–85 years) and in Group 3 it was 58 years (range: 37–78 years) (p>0.05). Overall, 79% of patients had internet access, and 35% of Group 1, 55% of Group 2 and 74% of Group 3 recorded an electronic PROM score (p=0.02). In Group 3, 94% of patients listed for an operation completed an electronic PROM score (p=0.006). Conclusions Collecting PROM data effectively in everyday clinical practice is challenging. Electronic collection should meet that challenge and improve healthcare delivery but it is in its infancy. This pilot study shows that the combination of an SMS reminder and access to a Wi-Fi enabled tablet computer in the clinic setting enabled 94% of patients listed for an operation to complete a score on a web-based clinical outcomes system. Additional staff training and telephone call reminders may further improve uptake.
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Santoso, Frengki. "Analisa Pencarian Data *.Doc pada Komputer Menerapkan Metode Sequensial With Sentinel." Jurnal Sistem Komputer dan Informatika (JSON) 1, no. 1 (August 21, 2019): 26. http://dx.doi.org/10.30865/json.v1i1.1368.

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In the development of computers often encounter problems about how to get a data in a large data set and various types of data. In its need to find that data, there are various search algorithms, namely the sequential with Sentinel method. Searching is data search by searching where the data is searched. The place for searching the data can be an array in memory, it can also be in a file in external storage. When the amount of data is already so large, a method is needed to get the data needed. Several methods of organizing data have made the process of finding data more efficient. In the problem that often occurs a lot of lost doc data dimension or forget the name of the stored data and therefore applied how to find doc document data that is on the computer. A data contained in the storage media with this search method is created using a search algorithm that uses successive method so that the data sought knows its whereabouts. in overcoming the problem is applied The method of doc data extension can be done in two ways, namely internal search (internal searching) and external search (external searching). In an internal search, all records that are known to be in a computer reminder are on an external search, not all records that are known to be in a computer reminder.
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Landeryou, K. "LEGAL BRIEF: Contract Law - a reminder." Computer Bulletin 45, no. 4 (July 1, 2003): 32. http://dx.doi.org/10.1093/combul/45.4.32-c.

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Tsuei, Huang Wan, Yin Yin Chen, and Fu Der Wang. "A computer reminder reduces catheter-associated urinary tract infections in hospitalized patients." Journal of Microbiology, Immunology and Infection 48, no. 2 (April 2015): S77. http://dx.doi.org/10.1016/j.jmii.2015.02.274.

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Raynor, D. K., T. G. Booth, and A. Blenkinsopp. "Effects of computer generated reminder charts on patients' compliance with drug regimens." BMJ 306, no. 6886 (May 1, 1993): 1158–61. http://dx.doi.org/10.1136/bmj.306.6886.1158.

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Moore, Brent A., Frank D. Buono, Destiny M. B. Printz, Daniel P. Lloyd, David A. Fiellin, Christopher J. Cutter, Richard S. Schottenfeld, and Declan T. Barry. "Customized recommendations and reminder text messages for automated, computer-based treatment during methadone." Experimental and Clinical Psychopharmacology 25, no. 6 (December 2017): 485–95. http://dx.doi.org/10.1037/pha0000149.

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Katherine, Hackett, Sarah Lehman, Ross Drivers, Matthew Ambrogi, Likhon Gomes, Chiu Tan, and Tania Giovannetti. "SmartPrompt Reminder Application Improves Everyday Task Completion and Reduces Inefficient Behaviors." Innovation in Aging 4, Supplement_1 (December 1, 2020): 801–2. http://dx.doi.org/10.1093/geroni/igaa057.2908.

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Abstract The SmartPrompt phone-based reminder application was designed according to neuropsychological theory and pilot testing to facilitate everyday functioning. A laboratory-based pilot of ten participants with MCI and mild dementia showed significantly greater task completion with significantly fewer checking behaviors when using the SmartPrompt versus a control condition. Younger individuals and those who engaged in more checking behaviors completed more tasks in the control condition, but these relations were not significant when using the SmartPrompt. After 15 minutes of training, caregivers achieved near perfect scores on a SmartPrompt configuration quiz. Participant and caregiver usability ratings were strong, even though participants reported relatively low computer proficiency and neutral/unfavorable attitudes towards technology. Piloting informed modifications of the SmartPrompt to enhance personalization (e.g., customized alarms/rewards) and improved human-computer-interaction for in-home testing. Preliminary in-home test data on individually-owned smartphones and conclusions regarding barriers and facilitators to the effectiveness of the modified SmartPrompt will be discussed.
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FERNANDEZ, M. "Obtaining Traceability Codes from Chinese Reminder Theorem Codes." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E89-A, no. 1 (January 1, 2006): 227–30. http://dx.doi.org/10.1093/ietfec/e89-a.1.227.

