scholarly journals SOCIAL ISOLATION AND LONELINESS: A LATENT CLASS APPROACH TO COSTING HEALTH SERVICE ENGAGEMENT IN AGING POPULATIONS

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S535-S535
Author(s):  
Elaine Douglas ◽  
David Bell
Keyword(s):  
Health Service ◽  
Social Isolation ◽  
Latent Class ◽  
Health Data ◽  
Service Usage ◽  
Population Groups ◽  
Administrative Health Data ◽  
Service Engagement ◽  
Health Service Usage ◽  
The Impact

Abstract Social isolation and loneliness are associated with poorer health status and poorer health outcomes. Little is known the impact on health service usage, and its inherent cost, although it is considered to be higher. Latent class analysis (LCA) was used to determine profiles (population groups) of loneliness and social isolation in older people (aged 50+, n=1,057) using model-fit criteria. Loneliness was measured using the UCLA Loneliness Scale and social isolation used a measure of social networks and social contact. We then analysed the socio-demographic, perceived health, and health behaviour of these profiles using descriptive statistics and logistic regression. The survey data (HAGIS, 2016/17) were linked to retrospective administrative health data to investigate patterns of repeat prescription use (from 2009) and health service usage (from 2005) and their associated costs. Our results highlight the distinction and inter-relation between social isolation and loneliness (including associations with socio-demographic and health characteristics), and the variation in health service usage and costs between the population groups. LCA profiles may help focussed targeting of these groups for health interventions. Further, the data-driven approach of LCA may overcome some of the limitations of indices of social isolation and loneliness. As such, this will extend the existing methodological approaches to quantitative analyses of social isolation and loneliness and demonstrate the benefits of using linked administrative health data. Significantly, this study incorporates the social and financial cost of social isolation and loneliness on health and its implications for health services.

scholarly journals The relationship between loneliness, social isolation and health service usage in an older population: an example of administrative data linkage using Healthy Ageing In Scotland (HAGIS) and NHS records

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Elaine Douglas ◽  
David Bell
Keyword(s):  
Health Service ◽  
Social Isolation ◽  
Hospital Admissions ◽  
Healthy Ageing ◽  
Self Report ◽  
Public Health Approach ◽  
Service Usage ◽  
Older Population ◽  
Population Groups ◽  
Health Service Usage

Objectives Social isolation and loneliness in older populations have been widely reported since 2000s, and are both associated with poorer health status, and physical and mental health conditions. Yet, little is known about how patterns of social isolation and loneliness in ageing populations are reflected in health service usage. Further, the range of definitions and the limitations of, often used, indices of social isolation and loneliness can make it difficult to understand how social isolation and loneliness is manifest within populations and across place. AimTo understand variation in health service usage in an older population in Scotland who self-report loneliness and social isolation. MethodsLatent class analysis (LCA) was used to determine profiles (population groups) of loneliness and social isolation in older people in Scotland (Healthy Ageing in Scotland, HAGIS, n = 1,057) using model-fit criteria. Loneliness was measured using the UCLA Loneliness Scale and social isolation used a measure of social networks and social contact. We then analysed the socio-demographic, and subjective health (physical and mental) of these profiles using logistic regression. The survey data (HAGIS, 2016/17) were linked to retrospective administrative health data to investigate patterns of health service usage (from 2005). ResultsOur results highlight the distinction and inter-relation between social isolation and loneliness and the variation in health service usage between these population groups, in particular, the number of hospital admissions and length of stay. ConclusionThis study adds further evidence of the association between social isolation, loneliness and poor health, and offers new insights into variation in health service usage. Such an approach also offers substantive potential for the adoption of a public health approach to benefit those most at risk of social isolation and loneliness, and poorer health outcomes.

scholarly journals Loneliness and Patterns of Health Service Usage: Evidence From Healthy Ageing in Scotland

