Relevant bibliographies by topics / Medication reminder

Academic literature on the topic 'Medication reminder'

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Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Medication reminder"

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Santo, Karla, Clara K. Chow, Aravinda Thiagalingam, Kris Rogers, John Chalmers, and Julie Redfern. "MEDication reminder APPs to improve medication adherence in Coronary Heart Disease (MedApp-CHD) Study: a randomised controlled trial protocol." BMJ Open 7, no. 10 (October 2017): e017540. http://dx.doi.org/10.1136/bmjopen-2017-017540.

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IntroductionThe growing number of smartphone health applications available in the app stores makes these apps a promising tool to help reduce the global problem of non-adherence to long-term medications. However, to date, there is limited evidence that available medication reminder apps are effective. This study aims to determine the impact of medication reminder apps on adherence to cardiovascular medication when compared with usual care for people with coronary heart disease (CHD) and to determine whether an advanced app compared with a basic app is associated with higher adherence.Methods and analysisRandomised controlled trial with follow-up at 3 months to evaluate the feasibility and effectiveness of medication reminder apps on medication adherence compared with usual care. An estimated sample size of 156 patients with CHD will be randomised to one of three groups (usual care group, basic medication reminder app group and advanced medication reminder app group). The usual care group will receive standard care for CHD with no access to a medication reminder app. The basic medication reminder app group will have access to a medication reminder app with a basic feature of providing simple daily reminders with no interactivity. The advanced medication reminder app group will have access to a medication reminder app with additional interactive and customisable features. The primary outcome is medication adherence measured by the eight-item Morisky Medication Adherence Scale at 3 months. Secondary outcomes include clinical measurements of blood pressure and cholesterol levels, and medication knowledge. A process evaluation will also be performed to assess the feasibility of the intervention by evaluating the acceptability, utility and engagement with the apps.Ethics and disseminationEthical approval has been obtained from the Western Sydney Local Health Network Human Research Ethics Committee (AU/RED/HREC/1/WMEAD/3). Study findings will be disseminated via usual scientific forums.Trial registration numberACTRN12616000661471; Pre-results
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Shade, Marcia, Kyle Rector, and Kevin Kupzyk. "VERIFICATION OF PAIN MEDICATION ADHERENCE IN OLDER ADULTS USING INTERACTIVE VOICE REMINDERS." Innovation in Aging 3, Supplement_1 (November 2019): S926. http://dx.doi.org/10.1093/geroni/igz038.3371.

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Abstract Adherence to analgesics needs to be monitored to ensure optimal pain management and avert adverse events among older adults. mHealth reminders may encourage adherence behavior, but it is unclear if medication use ensues following the reminder. The purpose of this study was to trial the use of medication event monitoring to verify the initiation of scheduled pain medication after an mHealth reminder. Methods: N=15 adults 55 and older created Google Assistant reminders to take their scheduled pain medication and write in a pain diary. A sub sample of n= 5 participants used a Medication Event Monitoring System Cap with their scheduled pain medications over 4 weeks. Data were collected on demographics, pain severity, and medication adherence. Descriptive statistics were performed. Results: Five women with ages ranging from 56-80 years, reported pain in multiple body locations. Pain severity on average was rated at 4 and at its worst 7; with pain relief ranging from 50-90%. Adherence percentages ranged from 82% to 100%. The overall latency was M = 55 min, SD = 100 min. The average latencies varied among the 5 participants; the shortest average time was 17 minutes and the longest average time was 4.5 hours. Only 15% of pain medications were taken within 5 minutes and 64% within 30 minutes of the interactive voice assistant reminder. Conclusions: It is important to ensure a behavioral intervention promotes the desired outcome. Medication event monitoring systems may help to identify non adherent behaviors when using mHealth interventions to promote pain medication adherence.
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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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Alaspure, Sonali Subhash, and Dr A. P. Thakare. "Linux Based Speaking Medication Reminder Project." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 2285–88. http://dx.doi.org/10.31142/ijtsrd12726.