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Gashu, Kassahun Dessie, Kassahun Alemu Gelaye, Richard Lester, and Binyam Tilahun. "Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial." BMJ Health & Care Informatics 28, no. 1 (June 2021): e100268. http://dx.doi.org/10.1136/bmjhci-2020-100268.

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ObjectivesThis study aimed to evaluate the effect of the phone reminder system on patient-centred TB treatment adherence during continuation phase, where patients are responsible for taking medication at home.MethodsWe conducted a two-arm randomised controlled trial on adult patients with TB during the continuation phase. In the intervention arm, patients received routine care plus phone-based weekly pill refilling and daily medication reminders. In the control arm, participants received only routine care. A covariate adaptive randomisation technique was used to balance covariates during allocation. The primary outcome was adherence to patient-centred TB treatment, and secondary outcomes included provider–patient relationship and treatment outcomes. We applied per-protocol and intention-to-treat analysis techniques.ResultsWe randomised 306 patients to intervention (n=152) and control (n=154) groups. Adherence to patient-centred TB treatment was 79% (110/139) in intervention and 66.4% (95/143) in control groups, with relative risk (RR) (95% lower CI) (RR=1.632 (1.162 to ∞); p=0.018, one tailed). Good provider–patient relationship was 73.3% (102/139) in intervention group and 52.4% (75/143) in control group, p=0.0001. TB treatment success was 89.5% (136/152) in intervention group and 85.1% (131/154) in control group, p=0.1238.ConclusionsMobile phone-based weekly refilling with daily medication reminder system improved adherence to patient-centred TB treatment and provider–patient relationship; however, there was no significant effect on treatment success.Trial registration numberPan African Clinical Trials Registry (PACTR201901552202539).
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Gorman, Paul, and Jeffrey Weinfeld. "Primary Care Physician Designation and Response to Clinical Decision Support Reminders." Applied Clinical Informatics 07, no. 02 (April 2016): 248–59. http://dx.doi.org/10.4338/aci-2015-10-ra-0142.

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SummaryClinical decision support (CDS) has been shown to improve process outcomes, but overalerting may not produce incremental benefits. We analyzed providers’ response to preventive care reminders to determine if reminder response rates varied when a primary care provider (PCP) saw their own patients as compared with a partner’s patients. Secondary objectives were to describe variation in PCP identification in the electronic health record (EHR) across sites, and to determine its accuracy.We retrospectively analyzed response to preventive care reminders during visits to outpatient primary care sites over a three-month period where an EHR was used. Data on clinician requests for reminders, viewing of preventive care reminders, and response rates were stratified by whether the patient visited their own PCP, the PCP’s partner, or where no PCP was listed in the EHR. We calculated the proportion of PCP identification across sites and agreement of identified PCP with an external standard.Of 84,937 visits, 58,482 (68.9%) were with the PCP, 10,259 (12.1%) were with the PCP’s partner, and 16,196 (19.1%) had no listed PCP. Compared with PCP partner visits, visits with the patient’s PCP were associated with more requested reminders (30.9% vs 22.9%), viewed reminders (29.7% vs 20.7%), and responses to reminders (28.7% vs 12.6%), all comparisons p<0.001. Visits with no listed PCP had the lowest rates of requests, views, and responses. There was good agreement between the EHR-listed PCP and the provider seen for a plurality of visits over the last year (D = 0.917).A PCP relationship during a visit was associated with higher use of preventive care reminders and a lack of PCP was associated with lower use of CDS. Targeting reminders to the PCP may be desirable, but further studies are needed to determine which strategy achieves better patient care outcomes.primary care physician (PCP), clinical decision support (CDS), electronic health record (EHR), National Provider Identifier (NPI)
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Mahendra, Wayan Dony, I. Made Sukarsa, and AA Kt Agung Cahyawan. "Reminder and Online Booking Features at Android-Based Motorcycle Repair Shop Marketplace." Scientific Journal of Informatics 7, no. 1 (June 5, 2020): 43–51. http://dx.doi.org/10.15294/sji.v7i1.22212.

