Dataset Information

Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study.

ABSTRACT:

Objectives

To cluster the adherence behaviours of patients with type 2 diabetes based on their beliefs in medicines and illness perceptions and examine the psychosocial, clinical and sociodemographic characteristics of patient clusters.

Design

Cross-sectional study.

Setting

A face-to-face survey was administered to patients at two family medicine clinics in the Midwest, USA.

Participants

One hundred and seventy-four ?20-year-old, English-speaking adult patients with type 2 diabetes who were prescribed at least one oral diabetes medicine daily were recruited using convenience sampling.

Primary and secondary outcome measures

Beliefs in medicines and illness perceptions were assessed using the Beliefs about Medicines Questionnaire and the Brief Illness Perception Questionnaire, respectively. Self-reported medication adherence was assessed using the Morisky Medication Adherence Scale. Psychosocial correlates of adherence, health literacy and self-efficacy were measured using the Newest Vital Sign and the Self-efficacy for Appropriate Medication Use, respectively. Two-step cluster analysis was used to classify patients.

Results

Participants' mean age was 58.74 (SD=12.84). The majority were women (57.5%). Four clusters were formed (non-adherent clusters: ambivalent and sceptical; adherent clusters: indifferent and accepting). The ambivalent cluster (n=30, 17.2%) included low-adherent patients with high necessity beliefs, high concern beliefs and high illness perceptions. The sceptical cluster (n=53, 30.5%) included low adherent patients with low necessity beliefs but high concern beliefs and high illness perceptions. Both the accepting (n=40, 23.0%) and indifferent (n=51, 29.3%) clusters were composed of patients with high adherence. Significant differences between the ambivalent, sceptical, accepting and indifferent adherent clusters were based on self-efficacy, illness perception domains (treatment control and coherence) and haemoglobin A1c (p<0.01).

Conclusions

Patients with diabetes in specific non-adherent and adherent clusters still have distinct beliefs as well as psychosocial characteristics that may help providers target tailored medication adherence interventions.

SUBMITTER: Shiyanbola OO

PROVIDER: S-EPMC6254403 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Publications

Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study.

Shiyanbola Olayinka O OO Unni Elizabeth E Huang Yen-Ming YM Lanier Cameron C

BMJ open 20181125 11

<h4>Objectives</h4>To cluster the adherence behaviours of patients with type 2 diabetes based on their beliefs in medicines and illness perceptions and examine the psychosocial, clinical and sociodemographic characteristics of patient clusters.<h4>Design</h4>Cross-sectional study.<h4>Setting</h4>A face-to-face survey was administered to patients at two family medicine clinics in the Midwest, USA.<h4>Participants</h4>One hundred and seventy-four ≥20-year-old, English-speaking adult patients with ...[more]

PMID: 30478112

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Project description:IntroductionThe exact pathway linking health literacy, self-efficacy, medication adherence, and glycemic control for type 2 diabetes remains unclear. Understanding the relationship between patient factors, medication adherence, and lower glycated hemoglobin (HbA1c) may help patients better manage their disease. This study examined the association of health literacy and medication self-efficacy with self-reported diabetes medication adherence, and the association of health literacy, medication self-efficacy, and self-reported diabetes medication adherence with HbA1c of patients with type 2 diabetes.MethodsThis cross-sectional study utilized a face-to-face questionnaire at two family medicine clinics in a Midwestern state among 174 patients; subjects enrolled were at least 20 years old with diagnosed type 2 diabetes, prescribed at least one oral diabetes medicine, and understood English. Questionnaires were administered to assess the participants': health literacy, using the Newest Vital Sign six-item questionnaire (NVS); self-efficacy for medication use, using the 13-item Self-Efficacy for Appropriate Medication Use Scale; and self-report medication adherence, using the eight-item Morisky Medication Adherence Scale. HbA1c values were obtained from participants' electronic medical records. Multiple linear regressions were used to explore the association of health literacy and medication self-efficacy with both medication adherence and HbA1c level after controlling for all other covariates.ResultsSelf-reported health status (β = 0.17, p = 0.015) and medication self-efficacy (β = 0.53, p < 0.001) were positively associated with diabetes medication adherence. Health literacy was neither associated with diabetes medication adherence (β = -0.04, p = 0.586) nor HbA1c (β = -0.06, p = 0.542). Lower diabetes medication adherence (β = -0.26, p = 0.008) and higher number of prescribed medications (β = 0.28, p = 0.009) were correlated with higher HbA1c.ConclusionHealth literacy, as measured by the NVS, does not correlate with medication adherence or glycemic control among patients with type 2 diabetes. Interventions to improve patients' self-efficacy of medication use may improve diabetes medication adherence.