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Santo, Karla, Anna Singleton, Clara K. Chow, and Julie Redfern. "Evaluating Reach, Acceptability, Utility, and Engagement with An App-Based Intervention to Improve Medication Adherence in Patients with Coronary Heart Disease in the MedApp-CHD Study: A Mixed-Methods Evaluation." Medical Sciences 7, no. 6 (June 4, 2019): 68. http://dx.doi.org/10.3390/medsci7060068.

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Objective: The aim of this study was to assess the reach, acceptability, utility, and engagement with the apps that were used in the MEDication reminder APPlications (apps) to improve medication adherence in Coronary Heart Disease (MedApp-CHD) study, a randomised clinical trial to improve medication adherence, using a mixed-methods approach. Methods: The MedApp-CHD study randomised 163 patients with coronary heart disease (CHD) to one of three groups: (i) usual care (n = 56), (ii) a basic medication reminder app (n = 54), or (iii) an advanced medication reminder app (n = 53). For this mixed-methods evaluation, the data sources included patient screening logs, feedback questionnaires collected at three-month follow-up, focus groups discussions, and analytical data from the app software. Results: Ninety-four percent (98/104) of participants who received a medication reminder app completed the three-month feedback questionnaire and 15 participated in the focus group discussions. The themes that were identified included that participants (i) found the medication reminders useful in reminding them to take the medications on the correct time every day, (ii) liked having the medication list as an easily-accessible record of medications’ names and dosages, (iii) reported being likely to continue to use the apps after the study completion, (iv) would be likely to recommend the apps to their family and friends, and (v) those who used the clinical measurements feature found it useful as a tool to track and graph the blood pressure and glucose levels over time (especially those with diabetes and/or hypertension). In addition, analytical data from the app software demonstrated that the participants used the medication-related features more than the clinical measurements feature. Furthermore, data from the patient screening logs showed that the main reason for exclusion, other than not meeting the CHD criteria, was not having a suitable smartphone, and those that were excluded for this reason were older and had a higher proportion of females than those enrolled in the study. Conclusion: This study provides important insights regarding the features that are most useful in apps that aim to improve medication adherence. This mixed-methods evaluation suggests that, currently, young male patients with CHD are more likely to use such apps, that the apps were well-accepted and useful in reminding the patients to take the medications, and that the patients were engaged in regularly using the apps.
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Stuck, Rachel E., Amy W. Chong, L. Mitzner Tracy, and Wendy A. Rogers. "Medication Management Apps: Usable by Older Adults?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (September 2017): 1141–44. http://dx.doi.org/10.1177/1541931213601769.

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For older adults, managing medications can be a burden and could lead to medication non-adherence. To decrease risks associated with medication non-adherence, healthcare providers may recommend medication reminder apps as an assistive tool. However, these apps are often not designed with consideration of older adults’ needs, capabilities, and limitations. To identify whether available apps are suitable for older adults, we conducted an in-depth cognitive walkthrough and a heuristic evaluation of the most commonly downloaded medication reminder app. Findings revealed three main issues: 1) difficulty in navigation, 2) poor visibility, and 3) a lack of transparency. We also selected the top five downloaded medication reminder apps and categorized user reviews to assess app functionality and usability problems. The results of our analysis provide guidance for app design for older adult users to provide effective tools for managing medications and supporting patient/user health.
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Rattanayotin, Jakrapong, and Asst Prof Dr Vajirasak Vanijja. "Designing and Developing Android Application for Medication Reminder to Improve Treatment Efficiency of Stroke Patient." KnE Social Sciences 3, no. 1 (January 15, 2018): 143. http://dx.doi.org/10.18502/kss.v3i1.1403.

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Stroke patients often experience problems of taking medications due to forgetfulness, a number of medications causing confusion to take, or even the side effects making the patients refuse to take medications resulting in ineffective treatment. In this study, the researchers study and develop information technology in the form of Android application in order to educate and remind the stroke patients to take medications by developing a prototype system called DCMed. The research finds that the stroke patients in the experimental group using DCMed system are more interested and complied with taking medications accounting for 42.86%. Moreover, the patients can take medications more timely than those in the control group at the significant level of 0.05.Keywords: stroke patient, medication discontinuation, medication reminder system, Android application, web application, medication compliance, IMB Model
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Kamimura, T., and H. Ito. "Glycemic control in a 79-year-old female with mild cognitive impairment using a medication reminder device: a case report." International Psychogeriatrics 26, no. 6 (January 2, 2014): 1045–48. http://dx.doi.org/10.1017/s1041610213002408.