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Generally, vehicle service is a must for the vehicle owner. However, due to tight work routines, people often forget to service their vehicles. In addition, the service process is still using a manual system, such as taking a queue number which leads to the long queue of the service time. An Android-based Motorcycle Repair Shop Information System provides a solution to remind people to do a regular service on their vehicles with a reminder feature and make online bookings. The system development uses the SDLC (System Development Life Cycle) method. The implementation process requires an Android smartphone and a computer device by using MySQL as data storage, Firebase as a notification sender, React native and Visual Studio Code are used for developing the system. The results of the UAT test (user acceptance testing) from 20 users show 55,8% answered agree to the display, features and flow of the system, 39,5% answered strongly agree to the three question parameters, and 4,7% answered disagree with the flow and display of the system.
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Moore, Michael Grahame. "A Sad Reminder That Diploma Mills Are Still With Us." American Journal of Distance Education 23, no. 4 (December 2, 2009): 175–78. http://dx.doi.org/10.1080/08923640903356129.

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Ryu, Hokyoung, and David Parsons. "A learner-centred design of a location-aware learning reminder." International Journal of Mobile Learning and Organisation 2, no. 2 (2008): 187. http://dx.doi.org/10.1504/ijmlo.2008.019768.

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Mekonnen, Zeleke Abebaw, Kassahun Alemu Gelaye, Martin C. Were, and Binyam Tilahun. "Mothers intention and preference to use mobile phone text message reminders for child vaccination in Northwest Ethiopia." BMJ Health & Care Informatics 28, no. 1 (February 2021): e100193. http://dx.doi.org/10.1136/bmjhci-2020-100193.

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ObjectivesWith the unprecedented penetration of mobile devices in the developing world, mHealth applications are being leveraged for different health domains. Among the different factors that affect the use of mHealth interventions is the intention and preference of end-users to use the system. This study aimed to assess mother’s intention and preference to use text message reminders for vaccination in Ethiopia.MethodsA cross-sectional study was conducted among 460 mothers selected through a systematic random sampling technique. Initially, descriptive statistics were computed. Binary logistic regression analysis was also used to assess factors associated with the outcome variable.ResultsIn this study, of the 456 mothers included for analysis, 360 (78.9%) of mothers have intention to use text message reminders for vaccination. Of these, 270 (75%) wanted to receive the reminders a day before the vaccination due date. Mothers aged 35 years or more (AOR=0.35; 95% CI: 0.15 to 0.83), secondary education and above (AOR=4.43; 95% CI: 2.05 to 9.58), duration of mobile phone use (AOR=3.63; 95% CI: 1.66 to 7.94), perceived usefulness (AOR=6.37; 95% CI: 3.13 to 12.98) and perceived ease of use (AOR=3.85; 95% CI: 2.06 to 7.18) were predictors of intention to use text messages for vaccination.ConclusionIn conclusion, majority of mothers have the intention to use text message reminders for child vaccination. Mother’s age, education, duration of mobile phone use, perceived usefulness and perceived ease of use were associated with intention of mothers to use text messages for vaccination. Considering these predictors and user’s preferences before developing and testing text message reminder systems is recommended.
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Beto, Judith A., Robert E. Listecki, Donald A. Meyer, Richard J. Budhy, and Vinod K. Bansal. "Use of Pharmacy Computer Prescription Database to Access Hypertensive Patients for Mailed Survey Research." Annals of Pharmacotherapy 30, no. 4 (April 1996): 351–55. http://dx.doi.org/10.1177/106002809603000405.

