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Implications of multimorbidity patterns on health care utilisation and quality of life in middle-income countries: cross-sectional analysis.

ABSTRACT: Background:Past studies have demonstrated how single non-communicable diseases (NCDs) affect health care utilisation and quality of life (QoL), but not how different NCD combinations interact to affect these. Our study aims to investigate the prevalence of NCD dyad and triad combinations, and the implications of different NCD dyad combinations on health care utilisation and QoL. Methods:Our study utilised cross-sectional data from the WHO SAGE study to examine the most prevalent NCD combinations in six large middle-income countries (MICs). Subjects were mostly aged 50 years and above, with a smaller proportion aged 18 to 49 years. Multivariable linear regression was applied to investigate which NCD dyads increased or decreased health care utilisation and QoL, compared with subjects with only one NCD. Results:The study included 41 557 subjects. Most prevalent NCD combinations differed by subgroups, including age, gender, income, and residence (urban vs rural). Diabetes, stroke, and depression had the largest effect on increasing mean number of outpatient visits, increasing mean number of hospitalisation days, and decreasing mean QoL scores, respectively. Out of the 36 NCD dyads in our study, thirteen, four, and five dyad combinations were associated with higher or lower mean number of outpatient visits, mean number of hospitalisations, or mean QoL scores, respectively, compared with treating separate patients with one NCD each. Dyads of depression were associated with fewer mean outpatient visits, more hospitalisations, and lower mean QoL scores, compared to patients with one NCD. Dyads of hypertension and diabetes were also associated with a reduced mean number of outpatient visits. Conclusions:Certain NCD combinations increase or decrease health care utilisation and QoL substantially more than treating separate patients with one NCD each. Health systems should consider the needs of patients with different multimorbidity patterns to effectively respond to the demands on health care utilisation and to mitigate adverse effects on QoL.

SUBMITTER: Sum G

PROVIDER: S-EPMC6684869 | biostudies-other | 2019 Dec

REPOSITORIES: biostudies-other

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Implications of multimorbidity patterns on health care utilisation and quality of life in middle-income countries: cross-sectional analysis.

Sum Grace G Salisbury Chris C Koh Gerald Choon-Huat GC Atun Rifat R Oldenburg Brian B McPake Barbara B Vellakkal Sukumar S Lee John Tayu JT

Journal of global health 20191201 2

<h4>Background</h4>Past studies have demonstrated how single non-communicable diseases (NCDs) affect health care utilisation and quality of life (QoL), but not how different NCD combinations interact to affect these. Our study aims to investigate the prevalence of NCD dyad and triad combinations, and the implications of different NCD dyad combinations on health care utilisation and QoL.<h4>Methods</h4>Our study utilised cross-sectional data from the WHO SAGE study to examine the most prevalent N ...[more]

PMID: 31448114

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Project description:BackgroundThe burden of non-communicable disease (NCDs) has grown rapidly in low- and middle-income countries (LMICs), where populations are ageing, with rising prevalence of multimorbidity (more than two co-existing chronic conditions) that will significantly increase pressure on already stretched health systems. We assess the impact of NCD multimorbidity on healthcare utilisation and out-of-pocket expenditures in six middle-income countries: China, Ghana, India, Mexico, Russia and South Africa.MethodsSecondary analyses of cross-sectional data from adult participants (>18 years) in the WHO Study on Global Ageing and Adult Health (SAGE) 2007-2010. We used multiple logistic regression to determine socio-demographic correlates of multimorbidity. Association between the number of NCDs and healthcare utilisation as well as out-of-pocket spending was assessed using logistic, negative binominal and log-linear models.ResultsThe prevalence of multimorbidity in the adult population varied from 3.9% in Ghana to 33.6% in Russia. Number of visits to doctors in primary and secondary care rose substantially for persons with increasing numbers of co-existing NCDs. Multimorbidity was associated with more outpatient visits in China (coefficient for number of NCD = 0.56, 95% CI = 0.46, 0.66), a higher likelihood of being hospitalised in India (AOR = 1.59, 95% CI = 1.45, 1.75), higher out-of-pocket expenditures for outpatient visits in India and China, and higher expenditures for hospital visits in Russia. Medicines constituted the largest proportion of out-of-pocket expenditures in persons with multimorbidity (88.3% for outpatient, 55.9% for inpatient visit in China) in most countries.ConclusionMultimorbidity is associated with higher levels of healthcare utilisation and greater financial burden for individuals in middle-income countries. Our study supports the WHO call for universal health insurance and health service coverage in LMICs, particularly for vulnerable groups such as the elderly with multimorbidity.

