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Kaier K, Metzner G, Horstmeier L, Bitzer EM, Heimbach B, Kiekert J, Voigt-Radloff S, Farin-Glattacker E. The economic impact of a local, collaborative, stepped, and personalized care management for older people with chronic diseases: results from the randomized comparative effectiveness LoChro-trial. BMC Health Serv Res 2023; 23:1422. [PMID: 38102609 PMCID: PMC10724907 DOI: 10.1186/s12913-023-10401-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Within the ageing population of Western societies, an increasing number of older people have multiple chronic conditions. Because multiple health problems require the involvement of several health professionals, multimorbid older people often face a fragmented health care system. To address these challenges, in a two-group parallel randomized controlled trial, a newly developed care management approach (LoChro-Care) was compared with usual care. METHODS LoChro-Care consists of individualized care provided by chronic care managers with 7 to 16 contacts over 12 months. Patients aged 65 + with chronic conditions were recruited from inpatient and outpatient departments. Healthcare utilization costs are calculated by using an adapted version of the generic, self-reporting FIMA©-questionnaire with the application of standardized unit costs. Questionnaires were given at 3 time points (T0 baseline, T1 after 12 months, T2 after 18 months). The primary outcome was overall 3-month costs of healthcare utilization at T1 and T2. The data were analyzed using generalized linear models with log-link and gamma distribution and adjustment for age, sex, level of care as well as the 3-month costs of care at T0. RESULTS Three hundred thirty patients were analyzed. The results showed no significant difference in the costs of healthcare utilization between participants who received LoChro-Care and those who received usual care, regardless of whether the costs were evaluated 12 (adjusted mean difference € 130.99, 95%CI €-1477.73 to €1739.71, p = 0.873) or 18 (adjusted mean difference €192.99, 95%CI €-1894.66 to €2280.65, p = 0.856) months after the start of the intervention. CONCLUSION This study revealed no differences in costs between older people receiving LoChro-Care or usual care. Before implementing the intervention, further studies with larger sample sizes are needed to provide robust evidence on the cost effects of LoChro-Care. TRIAL REGISTRATION German Clinical Trials Register (DRKS): DRKS00013904, https://drks.de/search/de/trial/DRKS00013904 ; date of first registration 02/02/2018.
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Affiliation(s)
- Klaus Kaier
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Hugstetter Str. 49, 79106, Freiburg, Germany.
| | - Gloria Metzner
- Section of Health Care Research and Rehabilitation Research, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Lukas Horstmeier
- Section of Health Care Research and Rehabilitation Research, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | | | - Bernhard Heimbach
- Centre for Geriatric Medicine and Gerontology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Jasmin Kiekert
- Catholic University of Applied Sciences Freiburg, Karlstraße 63, 79104, Freiburg, Germany
| | - Sebastian Voigt-Radloff
- Section of Health Care Research and Rehabilitation Research, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Centre for Geriatric Medicine and Gerontology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Erik Farin-Glattacker
- Section of Health Care Research and Rehabilitation Research, Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
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Ishida M, D'Souza M, Zhao Y, Pan T, Carman W, Haregu T, Lee JT. The association between obesity, health service use, and work productivity in Australia: a cross-sectional quantile regression analysis. Sci Rep 2023; 13:6696. [PMID: 37095191 PMCID: PMC10126067 DOI: 10.1038/s41598-023-33389-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 04/12/2023] [Indexed: 04/26/2023] Open
Abstract
The burden of disease attributable to obesity is rapidly increasing and becoming a public health challenge globally. Using a nationally representative sample in Australia, this study aims to examine the association of obesity with healthcare service use and work productivity across outcome distributions. We used Household, Income and Labour Dynamics Australia (HILDA) Wave 17 (2017-2018), including 11,211 participants aged between 20 and 65 years. Two-part models using multivariable logistic regressions and quantile regressions were employed to understand variations in the association between obesity levels and the outcomes. The prevalence of overweight and obesity was 35.0% and 27.6%, respectively. After adjusting for socio-demographic factors, low socioeconomic status was associated with a higher probability of overweight and obesity (Obese III: OR = 3.79; 95% CI 2.53-5.68) while high education group was associated with a lower likelihood of being high level of obesity (Obese III OR = 0.42, 95% CI 0.29-0.59). Higher levels of obesity were associated with higher probability of health service use (GP visit Obese, III: OR = 1.42 95% CI 1.04-1.93,) and work productivity loss (number of paid sick leave days, Obese III: OR = 2.40 95% CI 1.94-2.96), compared with normal weight. The impacts of obesity on health service use and work productivity were larger for those with higher percentiles compared to lower percentiles. Overweight and obesity are associated with greater healthcare utilisation, and loss in work productivity in Australia. Australia's healthcare system should prioritise interventions to prevent overweight and obesity to reduce the cost on individuals and improve labour market outcomes.
