The Effectiveness of Enhanced Primary Healthcare (EnPHC) interventions on Type 2 diabetes management in Malaysia: Difference-in-differences (DID) analysis.

AIMS: To evaluate the effectiveness of the Enhanced Primary Healthcare (EnPHC) interventions on process of care and intermediate clinical outcomes among type 2 diabetes patients. METHODS: This was a quasi-experimental controlled study conducted in 20 intervention and 20 control public primary care clinics in Malaysia from November 2016 to June 2019. Type 2 diabetes patients aged 30 years and above were selected via systematic random sampling. Outcomes include process of care and intermediate clinical outcomes. Difference-in-differences analyses was conducted. RESULTS: We reviewed 12,017 medical records of patients with type 2 diabetes. Seven process of care measures improved: HbA1c tests (odds ratio (OR) 3.31, 95% CI 2.13, 5.13); lipid test (OR 4.59, 95% CI 2.64, 7.97), LDL (OR 4.33, 95% CI 2.16, 8.70), and urine albumin (OR 1.99, 95% CI 1.12, 3.55) tests; BMI measured (OR 15.80, 95% CI 4.78, 52.24); cardiovascular risk assessment (OR 174.65, 95% CI 16.84, 1810.80); and exercise counselling (OR 1.18, 95% CI 1.04, 1.33). We found no statistically significant changes in intermediate clinical outcomes (i.e. HbA1c, LDL, HDL and BP control). CONCLUSIONS: EnPHC interventions was successful in enhancing the quality of care, in terms of process of care, by changing healthcare providers behaviour.

Conjoint analyses of patients' preferences for primary care: a systematic review.

BACKGROUND: While patients' preferences in primary care have been examined in numerous conjoint analyses, there has been little systematic effort to synthesise the findings. This review aimed to identify, to organise and to assess the strength of evidence for the attributes and factors associated with preference heterogeneity in conjoint analyses for primary care outpatient visits. METHODS: We searched five bibliographic databases (PubMed, Embase, PsycINFO, Econlit and Scopus) from inception until 15 December 2021, complemented by hand-searching. We included conjoint analyses for primary care outpatient visits. Two reviewers independently screened papers for inclusion and assessed the quality of all included studies using the checklist by ISPOR Task Force for Conjoint Analysis. We categorized the attributes of primary care based on Primary Care Monitoring System framework and factors based on Andersen's Behavioural Model of Health Services Use. We then assessed the strength of evidence and direction of preference for the attributes of primary care, and factors affecting preference heterogeneity based on study quality and consistency in findings. RESULTS: Of 35 included studies, most (82.4%) were performed in high-income countries. Each study examined 3-8 attributes, mainly identified through literature reviews (n = 25). Only six examined visits for chronic conditions, with the rest on acute or non-specific / other conditions. Process attributes were more commonly examined than structure or outcome attributes. The three most commonly examined attributes were waiting time for appointment, out-of-pocket costs and ability to choose the providers they see. We identified 24/58 attributes with strong or moderate evidence of association with primary care uptake (e.g., various waiting times, out-of-pocket costs) and 4/43 factors with strong evidence of affecting preference heterogeneity (e.g., age, gender). CONCLUSIONS: We found 35 conjoint analyses examining 58 attributes of primary care and 43 factors that potentially affect the preference of these attributes. The attributes and factors, stratified into evidence levels based on study quality and consistency, can guide the design of research or policies to improve patients' uptake of primary care. We recommend future conjoint analyses to specify the types of visits and to define their attributes clearly, to facilitate consistent understanding among respondents and the design of interventions targeting them. Word Count: 346/350 words. TRIAL REGISTRATION: On Open Science Framework: https://osf.io/m7ts9.

Optimal cut-off points for adherence measure among patients with type 2 diabetes in primary care clinics: a retrospective analysis.