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ABSTRACTA 79-year-old female with type 2 diabetes and mild cognitive impairment (Clinical Dementia Rating score of 0.5) was supported with medication with regard to the daily requirements using a medication reminder device. Use of this device not only improved her medication adherence, hemoglobin A1c level, and self-confidence but also reduced caregiver's burden. For elderly patients with such diseases, loading the device with medication, providing advance notice before mechanical reminders for a short period after the device's activation, monitoring unused medication, and adjusting the timing of reminders according to users’ daily routine, seemed to facilitate daily use of the device.
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Mardianto, Rudy. "Aplikasi Pengingat Minum Obat Di Desa Sumbersuko Kecamatan Wagir Kabupaten Malang." Jurnal ABM Mengabdi 8, no. 2 (December 2, 2021): 33. http://dx.doi.org/10.31966/jam.v8i2.951.

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The people of Sumbersuko village in Wagir sub-district, Malang district, on average, already have an Android-based smartphone. The medication reminder application found on the smartphone is not yet known and used. The training program for 12 health cadres is expected that they understand and are able to use the medication reminder application well. Training is given to health cadres so that they can disseminate information to the community. The methods used in the training were lectures, discussions and trials with smartphones by health cadres. Beginning with the introduction of medication reminder applications, techniques for downloading applications and filling in drug data. The medication reminder application is important for people who are undergoing treatment for chronic diseases such as diabetes mellitus, tuberculosis, hypertension and other diseases who must take medication uninterruptedly. Medication reminder applications can improve adherence. Compliance with taking medication is one of the factors that affect the success of treatment, so the presence of this application is appropriate when applied. The alarm in the medication reminder application will help especially the elderly in Sumbersuko village. The presence of a medication reminder application is expected to improve people's quality of life and reduce mortality and morbidity
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Osahon, Penaere T., Lisa A. Mote, and Veronica I. Ntaji. "Assessment of the impact of medPlan®, a medication reminder mobile application, in glaucoma patients in Benin City, Nigeria." Tropical Journal of Pharmaceutical Research 19, no. 12 (March 17, 2021): 2677–82. http://dx.doi.org/10.4314/tjpr.v19i12.28.

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Purpose: To assess the impact of medPlan®, a medication reminder mobile application in glaucoma patients in Benin City, Nigeria.Methods: In a randomized control trial with 2 months follow-up period, 200 patients receiving drug therapy for glaucoma were randomized into either into a control or study group. The study group comprised participants who made use of a medication reminder mobile application, medPlan®, while the control group consisted of those patients who did not use the application. Adherence to medication was measured for all the patients in both groups. Data was collected using a carefully designed questionnaire and statistically analyzed.Results: This study recorded 100 % response rate from the participants. In the study group, 56 % were very adherent while 18 % were moderately adherent, and 26 % were non-adherent respondents as against 45 % very adherent, 13 % moderately adherent and 42 % non-adherent respondents from the control group. In addition, 78 % of those in the study group agreed that there was improvement in their medication adherence since they started using the medication reminder application. This showed a significant positive impact of the medication reminder application (p = 0.0110) on adherence to medication.Conclusion: Medication adherence was improved in glaucoma patients who used medPlan®, a smartphone medication reminder application. This study lays a foundation for further research on medication reminder mobile applications. Keywords: Glaucoma, Smartphone, Medication adherence, Impact, Medication reminder, medPlan®
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Dissertations / Theses on the topic "Medication reminder"

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Devnozashvili, Mikheili, and K. G. Selivanova. "Medication reminder device development." Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/8372.

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In this work we propose complex system that consists of manual and stationary blocks and will help patients for medication reminder. Developed system is combination of automatic pill dispenser and manual application device which will help user to manage complex medication regimes.
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Mukandatsama, Cainos. "Using a mobile pill reminder to support medication compliance in South Africa." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/4889.

