Diabetes Medication Adherence Research Articles

Self-care practice and associated factors among patients with diabetes on follow-up at Yirgalem General Hospital, Sidama, Ethiopia: a cross-sectional study

BackgroundSelf-care practice is an integral and efficient part of comprehensive diabetes management, which could be influenced by various socio-demographic, clinical, and lifestyle factors.ObjectiveThe study aimed to assess the level of diabetes self-care practice and its associated factors among patients with diabetes on follow-up at Yirgalem General Hospital, Yirgalem, Sidama, Ethiopia.MethodologyAn Institution-based cross-sectional study was conducted from February 15 to May 10, 2022, involving 298 patients with diabetes on follow-up at Yirgalem General Hospital. A pre-tested interviewer-administered questionnaire was utilized to collect data from patients. A descriptive analysis was conducted to determine the level of good self-care practice. Bivariate and multivariable binary logistics regression were performed to determine factors associated with good diabetic self-care practice. Associations with a p-value < 0.05 were considered statistically significant.ResultThe overall good diabetic self-care practice among patients was 59.4%. Regarding the specific domains of care, 15 (5%) participants had good self-glucose monitoring care, 228 (76.5%) had good exercise self-care, 268 (89.9%) had good dietary self-care, 228 (76.5%) had good foot self-care, and 260 (87.2%) had good diabetic medication adherence. Single marital status (AOR = 5.7, 95% CI: (1.418, 22.915), urban residence (AOR = 2.992, 95% CI: (1.251, 7.153)), and having a glucometer (AOR = 2.273, 95% CI: (1.083, 4.772)) were factors that were significantly associated with good diabetic self-care practice.ConclusionGood diabetic self-care practices among participants was low. Marital status, place of residence, and having a glucometer were statistically significant predictors of good diabetic self-care practices. Targeted intervention addressing those patients from rural areas to increase awareness and practice of self-care, as well as the promotion of having a glucometer at home for self-glucose monitoring is recommended.

Medication adherence star ratings measures, health care resource utilization, and cost.

To examine the association between missed CMS Star Ratings quality measures for medication adherence over 3 years for diabetes, hypertension, and hyperlipidemia medications (9 measures) and health care utilization and relative costs. Retrospective cohort study. The study examined eligible patients who qualified for the diabetes, statin, and renin-angiotensin system antagonist medication adherence measures in 2018, 2019, and 2020 and were continuously enrolled in a Medicare Advantage prescription drug plan from 2017 through 2021. Atotal of 103,900 patients were divided into 4 groups based on the number of adherence measures missed (3 medication classes over 3 years): (1) missed 0 measures, (2) missed 1measure, (3) missed 2 or 3 measures, and (4) missed 4 or more measures. To achieve a quality measure, patients had to meet the Pharmacy Quality Alliance 80% threshold of proportion of days covered during the calendar year. The mean age of the cohort was 71.1 years, and 49.9% were female. Compared with patients who missed 0 of 9 adherence measures, those who missed 1 measure, 2 or 3 measures, and 4 or more measures experienced 12% to 26%, 22% to 42%, and 24% to 50% increased risks, respectively, of all-cause and diabetes-related inpatient stays and all-cause and diabetes-related emergency department visits (all P values < .01). Additionally, patients who missed 1, 2 or 3, and 4 or more adherence measures experienced 14%, 19%, and 20% higher monthly medical costs, respectively. Missing Star Ratings quality measures for medication adherence was associated with an increased likelihood of health care resource utilization and increased costs for patients taking medications to treat diabetes, hypertension, and hyperlipidemia.

Development and implementation of ambulatory care pharmacy services at an internal medicine clinic.

In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time. This report describes the step-by-step process that led to expansion of ambulatory care pharmacy services at a newly established internal medicine clinic within a patient-centered medical home in North Carolina. Implementation of clinical pharmacist services at the clinic was led by a postgraduate year 2 (PGY2) pharmacy resident and guided by the 9 steps described in the book Building a Successful Ambulatory Care Practice: A Complete Guide for Pharmacists. After a needs assessment and review of the demographics and insurance status of the clinic's target population, it was determined that pharmacist services would focus on quality measures including diabetes nephropathy screening, diabetes eye examination, blood glucose control in diabetes, discharge medication reconciliation, annual wellness visits, and medication adherence in diabetes, hypercholesterolemia, and hypertension. Clinic appointments were conducted under 3 models: a pharmacist-physician covisit model, a "floor model" of pharmacist consultation on drug information or medication management issues during medical resident sign-out sessions with supervising physicians (medical residents could also see patients along with the pharmacist at a covisit appointment), and a covisit model of stacked physician and pharmacist appointments. The pharmacist's services were expanded from 2 half-day clinic sessions per week initially to 5 or 6 half-day clinic sessions by the end of the residency year. By the fourth quarter of the first PGY2 residency year in which ambulatory care pharmacy services were provided in the clinic, the clinical and financial impact of those services justified the addition of a second full-time pharmacist to the clinic team.