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 642-642
Author(s):  
Elaine Douglas ◽  
David Bell
Keyword(s):  
Health Service ◽  
Older People ◽  
Healthy Ageing ◽  
Descriptive Statistics ◽  
Hospital Services ◽  
Service Usage ◽  
Administrative Health Data ◽  
Health Service Usage ◽  
Hospital Visits ◽  
Ageing Populations

Abstract Loneliness is associated with poorer health status and health outcomes. Yet, little is known about how loneliness in ageing populations is associated with health service usage. Loneliness (UCLA-3) was measured in older people in Scotland (Healthy Ageing in Scotland, HAGIS, n = 1,057). We analysed socio-demographic, perceived health, and health behaviour characteristics using descriptive statistics and logistic regression. The survey data (HAGIS, 2016/17) were linked to retrospective administrative health data to investigate patterns of health service usage (from 2005), such as the number of hospital visits and mean length of stay, and their associated costs. Two-part models were used to highlight variation i) in those who had ever vs never been admitted to hospital, and ii) between those who had been admitted. Our results highlight the variation in hospital service usage in those experiencing loneliness and opens discussion on the implications for older people and hospital services.

scholarly journals The relationship between HIV testing, stigma, and health service usage

AIDS Care ◽  
2010 ◽  
Vol 22 (3) ◽  
pp. 373-380 ◽  
Author(s):  
Sean D. Young ◽  
Eran Bendavid
Keyword(s):  
Health Service ◽  
Hiv Testing ◽  
Service Usage ◽  
Health Service Usage ◽  
The Relationship

scholarly journals Quantifying Queensland patients with cancer health service usage and costs: study protocol

BMJ Open ◽  
2017 ◽  
Vol 7 (1) ◽  
pp. e014030 ◽  
Author(s):  
Emily Callander ◽  
Stephanie M Topp ◽  
Sarah Larkins ◽  
Sabe Sabesan ◽  
Nicole Bates
Keyword(s):  
Health Service ◽  
Study Protocol ◽  
Service Usage ◽  
Patients With Cancer ◽  
Health Service Usage

scholarly journals Effects of an Adolescent Sexual and Reproductive Health Intervention on Health Service Usage by Young People in Northern Ghana: A Community-Randomised Trial

PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0125267 ◽  
Author(s):  
Gifty Apiung Aninanya ◽  
Cornelius Y. Debpuur ◽  
Timothy Awine ◽  
John E. Williams ◽  
Abraham Hodgson ◽  
...  
Keyword(s):  
Young People ◽  
Reproductive Health ◽  
Health Service ◽  
Sexual And Reproductive Health ◽  
Randomised Trial ◽  
Health Intervention ◽  
Northern Ghana ◽  
Service Usage ◽  
Health Service Usage

Administrative health databases for addressing emerging issues in adults with CHD: a systematic review

2018 ◽  
Vol 28 (6) ◽  
pp. 844-853 ◽  
Author(s):  
Sarah Cohen ◽  
Harel Gilutz ◽  
Ariane J. Marelli ◽  
Laurence Iserin ◽  
Arriel Benis ◽  
...  
Keyword(s):  
Temporal Trends ◽  
The United States ◽  
Health Data ◽  
Data Sources ◽  
Resource Utilisation ◽  
Cross Sectional ◽  
Administrative Health Data ◽  
Patient Level ◽  
Administrative Health Databases ◽  
The Impact