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This project investigated how to develop a mobile intervention to support medication compliance for patients with chronic and acute diseases. Chronic diseases cannot be cured but can be controlled, usually by taking medication every-day. Therefore, it is very crucial for a patient with a chronic disease to take their medication on time to prevent complications or negative impact on their health. Due to the widespread use of mobile phones, having an automated mobile mechanism to remind patients to take medication is regarded as an effective way of supporting medication compliance. The focus of the research was on investigating how mobile health applications can be used to support patients with chronic and acute diseases in South Africa. Literature identified that medication compliance is low and that a need exists for an intervention to increase compliance. The main goal of this research was to produce a mobile health application to assist medication compliance and support patients with chronic and acute diseases in South Africa and investigate its perceived usefulness. The project made use of two field studies to substantiate its results. The first field study involved patients with chronic diseases and the second one involved patients with acute diseases. The feedback from the first field study and from a literature review was used to redesign the mobile application. The project also investigated the attitude of patients taking medication over a short period of time as well as how such patients compared with those taking chronic medication. The project identified the benefits and disadvantages of using an m-health application to support medication compliance based on the participants’ feedback and behaviour observed in using the application.
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Ugburo, Emmanuel Oritseweyinmi. "Effects of telephonic SMS reminders influence on adherence to scheduled medication pick up appointments among adults on antiretrovirals at the Swakopmund State Hospital ART clinic Namibia." University of the Western Cape, 2015. http://hdl.handle.net/11394/4735.

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Magister Public Health - MPH
Background: Adherence of patients on antiretroviral therapy to lifelong treatment is a major challenge within the public health system in Namibia. Missed appointments have been shown to contribute to poor clinical outcomes and treatment failure, which may necessitate switching to more expensive antiretroviral regimens. In resource limited settings monitoring of appointments for antiretroviral medication pick up is a documented and feasible method for assessing minimum levels of adherence to antiretroviral medication. Aim: This study was aimed at evaluating the effects of telephonic short message service reminders influence on adherence to scheduled antiretroviral medication pick up appointments. It was also aimed at evaluating how socio-demographic parameters might moderate the effectiveness of short message service reminders. Study design: A randomized double blind controlled study design was employed. Methodology: Stable patients attending the ART clinic were recruited and randomly assigned to either an intervention or control group, until the sample size of 398 was reached in the two arms of the study. The study populations were adult patients’ ≥ 18 years who have been enrolled on treatment for ≥ 3months. The intervention group received an unasked for single short message service reminder, sent 48 hours before their scheduled appointments and continued with standard care, while the control group received standard care without any reminder. The study participants were blinded to their study group. Also, research assistants involved in collecting baseline and outcome data were blinded to study participants study group. Baseline data was collected through a structured questionnaire. Study participants were followed up for four consecutive scheduled ARV pick up appointments. The following outcome data were collected at each follow up visit; number of days late after scheduled appointment, adherence measured by pill count and 3 days self-report recall of adherence. Main results: The pre-intervention survey revealed that only 60% of the study participants were willing to be reminded of their medication pick up appointment. Overall, the SMS reminder improved adherence to medication pick up appointments by 1.6 times as compared to no reminder and also reduced the risk of missing medication pick appointments by 22% as compared to no SMS reminder. Study participants that received a reminder were also two times more likely to achieve optimal adherence to their medication, compared to those who received no reminder. The SMS reminder improved adherence to antiretroviral medication by 11% in this study, while the mean difference in the number of days late to collect antiretroviral medication was significantly reduced by about 4 days by the intervention. Participants that are employed were more likely to adhere to antiretroviral medications as compared to the unemployed. Ironically participants that were on ART for less than one year and those that had treatment supporters reminding them of their medication appointments were significantly less likely to honour their medication pick up appointments. Conclusion: Being employed was significantly associated with attaining optimal adherence to antiretroviral medication. There were no other significant associations between the patients socio- economic and demographic characteristics and adherence to scheduled medication pick up appointments, or to adherence to medication. Recommendations: The Ministry of Health and Social Services should consider rolling out SMS reminders to ART sites with similar settings as Swakopmund State Hospital ART Clinic. Patients that are willing to receive the reminder should be targeted in the scaling up of the roll out. Late and missed medication pick up appointments could be used as an easy proxy measurement for assessing adherence to ART.
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Leverette, Monica L. "Effectiveness of a Medication Reminder Device in the form of a Mobile Application to Improve Medication Adherence for Patients with Hypertension." Thesis, Brandman University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10103308.