Combining zip code-based population data and pharmacy administrative claims data to create measures of social determinants of health.

Social determinants of health (SDoH) are key factors that impact health outcomes. However, there are many barriers to collecting SDoH data (eg, cost of data collection, technological barriers, and lack of standardized measures). Population data may provide an accessible alternative to collecting SDoH data for patients. To explain how population data can be leveraged to create SDoH measures, assess the association of population SDoH measures with diabetic medication adherence, and discuss how understanding a patient's SDoH can inform care plans and patient engagement. A nationally representative commercial sample of patients who were aged 18 years and older and met Pharmacy Quality Alliance inclusion criteria for diabetes mellitus were analyzed (N = 37,789). US Census and North American Industry Classification System data were combined with pharmacy administrative claims data to create SDoH measures. Derived measures represent 2 SDoH domains: (1) economic stability (housing density, housing relocation, jobs per resident, and average salary) and (2) health care access and quality (urban/rural classification, distance traveled to prescriber and pharmacy, use of a primary care provider [PCP], and residents per PCP). The association of population SDoH measures with diabetic medication adherence (proportion of days covered) was assessed via logistic regression, which included covariates (eg, sex, age, comorbidities, and prescription plan attributes). As housing density (houses per resident) increased, so did the likelihood of adherence (odds ratio = 1.54, 95% CI = 1.21-1.97, P = 0.001). Relative to patients who did not move, patients who moved once had 0.87 (95% CI = 0.81-0.93, P < 0.001) the odds of being adherent, and patients who moved 2 or more times had 0.82 (95% CI = 0.71-0.95, P = 0.008) the odds of being adherent. Compared with areas with fewer jobs per resident, patients living within a zip code with 0.16 to 0.26 jobs per resident were 1.12 (95% CI = 1.04-1.20, P = 0.002) times more likely to be adherent. Patients who lived in an urban cluster were 1.11 (95% CI = 1.01-1.22, P = 0.037) times more likely to be adherent than patients living in a rural area. Patients who travel at least 25 miles to their prescriber had 0.82 (95% CI = 0.77-0.86, P < 0.001) the odds of being adherent. Community pharmacy users had 0.65 (95% CI = 0.59-0.71, P < 0.001) the odds of being adherent compared with mail order pharmacy users. Patients who had a PCP were 1.26 (95% CI = 1.18-1.34, P < 0.001) times more likely to be adherent to their medication. Leveraging publicly available population data to create SDoH measures is an accessible option to overcome barriers to SDoH data collection. Derived measures can be used to increase equity in care received by identifying patients who could benefit from assistance with medication adherence.

Medication adherence in patients with type 2 diabetes after disability onset: a difference-in-differences analysis using nationwide data

BackgroundEffectively managing the coexistence of both diabetes and disability necessitates substantial effort. Whether disability onset affects adherence to type 2 diabetes medication remains unclear. This study investigated whether disability onset reduces such adherence and whether any reduction varies by disability type.MethodsThis study used the National Disability Registry and National Health Insurance Research Database from Taiwan to identify patients with type 2 diabetes who subsequently developed a disability from 2013 to 2020; these patients were matched with patients with type 2 diabetes without disability onset during the study period. Type 2 diabetes medication adherence was measured using the medication possession ratio (MPR). A difference-in-differences analysis was performed to determine the effect of disability onset on the MPR.ResultsThe difference-in-differences analysis revealed that disability onset caused a reduction of 5.76% in the 1-year MPR (P < 0.001) and 13.21% in the 2-year MPR (P < 0.001). Among all disability types, organ disabilities, multiple disabilities, rare diseases, and a persistent vegetative state exhibited the largest reductions in 2-year MPR.ConclusionsPolicies aimed at improving medication adherence in individuals with disabilities should consider not only the specific disability type but also the distinct challenges and barriers these patients encounter in maintaining medication adherence.

Pilot trial results of D-HOMES: a behavioral-activation based intervention for diabetes medication adherence and psychological wellness among people who have been homeless.

