Frameworks for measuring population health: A scoping review.

INTRODUCTION: Many regions in the world are using the population health approach and require a means to measure the health of their population of interest. Population health frameworks provide a theoretical grounding for conceptualization of population health and therefore a logical basis for selection of indicators. The aim of this scoping review was to provide an overview and summary of the characteristics of existing population health frameworks that have been used to conceptualize the measurement of population health. METHODS: We used the Population, Concept and Context (PCC) framework to define eligibility criteria of frameworks. We were interested in frameworks applicable for general populations, that contained components of measurement of health with or without its antecedents and applied at the population level or used a population health approach. Eligible reports of eligible frameworks should include at least domains and subdomains, purpose, or indicators. We searched 5 databases (Pubmed, EMBASE, Web of Science, NYAM Grey Literature Report, and OpenGrey), governmental and organizational sites on Google and websites of selected organizations using keywords from the PCC framework. Characteristics of the frameworks were summarized descriptively and narratively. RESULTS: Fifty-seven frameworks were included. The majority originated from the US (46%), Europe (23%) and Canada (19%). Apart from 1 framework developed for rural populations and 2 for indigenous populations, the rest were for general urban populations. The numbers of domains, subdomains and indicators were highly variable. Health status and social determinants of health were the most common domains across all frameworks. Different frameworks had different priorities and therefore focus on different domains. CONCLUSION: Key domains common across frameworks other than health status were social determinants of health, health behaviours and healthcare system performance. The results in this review serve as a useful resource for governments and healthcare organizations for informing their population health measurement efforts.

Health Care Challenges in the Management of Primary Aldosteronism in Southeast Asia.

CONTEXT: While guidelines have been formulated for the management of primary aldosteronism (PA), following these recommendations may be challenging in developing countries with limited health care access. OBJECTIVE: We aimed to assess the availability and affordability of health care resources for managing PA in the Association of Southeast Asian Nations (ASEAN) region, which includes low-middle-income countries. METHODS: We instituted a questionnaire-based survey to specialists managing PA, assessing the availability and affordability of investigations and treatment. Population and income status data were taken from the national census and registries. RESULTS: Nine ASEAN country members (48 respondents) participated. While screening with aldosterone-renin ratio is performed in all countries, confirmatory testing is routinely performed in only 6 countries due to lack of facilities and local assays, and cost constraint. Assays are locally available in only 4 countries, and some centers have a test turnaround time exceeding 3 weeks. In 7 countries (combined population of 442 million), adrenal vein sampling (AVS) is not routinely performed due to insufficient radiological facilities or trained personnel, and cost constraint. Most patients have access to adrenalectomy and medications. In 6 countries, the cost of AVS and adrenalectomy combined is more than 30% of its annual gross domestic product per capita. While most patients had access to spironolactone, it was not universally affordable. CONCLUSION: Large populations currently do not have access to the health care resources required for the optimal management of PA. Greater efforts are required to improve health care access and affordability. Future guideline revisions for PA may need to consider these limitations.

Association between proximity to COVID-19 and the quality of life of healthcare workers.

BACKGROUND: The coronavirus disease 2019 (COVID-19) affects almost all countries in the world and it impacts every aspect of people's life-physically, mentally, and socio-economically. There are several research studies examining the impact of this pandemic on health, however, very few studies examining the impact of this pandemic on quality of life. This study aimed to investigate the association between proximity to the COVID-19 and quality of life of healthcare workers and identify factors influencing quality of life. METHODS: A cross-sectional study was conducted among hospital staff in a tertiary hospital in Singapore. Data on demographic, medical history, lifestyle factors, psychosocial factors, and quality of life were collected using online self-administered questionnaire. Quality of life (QoL) was measured by the WHOQOL-BREF questionnaire. Robust linear regression was used to determine factors associated with quality of life. RESULTS: A total of 1911 participants were included in the analysis. The average age of participants was 38.25 (SD = 11.28) years old. 26.90% of participants had been quarantined, hospitalised, being suspected or diagnosed of having COVID-19 infection and they were found to have the lowest levels of QoL across all four domains (physical, psychological, social, and environmental domains). Participants who were singles or nurses, worked in shifts or worked longer hours, had chronic diseases were likely to have lower QoL scores compared to participants in other categories. Healthy lifestyle, social connectivity, resilience, social and workplace support were associated with higher QoL scores. CONCLUSIONS: In planning of measures which aim to improve QoL of healthcare workers, priority should be given to individuals who have been quarantined, hospitalised, being suspected, or diagnosed of having COVID-19 infection. In addition to the proximity of the COVID, lifestyle and psychosocial factors contribute to QoL of healthcare workers. Hence, multifaceted interventions are needed to improve QoL of healthcare workers.