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Nonadherence to antihypertensive medications is a widespread problem among dialysis patients. Nonadherence to antihypertensive medications can result in the dialysis patients’ morbidity and mortality. A pilot study was used to determine whether a medication reminder mobile application would improve dialysis participants’ adherence to their prescribed antihypertensive medications from a Midwest outpatient dialysis clinic. Dialysis participants prescribed one or more antihypertensive medications were invited to participate in the pilot study using Dosecast®, a mobile medication reminder application. The dialysis participants completed four self-reported questionnaires: Demographic Questionnaire, Brief Medication Questionnaire (BMQ-1), Modified Patient Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ), and Morisky Medication Adherence Questionnaire (MMAS-8). The questionnaires were analyzed with descriptive statistics and an independent t-test. The results from the 20 dialysis participants showed that the participants’ improved their adherence with the antihypertensive medications. This showed that Dosecast® is a beneficial tool to increase dialysis participants’ adherence to antihypertensive medications.

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Goldstein, Carly Michelle. "Randomized controlled trial of two telemedicine medication reminder systems for older adults with heart failure." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1364946106.

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Trujillo, Jorge Luis. "The Use of Coaching Sessions and a Mobile Reminder Application to Enhance Medication Adherence in Adults at an Outpatient Psychiatric Clinic." Thesis, Brandman University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3714290.

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The Use of Coaching Sessions and a Mobile Reminder Application to Enhance Medication Adherence in Adults at an Outpatient Psychiatric Clinic by Jorge Luis Trujillo The primary aim of this Clinical Scholarly Project was to assess the effectiveness of coaching sessions and a mobile reminder application to enhance medication adherence in adults at an outpatient psychiatric clinic. Several studies have suggested that patients with chronic health conditions adhere to 50–60% of the prescribed medication regimen. However, up to 80% of patients with psychiatric disorders fail to comply with their medication regimens. This translates into annual costs of $100–$300 billion per year for individual patients and healthcare systems, which significantly burdens the current healthcare system.

A pre- and post-quasi-experimental time series design was implemented for four months. The group of 15 participants was monitored for the first two months, using traditional care (e.g., presenting at the outpatient psychiatric clinic for evaluation, diagnosing, and medications management). After two months, the same group received the interventions: coaching sessions and a mobile reminder application. To determine whether the aims of the project were met, an independent paired t-test was performed to compare pre- and post-intervention data.

Conclusion: A paired-samples t-test confirmed that the medication adherence rates differed between the two post-intervention months (Times 3 and 4), t(9) = 6.00, p < .01.

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Strock, Cynthia Lynn. "The impact of electronic clinical reminders on medication trends and six-month survival after coronary artery bypass graft surgery in the Veterans Healthcare Administration /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Clinical Science) -- University of Colorado Denver, 2007.
Typescript. Includes bibliographical references (leaves 86-91). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
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Kaushik, Pallavi. "The design and evaluation of a mobile handheld intervention for providing context-sensitive medication reminders." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33888.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.
Includes bibliographical references (leaves 121-124).
This work introduces the design and exploratory evaluation of a home reminder system for medication and healthcare that situates the timing and location of reminders based on contextual information about the user. The system consists of three major components: 1) a handheld computing interface for providing reminders, 2) a sensor subsystem integrated into the home environment, and 3) a central server that manages medical tasks and reasons over sensor data in real time. A volunteer participant adhering to a complex regimen of simulated medical tasks is closely observed in a residential research facility. The participant is presented with both context-sensitive reminders and reminders that are scheduled at fixed times during the day. The degree of adherence to the regimen, and the participant's own assessment of the usefulness of each reminder (while blinded to the reminder strategy being used), are evaluated over the course of a 10-day study. Quantitative and qualitative results are provided, comparing the efficacy of context-sensitive reminders over fixed-time reminders with respect to adherence and perceived value.
by Pallavi Kaushik.
S.M.
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Li, Jian-Sing, and 李建興. "RFID in Medication Re-Ordering and Elderly Medication Reminder Systems." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/12160709513604778776.