People living with type 2 diabetes who experience homelessness face a myriad of barriers to engaging in diabetes self-care behaviors that lead to premature complications and death. This is exacerbated by high rates of comorbid mental illness, substance use disorder, and other physical health problems. Despite strong evidence to support lay health coach and behavioral activation, little research has effectively engaged people living with type 2 diabetes who had experienced homelessness (DH). We used community engaged research and incremental behavioral treatment development to design the Diabetes HOmeless MEdication Support (D-HOMES) program, a one-on-one, 3 month, coaching intervention to improve medication adherence and psychological wellness for DH. We present results of our pilot randomized trial (with baseline, 3 mo., 6 mo. assessments) comparing D-HOMES to enhanced usual care (EUC; brief diabetes education session and routine care; NCT05258630). Participants were English-speaking adults with type 2 diabetes, current/recent (<24 mo.) homelessness, and an HbA1c‗7.5%. We focused on feasibility (recruitment, retention, engagement) and acceptability (Client Satisfaction Questionnaire, CSQ-8). Our primary clinical outcome was glycemic control (HbA1c) and primary behavioral outcome was medication adherence. Secondary outcomes included psychological wellness and diabetes self-care. Thirty-six eligible participants enrolled, 18 in each arm. Most participants identified as Black males, had high rates of co-morbidities, and lived in subsidized housing. We retained 100% of participants at 3-months, and 94% at 6-months. Participants reported high satisfaction (mean CSQ-8 scores=28.64 [SD 3.94] of 32). HbA1c reduced to clinically significant levels in both groups, but we found no between group differences. Mean blood pressure improved more in D-HOMES than EUC between baseline and 6 mo. with between group mean differences of systolic -19.5 mmHg (p=0.030) and diastolic blood pressure -11.1 mmHg (p=0.049). We found no significant between group differences in other secondary outcomes. We effectively recruited and retained DH over 6 months. Data support that the D-HOMES intervention was acceptable and feasible. We observe preliminary blood pressure improvement favoring D-HOMES that were statistically and clinically significant. D-HOMES warrants testing in a fully powered trial which could inform future high quality behavioral trials to promote health equity. https://clinicaltrials.gov/study/NCT05258630?term=D-HOMES&rank=1, identifier NCT05258630.

Effectiveness of a pharmacist-led, community group-based education programme in enhancing diabetes management: A multicentre randomised control trial

AimsThis study presents a protocol for the Pharmacy Integrated Community Care (PICC) program, meticulously designed to enhance Hemoglobin A1c (HbA1c) levels and augment knowledge about diabetes mellitus (DM) among individuals diagnosed with Type 2 Diabetes Mellitus (T2DM) in the Sarawak State of Malaysia. MethodsFrom 1 May to December 31, 2023, a prospective, multicenter, parallel-design randomised controlled trial will be conducted with two groups, each consisting of 47 participants. The intervention group will receive a structured, four-session group-based program guided by experienced pharmacists, focusing on medication adherence and diabetes management. The control group will follow the standard Diabetes Mellitus Adherence Clinic program. The primary outcomes of this study encompass enhancements in knowledge regarding diabetes medication management and adherence, followed by subsequent changes in HbA1c levels. ConclusionsThe successful implementation of the PICC program holds promise for enhancing health outcomes in the T2DM population, potentially leading to more effective diabetes management initiatives and better health practices in the community. Trial registration clinicaltrials.gov identifierNCT05106231.

Diabetes Mellitus—Digital Solutions to Improve Medication Adherence: Scoping Review

Medication adherence (MA) is a major problem. On average 50% of chronic disease management medications are not taken as prescribed While digital healthcare tools like mobile apps offer benefits such as informative messages and prescription management, they must be personalized and offer support across all medication phases to effectively address individual patient factors and optimize adherence, with room for further improvements. This scoping review examined the impact of digital health technologies on MA in adults with diabetes as well as their benefits and barriers. Using PubMed and Scopus databases, 11 out of 385 studies (2.86%) from January 2017 to August 2023 met the criteria for digital health interventions in diabetes MA, assessed through the Chronic Care Model. The Chronic Care Model (CCM) is a patient-centered, evidence-based framework designed to improve the care and outcomes for chronic illness patients, consisting of six core elements and enhanced by eHealth tools that facilitate self-management and support through digital innovations. The results demonstrate the effectiveness of digital health technology in improving medication adherence among adults with diabetes. Specific digital interventions, including mobile apps like Gather and Medisafe, SMS text messaging, telemonitoring, and tailored care management have demonstrated effectiveness in enhancing MA. These interventions have shown positive outcomes, including enhanced glycemic control and increased patient engagement. Some of the limitations, which these technologies face, are the poor usability, digital illiteracy among the patients, low rates of sustainability and low accessibility among the elderly population. Digital health technology shows promise in enhancing medication adherence among adults with diabetes, as revealed in this scoping review. However, ongoing research is necessary to fine-tune these interventions for improved outcomes and the overall well-being of individuals with diabetes. Additional improvement of the technologies and adaptation to the diverse population might be a good field for exploration.