BACKGROUND: Medication adherence measures are often dichotomized to classify patients into those with good or poor adherence using a cut-off value ⩾80%, but this cut-off may not be universal across diseases or medication classes. This study aimed to examine the cut-off value that optimally distinguish good and poor adherence by using the medication possession ratio (MPR) and proportion of days covered (PDC) as adherence measures and glycated hemoglobin (HbA1c) as outcome measure among type 2 diabetes mellitus (T2DM) patients. METHOD: We used pharmacy dispensing data of 1461 eligible T2DM patients from public primary care clinics in Malaysia treated with oral antidiabetic drugs between January 2018 and May 2019. Adherence rates were calculated during the period preceding the HbA1c measurement. Adherence cut-off values for the following conditions were compared: adherence measure (MPR versus PDC), assessment period (90-day versus 180-day), and HbA1c target (⩽7.0% versus ⩽8.0%). RESULTS: The optimal adherence cut-offs for MPR and PDC in predicting HbA1c ⩽7.0% ranged between 86.1% and 98.3% across the two assessment periods. In predicting HbA1c ⩽8.0%, the optimal adherence cut-offs ranged from 86.1% to 92.8%. The cut-off value was notably higher with PDC as the adherence measure, shorter assessment period, and a stricter HbA1c target (⩽7.0%) as outcome. CONCLUSION: We found that optimal adherence cut-off appeared to be slightly higher than the conventional value of 80%. The adherence thresholds may vary depending on the length of assessment period and outcome definition but a reasonably wise cut-off to distinguish good versus poor medication adherence to be clinically meaningful should be at 90%.

Quality of hypertension management in public primary care clinics in Malaysia: An update.

INTRODUCTION: Adequate control of hypertension is a global challenge and is the key to reduce cardiovascular disease risk factors. This study evaluates management of hypertensive patients in primary care clinics in Malaysia. METHODS: A cross-sectional analysis of 13 784 medical records from 20 selected public primary care clinics in Malaysia was performed for patients aged ≥30 years old who were diagnosed with hypertension and had at least one visit between 1st November 2016 and 30th June 2019. Multivariable logistic regression adjusted for complex survey design was used to determine the association between process of care and blood pressure (BP) control among the hypertensive patients. RESULTS: Approximately 50% of hypertensive patients were obese, 38.4% of age ≥65 years old, 71.2% had at least one comorbidity and approximately one-third were on antihypertensive monotherapy. Approximately two-third of the hypertensive patients with diabetic proteinuria were prescribed with the appropriate choice of antihypertensive agents. Approximately half of the patients received at least 70% of the target indicated care and 42.8% had adequately controlled BP. After adjusting for covariates, patients who received counseling on exercise were positively associated with adequate BP control. Conversely, patients who were prescribed with two or more antihypertensive agents were negatively associated with good BP control. CONCLUSIONS: These findings indicated that BP control was suboptimal and deficient in the process of care with consequent gaps in guidelines and actual clinical practices. This warrants a re-evaluation of the current strategies and approaches to improve the quality of hypertension management and ultimately to improve outcome.

Study protocol on Enhanced Primary Healthcare (EnPHC) interventions: a quasi-experimental controlled study on diabetes and hypertension management in primary healthcare clinics.

AIM: This paper describes the study protocol, which aims to evaluate the effectiveness of a multifaceted intervention package called 'Enhanced Primary Healthcare' (EnPHC) on the process of care and intermediate clinical outcomes among patients with Type 2 diabetes mellitus (T2DM) and hypertension. Other outcome measures include patients' experience and healthcare providers' job satisfaction. BACKGROUND: In 2014, almost two-thirds of Malaysia's adult population aged 18 years or older had T2DM, hypertension or hypercholesterolaemia. An analysis of health system performance from 2016 to 2018 revealed that the control and management of diabetes and hypertension in Malaysia was suboptimal with almost half of the patients not diagnosed and just one-quarter of patients with diabetes appropriately treated. EnPHC framework aims to improve diagnosis and effective management of T2DM, hypertension or hypercholesterolaemia and their risk factors by increasing prevention, optimising management and improving surveillance of diagnosed patients. METHODS: This is a quasi-experimental controlled study which involves 20 intervention and 20 control clinics in two different states in Malaysia, namely Johor and Selangor. The clinics in the two states were matched and randomly allocated to 'intervention' and 'control' arms. The EnPHC framework targets different levels from community to primary healthcare clinics and integrated referral networks.Data are collected via a retrospective chart review (RCR), patient exit survey, healthcare provider survey and an intervention checklist. The data collected are entered into tablet computers which have installed in them an offline survey application. Interrupted time series and difference-in-differences (DiD) analyses will be conducted to report outcomes.