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碩士
嶺東科技大學
資訊科技應用研究所
97
This paper explores ways to improve the timeliness of medication taken by the elderly and a medication re-ordering system for patients with chronic illness. There were two systems developed for such purpose; an automatic medication reminder system, which via RFID-based technology, gives out friendly reminder to the elderly when to take the medications, thus greatly improve the quality of the treatments; the other is an online medication re-ordering system, which allows the patients with chronic illness to re-ordering the medications without leaving their homes. Due to the strict regulations for electronic data transmission via Internet, for patients with chronic illness, they still need to go to doctor’s office for the same prescription; therefore, with the availability of chronic prescriptions, it can greatly reduce the time and cost of seeing a doctor; this research also incorporates an online platform that offers a convenient and cost saving way to re-ordering the medications from home.
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CHANG, PO-ZONG, and 張博榮. "A Reminder and Monitoring System for Patients’ Medication Adherence." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/c286f2.

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碩士
聖約翰科技大學
電機工程系碩士班
104
Nowadays, patients’ medication taking can be reminded by some smart pillboxes, nevertheless, the outcomes were difficult to monitor accurately, and this has become one of the challenges identified by World Health Organization. This thesis tried to develop an intelligent medication reminder and monitoring system including a medication platform, a wearable wrist, mediation cloud services and a dedicated App altogether to fulfill medication taking-reminding and monitoring functions. First, the medication platform is implemented with the power-efficient micro- controller, TM4C123G, together with a Wi-Fi transceiver to remind the medication- taking using color LED and sounds and upload the medication reminder to a cloud service platform for better understanding of the patient’s medication adherence. Next, a wearable wrist is designed by integrating inertial measurement unit (IMU), Bluetooth 4.0 transceiver, RTC module, and sound reminding device to monitor if the patient has taken medication after the reminder received. The medication-taking monitoring algorithm is designed by use of the featured templates analyzed from motion data of two actions, namely twist-cap and hand-to-mouth. Furthermore, the Mediatek Cloud Sandbox and Google Calendar are utilized to provide mediation cloud services and a dedicated Android App is designed to serve as human-computer interface for settings of medication reminding information, such as medicine name and uses, reminding time, reminding intervals and so on. The reminding information can be uploaded to the medication platform, the wearable wrist and the two cloud service platforms. It is hoped that with the help of the proposed medication taking-reminding and monitoring system, patients’ adherence to medication and recovery can be facilitated. Meanwhile, the waste of medication can be possibly reduced.
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Books on the topic "Medication reminder"

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Point, To. Medication Log Book, Medicine Tracker: 150 Pages, Medicine Log, Pill Log for Optimum Tracking, Medication Chart, Medication Reminder, Medicine Journal, Meds Reminder. Independently Published, 2020.

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Burns, Tom, and Mike Firn. Medication compliance. Edited by Tom Burns and Mike Firn. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754237.003.0011.

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Differing terms are used for compliance, including concordance and adherence. This chapter examines the range of obstacles to compliance, including side effects, lack of insight, lack of effectiveness, and resistance to being reminded of the illness. The influence of family and friends is also considered. We believe it is often best to avoid complex explanations, and just accept that it is difficult to remember to take medicines regularly for months and years. Several strategies exist to improve compliance, including depot preparations, psycho-education, and efforts to strengthen the therapeutic relationship. Compliance therapy, based on motivational interviewing, is described in detail. The outreach worker is also uniquely able to rely on prompting and support as well as careful monitoring and structuring the clinical interview to ensure that compliance is regularly assessed. Supporting compliance is a long-term commitment, not a once-off intervention.
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Rose, Raquel, and Nicolette Molina. Interventions. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190260859.003.0010.