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Affiliation(s)
- Marie Ishida
- School of Population and Global Health, Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia.
| | - Monique D'Souza
- School of Population and Global Health, Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
| | - Yang Zhao
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
- The George Institute for Global Health at University of New South Wales, Sydney, Australia
| | - Tianxin Pan
- School of Population and Global Health, Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
| | - Will Carman
- School of Population and Global Health, Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
| | - Tilahun Haregu
- School of Population and Global Health, Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
| | - John Tayu Lee
- School of Population and Global Health, Nossal Institute for Global Health, University of Melbourne, Melbourne, Australia
- Department of Primary Care and Public Health, Faculty of Medicine, Imperial College London, London, UK
- Department of Health Service Research, Faculty of Medicine, Australian National University, Canberra, Australia
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Evans M, Anupindi VR, DeKoven M, de Laguiche E, Divino V, Faurby MD, Haase CL, Sommer Matthiessen K, Pearson-Stuttard J. Eight-year trends in obesity-related complications and health care cost progression in a US population with obesity: A retrospective cohort study. Diabetes Obes Metab 2023; 25:536-544. [PMID: 36263756 DOI: 10.1111/dom.14897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/06/2022] [Accepted: 10/17/2022] [Indexed: 02/02/2023]
Abstract
AIMS Obesity-related complications (ORCs) impose a substantial health burden on affected individuals, and economic costs to health care systems. We examined ORCs and the progression of direct health care costs over 8 years, stratified by obesity class. MATERIALS AND METHODS Adults with obesity were identified in linked US medical records and administrative claims databases. The index date was the first body mass index measurement of 30 to <70 kg/m2 between 1 January 2007 and 31 March 2012; a ≥8-year continuous enrolment post-index was required for inclusion. Diagnosis codes for five specific ORCs and total health care costs were recorded in each year of follow-up. Costs adjusted for clinical and demographic factors were also estimated. RESULTS Of 28 583 eligible individuals, 17 892 had class I obesity, 6550 had class II obesity and 4141 had class III obesity. From baseline to year 8, the presence of type 2 diabetes and knee osteoarthritis doubled in all obesity classes, with even larger increases for chronic kidney disease and heart failure. Observed and adjusted total health care costs generally increased from the baseline year to year 8. The difference in costs between obesity classes increased over time: at year 1, individuals with class III obesity had 26.8% higher costs than those in class I, but at year 8, this difference was 40.7%. Outpatient costs constituted half of the total observed costs across obesity classes. CONCLUSIONS ORC rates and health care costs increase over time, and are greater in higher obesity classes. This could be mitigated by approaches that limit obesity progression.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Jonathan Pearson-Stuttard
- Lane Clark & Peacock LLP, London, UK
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Lartey ST, Lung T, Serhal S, Bereznicki L, Bereznicki B, Emmerton L, Bosnic-Anticevich S, Saini B, Billot L, Krass I, Armour C, Jan S. Healthcare expenditure and its socio-demographic and clinical predictors in Australians with poorly controlled asthma. PLoS One 2023; 18:e0279748. [PMID: 36603182 PMCID: PMC9815839 DOI: 10.1371/journal.pone.0279748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 12/01/2022] [Indexed: 01/07/2023] Open
Abstract
INTRODUCTION Asthma has substantial and increasing health and economic burden worldwide. This study aimed to estimate healthcare expenditure and determine the factors that increase expenditure in Australians with poorly controlled asthma. METHODS Individuals ≥18 years of age with poorly controlled asthma, as determined by a score ≥1.5 on the Asthma Control Questionnaire, were included in the study. Healthcare utilization costs from medical services and medications were estimated over an average follow-up of 12 months from administratively linked data: the Medicare Benefits Schedule and Pharmaceutical Benefits Scheme. A generalized linear model with gamma distribution and log link was used to predict participants' key baseline characteristics associated with variations in healthcare costs. RESULTS A total of 341 participants recruited through community pharmacies were included. The mean (standard deviation, SD) age of participants was 56.6 (SD 17.6) years, and approximately 71% were females. The adjusted average monthly healthcare expenditure per participant was $AU386 (95% CI: 336, 436). On top of the average monthly costs, an incremental expenditure was found for each year increase in age ($AU4; 95% CI: 0.78, 7), being unemployed ($AU201; 95% CI: 91, 311), one unit change in worsening quality of life ($AU35; 95% CI: 9, 61) and being diagnosed with depression and anxiety ($AU171; 95% CI: 36, 306). CONCLUSIONS In a cohort of Australian patients, characterized by poor asthma control and co-morbidities individuals impose substantial economic burden in terms of Medicare funded medical services and medications. Programs addressing strategies to improve the quality of life and manage co-morbid anxiety and depression and encourage asthma patients' engagement in clinically tolerable jobs, may result in significant cost savings to the health system.