Project description:PurposeTo evaluate the frequency of 11 commonly cited barriers to optimal glaucoma medication adherence among glaucoma patients and to identify barriers contributing to poor adherence.DesignProspective, cross-sectional survey.ParticipantsOne hundred ninety adults with glaucoma taking 1 or more glaucoma medication who received care in glaucoma clinics in Ann Arbor, Michigan, and Baltimore, Maryland.MethodsParticipants completed a survey on demographic and disease characteristics, barriers to optimal glaucoma medication adherence, interest in an eye drop aid, and self-reported adherence (measured by the Morisky Adherence Scale). Descriptive statistics and logistic regression analyses were performed.Main outcome measuresFrequency and number of barriers to adherence among both adherent and nonadherent patients. Odds ratios (ORs) with 95% confidence intervals (CIs) identifying barriers associated with poor adherence.ResultsTwenty-seven percent of the sample reported poor adherence. Sixty-one percent of all participants cited multiple barriers and 10% cited a single barrier as impediments to optimal adherence. Twenty-nine percent of subjects cited no barriers, although only 13% of patients who cited no barriers were nonadherent. Among nonadherent patients, 31% or more cited each of the 11 barriers as important. Logistic regression analysis, adjusted for age, revealed that the following barriers were associated with higher odds of nonadherence: decreased self-efficacy (OR, 4.7; 95% CI, 2.2-9.7; P ≤ 0.0001), difficulty instilling drops (OR, 2.3; 95% CI, 1.1-4.9; P = 0.03), forgetfulness (OR, 5.6; 95% CI, 2.6-12.1; P ≤ 0.0001), and difficulties with the medication schedule (OR, 2.9; 95% CI, 1.4-6.0; P = 0.006). For each additional barrier cited as important, there was a 10% increased odds of being nonadherent (OR, 1.1; 95% CI, 1.0-1.2; P = 0.01).ConclusionsEach of the 11 barriers was important to at least 30% of surveyed patients with poor adherence, with most identifying multiple barriers to adherence. Low self-efficacy, forgetfulness, and difficulty with drop administration and the medication schedule were barriers associated with poor adherence. Interventions to improve medication adherence must address each patient's unique set of barriers.

Project description:ObjectivesPoor medication adherence in low-income and middle-income countries is a major cause of suboptimal hypertension and diabetes control. We aimed to identify key factors associated with medication adherence in western Kenya, with a focus on cost-related and economic wealth factors.SettingWe conducted a cross-sectional analysis of baseline data of participants enrolled in the Bridging Income Generation with Group Integrated Care study in western Kenya.ParticipantsAll participants were ≥35 years old with either diabetes or hypertension who had been prescribed medications in the past 3 months.Primary and secondary outcome measuresBaseline data included sociodemographic characteristics, wealth and economic status and medication adherence information. Predictors of medication adherence were separated into the five WHO dimensions of medication adherence: condition-related factors (comorbidities), patient-related factors (psychological factors, alcohol use), therapy-related factors (number of prescription medications), economic-related factors (monthly income, cost of transportation, monthly cost of medications) and health system-related factors (health insurance, time to travel to the health facility). A multivariable analysis, controlling for age and sex, was conducted to determine drivers of suboptimal medication adherence in each overarching category.ResultsThe analysis included 1496 participants (73.7% women) with a mean age of 60 years (range 35-97). The majority of participants had hypertension (69.2%), 8.8% had diabetes and 22.1% had both hypertension and diabetes. Suboptimal medication adherence was reported by 71.2% of participants. Economic factors were associated with medication adherence. In multivariable analysis that investigated specific subtypes of costs, transportation costs were found to be associated with worse medication adherence. In contrast, we found no evidence of association between monthly medication costs and medication adherence.ConclusionSuboptimal medication adherence is highly prevalent in Kenya, and primary-associated factors include costs, particularly indirect costs of transportation. Addressing all economic factors associated with medication adherence will be important to improve outcomes for non-communicable diseases.Trial registration numberNCT02501746.