SAT135 Prospective Analysis For Improvement For Glycemic Control Using A Patient Portal And Automated Messages

Abstract Disclosure: C.C. Cristancho: None. M. Brandao: None. A. Lema Morocho: None. T. Amorim: None. Background: Type II diabetes is a complex metabolic disorder which is influenced in part by patient dietary choices, medication adherence, and environmental factors. Behavioral health interventions offer an opportunity to potentially affect patient outcomes in a cost-effective manner. Purpose: To study whether automated clinical messaging via the electronic medical chart would be associated with improvement in diabetes-related health measures. Methods: We created an automated clinical messaging system (January 2020) via our electronic medical record. Patients who opted-in for this service received bi-weekly messages which included reminders about diabetes medication adherence as well as exercise and dietary recommendations. We then performed a retrospective longitudinal analysis of patients followed in our diabetes clinic, comparing those who opted-in for messing vs those who did not, and assessed diabetes-related biomarkers including baseline and follow-up hemoglobin A1c, lipid markers, and BMI using linear mixed-effects regression models. Results: 69 patients who had at least 2 measures of hemoglobin A1c were followed longitudinally, of whom 37 (54%) had opted to receive automated messaging. Patients who opted-in were younger (53±12 vs 62±11 years old, p&amp;lt;0.1), but not different in terms of sex (60% F vs 61% F), BMI (31±6 vs 30±7, p=0.84), or A1c (9.4±2.3 vs 8.8±2.7, p=0.34). In the group that received messages, we did not find any significant pre-post differences in A1c, LDL, or BMI over time. In the opt-in group, mean change (over average follow-up of 256 days) in HgbA1c was -0.4 (p=0.42) compared to a change of 0.0 in the non-opt-in group (p=0.99). Discussion: Patients who opted-in to electronic messaging were younger on average. We did not observe any significant longitudinal change in diabetes-related biomarkers within or between groups as related to an automated clinical messaging service, although there was a directional trend toward improvement. Given the cost-effectiveness and ease of this program, consideration should be given toward a trial with a larger sample size and longer follow-up. Presentation: Saturday, June 17, 2023

Factors Associated with Adherence to Oral Antidiabetic Drugs among Patients with type 2 Diabetes Mellitus attending Diabetic Clinic at Jinja Regional Referral Hospital Jinja District

Diabetes Mellitus (DM) is a metabolic illness that causes excessive blood sugar levels as a result of either impaired pancreatic insulin production, insulin resistance, or both. People with diabetes mellitus die prematurely, and DM is a global burden. Adherence to drug regimens is essential in the management of diabetes mellitus, in addition to lifestyle changes. However, patients with diabetes are more likely not to take their medications as prescribed, and poor medication compliance jeopardizes patient safety and treatment efficacy, increasing mortality and morbidity. This study aimed to determine oral diabetes medication adherence and its associated factors among type two diabetes patients (T2DM) at Jinja Regional Referral Hospital. An institutional-based cross-sectional study of 136 T2DM patients was undertaken at Jinja Regional Referral Hospital in Jinja district. A convenience sampling technique was used to recruit participants, and the research was carried out from April 2022 to October 2022. The Morisky Medication Adherence Scale was used to assess medication adherence. STATA version 15.1 was used to analyze the data. To discover independent determinants of T2DM adherence, logistic regressions were used. To declare statistical significance, a P-value of less than 0.05 was employed. This study enrolled 136 type 2 diabetes patients, with a response rate of 100%. Overall, 58.33% of T2DM patients showed good medication adherence. T2DM patients who took both oraland injectable anti-diabetic medications (AOR = 1.98, 95% CI: 1.16-3.39), received the prescribedanti-diabetic medication from the hospital (AOR = 0.51, 95% CI: 0.32-0.80), had their own glucometer at home (AOR = 0.30, 95% CI: 0.16-0.54), and had good diabetes-related knowledgewere found to be more adherent to oral antidiabetic medication. At Jinja Regional Referral Hospital, there is a low prevalence of oral anti-diabetic drug adherence among patients with T2DM. Significant independent predictors of anti-diabetic treatment adherence included the type of medication that T2DM patients were taking, the ability of patients to receive their prescriptions from the hospital, having a glucometer at home for glucose monitoring, and having sound knowledge of diabetes. Patients should therefore receive more education on the importance of medication adherence, and as well be encouraged to purchase personal glucometers. Keywords: Diabetes Mellitus, Blood sugar levels, Insulin, Medication adherence, Oral antidiabetic.