AbstractThe need for population-based studies of adults with CHD has motivated the growing use of secondary analyses of administrative health data in a variety of jurisdictions worldwide. We aimed at systematically reviewing all studies using administrative health data sources for adult CHD research from 2006 to 2016. Using PubMed and Embase (1 January, 2006 to 1 January, 2016), we identified 2217 abstracts, from which 59 studies were included in this review. These comprised 12 different data sources from six countries. Of these, 55% originated in the United States of America, 28% in Canada, and 17% in Europe and Asia. No study was published before 2007, after which the number of publications grew exponentially. In all, 41% of the studies were cross-sectional and 25% were retrospective cohort studies with a wide variation in the availability of patient-level compared with hospitalisation-level episodes of care; 58% of studies from eight different data sources linked administrative data at a patient level; and 37% of studies reported validation procedures. Assessing resource utilisation and temporal trends of relevant epidemiological and outcome end points were the most reported objectives. The median impact factor of publication journals was 4.04, with an interquartile range of 3.15, 7.44. Although not designed for research purposes, administrative health databases have become powerful data sources for studying adult CHD populations because of their large sample sizes, comprehensive records, and long observation periods, providing a useful tool to further develop quality of care improvement programmes. Data linkage with electronic records will become important in obtaining more granular life-long adult CHD data. The health services nature of the data optimises the impact on policy and public health.

scholarly journals Association of comorbidity and health service usage among patients with dementia in the UK: a population-based study

BMJ Open ◽  
2017 ◽  
Vol 7 (3) ◽  
pp. e012546 ◽  
Author(s):  
Jorge Browne ◽  
Duncan A Edwards ◽  
Kirsty M Rhodes ◽  
D James Brimicombe ◽  
Rupert A Payne
Keyword(s):  
Health Service ◽  
Population Based ◽  
Service Usage ◽  
Population Based Study ◽  
Health Service Usage ◽  
The Uk

scholarly journals Magnitude, pattern and correlates of multimorbidity among patients attending chronic outpatient medical care in Bahir Dar, northwest Ethiopia: the application of latent class analysis model

2021 ◽  
Author(s):  
Fantu Abebe Eyowas ◽  
Marguerite Schneider ◽  
Shitaye Alemu ◽  
Sanghamitra Pati ◽  
Fentie Ambaw Getahun
Keyword(s):  
Health Service ◽  
Medical Care ◽  
Chronic Conditions ◽  
Associated Factors ◽  
Latent Class ◽  
Statistical Significance ◽  
Overweight And Obesity ◽  
Advanced Age ◽  
Bahir Dar ◽  
The Impact

AbstractObjectiveThis study aimed to investigate the magnitude, pattern and associated factors of multimorbidity in Bahir Dar, Ethiopia.MethodsA multi-centered facility based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complimentary methods (interview and review of medical records) were employed to collect the data on socio-demographic, behavioral and disease related characteristics. The data were analyzed by STATA V.16 and R Software V.4.1.0. We run descriptive statistics and fitted logistic regression and latent class analyses (LCA) models to determine associated factors and patterns of multimorbidity. Statistical significance was considered at p-value ≤0.05.ResultsThe magnitude of individual chronic conditions ranged from 1.4% to 37.9%, and multimorbidity was identified in 54.8% (95% CI=52.2%-57.4%) of the sample. The likelihood of developing multimorbidity was higher among participants aged from 45-54 years (AOR: 1.5, 95%CI= 1.1, 2.1), 55-64 years (AOR: 2.5, 95%CI=1.7, 3.5) and 65 years or more (AOR: 2.4, 95%CI=1.7, 3.5), among individuals classified as overweight (AOR: 1.6, 95%CI=1.2, 2.1) or obese (AOR: 1.9, 95%CI=1.3, 3.0) and among those individuals who believe in external locus of control (AOR: 1.8, 95%CI=1.3, 2.5). Four patterns of multimorbidity were identified, the cardiovascular category being the largest class (50.2%), followed by the metabolic group (32.6%). Advanced age, overweight and obesity predicted latent class membership, adjusting for relevant confounding factors.ConclusionThe magnitude of multimorbidity in this study was high. The most frequently diagnosed chronic conditions shaped the patterns of multimorbidity. Advanced age, overweight and obesity were the factors profoundly associated with multimorbidity. Health service organization and provision in the study area need to be oriented by the realities in disease burden and pattern of multimorbidity. Further research is required to better understand the impact of multimorbidity on individuals wellbeing, survival and health service delivery.

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