Patient experience on self-management support among primary care patients with diabetes and hypertension.

OBJECTIVE: To determine the extent of self-management support (SMS) provided to primary care patients with type 2 diabetes (T2D) and hypertension and its associated factors. DESIGN: Cross-sectional survey conducted between April and May 2017. SETTING: Forty public clinics in Malaysia. PARTICIPANTS: A total of 956 adult patients with T2D and/or hypertension were interviewed. MAIN OUTCOME MEASURES: Patient experience on SMS was evaluated using a structured questionnaire of the short version Patient Assessment of Chronic Illness Care instrument, PACIC-M11. Linear regression analysis adjusting for complex survey design was used to determine the association of patient and clinic factors with PACIC-M11 scores. RESULTS: The overall PACIC-M11 mean was 2.3(SD,0.8) out of maximum of 5. The subscales' mean scores were lowest for patient activation (2.1(SD,1.1)) and highest for delivery system design/decision support (2.9(SD,0.9)). Overall PACIC-M11 score was associated with age, educational level and ethnicity. Higher overall PACIC-M11 ratings was observed with increasing difference between actual and expected consultation duration [ß = 0.01; 95% CI (0.001, 0.03)]. Better scores were also observed among patients who would recommend the clinic to friends and family [ß = 0.19; 95% CI (0.03, 0.36)], when health providers were able to explain things in ways that were easy to understand [ß = 0.34; 95% CI (0.10, 0.59)] and knew about patients' living conditions [ß = 0.31; 95% CI (0.15, 0.47)]. CONCLUSIONS: Our findings indicated patients received low levels of SMS. PACIC-M11 ratings were associated with age, ethnicity, educational level, difference between actual and expected consultation length, willingness to recommend the clinic and provider communication skills.

The associations of illness perception with metabolic control (HbA1c) among type 2 diabetes mellitus patients in a district hospital.

OBJECTIVES: Despite the availability of a wide selection of anti-diabetic treatments, many type 2 DM (T2DM) patients still do not have controlled glucose levels. In addition to pharmacological intervention, patients' own implicit beliefs about their illness should be targeted for health intervention. Thus, we conducted a quantitative study to evaluate the associations between illness perception (IP) domains and metabolic control (HbA1c) of T2DM patients in Selama Hospital and to identify patients' perceptions of the causal T2DM factors. METHOD: A cross-sectional study was conducted in the outpatient department of Selama Hospital from October to December 2015. A total of 200 T2DM patients were recruited using systematic random sampling. A self-administered validated questionnaire consisting of three sections was used, and the data were analysed using SPSS version 18. The associations between eight IP domains and HbA1c were evaluated via multiple linear regression. P values <0.05 were considered significant. KEY FINDINGS: The analysis included data from 200 respondents with a mean age of 57.7 years (SE = 9.8). The majority were women (64.5%) and Malays (86%) with a primary school education (43.5%) and a family history of diabetes (53.5%). The median duration of illness was 5 years (IQR = 7), and the median HbA1c level was 8.15% (IQR = 3.1). The mean score for the eight IP domains was 33.7 (SE = 8.43) out of a total score of 80. Using multiple linear regression, HbA1c was found to be significantly associated with IP domains of identity symptoms at 0.221 (95% CI 0.083-0.358). Moreover, 79.4% of patients ranked diet and eating behaviour as the main factor for T2DM. CONCLUSION: The IP domain of identity symptoms was significantly correlated with T2DM metabolic control. By understanding patients' IP, healthcare providers can focus on behavioural approaches to managing T2DM patients. Steps must be taken to educate patients about the importance of diet control in managing T2DM.