Project description:BACKGROUND:In Cambodia, the age-standardized prevalence of diabetes mellitus has increased in both men and women. The main objective of this study was to identify factors associated with diabetes medication adherence among people with diabetes mellitus in poor urban areas of Phnom Penh, Cambodia. METHODS:A cross-sectional study was conducted in 2017 using a structured questionnaire for face-to-face interviews by trained interviewers. The participants were people with diabetes mellitus who were the active members of a peer educator network, lived in poor urban areas of Phnom Penh, and attended weekly educational sessions during the survey period. Diabetes medication adherence was measured using four items of modified Morisky Medication Adherence Scale. Participants were classified into two groups based on their adherence score: 0 (high adherence) and from 1 to 4 (medium or low adherence). Sociodemographic characteristics; medical history; accessibility to health services; and knowledge, attitude, and practices related to diabetes mellitus were examined. A multiple logistic regression analysis was conducted adjusting for sex, age, marital status, and education levels. RESULTS:Data from 773 people with diabetes were included in the analyses. Of the total, 49.3% had a high level of diabetes medication adherence. A high level of adherence was associated with higher family income (?50 USD per month) (adjusted odds ratio [AOR] = 5.00, 95% confidence interval [CI] = 2.25-11.08), absence of diabetes mellitus-related complications (AOR = 1.66, 95% CI = 1.19-2.32), use of health services more than once per month (AOR = 2.87, 95% CI = 1.64-5.04), following special diet for diabetes mellitus (AOR = 1.81, 95% CI = 1.17-2.81), and absence of alcohol consumption (AOR = 13.67, 95% CI = 2.86-65.34). CONCLUSIONS:High diabetes medication adherence was associated with better family economic conditions, absence of diabetes mellitus-related complications, and healthy behaviors. It would be crucial to improve affordable access to regular follow-ups including promotion of healthy behaviors through health education and control of diabetes mellitus-related complications.

Project description:ObjectivesSelf-medication is increasingly popular among people in developing nations like Nepal where the expense of healthcare is relatively high and over-the-counter) medications are widely and easily accessible. Although this method has certain advantages, it is also clear that it has some drawbacks, including the potential for adverse drug reactions, drug resistance, medication interactions, and increased morbidity and mortality. This study aimed to evaluate the use of self-medication in nine wards of Kathmandu Metropolitan City (ward no. 4, 5, 13, 15, 16, 17, 23, 31, and 32).MethodsThis cross-sectional descriptive survey was conducted in the chosen wards of Kathmandu Metropolitan city for 3 months from August to October 2021. A semi-structured questionnaire was used to collect data from 372 patients who were seeking self-medication. The participants were chosen randomly.ResultsSelf-medication was common among people (78%). The most frequent ailments for which participants self-medicated were the common cold (17.1%), headache (14.7%), fever (14.5%), and cough (7.6%). Anticold medications (18.2%), non-steroidal anti-inflammatory drugs (17.4%), antipyretics (15.2%), and analgesics (9.1%) were the most popular drug classes used in self-medication. The two most frequent justifications for self-medication were the absence of any major ailment (35%) and self-experience (22.7%). When symptoms started, the majority of patients started taking medication for themselves, and 47.7% of them got their prescriptions directly from the pharmacist by explaining their symptoms. When the symptoms were not relieved by the medication used for self-medication, it was found that the majority of participants (79.7%) stopped using the medication and visit the doctor.ConclusionThe prevalence of self-medication in Kathmandu city was ascertained by assessing the practice among residents of the Kathmandu Metropolitan city. The study showed self-medication is common among people and therefore, proper education about drug use and self-medication is needed.

Dataset Information

Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study.

Objectives

Design

Setting

Participants

Primary and secondary outcome measures

Results

Conclusions

Publications

Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study.

Similar Datasets

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