Dissertations / Theses on the topic 'Medication reminder'

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.

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.

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.

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.

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.

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;

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.

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.

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.

博士
國立陽明大學
公共衛生研究所
97
There is evidence that patients are being prescribed a significant number of potentially harmful prescriptions despite the use of computerized safety reminder systems. Nonetheless, the physicians’ behavior with respect to the computer reminders has not been well studied yet. This problem is important because adverse drug event can result in unpredictable or undesirable effects; furthermore, it is sometime a waste of significant healthcare resources. A systematic analysis of four different implemented reminder systems on the Computerized Physician Order Entry (CPOE) was conducted at a 737-bed teaching medical center in northern Taiwan. The log file, combined with the physicians’ profiles, was statistically examined using the Mantel-Haenszel technique. Over the duration of this research, a total of 188,182 order sets involving 896,131 orders were entered. 0.37% of patients received potential overdose prescriptions and dosing guidance reminders were triggered, 3% of patients received potential duplicated prescriptions, 1.2% of patients received potential DDI prescriptions, and 25% of pregnant patients received potential unsafe prescriptions. Dosing guidance and drug duplication reminder has average good acceptance rate. In dosing guidance reminder system physicians has high relative coefficient in responding two kinds of overdose reminders. Pediatric (22.2% and 37.8%) and some physicians were expected and found with high rate of acceptance. The physicians related variables (workload, department, educational background, years in practice at the target hospital and age) were found to be critically relevant to drug duplication alert system. DDI and pregnancy safety drug reminder has worse acceptance rate and polarized results. Original designers (pharmacists) for rules (and alert database) of DDI were aiming for Neurosurgeons, Neuron-internists, Cardiac surgeons and Cardiologists and pregnancy safety for obstetrics and gynecologists. However, these physicians responded very badly to the reminders than other physicians. And according to the polarized results it is possible the reminder system has misled some physicians by implying that some prescriptions are dangerous which resulted in unintended consequences. A total analysis between four reminder systems was made during the study. It found error-producing conditions including alerts without clinical relevant and importance, alerts are not bridging temporal spatial gap, alerts don’t help to insurance claim. These may result in active failures of the physician, like ignoring alerts and misinterpretation alert. The newly generated reason’s model states how and why physicians overrode the reminders and future implementation of reminder systems can be further improved.

In this research we present a model for medication adherence from information systems and technologies (IS/IT) perspective. Information technology applications for healthcare have the potential to improve cost-effectiveness, quality and accessibility of healthcare. To date, measurement of patient medication adherence and use of interventions to improve adherence are rare in routine clinical practice. IS/IT perspective helps in leveraging the technology advancements to develop a health IT system for effectively measuring medication adherence and administering interventions. Majority of medication adherence studies have focused on average medication adherence. Average medication adherence is the ratio of the number of doses consumed and the number of doses prescribed. It does not matter in which order or pattern patients consume the dose. Patients with enormously diverse dosing behavior can achieve the same average levels of medication adher­ence. The same outcomes with different levels of ad­herence raise the possibility that patterns of adherence affect the effectiveness of medication adherence. We propose that medication adherence research should utilize effective medication adherence (EMA), derived by including both the pattern and average medication adherence for a patient. Using design science research (DSR) approach we have developed a model as an artifact for smart interventions. We have leveraged behavior change techniques (BCTs) based on the behavior change theories to design smart intervention. Because of the need for real time requirements for the system, we are also focusing on hierarchical control system theory and reference model architecture (RMA). The benefit of using this design is to enable an intervention to be administered dynamically on a need basis. A key distinction from existing systems is that the developed model leverages probabilistic measure instead of static schedule. We have evaluated and validated the model using formal proofs and by domain experts. The research adds to the IS knowledge base by providing the theory based smart interventions leveraging BCTs and RMA for improving the medication adherence. It introduces EMA as a measurement of medication adherence to healthcare systems. Smart interventions based on EMA will further lead to reducing the healthcare cost by improving prescription outcomes.

Indiana University-Purdue University Indianapolis (IUPUI)
Medication nonadherence among middle-aged to older adults with chronic conditions often stems from forgetting to take or fill medications as prescribed. A pilot study indicated the feasibility of technology acceptance model (TAM)-based smartphone medication reminder app (SMRA) training as a way to promote their app use and medication adherence. This dissertation assesses the viability and effect size of the modified TAM-based SMRA training in promoting app use and medication adherence, as well as its delivery design in preparation for a larger efficacy study. A two-group pretest-posttest design was employed. Twenty-nine adults aged over 40 years and taking medications for chronic condition management were recruited from Midwestern university and community sites. The training group (n = 15) received the modified TAM-based SMRA training; whereas the non-training group (n = 14) self-navigated app features. The training group reported significantly higher levels of perceived usefulness, perceived ease of use, positive subjective norm, and intention to use the app. In addition, the training group reported a higher proportion of active app use than the non-training group. Modified TAM-based SMRA training was not viable in increasing the levels of medication adherence variables. Effect sizes suggested at least 52 participants as a sample size for a larger efficacy study. Participants suggested that training could be improved by scheduling separate group training for iPhone and Android phone users, providing a live online training option, providing small group training with peer helper, tailoring training length to participant preference, and working with family members and healthcare providers as co-trainees and co-trainers.

碩士
南開科技大學
福祉科技與服務管理所
103
Older adults lose physical function with age and are often affected by chronic diseases. Studies have indicated that most patients with chronic diseases have poor drug compliance mainly because they forget to take their medication. Therefore, digital reminder devices have been developed, in an effort to produce a product that fulfills the needs of older adults and conforms to the usage characteristics of older adults. This study evaluated the service and functions of a medication reminder application （app） and provided suggestions for modifications and future updates. The framework of service contextual inquiry from the service experience engineering method was employed to conduct observations, interviews, tests, and data analyses regarding the behavior of older adults in using medication reminder apps. Five consolidated models were summarized using the framework of service contextual inquiry. Items identified for improvements are as follows: （1） add customized alarm functions; （2） Hoping that the picture of the drug is an effective reminder to increase the patients' accuracy in using the medication; （3） resolve the alarm function being disabled after the device is shutdown; and （4） make the medication reminder app more identifiable in the Google Play store. This study subsequently explored the experiences of users and examined the app functions and services to identify new service opportunities for app developers. Keywords: Service experience engineering, Medication reminder, Software application.