The development and initial feasibility testing of D-HOMES: a behavioral activation-based intervention for diabetes medication adherence and psychological wellness among people experiencing homelessness.

Compared to stably housed peers, people experiencing homelessness (PEH) have lower rates of ideal glycemic control, and experience premature morbidity and mortality. High rates of behavioral health comorbidities and trauma add to access barriers driving poor outcomes. Limited evidence guides behavioral approaches to support the needs of PEH with diabetes. Lay coaching models can improve care for low-resource populations with diabetes, yet we found no evidence of programs specifically tailored to the needs of PEH. We used a multistep, iterative process following the ORBIT model to develop the Diabetes Homeless Medication Support (D-HOMES) program, a new lifestyle intervention for PEH with type 2 diabetes. We built a community-engaged research team who participated in all of the following steps of treatment development: (1) initial treatment conceptualization drawing from evidence-based programs, (2) qualitative interviews with affected people and multi-disciplinary housing and healthcare providers, and (3) an open trial of D-HOMES to evaluate acceptability (Client Satisfaction Questionnaire, exit interview) and treatment engagement (completion rate of up to 10 offered coaching sessions). In step (1), the D-HOMES treatment manual drew from existing behavioral activation and lay health coach programs for diabetes as well as clinical resources from Health Care for the Homeless. Step (2) qualitative interviews (n = 26 patients, n = 21 providers) shaped counseling approaches, language and choices regarding interventionists, tools, and resources. PTSD symptoms were reported in 69% of patients. Step (3) trial participants (N = 10) overall found the program acceptable, however, we saw better program satisfaction and treatment engagement among more stably housed people. We developed adapted treatment materials for the target population and refined recruitment/retention strategies and trial procedures sensitive to prevalent discrimination and racism to better retain people of color and those with less stable housing. The research team has used these findings to inform an NIH-funded randomized control pilot trial. We found synergy between community-engaged research and the ORBIT model of behavioral treatment development to develop a new intervention designed for PEH with type 2 diabetes and address health equity gaps in people who have experienced trauma. We conclude that more work and different approaches are needed to address the needs of participants with the least stable housing.

Family Typology for Adults With Type 2 Diabetes: Longitudinal Stability and Validity for Diabetes Management and Well-Being.

We validated longitudinally a typology of diabetes-specific family functioning (named Collaborative and Helpful, Satisfied with Low Involvement, Want More Involvement, and Critically Involved) in adults with type 2 diabetes. We conducted k-means cluster analyses with nine dimensions to determine if the typology replicated in a diverse sample and if type assignment was robust to variations in sampling and included dimensions. In a subsample with repeated assessments over 9 months, we examined the stability and validity of the typology. We also applied a multinomial logistic regression approach to make the typology usable at the individual level, like a diagnostic tool. Participants (N = 717) were 51% male, more than one-third reported minority race or ethnicity, mean age was 57 years, and mean hemoglobin A1c (HbA1c) was 7.9% (63 mmol/mol; 8.7% [72 mmol/mol] for the longitudinal subsample). The typology was replicated with respect to the number of types and dimension patterns. Type assignment was robust to sampling variations (97% consistent across simulations). Type had an average 52% stability over time within participants; instability was not explained by measurement error. Over 9 months, type was independently associated with HbA1c, diabetes self-efficacy, diabetes medication adherence, diabetes distress, and depressive symptoms (all P < 0.05). The typology of diabetes-specific family functioning was replicated, and longitudinal analyses suggest type is more of a dynamic state than a stable trait. However, type varies with diabetes self-management and well-being over time as a consistent independent indicator of outcomes. The typology is ready to be applied to further precision medicine approaches to behavioral and psychosocial diabetes research and care.

Association of treatment satisfaction and physician trust with glycemic control among primary care patients with type 2 diabetes in Egypt.