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OBJECTIVE: To evaluate the use of a pharmacy computer prescription database (PCPD) to identify and sample hypertensive patients outside of their treatment setting for mailed, self-administered survey research comparing the presence and lack of participation incentives and mailed follow-up reminders. SETTING: Two independent, privately owned, free-standing community pharmacies. PARTICIPANTS: A total of 735 individuals identified from a PCPD search who had been prescribed at least 1 of 130 PCPD medications potentially used in hypertensive therapy. METHODS: PCPD was searched by the pharmacist/owner per protocol; participants were sent an individually addressed cover letter on pharmacy letterhead signed by the pharmacist that requested voluntary anonymous completion of an enclosed self-administered, quality-of-life opinion survey; the first search used no incentive or follow-up; die second search used an incentive and mailed a follow-up reminder. Research protocol followed published ethics guidelines. RESULTS: There was a mean 84% return with incentive and follow-up strategies compared with a mean 25% return without strategies (p < 0.01) for all drug groups between searches; no statistical difference in response was shown between the same drug groups (alpha1-blockers, calcium-channel blockers, and centrally acting alpha2-agonists) within searches. CONCLUSIONS: Acceptable response rates (74–93% return) can be obtained with traditional follow-up mailed incentives, prescription issuance within 6 months, incentives to both hypertensive and nonhypertensive responders, and sampling strategies within potential drug groups. Methodology can be adapted to other populations by alternative drug sampling strategies.
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Wu, Sze-jung, Mark Lehto, Jason Saleem, B. N. Doebbeling, and Yuehwern Yih. "Impact of Clinical Reminder Redesign on Physicians’ Priority Decisions." Applied Clinical Informatics 01, no. 04 (2010): 466–85. http://dx.doi.org/10.4338/aci-2010-05-ra-0029.

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Summary Objective: Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers’ prioritization of individual CCRs. Design: Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey. Measurements: We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of each design feature, and semi-structured interview data. Results: We elicited the prioritization heuristics used by the physicians, and found a CCR system needed to be relevant, easy to resolve, and integrated with workflow. The redesign impacted 80% of physicians and 44% of prioritization decisions. Decisions were no longer correlated to resolution time given the new design. The proposed design features were rated useful or very useful. Conclusion: This study demonstrated that the redesign of a CCR system using a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter can impact clinicians’ decision making. These features are expected to ultimately improve the quality of care and patient safety.
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Basch, E. M., A. Iasonos, A. Barz, A. Culkin, M. G. Kris, D. Artz, P. Fearn, J. Speakman, H. I. Scher, and D. Schrag. "Long-term toxicity monitoring via electronic patient reported outcomes in end-stage chemotherapy patients." Journal of Clinical Oncology 25, no. 18_suppl (June 20, 2007): 9025. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.9025.

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9025 Background: In cancer trials, clinicians are required to report patient toxicity symptoms using the NCI's Common Terminology Criteria for Adverse Events (CTCAE). Alternatively, patients could provide this information directly as patient-reported outcomes (PROs). This strategy is advocated by the FDA and is standard in non-oncology trials. But it remains unclear if this approach is feasible over long periods, or in patients with high symptom burdens. Methods: Lung cancer patients starting chemotherapy were selected for this feasibility assessment because they are relatively older, sicker, and less web avid than other cancer populations. A patient adaptation of the CTCAE was uploaded to a web portal for self-reporting, including 15 items common in this population. Over 16-months, participants were encouraged but not required to login and complete an online questionnaire at clinic visits via a touchscreen computer. Optional home access was provided without reminders. Results: Beginning in June 2005, 125 patients were approached and 107 enrolled. Reasons for refusal included “too distressed” and “dislike computers.” Mean enrollment was 42 weeks (1–71), during which 35% of participants died. The average number of clinic visits was 12 (1–40). At each consecutive visit most patients (75–85%) logged in without significant attrition over time, even up to the 40th visit. Reasons for failure to login included “lack of reminder” and “inadequate time.” Prior computer experience was associated with greater adherence (p=0.017), but there was no relationship with sex, age, education, stage, or performance status. Most (90%) found the system useful and would recommend it to others, but only 77% felt it improved communication. Although 76% had access to home computers, only 15% voluntarily self-reported from home. Conclusions: Self-reporting is a feasible long-term strategy for toxicity symptom monitoring in most chemotherapy patients, including those with high symptom burdens. In future evaluations, adherence may be improved with more consistent personal encouragement to login in clinic, electronic reminders for home users, consistent staff response to patients’ symptom reports and alternative data collection methods for those who fail to report electronically. No significant financial relationships to disclose.
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Lister, Nichole A., Anthony Smith, and Christopher K. Fairley. "Introduction of screening guidelines for men who have sex with men at an STD clinic, the Melbourne Sexual Health Centre, Australia." Sexual Health 2, no. 4 (2005): 241. http://dx.doi.org/10.1071/sh05006.