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Despite the fact that suicide is one of the leading causes of death in the United States, there are currently no US Food and Drug Administration-approved treatments for suicidal behavior. However, interventions that provide potentially effective treatment are available. This chapter explores medications and biological interventions as well as psychosocial, alternative, and app/Internet-based interventions. The section on medications and biological interventions covers clozapine, lithium, and ketamine. The psychosocial intervention section covers dialectical behavior therapy, cognitive–behavioral therapy for suicidal patients (CBT-SP), Collaborative Assessment and Management of Suicidality (CAMS), attachment-based family therapy, and safety planning. The section on alternative and Internet-based interventions covers mindfulness meditation as well as online applications that can act as supplements to traditional treatments. The chapter concludes with a reminder of the importance of suicide risk assessment and clinician self-care in suicide prevention.
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Rohsenow, Damaris J., and Megan M. Pinkston-Camp. Cognitive-Behavioral Approaches. Edited by Kenneth J. Sher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199381708.013.010.

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Cognitive-behavioral approaches to treatment are derived from learning principles underlying behavioral and/or cognitive therapy. Only evidence-based approaches are recommended for practice. Support for different approaches varies across substance use disorders. For alcohol use disorders, cognitive-behavioral coping skills training and cue-exposure treatment are beneficial when added to an integrated treatment program. For cocaine dependence, contingency management combined with coping skills training or community reinforcement, and coping skills training added to a full treatment program, produce increased abstinence. For marijuana abuse, contingency management or coping skills training improve outcomes. For opiate dependence, contingency management decreases use of other drugs while on methadone. For smoking, aversive conditioning produces good results and key elements of coping skills training are supported, best when medication is also used. Recent advances include Web-based coping skills training, virtual reality to present cues during cue exposure, and text-messaging to remind clients to use coping skills in the natural environment.
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Book chapters on the topic "Medication reminder"

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Lo, Yi-Lin, Chang-Franw Lee, and Wang-Chin Tsai. "Electronic Medication Reminder for Older Adults." In Human Centered Design, 327–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21753-1_37.

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N, Alivelu Manga, and Sathish P. "IoT-Based Medication Reminder Devices: Design and Implementation." In Handbook of Smart Materials, Technologies, and Devices, 1–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58675-1_106-1.

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Hashemi, Ray, Les Sears, and Azita Bahrami. "An Android Based Medication Reminder System: A Concept Analysis Approach." In Conceptual Structures for Discovering Knowledge, 315–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22688-5_25.

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Tsai, Pei-Hsuan, Chi-Sheng Shih, and Jane W. S. Liu. "Mobile Reminder for Flexible and Safe Medication Schedule for Home Users." In Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments, 107–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21616-9_13.

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Kasiselvanathan, M., J. Prasad, and G. Sekar. "Arduino UNO Controller and RTC-Based Medication Reminder and Monitoring System." In Proceedings of International Conference on Communication and Artificial Intelligence, 199–204. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0976-4_17.

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Noleto, Jaqueline Donin, Vítor José Costa Rodrigues, Rhenan Castelo Branco Cirilo Carvalho, and Francisco Ribeiro dos Santos Júnior. "Interfaces of Medication Reminder Applications: An Analysis Aimed at the Elder Age." In Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance, 493–512. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22012-9_36.

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Kalkattawi, Mohammed, and Tatsuo Nakajima. "Ubiquitous Healthcare Systems: Improving the Adherence Level within Diabetic Medication Using Cloud-Based Reminder System." In Human Interface and the Management of Information. Information and Knowledge Design, 535–46. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20612-7_51.

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Zhang, Yaming, Yang Qiu, Zhengxiang Pan, Xinjia Yu, and Chunyan Miao. "Infusing Motivation into Reminders for Improving Medication Adherence." In Social Computing and Social Media: Applications in Marketing, Learning, and Health, 456–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77685-5_33.

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Milić, Eleonora, Dragan Janković, and Aleksandar Milenković. "Health Care Domain Mobile Reminder for Taking Prescribed Medications." In ICT Innovations 2016, 173–81. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68855-8_17.

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"Design of a regular medication reminder device." In Information Science and Electronic Engineering, 329–32. CRC Press, 2016. http://dx.doi.org/10.1201/9781315265278-75.