To evaluate the association of diabetes treatment satisfaction and trust in family physicians with glycemic control among primary care patients with type 2 diabetes mellitus. A cross-sectional study on 319 patients with type 2 diabetes mellitus from five primary healthcare centers in Egypt. Data were collected from February to August 2021 using a structured questionnaire that contained six parts: sociodemographic data, disease profile, the Diabetes Treatment Satisfaction Questionnaire (DTSQ), 8-item Morisky Medication Adherence Scale (MMAS-8), self-reported medication knowledge questionnaire (MKQ), and revised healthcare relationship trust scale (HCR). Multiple linear regression analysis was used to assess predictors of treatment satisfaction, physician trust, and HbA1c level. P values less than 0.05 were considered significant. The mean age was 59.66 years (± 7.87 years) and 55.17% were females. Multiple linear regression analysis for predicting HbA1c showed that HbA1c level was lower in patients with higher treatment satisfaction scores (β = - 0.289, p < 0.001) and higher medication adherence scores (β = - 0.198, p = 0.001). Treatment satisfaction scores were positively predicted by higher physician trust scores (β = 0.301, p < 0.001), increased medication adherence scores (β = 0.160, p = 0.002), and longer duration of diabetes (β = 0.226, p < 0.001). Positive predictors for physician trust included HbA1c level (β = 0.141, p = 0.012), medication knowledge (β = 0.280, p < 0.001), diabetes treatment satisfaction (β = 0.366, p < 0.001) and medication adherence (β = 0.146, p = 0.011). Optimizing diabetes treatment satisfaction and physician trust could have favorable associations with medication adherence and medication knowledge with a possible improvement in glycemic control. Family physicians should incorporate patients reported outcomes alongside traditional clinical measures in evaluating diabetes management in primary care.

Diabetes Health Literacy, Drug Adherence and Factors Associated with Them among Urban Patients in Kerala, India.

The study aimed to assess diabetes health literacy, adherence to diabetes medication, and its associated factors in Kerala, India, the most advanced Indian state in epidemiological transition with the highest literacy level in India. We conducted a community-based cross-sectional study among 280 diabetes patients (mean age 62 years, male 42%) selected by multistage cluster sampling. Information on sociodemographic variables was collected using a pretested structured interview schedule. Diabetes health literacy was assessed using the revised Michigan Diabetes Knowledge test. Adherence to diabetes medication was assessed using the Hill-Bone subscale. Binary logistic regression analysis was done to find out the factors associated with diabetes health literacy and medication adherence. Good diabetes health literacy was reported by 35.7% [95% confidence interval (CI): 30.1-41.6] of the patients. Perfect adherence to diabetes medication was reported by 33.2% of patients (CI: 27.7-39.1). Patients who reported regular newspaper reading [adjusted odds ratio (AOR) 3.16; CI: 1.57-6.30], using the internet (AOR 2.23; CI: 1.11-4.50) and insulin use (AOR 2.60; CI: 1.35-5.00) were more likely to report good diabetes health literacy compared to their counterparts. Patients who reported reading health magazines (AOR 2.75; CI: 1.01-7.60) were more likely to report perfect medication adherence compared to those who did not. Why diabetes health literacy and medication adherence were low among diabetes patients in the most literate state needs further investigation. Interventions to enhance diabetes health literacy and medication adherence may be undertaken among diabetes patients encouraging them to read newspapers and health magazines regularly and use the internet.

Implementing Effective Care Through Utilization of Diabetes-Focused "Right Care" Visits in a Suburban Primary Care Setting.

Background: Diabetes is the seventh leading cause of death in the United States and the leading cause of lower limb amputations, adult-onset blindness, and renal failure. It is estimated that 34.2 million Americans have a diabetes diagnosis, and the prevalence of this condition has continually increased over the last two decades. This study includes patients at a large, suburban primary care practice in southwest Ohio who were considered to have uncontrolled diabetes based on their last Hemoglobin A1c of greater than 9%. Compliance with recommended annual screenings among this population was 15%. Objectives: The aim of this project was to improve glycemic control and increase the number of patients who received the recommended annual screenings through the implementation of nurse practitioner-driven, diabetes-focused "Right Care" visits.C Methods: This quality improvement pilot study consisted of interventions implemented over the four plan-do-study-act cycles. Each cycle included a test of change that was identified based on data from previous cycles to ensure continuous improvement throughout project implementation. Four interventions were evaluated including the utilization of a diabetes registry, implementation of a "Right Care" checklist during "Right Care" visits, use of a patient engagement tool with a focus on individualizing diabetes medication regimens, and implementation of a team-engagement plan. Results: Average Hemoglobin A1c reduction was 2.4% post-"Right Care" visit. Compliance with the annual screening bundle increased to 44% over 8 weeks. Utilization of the patient/provider relationship increased visit compliance by 18%, and the team engagement plan decreased work-related stress by 12%. Conclusions: The implementation of "Right Care" visits led to improved glycemic control and increased compliance with the recommended annual screenings among patients with an A1c greater than 9%. The patient engagement tool identified key factors related to diabetes medication adherence and team engagement decreased work-related stress and improved annual fundoscopic exam screening compliance. Implications for Nursing: Nurse practitioner-led "Right Care" visits utilize the knowledge and skills of advanced practice registered nurses to improve glycemic control in patients with uncontrolled diabetes.

