Impact of patients' beliefs about insulin on acceptance and adherence to insulin therapy: a qualitative study in primary care.

BACKGROUND: Insulin therapy forms a cornerstone of pharmacological management of diabetes mellitus (DM). However, there remains a lack of acceptance and adherence to insulin, thereby contributing to poor DM control. This study aimed to determine the impact of patients' beliefs about insulin on acceptance and adherence to insulin therapy. METHOD: This was a qualitative study using grounded theory approach. The study took place from September 2019 to January 2021 at a cluster of primary healthcare clinics in Singapore. Maximum variation sampling was used to recruit adult patients with type 2 DM on basal or premixed insulin for at least 6 months. Semistructured in-depth interviews were conducted using a topic guide and audio recorded. Data collection continued until saturation. Data analysis utilised a constant comparison procedure and a synthesis approach. RESULTS: Twenty-one participants (mean age 61 years) were interviewed for this study. Data analyses showed that there were 6 main themes that emerged. Four themes influenced both insulin acceptance and adherence. These were concerns about insulin being a lifelong treatment, physical fear of insulin injection, erroneous beliefs about insulin, and perceived fear of DM complications. Two additional themes influenced adherence to insulin therapy. These were socioeconomic concerns, and concerns about side effects of insulin. CONCLUSIONS: Patients' beliefs about insulin impact on the acceptance and adherence to insulin therapy. Health care providers need to elicit and address these beliefs during counselling to improve acceptance and adherence to insulin therapy.

Which Aspect of Patient-Provider Relationship Affects Acceptance and Adherence of Insulin Therapy in Type 2 Diabetes Mellitus? A Qualitative Study in Primary Care.

PURPOSE: In type 2 diabetes mellitus (T2DM), insulin therapy is often recommended to achieve the optimal control of disease, thereby preventing the onset and progression of diabetes-related complications. Despite knowing about the benefits, it has been reported that 71% of patients refuse insulin and the adherence rate ranges from 30 to 80%. Patient-provider relationship (PPR) may affect such insulin-related behaviours, but little is known about which aspect of PPR affects this. This study aimed to explore the key aspect of the patient-provider relationship that affects the initial insulin acceptance and continued adherence. PATIENTS AND METHODS: We used the grounded theory approach in this qualitative research. The study was conducted at two primary care clinics between September 2019 and January 2021. Patients with T2DM on basal or premixed insulin were recruited using maximum variation sampling. Data were collected using semi-structured in-depth interviews and transcribed verbatim for analysis using constant comparison and synthesis. RESULTS: Twenty-one participants with different levels of diabetes control and adherence were recruited. Four themes that emerged were 1) patient-provider interaction, 2) addressing the psychological fears, 3) gaining confidence in handling insulin equipment and 4) follow-up after insulin initiation. Among the subthemes, trust in doctors, provider's communication skills, patient-centred decision-making and continuity of care positively influenced insulin acceptance and adherence. Conversely, fear of being judged by the provider hindered open communication around non-adherence. Various aspects of interaction with nurses helped in alleviating patient's fear of injection and gaining confidence with the insulin equipment. CONCLUSION: Many aspects of PPR affect insulin acceptance and adherence. Among these, gaining patients' trust, effective patient-provider communication, patient-centred decision-making, and ensuring continuity of care improve both insulin acceptance and treatment adherence. Various interactions with nurses help in addressing fears surrounding injection and gaining acceptance towards insulin therapy. Patients' fear of being blamed or judged by the provider negatively affects open communication around non-adherence.

Predicting Coronary Artery Disease in Primary Care: Development and Validation of a Diagnostic Risk Score for Major Ethnic Groups in Southeast Asia.

BACKGROUND: Coronary artery disease (CAD) risk prediction tools are useful decision supports. Their clinical impact has not been evaluated amongst Asians in primary care. OBJECTIVE: We aimed to develop and validate a diagnostic prediction model for CAD in Southeast Asians by comparing it against three existing tools. DESIGN: We prospectively recruited patients presenting to primary care for chest pain between July 2013 and December 2016. CAD was diagnosed at tertiary institution and adjudicated. A logistic regression model was built, with validation by resampling. We validated the Duke Clinical Score (DCS), CAD Consortium Score (CCS), and Marburg Heart Score (MHS). MAIN MEASURES: Discrimination and calibration quantify model performance, while net reclassification improvement and net benefit provide clinical insights. KEY RESULTS: CAD prevalence was 9.5% (158 of 1658 patients). Our model included age, gender, type 2 diabetes mellitus, hypertension, smoking, chest pain type, neck radiation, Q waves, and ST-T changes. The C-statistic was 0.808 (95% CI 0.776-0.840) and 0.815 (95% CI 0.782-0.847), for model without and with ECG respectively. C-statistics for DCS, CCS-basic, CCS-clinical, and MHS were 0.795 (95% CI 0.759-0.831), 0.756 (95% CI 0.717-0.794), 0.787 (95% CI 0.752-0.823), and 0.661 (95% CI 0.621-0.701). Our model (with ECG) correctly reclassified 100% of patients when compared with DCS and CCS-clinical respectively. At 5% threshold probability, the net benefit for our model (with ECG) was 0.063. The net benefit for DCS, CCS-basic, and CCS-clinical was 0.056, 0.060, and 0.065. CONCLUSIONS: PRECISE (Predictive Risk scorE for CAD In Southeast Asians with chEst pain) performs well and demonstrates utility as a clinical decision support for diagnosing CAD among Southeast Asians.