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Conference papers on the topic "Medication reminder"

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Huang, Fei-Hui. "The Needs of Smart Medication Reminder for Elderly s." In Applied Human Factors and Ergonomics Conference. AHFE International, 2021. http://dx.doi.org/10.54941/ahfe100523.

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Abstract:
The increasing burden of chronic illness is currently a significant challenge due to the aging of the global population. For most people who suffer from chronic illnesses, lifelong treatment is needed for their health management. This study is focused on the needs of elderly people with chronic conditions who require lifelong treatment for disease management in taking medications as prescribed. A face-to-face survey and a multiple case study were conducted to elicit the reasons why elderly s use pill box and to determine the effectiveness of the smart medication reminder system. The results indicated that 60% patients need a tool for assistance in taking their medication as prescribed. The experimental results showed that the smart medications reminder may effectively assist users in taking their medications as prescribed. The patients’ needs for the smart mediation reminder include reminder design, mobile medication reminder, ease of use, flexible design, and Modular Design. By using the smart medication reminder, the pressure of taking medications as prescribed may be relieved for the most elderly users. Furthermore, economic, social support, and elder care subsidies are the important factors for patient welfare.
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Suwanthara, Juthada, Areena Noinongyao, and Sirion Vittayakorn. "WiseMed: Medication reminder for seniors." In 2019 23rd International Computer Science and Engineering Conference (ICSEC). IEEE, 2019. http://dx.doi.org/10.1109/icsec47112.2019.8974675.

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Ramljak, Milan. "Smart home medication reminder system." In 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2017. http://dx.doi.org/10.23919/softcom.2017.8115585.

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Oprea, Flavia, Daniel Rosner, Flavia Popescu, and Adrian Scrab. "Mediminder – Medication Management and Reminder Application." In 2021 20th RoEduNet Conference: Networking in Education and Research (RoEduNet). IEEE, 2021. http://dx.doi.org/10.1109/roedunet54112.2021.9637712.

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Fang, Kerry, Heidi Bjering, and Anthony Maeder. "An avatar-based reminder application for medication adherence." In Annual International Conference on Computer Games Multimedia & Allied Technologies (CGAT 2016). Global Science & Technology Forum (GSTF), 2016. http://dx.doi.org/10.5176/2251-1679_cgat16.10.

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Lee, Kim Chao-Kin, Fang Lin Chao, and Yucheng Hsiao. "Daily Medication Reminder and Detection of Elderly Patients." In 2018 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW). IEEE, 2018. http://dx.doi.org/10.1109/icce-china.2018.8448616.

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Asai, Daisuke, Jarrod Orszulak, Richard Myrick, Chaiwoo Lee, Joseph F. Coughlin, and Olivier L. de Weck. "Context-aware reminder system to support medication compliance." In 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2011. http://dx.doi.org/10.1109/icsmc.2011.6084164.

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Cheng, J. L., H. W. Liu, J. Z. Lee, and M. F. Li. "Unit-dose dispensing reminder for medication adherence improvement." In International Conference on Advanced Control, Automation and Robotoics. Southampton, UK: WIT Press, 2015. http://dx.doi.org/10.2495/acar140811.

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Bai, Ying-Wen, and Ting-Hsuan Kuo. "Medication adherence by using a hybrid automatic reminder machine." In 2016 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2016. http://dx.doi.org/10.1109/icce.2016.7430735.

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Baranyi, Rene, Sascha Rainer, Stefan Schlossarek, Nadja Lederer, and Thomas Grechenig. "Visual Health Reminder: A Reminder for Medication Intake and Measuring Blood Pressure to Support Elderly People." In 2016 IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2016. http://dx.doi.org/10.1109/ichi.2016.82.

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Reports on the topic "Medication reminder"

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Ibeneme, Sam, Sandra Ndukwu, Hellen Myezwa, Franklin onyedinma, Elochukwu Ezenwankwo, Tunde Ajidahun, and Gerhard Fortwengel. Effectiveness of mobile text reminder in improving quality of life, adherence to medication, and physical exercise in patients living with HIV: a protocol for systematic review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, June 2020. http://dx.doi.org/10.37766/inplasy2020.6.0016.

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