Medication adherence using self-report measures among chronic disease patients: A review

2019 ◽  
Vol 34 (6) ◽  
pp. 556-568
Author(s):  
Susan J Shaw ◽  
Josephine D Korchmaros ◽  
Cristina Huebner Torres ◽  
Molly S Totman ◽  
Jeannie K Lee

Abstract This study aims to contribute to the development of community-responsive research approaches by describing the research methods used in the RxHL study and the interprofessional and community-based collaboration that produced them. The mixed-method RxHL study was developed in close consultation with staff and providers at our research site, a federally qualified health center in Springfield, MA. We utilized quantitative methods including chart review, manual pill counts and self-report surveys to assess factors associated with medication adherence in a diverse population of low-income patients with chronic disease. We triangulated these results with findings from qualitative methods that included in-depth interviews, home visits and chronic disease diaries. We used the constant comparison method and interdisciplinary, participatory team meetings to integrate quantitative and qualitative findings. A community-responsive approach facilitated the recruitment and retention of a diverse sample of patients. Self-report surveys revealed the widespread scope of barriers to care such as medication costs and transportation, and limited health literacy among diverse groups. Qualitative research methods offered a deeper understanding of the social and environmental contexts in which medication adherence takes place. Prioritizing the needs of community partners and research participants facilitates rigorous data collection in clinical settings with maximum participation from community partners.


2017 ◽  
Vol 6 (1) ◽  
pp. 63 ◽  
Author(s):  
AhmadAli Eslami ◽  
SeydeShahrbanoo Daniali ◽  
FiroozeMostafavi Darani ◽  
Mohammad Mazaheri

2021 ◽  
Vol 10 (36) ◽  
pp. 3171-3177
Author(s):  
Juhi Singh ◽  
Md Shamshir Alam ◽  
Anuj Malik ◽  
Shubham Singh Tyagi ◽  
Mohd Tousib ◽  
...  

Adherence has been defined as the “voluntary, active, and collaborative involvement of the patients in mutually acceptable courses of behaviour to produce desired therapeutic effects”. Medication adherence generally illustrates the term as to whether the patients take their medicines as per prescription instruction and either they keep on to take a prescribed medication. Medication adherence performance has thus been classified into two head conceptions, namely, adherence and persistence. Whilst theoretically similar, adherence refers to concentration of drug utilization for the duration of the ongoing treatment, whereas persistence refers to the general interval of drug therapy. Improving prescription adherence may impact the well-being of the populace than the revelation of any new treatment. Indian patients are not adherent to their medication half the time, mainly due to lack of proper education and patient counselling. Albeit most doctors do not accept adherence basically because of the absence of access or neglect, and no adherence can frequently be a purposeful decision made by the Indian patients. Persistent covering of their medicine taking conduct is regularly persuaded by feelings with respect to both supplier and the patient, prompting possible desperate outcomes. On time medicine taking behaviour of the patients have great impact on the health of people than the need for new treatment option. KEY WORDS Medication Adherence, Drug Therapy, Prescription, Wellbeing, Compliance, Chronic Disease


2016 ◽  
Vol 150 (4) ◽  
pp. S556
Author(s):  
Mirjam Severs ◽  
Marie-Josée J. Mangen ◽  
Herma H. Fidder ◽  
Mirthe E. Van Der Valk ◽  
Mike Van Der Have ◽  
...  

2016 ◽  
Vol 25 (8) ◽  
pp. 898-907 ◽  
Author(s):  
Melissa L. Santorelli ◽  
Michael B. Steinberg ◽  
Kim M. Hirshfield ◽  
George G. Rhoads ◽  
Elisa V. Bandera ◽  
...  

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Alfian Alfian ◽  
Kusman Ibrahim ◽  
Imas Rafiyah

Medication adherence is behavior that refers to client obeys in following a medication, and makes lifestyle changes in accordance of recommendations from health care providers. Antiretroviral adherence is paramount for HIV/AIDS patients. The effects were often a problem in antiretroviral treatment and toxicity and often be the reason for replacing or stopping antiretroviral treatment. This study aimed to determine the “E-Patuh” Applications effect on antiretroviral adherence in patients Of HIV/AIDS In West Java. The research design was a quasi-experimental with nonequivalent control group design. The location of this research was in RSUD Kota Bandung and in RSUD Kota Banjar. The respondents was selected without randomization and used purposive sampling technique. Respondents in this study were 30 respondents. Data were obtained using self-report questionnaires. The intervention group was monitored a 30-day android-based E-Patuh application and monitored on an E-Patuh website and then measured adherence value with self-report. Data were analyzed using SPSS 22 with chi-square test. The results showed a significant difference between adherence value before and after application of E-Patuh in the intervention group with (p <0.05) with obtained p value = 0,006. The results of this study prove a positive effect on the using of E-Patuh applications against ARV medication adherence in the intervention group with the support system of the E-Patuh application. The used of E-Patuh is helpful in improving ARV adherence in HIV/AIDS patients. The features contained in E-Patuh were directly reminiscent of the timing of taking medication for PWLH. E-Patuh should be consideration for PLHIV and health care providers in hospitals to improve ARV adherence to reduce mortality rates in people living with HIV.


Author(s):  
Shaun Purkiss ◽  
Tessa Keegel ◽  
Hassan Vally ◽  
Dennis Wollersheim

Background Pharmaceutical data can be used to identify the presence of drug-treated chronic diseases (CD) in individuals using assigned World Health Organization Anatomic Therapeutic Chemical (ATC) classifications of medicines prescribed. ATC codes define treatment domains and provides a method to case define CD that has previously been used to estimate CD prevalence within populations. Main Aim We determined selected CD incidence from an administrative pharmaceutical dataset, and compared them with published CD incidence results. Approach An Australian Pharmaceutical Benefits Scheme (PBS) database covering the period 2003-14 was used for this study. The earliest prescriptions exchanged by individuals for an ATC defined CD were identified and the annual count recorded. These values were combined with Australian population census data to calculate the annual incidence of ATC defined CD. Australian PBS derived incidence estimates (PDI) were compared with published Australian and world incidence data. Results The PDI of 16 chronic diseases were compared with incidence estimates using self-report surveys from the literature. Mean percentage differences between PDI estimates varied greatly when compared to survey data (mean 33% (SD ±79%). Diabetes (-29%), gout (4%), glaucoma (69%) and tuberculosis (14%) showed closer associations. In contrast, PDI estimates (n/1000/year) showed particularly high incidence levels as compared with self-report data for dyspepsia (16.9 v 4.5), dyslipidaemia (11.6 v 5.6) and respiratory illness (17.6 v 2.6). Conclusion Incidence estimates of drug treated chronic disease can be obtained using pharmaceutical data and may be a useful source for a number of conditions. Some PDI differ considerably from survey data. The interpretation of PDI requires context on how a particular CD presents. Accuracy and relevance are likely to depend upon how drug treatments relate to the initial management of the chronic disease.


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