Cross-sectional study assessing health outcome priorities of older adults with multimorbidity at a primary care setting in Singapore.

OBJECTIVES: Managing older adults with multimorbidity may be challenging due to the conflicting benefits and harms of multiple treatments. Thus, it is important to identify patients' health outcome priorities to align treatment goals with their health preferences. This study aimed to use the Outcome Prioritisation Tool (OPT) to describe the health outcome priorities of older adults with multimorbidity and determine the factors associated with these priorities. Additionally, it aimed to assess the ease of completing the OPT in Singapore's primary care population. DESIGN: Cross-sectional study conducted from January to March 2022. SETTING: A public primary care centre in Singapore. PARTICIPANTS: 65 years and older with multimorbidity. OUTCOME MEASURES: Primary outcome measure was the most important health outcome priorities on the OPT. Secondary outcome measures were factors affecting these priorities and ease of completing the OPT. RESULTS: We enrolled 180 participants (mean age: 73.2±6.1 years). Slightly more than half (54.4%) prioritised 'staying alive', while the remainder (45.6%) prioritised 'maintaining independence' (25.6%), 'relieving pain' (10.6%) and 'relieving other symptoms' (9.4%). Participants with six or more chronic conditions were three times (OR 3.03 (95% CI1.09 to 8.42)) more likely to prioritise 'staying alive' compared with participants with three conditions. Most participants (69.4%) agreed that the OPT was easy to complete, and the mean time taken to complete the OPT was 3.8±1.6 minutes. CONCLUSION: 'Staying alive' was the most important health outcome priority, especially for older adults with six or more chronic conditions. The OPT was easily completed among older adults with multimorbidity in primary care. Further qualitative studies can be conducted to understand the factors influencing patients' priorities and explore the relevance of the OPT in guiding treatment decisions.

Evaluation of the clinical effectiveness of telephone consultation compared to face-to-face consultation in terms of glycaemic control among patients with suboptimally controlled type 2 diabetes: a retrospective cohort study.

OBJECTIVE: With the COVID-19 pandemic, telemedicine has been increasingly deployed in lieu of face-to-face consultations for management of diabetes in primary care. There was a need to evaluate clinical effectiveness of telephone consultations for diabetes management and this study aimed to show whether one-off telephone consultation was inferior or not to face-to-face consultation in terms of glycaemic control among patients with suboptimally controlled type 2 diabetes. DESIGN: Retrospective cohort study. Data of all patients with type 2 diabetes who had a chronic disease consultation during the period 9 April 2020-18 September 2020, and met the study's inclusion and exclusion criteria was obtained from the electronic medical records. SETTING: A primary care clinic in the north-eastern region of Singapore. The clinic's patient population was representative of Singapore's population in terms of gender and age. PARTICIPANTS: 644 patients with type 2 diabetes and glycated haemoglobin (HbA1c) 7.0% and above, aged 21-80 years old. INTERVENTIONS: Participants either underwent telephone or face-to-face consultation for diabetes management. OUTCOME MEASURE: Mean HbA1c change (∆HbA1c) between preintervention and postintervention. RESULTS: Over 4 months, the mean ∆HbA1c was -0.16 percentage points (p.p.) (95% CI -0.26 to -0.07) and -0.11 p.p. (95% CI -0.20 to -0.02) for face-to-face and telephone consultation groups, respectively. The difference in mean ∆HbA1c between the two groups was +0.05 p.p. (95% CI -∞ to 0.16), with the upper limit of the one-sided 95% CI less than the prespecified non-inferiority margin of 0.5 p.p. (p<0.05). In those with HbA1c≥9%, the difference in mean ∆HbA1c was +0.31 p.p. (95% CI -∞ to 0.79), which exceeded the non-inferiority margin. CONCLUSION: For patients with suboptimally controlled type 2 diabetes, one-time telephone consultation was non-inferior to face-to-face consultation in terms of glycaemic control in the short term. However, more studies are required to investigate the long-term effects of telephone consultations and for those with HbA1c≥9%.

Factors associated with family caregiver burden among frail older persons with multimorbidity.

INTRODUCTION: Singapore is facing an ageing population and the care needs of the population will increase in tandem. A segment of this population would be living with multimorbidity and frailty. Frailty is defined as an age-related state characterised by reduced strength and physiologic malfunctioning. Multimorbidity refers to the coexistence of multiple chronic conditions in an individual. Older adults are more likely to have frailty and multimorbidity, and this would increase the burden of their caregiver. Our study aimed to determine the prevalence of caregiver burden for primary family caregivers of frail older adults with multimorbidity. We also investigated the factors that were associated with primary family caregiver burden. METHODS: This was an interviewer-administered, cross-sectional study of primary family caregivers of frail older patients with multimorbidity that was conducted in two National Healthcare Group polyclinics. Convenience sampling was used. The 12-item Zarit Burden Index (ZBI) was used to assess primary family caregiver burden. The scores of the ZBI range from 0 to 48, with a score of 10 or above indicating that the primary family caregiver perceives burden. Descriptive statistics were used to provide information regarding the caregivers and the care recipients. Multivariable logistic regression was used to investigate the factors affecting primary family caregiver burden. RESULTS: One hundred eighty-eight family caregivers were interviewed and 71.8% of them perceived burden on the ZBI. 59.6% were caregivers to their parents and 18.1% of them had multimorbidity. Almost two-thirds of the caregivers interviewed were female. After adjusting for other factors via multivariable analysis, the ethnicity of the caregiver and the increase in time spent caregiving per week were the two factors positively associated with family caregiver burden. A Chinese primary family caregiver had almost three times the odds of perceiving burden when compared to a non-Chinese primary family caregiver. CONCLUSION: Caregiver burden was high amongst primary family caregivers of frail older adults with multimorbidity. Being a Chinese primary family caregiver compared to non-Chinese ethnic groups as well as being a primary family caregiver who spent increased time caregiving per week were the two factors positively associated with family caregiver burden. Further exploratory, qualitative studies can be done to find out the reasons to Chinese primary family caregivers being more burdened compared to the non-Chinese primary family caregivers. In addition, the specific factors related to increased time caregiving per week and family caregiver burden can also be studied.

Healthcare cost of patients with multiple chronic diseases in Singapore public primary care setting.

INTRODUCTION: The rising prevalence of multiple chronic diseases is an important public health issue as it is associated with increased healthcare utilisation. This paper aimed to explore the annual per capita healthcare cost in primary care for patients with multiple chronic diseases (multimorbidity). METHODS: This was a retrospective cohort study conducted in a cluster of public primary care clinics in Singapore. De-identified data from electronic medical records were extracted from July 2015 to June 2017. Only patients with at least 1 chronic disease were included in the study. Basic demographic data and healthcare cost were extracted. A list of 20 chronic diseases was considered for multimorbidity. RESULTS: There were 254,377 patients in our study population, of whom 52.8% were female. The prevalence of multimorbidity was 62.4%. The median annual healthcare cost per capita for patients with multimorbidity was about twice the amount compared to those without multimorbidity (SGD683 versus SGD344). The greatest percentage increment in cost was when the number of chronic diseases increased from 2 to 3 (43.0%). CONCLUSION: Multimorbidity is associated with higher healthcare cost in primary care. Since evidence for the optimal management of multimorbidity is still elusive, prevention or delay in the onset of multimorbidity in the general population is paramount.