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Background: A recent audit indicated that a substantial proportion of men who have sex with men (MSM) were not screened for rectal gonorrhoea and chlamydia at the Melbourne Sexual Health Clinic, Melbourne, Australia. In response, screening guidelines for MSM were introduced at the clinic using a computer reminder. The aim of this study was to evaluate the impact of the guidelines and alert on screening MSM for gonorrhoea and chlamydia. Methods: The medical records of MSM were reviewed for gonorrhoea and chlamydia screening by site (pharyngeal, urethral and rectal), four months before the implementation of the guidelines and alert (July to October 2002), and one year thereafter (beginning November 2002). Results: After the introduction of the guidelines there was a significant increase in rectal chlamydia testing (55% to 67%, P < 0.001), and significant reduction in pharyngeal chlamydia and gonorrhoea testing (65% to 28%, P < 0.001, and 83% to 76%, P = 0.015 respectively). The proportion of tests that were positive by any site did not change (7% to 7%). Conclusions: The introduction of a computer reminder for new guidelines was temporally associated with screening that conformed more closely to clinical guidelines.
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Agostini, Joseph V., Ying Zhang, and Sharon K. Inouye. "Use of a Computer-Based Reminder to Improve Sedative–Hypnotic Prescribing in Older Hospitalized Patients." Journal of the American Geriatrics Society 55, no. 1 (January 2007): 43–48. http://dx.doi.org/10.1111/j.1532-5415.2006.01006.x.

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Wilbur, Lee, Gretchen Huffman, Stephanie Lofton, and John T. Finnell. "The Use of a Computer Reminder System in an Emergency Department Universal HIV Screening Program." Annals of Emergency Medicine 58, no. 1 (July 2011): S71—S73.e1. http://dx.doi.org/10.1016/j.annemergmed.2011.03.028.

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Herzberg, Susanne, Kambiz Rahbar, Lars Stegger, Michael Schäfers, and Martin Dugas. "Concept and implementation of a computer-based reminder system to increase completeness in clinical documentation." International Journal of Medical Informatics 80, no. 5 (May 2011): 351–58. http://dx.doi.org/10.1016/j.ijmedinf.2011.02.004.

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Kwon, Ohbyung, and Sungchul Choi. "Applying associative theory to need awareness for personalized reminder system." Expert Systems with Applications 34, no. 3 (April 2008): 1642–50. http://dx.doi.org/10.1016/j.eswa.2007.01.026.

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Ma, Christina Zong-Hao, Alan Kai-Lun Chung, Yan To Ling, Zi-Hao Huang, Connie Lok-Kan Cheng, and Yong-Ping Zheng. "121 A Newly-Developed Smart Insole System with Instant Reminder: Paves the Way towards Integrating Artificial Intelligence (AI) Technology to Improve Balance and Prevent Falls." Age and Ageing 48, Supplement_4 (December 2019): iv28—iv33. http://dx.doi.org/10.1093/ageing/afz164.121.

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Abstract Background Falls in senior people have high incidence& lead to severe injuries [1]. Application of smart wearable systems (with sensors to monitor user’s balance and corresponding instant reminder to let tusers adjust posture/motion) can effectively improve static standing balance [2], reduce reaction time and body sway in response to balance perturbation [3], improve walking pattern [4], and reduce the risk of falls [5, 6]. However, previous systems have not considered the daily monitor of user’s balance and falling risks, and the personalized reminder. Artificial intelligence (AI) and big data analytics have been widely used to monitor the daily physical activity [7], while few studies have utilized them to improve balance/gait and prevent falls. Methods This study has optimized previous devices by integrating AI technology and developed a new smart insole system. The system consisted of insoles with embedded sensors that can capture the foot motion and plantar pressure, smart watch that connected with insoles wirelessly and then transmitted the foot motion and force data to Cloud server via Wi-Fi, central Cloud server for big data transmission and storage, workstation for big data analytics and machine learning, and user interface for data visualization (e.g. smartphone, tablet, and/or laptop). Results & Discussion The system transmission rate was up to 30 Hz. The collected big data contained all sensor signals captured before and after delivering reminder, and from day-to-day monitoring of users. The customized reminder varied in the type, frequency, magnitude, and amount/dosage. This AI smart insole system enabled the monitor of daily balance and falling risks and the provision of timely-updated and customized reminder to users, which could potentially reduce the risk of falls and slips. It can also act as a balance-training device. References 1. Rubenstein.Age ageing, 2006. 35(suppl2):p.ii37-ii41. 2. Ma.Sensors, 2015. 15(12):p.31709-31722. 3. Ma&Lee.Human Movement Science, 2017. 55:p.54-60. 4. Ma.Topics in stroke rehabilitation, 2018. 25(1):p.20-27. 5. Wan.Archives of physical medicine& rehabilitation, 2016. 97(7):p.1210-1213. 6. Ma.Sensors, 2016. 16(4):p.434. 7. Badawi.Future Generation Computer Systems, 2017. 66:p.59-70.
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Lin, Chi-Yi, and Ming-Tze Hung. "A location-based personal task reminder for mobile users." Personal and Ubiquitous Computing 18, no. 2 (March 7, 2013): 303–14. http://dx.doi.org/10.1007/s00779-013-0646-2.