Prevalence and correlates of psychological distress and coronavirus anxiety among hospital essential services workers in Singapore.

INTRODUCTION: The COVID-19 pandemic has affected almost all populations, with frontline workers experiencing a higher risk of mental health effects compared to other groups. Although there are several research studies focusing on the mental health effects of the pandemic on healthcare workers, there is little research about its impact on workers in outsourced hospital essential services. This study aims to examine the prevalence and correlates of psychological distress and coronavirus anxiety among staff working in 3 outsourced hospital essential services-housekeeping, porter service and maintenance services. METHODS: A cross-sectional study was conducted among outsourced hospital essential services workers in a tertiary hospital. Data on demographics, medical history, lifestyle factors, psychosocial factors and mental well-being were collected using self-administered questionnaires. Robust logistic regression was used to determine risk factors associated with psychological distress and dysfunctional anxiety related to COVID-19. RESULTS: A total of 246 hospital essential services workers participated in the study. The prevalence of psychological distress was 24.7%, and dysfunctional anxiety related to COVID-19 was 13.4%. Social support and workplace support were found to be independently associated with a lower risk of psychological distress, and social connectivity was associated with a lower risk of dysfunctional anxiety related to COVID-19. CONCLUSION: These findings highlight the crucial roles of communities and workplaces in combating the mental health consequences of the pandemic. Public health programmes that aim to tackle the emerging mental health crisis in hospital essential services workers should incorporate strategies to address psychosocial factors, in addition to traditional self-care approaches.

Socio-demographic factors and the prevalence of metabolic syndrome among filipinos from the LIFECARE cohort.

BACKGROUND: Metabolic syndrome(MetS) is an aggregation of multiple metabolic risk factors shown to lead to the development of cardiovascular disease. The International Diabetes Federation(IDF) and the modified National Cholesterol Education Program Adult Treatment Panel Ⅲ(mNCEP) criteria are used in identifying MetS. This report will determine the prevalence of MetS and its component risk factors of the Philippine cohort of the LIFE course study in CARdiovascular disease Epidemiology(LIFECARE). METHODS: Our study recruited 3,072 participants aged 20-50 years old from Metro Manila and four nearby provinces. Baseline anthropometric and clinical parameters were measured. Prevalence of MetS and its component factors were determined. Associations with socio-demographic factors were determined. RESULTS: The prevalence of MetS was 19.7% and 25.6% by IDF and mNCEP, respectively(kappa 0.83). Both were associated with increasing age, urban residence, and employed status. It was higher in females by IDF and in males by mNCEP. IDF missed 40% of males and 10% of females identified with MetS by mNCEP. More males were identified by the mNCEP as MetS despite relatively normal waist circumference. CONCLUSION: MetS is common in the Philippines among older, educated, and urban residents. The mNCEP criteria identified more MetS than the IDF criteria.

Patterns of physical activity in different domains and implications for intervention in a multi-ethnic Asian population: a cross-sectional study.

BACKGROUND: The benefits of regular physical activity for quality of life and disease prevention have been well documented. Identification of low activity groups would facilitate interventional programs. Many studies have focussed on leisure time activity, which may not capture the spectrum of physical activity relevant to disease prevention. Furthermore, few studies have been conducted in urban Asian settings. METHODS: We evaluated physical activity in different domains (leisure time, occupational, household and transportation) and its sociodemographic determinants in 4750 adult Chinese, Malay, and Asian Indian Singaporeans. Physical activity was assessed using locally validated questionnaires. RESULTS: Occupational and household activity contributed substantially more to total physical activity than leisure time or transportation activity. However, when only activity of at least moderate intensity was considered leisure time activity contributed most to total physical activity. Higher socio-economic status was associated with more leisure time activity, but less total physical activity due to reduced activity in the other domains. Chinese ethnicity was also associated with less total physical activity as a result of less activity in non-leisure time domains. CONCLUSIONS: In assessing levels of physical activity and recommending changes, it is important to consider physical activity in different domains. Focus on leisure-time physical activity alone could identify the wrong groups for intervention and miss opportunities for increasing physical activity in populations.