Project description:BackgroundA fifth of adults in low- and middle-income countries (LMICs) have multimorbid conditions, which are linked to socio-economic deprivation and aging. Multimorbidity is associated with high rates of functional problems and disability, increased healthcare utilization, and lower quality of life. Literature on multimorbidity and associations with function is mostly from high-income countries (HICs) and focused among older adults. Moreover, data regarding disease patterns and their impact on person-centered outcomes are limited. There is a need for research into understanding common patterns of multimorbidity, and their association with functional impairments, particularly in LMICs. Such information may contribute towards evidence-based and context-relevant strategic policy, planning, and delivery models for health and rehabilitation services, which is imperative in attaining Universal Health Coverage (UHC). The planned scoping review aims to provide an overview of the scope and nature of existing literature on multimorbidity patterns and function among adults in LMICs.MethodsA scoping review will be conducted using a five-step framework and reported according to the PRISMA-ScR guidelines. A comprehensive electronic search of PubMed/MEDLINE, Scopus, EBSCOhost, Scielo, Cochrane and Google Scholar will be conducted and updated from the last pilot search ran in September 2020. Studies of any design will be included if they are reported in English, published (between January 1976 and the last search date) in a peer-reviewed journal, and describe multimorbidity patterns and associations with physical functional impairments, activity limitations or participation restrictions among adults in LMICs. Search results will be independently screened by two reviewers and data extraction will cover study characteristics, participants' characteristics, multimorbidity measures, patterns analysis, and functional measures. Descriptive statistics and narrative synthesis will be used to synthesize and summarize findings.DiscussionPatients with multimorbidity have unique and cross-cutting needs, hence the need for integrated and person-centered approaches to policy, planning, and delivery of medical and rehabilitation services. Considering the shift towards UHC and primary healthcare-led management of chronic diseases, the proposed scoping review is timely. Findings will provide insights into the current extent and scope of multimorbidity research, and guide future inquiry in the field.Trial registrationOpen Science Framework (OSF), https://osf.io/gcy7z/.

Project description:ObjectivePrior studies have reported inequitable global access to essential medicines for cardiovascular disease (CVD) prevention, especially statins. Here we examine recent trends and disparities in statin utilisation at the income group, regional and country levels.DesignEcological study. Pharmaceutical sales data were used to examine statin utilisation in high-income counties (HICs) and low/middle-income countries (LMICs) from 2015 to 2020. Population estimates were obtained from the Global Burden of Disease. Fixed-effects panel regression analysis was used to examine associations between statin utilisation and country-level factors.SettingGlobal, including 41 HICs and 50 LMICs.ParticipantsPopulation older than 40 years of age.Primary and secondary outcome measuresStatin utilisation was measured using defined daily doses (DDDs) per 1000 population ≥40 years per day (TPD).ResultsGlobally, statin utilisation increased 24.7% from 54.7 DDDs/TPD in 2015 to 68.3 DDDs/TPD in 2020. However, regional and income group disparities persisted during this period. In 2020, statin utilisation was more than six times higher in HICs than LMICs (192.4 vs 28.4 DDDs/TPD, p<0.01). Substantial disparities were also observed between LMICs, ranging from 3.1 DDDs/TPD in West African nations to 225.0 DDDs/TPD in Lebanon in 2020. While statin utilisation increased in most LMICs between 2015 and 2020, several experienced declines in utilisation, most notably Venezuela (-85.1%, from 92.3 to 14.0 DDDs/TPD). In LMICs, every $100 increase in per capita health spending was associated with a 17% increase in statin utilisation, while every 10% increase in out-of-pocket health spending was associated with a 11% decline (both p<0.05).ConclusionsDespite global increases in statin utilisation, there are substantial regional and country-level disparities between HICs and LMICs. To address global CVD disparities, policymakers should promote increased and equitable access to statins in LMICs.

Project description:BackgroundPatients with multiple long-term conditions requires understanding the existing care models to address their complex and multifaceted health needs. However, current literature lacks a comprehensive overview of the essential components, impacts, challenges, and facilitators of these care models, prompting this scoping review.MethodsA scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Review and Meta-analysis Extension for Scoping Reviews guideline. Our search encompassed articles from PubMed, Web of Science, EMBASE, SCOPUS, and Google Scholar. The World Health Organization's health system framework was utilized to synthesis the findings. This framework comprises six building blocks (service delivery, health workforce, health information systems, access to essential medicines, financing, and leadership/governance) and eight key characteristics of good service delivery models (access, coverage, quality, safety, improved health, responsiveness, social and financial risk protection, and improved efficiency). Findings were synthesized qualitatively to identify components, impacts, barriers, and facilitators of care models.ResultsA care model represents various collective interventions in the healthcare delivery aimed at achieving desired outcomes. The names of these care models are derived from core activities or major responsibilities, involved healthcare teams, diseases conditions, eligible clients, purposes, and care settings. Notable care models include the Integrated, Collaborative, Integrated-Collaborative, Guided, Nurse-led, Geriatric, and Chronic care models, as well as All-inclusive Care Model for the Elderly, IMPACT clinic, and Geriatric Patient-Aligned Care Teams (GeriPACT). Other care models (include Care Management Plus, Value Stream Mapping, Preventive Home Visits, Transition Care, Self-Management, and Care Coordination) have supplemented the main ones. Care models improved quality of care (such as access, patient-centeredness, timeliness, safety, efficiency), cost of care, and quality of life for patients that were facilitated by presence of shared mission, system and function integration, availability of resources, and supportive tools.ConclusionsCare models were implemented for the purpose of enhancing quality of care, health outcomes, cost efficiency, and patient satisfaction by considering careful recruitment of eligible clients, appropriate selection of service delivery settings, and robust organizational arrangements involving leadership roles, healthcare teams, financial support, and health information systems. The distinct team compositions and their roles in service provision processes differentiate care models.

Dataset Information

Implications of multimorbidity patterns on health care utilisation and quality of life in middle-income countries: cross-sectional analysis.

Publications

Implications of multimorbidity patterns on health care utilisation and quality of life in middle-income countries: cross-sectional analysis.

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