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Tu, You, Ling Chen, Mingqi Lv, Youbiao Ye, Weikai Huang, and Gencai Chen. "iReminder: An Intuitive Location-Based Reminder That Knows Where You Are Going." International Journal of Human-Computer Interaction 29, no. 12 (December 2, 2013): 838–50. http://dx.doi.org/10.1080/10447318.2013.796440.

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39

Olaniyi Abiodun, Ayeni, Dada Olabisi, and Talabi Olanrewaju. "Lecture Time Table Reminder System on Android Platform (Case Study: Final Year Students, Computer Science Department)." International Journal of Wireless and Microwave Technologies 7, no. 1 (January 8, 2017): 13–23. http://dx.doi.org/10.5815/ijwmt.2017.01.02.

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Dawson, L. A. "Effective Administration of Influenza and Pneumococcal Vaccines in the Emergency Department Using a Computer Reminder System." Academic Emergency Medicine 13, no. 5Supplement 1 (May 1, 2006): S115. http://dx.doi.org/10.1197/j.aem.2006.03.283.

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GOLDBERG, HAROLD. "Do Computer-Generated Reminder Letters Improve the Rate of Influenza Immunization in an Urban Pediatric Clinic?" Archives of Pediatrics & Adolescent Medicine 147, no. 7 (July 1, 1993): 717. http://dx.doi.org/10.1001/archpedi.1993.02160310019007.

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Segarra-Newnham, Marisel. "Tracking Vaccination Rates among HIV-Positive Patients with a Computerized Reminder System." Hospital Pharmacy 38, no. 8 (August 2003): 758–62. http://dx.doi.org/10.1177/001857870303800814.

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Objective This study deterimined vaccination rates at a Veterans Affairs HIV clinic before and after the 1997 implementation of a computerized reminder system. Methods Before implementation of a computerized reminder system, vaccinations were not always recorded on patients' medical records. After implementation, vaccinations were documented in the computer record and the system alerted providers when patients became due for a pneumococcal vaccine, tetanus booster, or other immunization. Charts for all patients (n = 211) enrolled in the HIV clinic were assessed for vaccination dates. Vaccination rates for patients (n = 71) enrolled before 1997 were compared with rates for patients (n = 140) enrolled after the computerized system was installed. The new system enabled the clinical pharmacist to monitor vaccination rates on a quarterly basis and facilitate patient appointments. Results Vaccination rates for patients enrolled before 1997 were 100% for initial pneumococcal vaccination and 100% for tetanus. Seventy-six percent of patients due for a pneumococcal vaccine booster had received it. In contrast, patients enrolled after 1997 had vaccination rates of 94% for pneumococcal vaccine; eight recently enrolled patients did not have documentation of vaccination. The clinical pharmacist scheduled these patients and the rate increased to 97%. Due to a product shortage, only 61% of patients enrolled after 1997 had received tetanus vaccine. Conclusions A computerized reminder system allows for reliable tracking of vaccination rates and can be used by pharmacists to improve preventive care for HIV-positive patients. Overall vaccination rates were well above the national norm.
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Saha, Saibal Kumar, Anindita Adhikary, Ajeya Jha, and Vijay Kumar Mehta. "Improvement in Medication Adherence Using TV Programmes as Reminders." International Journal of Asian Business and Information Management 12, no. 3 (July 2021): 242–54. http://dx.doi.org/10.4018/ijabim.20210701.oa15.