Implementing a text message-based intervention to support type 2 diabetes medication adherence in primary care: a qualitative study with general practice staff

BackgroundThe Support through Mobile Messaging and digital health Technology for Diabetes (SuMMiT-D) project has developed, and is evaluating, a mobile phone-based intervention delivering brief messages targeting identified behaviour change techniques promoting medication use to people with type 2 diabetes in general practice. The present study aimed to inform refinement and future implementation of the SuMMiT-D intervention by investigating general practice staff perceptions of how a text message-based intervention to support medication adherence should be implemented within current and future diabetes care.MethodsSeven focus groups and five interviews were conducted with 46 general practice staff (including GPs, nurses, healthcare assistants, receptionists and linked pharmacists) with a potential role in the implementation of a text message-based intervention for people with type 2 diabetes. Interviews and focus groups were audio-recorded, transcribed and analysed using an inductive thematic analysis approach.ResultsFive themes were developed. One theme ‘The potential of technology as a patient ally’ described a need for diabetes support and the potential of technology to support medication use. Two themes outlined challenges to implementation, ‘Limited resources and assigning responsibility’ and ‘Treating the patient; more than diabetes medication adherence’. The final two themes described recommendations to support implementation, ‘Selling the intervention: what do general practice staff need to see?’ and ‘Fitting the mould; complementing current service delivery’.ConclusionsStaff see the potential for a text message-based support intervention to address unmet needs and to enhance care for people with diabetes. Digital interventions, such as SuMMiT-D, need to be compatible with existing systems, demonstrate measurable benefits, be incentivised and be quick and easy for staff to engage with. Interventions also need to be perceived to address general practice priorities, such as taking a holistic approach to care and having multi-cultural reach and relevance. Findings from this study are being combined with parallel work with people with type 2 diabetes to ensure stakeholder views inform further refinement and implementation of the SuMMiT-D intervention.

EPH108 Relationships between Zip Code Level Social Determinants of Health and Type 2 Diabetes Medication Adherence

Traditional real-world data sources may be missing Social Determinants of Health (SDoH) that impact health behaviors and outcomes. This study compares geographic location-based SDoH between patients adherent and non-adherent to oral antidiabetes medications.

Factors associated with Diabetes Empowerment among patients with type 2 diabetes, at OPD setting, Karachi, Pakistan

Diabetes Empowerment is important for diabetic control as it postpones the onset of complications. This study aimed to investigate the association of medication adherence, self-care behaviors, and diabetes knowledge with Diabetes Empowerment among patients with type II diabetes. A cross-sectional study was conducted on 451 type II diabetes patients attending Endocrinology clinics at OPD setting in Karachi. Data was collected electronically using a structured questionnaire comprising of tools to measure Diabetes Empowerment, medication adherence, self-care behaviors, diabetes knowledge, and socioeconomic scale. It also included health-related information from patients’ medical record. As outcome variable was continuous, so multiple linear regression analysis was used to assess the independent effect of Diabetes Empowerment on medication adherence, self-care behaviors and diabetes knowledge with other co-variates. The mean Diabetes Empowerment score was 3.62 (SD = 0.31). The mean age of the participants was 56.68 (SD = 11.76). 53.88% were females, 80.71% were married, 77.56% were obese, and 66.30% were upper-middle class with average diabetes duration of 11.7 years (SD = 7.89). HbA1c values were ≥ 7 in 63.41% of study participants. Diabetes Empowerment was significantly associated with medication adherence (P = 0.001), general diet (P < 0.001), special diet (P = 0.011), smoking status (P = 0.001), and socioeconomic status (upper lower, P = 0.085). A comprehensive strategy for the treatment of type II diabetes is essential to enhance clinical results, improve patient quality of life, and prevent diabetes-related comorbidities. People with type II diabetes should be encouraged to embrace an empowerment-based approach by healthcare providers. It is critical to do research that promotes empowerment.