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According to WHO, only 50% of patients adhere to chronic therapy. The problem of non-adherence has persisted over decades. Over 197 million Indian households have TV sets, and on average Indians spend 3 hours, 44 minutes watching television. A TV programme is used as intervention by patients to improve medication adherence rates. The objective of the research is to find the effect of TV programmes as a form of reminder in improving medication adherence. With the help of a structured questionnaire, the information about medication adherence behaviour was obtained from patients suffering from different types of diseases in the state of Sikkim, India. It has been found that when patients use TV programmes as a form of reminder, the odds of missing the medication consciously reduces by 45.9%. At a personal level, the probability that a person will not miss the time of medication is 42.3% higher compared to when it is not used, and if the total population is considered, 15.6% fewer people would not be missing the medication at all when the reminder is used.
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Sakshaug, Joseph W., Basha Vicari, and Mick P. Couper. "Paper, E-mail, or Both? Effects of Contact Mode on Participation in a Web Survey of Establishments." Social Science Computer Review 37, no. 6 (November 28, 2018): 750–65. http://dx.doi.org/10.1177/0894439318805160.

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Identifying strategies that maximize participation rates in population-based web surveys is of critical interest to survey researchers. While much of this interest has focused on surveys of persons and households, there is a growing interest in surveys of establishments. However, there is a lack of experimental evidence on strategies for optimizing participation rates in web surveys of establishments. To address this research gap, we conducted a contact mode experiment in which establishments selected to participate in a web survey were randomized to receive the survey invitation with login details and subsequent reminder using a fully crossed sequence of paper and e-mail contacts. We find that a paper invitation followed by a paper reminder achieves the highest response rate and smallest aggregate nonresponse bias across all-possible paper/e-mail contact sequences, but a close runner-up was the e-mail invitation and paper reminder sequence which achieved a similarly high response rate and low aggregate nonresponse bias at about half the per-respondent cost. Following up undeliverable e-mail invitations with supplementary paper contacts yielded further reductions in nonresponse bias and costs. Finally, for establishments without an available e-mail address, we show that enclosing an e-mail address request form with a prenotification letter is not effective from a response rate, nonresponse bias, and cost perspective.
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Suzuki, Takuo, Yuta Jose, and Yasushi Nakauchi. "Impression Difference Between Intelligent Medicine Case and Small Service Robot in Self-Medication Support Situations." Journal of Robotics and Mechatronics 25, no. 5 (October 20, 2013): 855–62. http://dx.doi.org/10.20965/jrm.2013.p0855.

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Medication management support systems were developed to prevent recipient’s mistakes such as forgetting to take medicine. The systems remind recipients to take medicine at the right time via a medicine case with a built-in speaker or display, and they must keep recipient motivation to continue doing so. In this research, the authors found factors to keep the motivation by evaluating recipient impression of a management support system. In addition to an intelligent medicine case, a small service robot was used as a reminder to supplement the above because some researchers reported that a robot has good features as a user interface. The authors defined three experimental situations and two conditions and compared the conditions in the situations based on a semantic differential. Questionnaires for overall evaluation and video analysis for objective evaluation were also used. Experimental results suggested that humane, friendly, flamboyant, sunny, and simple impressions improve recipient motivation and concentration.
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Gatuha, George, and Tao Jiang. "KenVACS: Improving Vaccination of Children through Cellular Network Technology in Developing Countries." Interdisciplinary Journal of Information, Knowledge, and Management 10 (2015): 037–46. http://dx.doi.org/10.28945/2208.

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Health Data collection is one of the major components of public health systems. Decision makers, policy makers, and medical service providers need accurate and timely data in order to improve the quality of health services. The rapid growth and use of mobile technologies has exerted pressure on the demand for mobile-based data collection solutions to bridge the information gaps in the health sector. We propose a prototype using open source data collection frameworks to test its feasibility in improving the vaccination data collection in Kenya. KenVACS, the proposed prototype, offers ways of collecting vaccination data through mobile phones and visualizes the collected data in a web application; the system also sends reminder short messages service (SMS) to remind parents on the date of the next vaccination. Early evaluation demonstrates the benefits of such a system in supporting and improving vaccination of children. Finally, we conducted a qualitative study to assess challenges in remote health data collection and evaluated usability and functionality of KenVACS.
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Veselý, A. "On the representation of expert procedural knowledge ." Agricultural Economics (Zemědělská ekonomika) 52, No. 11 (February 17, 2012): 516–21. http://dx.doi.org/10.17221/5059-agricecon.