Association of Health-Related Social Needs With Quality and Utilization Outcomes in a Medicare Advantage Population With Diabetes

Recent research highlights the association of social determinants of health with health outcomes of patients with type 2 diabetes (T2D). To examine associations between health-related social needs (HRSNs) and health care quality and utilization outcomes in a Medicare Advantage population with T2D. This cross-sectional study used medical and pharmacy claims data from 2019. An HRSN survey was given between October 16, 2019, and February 29, 2020, to Medicare Advantage beneficiaries. Inclusion criteria were diagnosis of T2D, age of 20 to 89 years, continuous Medicare Advantage enrollment in 2019, and response to the HRSN survey. Data were analyzed between June 2021 and January 2022. Enrollment in Medicare Advantage, diagnosis of T2D, and completion of a survey on HRSNs. Quality outcomes included diabetes medication adherence, statin adherence, completion of a glycated hemoglobin (HbA1c) laboratory test in the past 12 months, and controlled HbA1c. Utilization outcomes included all-cause hospitalization, potentially avoidable hospitalization, emergency department discharge, and readmission. Of the 21 528 Medicare Advantage beneficiaries with T2D included in the study (mean [SD] age, 71.0 [8.3] years; 55.4% women), most (56.9%) had at least 1 HRSN. Among the population with T2D reporting HRSNs, the most prevalent were financial strain (73.6%), food insecurity (47.5%), and poor housing quality (39.1%). In adjusted models, loneliness (odds ratio [OR], 0.85; 95% CI, 0.73-0.99), lack of transportation (OR, 0.80; 95% CI, 0.69-0.92), utility insecurity (OR, 0.86; 95% CI, 0.76-0.98), and housing insecurity (OR, 0.78; 95% CI, 0.67-0.91) were each associated with lower diabetes medication adherence. Loneliness and lack of transportation were associated with increased emergency visits (marginal effects of 173.0 [95% CI, 74.2-271.9] and 244.6 [95% CI, 150.4-338.9] emergency visits per 1000 beneficiaries for loneliness and transportation, respectively). Food insecurity was the HRSN most consistently associated with higher acute care utilization (marginal effects of 84.6 [95% CI, 19.8-149.4] emergency visits, 30.4 [95% CI, 9.5-51.3] inpatient encounters, and 17.1 [95% CI, 4.7-29.5] avoidable hospitalizations per 1000 beneficiaries). In this cross-sectional study of Medicare Advantage beneficiaries with T2D, some HRSNs were associated with care quality and utilization. The results of the study may be used to direct interventions to the social needs most associated with T2D health outcomes and inform policy decisions at the insurance plan and community level.

Using the integrated theory of health behavior change to assess factors affecting diabetes medication adherence among black adults during COVID-19: an explanatory sequential mixed methods design

ABSTRACT Objectives (1) Evaluate changes in medication adherence and the role of psychosocial and interpersonal factors on adherence. (2) Explain the changes in medication adherence based on patient perceptions of adherence behaviors. Design We used an explanatory sequential mixed methods design for surveys at baseline and 1-year follow-up, followed by interviews. The Integrated Theory of Health Behavior Change guided the design of a questionnaire including self-reported measures of medication adherence, psychosocial factors such as illness and medication beliefs, self-efficacy, and depressive symptoms, interpersonal factors including social support and patient-provider communication, and socio-demographic and clinical factors. A convenience sample (n = 228) of adult patients with type 2 diabetes who self-identified as Black/African American completed the mail/telephone surveys. Nine semi-structured interviews were conducted with respondents of both surveys who had changes in medication adherence. Descriptive, mean differential, bivariate correlational analyses, and content analysis was conducted. Data integration merged quantitative and qualitative results as a joint display. Results Response rates for the baseline and follow-up survey were 28% and 47% respectively. Medication adherence scores were significantly correlated with illness perceptions (r = .30) and depression (r = .25) at baseline, and self-efficacy (r = −.51) and depression (r = .37) at follow-up. Qualitative themes included patient perceptions of adherence behaviors, impact of the COVID-19 pandemic, health literacy and self-efficacy. Mixed methods integration showed contrasting perceptions of the same themes including adherence behaviors, medication beliefs, social support, and patient-provider communication among participants whose medication adherence increased and decreased overtime. Conclusion Self-efficacy, diabetes beliefs, and depressive symptoms were key psychosocial factors that affected medication adherence among Blacks/African Americans. Contrasting perceptions of beliefs in medicines, social support, provider relationships and communication among increased and decreased adherence participant groups explained the changes in adherence, which can be used to adapt existing interventions.