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Procedural knowledge is used by experts for complex system control. In this article, the notion of a complex system is taken in a broad sense. It might be a patient cured by a physician specialist, a biotechnological device, a department of some business enterprise etc. The GLIF model was designed in collaboration of American universities for the formalization of medical guidelines, but it can be used for formal representation of any procedural knowledge. The main objective of the GLIF model was to enable computer processing and comparing of medical guidelines. In this, article also a more sophisticated use of procedural knowledge representation by the means of the GLIF model is proposed. The provided data about expert actions are stored into the database, the formalized knowledge represented by the GLIF model can be used for building up sophisticated reminder systems that warn the user if he decides to make an impropriate action. Different kinds of warnings in the reminder system are proposed and their properties are discussed. At the end, also the possibility of using the GLIF model for decision support is discussed.&nbsp;
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Zhou, Shandan, Chao-Hisen Chu, Zhiwen Yu, and Jungyoon Kim. "A context-aware reminder system for elders based on fuzzy linguistic approach." Expert Systems with Applications 39, no. 10 (August 2012): 9411–19. http://dx.doi.org/10.1016/j.eswa.2012.02.124.

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Shah, Sidrah, Barati Monare, Sandra Urusaro, Rohini Bhatia, Sherman Preet Singh, Tlotlo Ralefala, Givy Dhaliwal, and Surbhi Grover. "Usability and Effectiveness of a Smartphone Application for Tracking Oncology Patients in Gaborone, Botswana." Journal of Global Oncology 5, Supplement_1 (October 2019): 11. http://dx.doi.org/10.1200/jgo.19.20000.

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PURPOSE Most cancer diagnoses are expected to be in low- and middle-income countries (LMICs) by 2025, and 65% of cancer deaths occur in LMICs. Treatment adherence and patient monitoring are essential to cancer care but are often not possible in LMICs. OP Care, a smartphone application developed to fill this gap, stores medical records virtually and texts appointment reminders to patients. This study assessed its usability and effectiveness. METHODS OP Care was piloted at Princess Marina Hospital in Gaborone, Botswana. The study was a cross-sectional study using surveys. All providers using the application were surveyed, along with all patients who were previously enrolled in the application and attended the gynecologic oncology clinic during the 3-week survey period. Staff demographics, reaction, opinions on usability, and patients’ reactions to appointment reminders were collected. Answers were recorded on a 1 (not at all) to 7 (extremely so) scale. Primary outcomes were the application’s usability and the effectiveness of the text reminders. The University of Pennsylvania Institutional Review Board and the Ministry of Health and Wellness in Botswana gave approval for the study. Patients provided written consent before enrollment. RESULTS Nine staff and 15 patients were surveyed. Staff included three doctors and six nurses, all of whom own a smartphone and use a computer at home. Most staff (78%) did not feel OP Care would increase their work burden and were willing to use the application if implemented permanently (median response, 6; interquartile range [IQR], 1). Most usability questions (17 of 19), such as “I feel comfortable using this system,” scored a median of 6. Most patients believed that the reminder text messages were helpful (median, 6; IQR, 1) but wanted the text reminders to be in the Setswana language (median, 7; IQR, 1). CONCLUSION High usability scores indicate the application is adaptable to other clinics. Although patients appreciate OP Care, the option for call and text reminders in Setswana is indicated. A potential limitation is that patients for whom the appointment reminders were not helpful were not necessarily included, because only patients in the clinic were surveyed. Strengths were inclusion of all involved staff, uniformity in survey administration, and inclusion of numerical analysis.
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Plant, Richard R. "A reminder on millisecond timing accuracy and potential replication failure in computer-based psychology experiments: An open letter." Behavior Research Methods 48, no. 1 (March 12, 2015): 408–11. http://dx.doi.org/10.3758/s13428-015-0577-0.

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