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Affiliation(s)
- Stella T. Lartey
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, United Kingdom
- NIHR Applied Research Collaboration, East of England, United Kingdom
- * E-mail:
| | - Thomas Lung
- The George Institute for Global Health, Sydney, Australia
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Sarah Serhal
- Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
- School of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia
| | - Luke Bereznicki
- College of Health and Medicine, University of Tasmania, Hobart, Australia
| | | | - Lynne Emmerton
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
| | - Sinthia Bosnic-Anticevich
- Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
- School of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia
| | - Bandana Saini
- Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
- School of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia
| | - Laurent Billot
- The George Institute for Global Health, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ines Krass
- School of Pharmacy, The University of Sydney, Sydney, New South Wales, Australia
| | - Carol Armour
- Woolcock Institute of Medical Research, Sydney, New South Wales, Australia
- Central Sydney Area Health Service, Sydney, New South Wales, Australia
| | - Stephen Jan
- The George Institute for Global Health, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
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Xu J, Tian G, Zhang T, Zhang H, Liu J, Shi Q, Sun J, Wang H, Zhang B, Wu Q, Kang Z. Assessing the income-related inequality in obesity among the elderly in China: A decomposition analysis. Front Public Health 2022; 10:918630. [PMID: 36159301 PMCID: PMC9500363 DOI: 10.3389/fpubh.2022.918630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/22/2022] [Indexed: 01/22/2023] Open
Abstract
Background Obesity among the elderly imposes a significant health and economic burden. The purpose of this study was to measure the obesity prevalence and income-related inequality among older adults in China and to explore the determinants of the inequity. Methods Data were obtained from 4,541 older adults (60 years and older) participating in the China Family Panel Study, 2018. Obesity was defined as body mass index (BMI) ≥28 kg/m2. Normalized concentration index and concentration curve were calculated to measure the income-related inequality. Decomposition analysis was used to measure the contribution of each factor to the overall unfairness. Results The prevalence of obesity among the respondents was 7.99%. The 95% confidence interval for the overall prevalence was 7.20-8.78%. The normalized concentration index of obesity in the elderly was 0.075 (95% confidence interval: 0.047-0.103), indicating that obesity was more concentrated among the rich (p < 0.05). Socioeconomic factors contributed the most to the overall inequality (68.73%). Health behavior factors explained 16.38% of the observed income-related inequality in obesity among the elderly in China. Conclusions In 2018, obesity was more concentrated among the elderly with higher incomes in China. The pro-poor income-related inequality was mainly due to the higher socioeconomic status of higher-income older adults. Health behaviors and psychosocial factors could also exacerbate the inequality. To prevent the heavy burden of obesity on the health and finances of older adults, more attention should be paid to those who are financially better off, especially those who smoke and are physically inactive, while extroverted older adults also need to be focused on. For developing countries, concern needs to be given to the obesity of the wealthy elderly as a result of economic development.
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Affiliation(s)
- Jinpeng Xu
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Guomei Tian
- Department of Nuclear Medicine, The Fourth Hospital of Harbin Medical University, Harbin, China
| | - Ting Zhang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Hongyu Zhang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Jian Liu
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Qi Shi
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Jiale Sun
- Central Office, Xuzhou Center for Disease Control and Prevention, Xuzhou, China
| | - Haixin Wang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Bokai Zhang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Qunhong Wu
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China
| | - Zheng Kang
- Department of Social Medicine, School of Health Management, Harbin Medical University, Harbin, China,*Correspondence: Zheng Kang
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Faber A, Jung CA, Daumann F. An analysis of the effects on labour market success based on weight class membership, with evidence from Germany. J Public Health (Oxf) 2022. [DOI: 10.1007/s10389-022-01711-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Hajek A, Kretzler B, König HH. Prevalence and correlates of obesity among the oldest old. A systematic review, meta-analysis and meta-regression. Geriatr Gerontol Int 2022; 22:373-383. [PMID: 35362258 DOI: 10.1111/ggi.14382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/14/2022] [Accepted: 03/09/2022] [Indexed: 11/26/2022]
Abstract
Thus far, the prevalence and correlates of obesity among the oldest have been identified in several studies. Nevertheless, there is a lack of a systematic review, meta-analysis and meta-regression synthesizing the existing observational studies. Consequently, our aim was to fill this knowledge gap. Three electronic databases were searched (Medline, PsycINFO, CINAHL) and an additional hand search was performed. Observational studies (both, cross-sectional and longitudinal) determining the prevalence and (preferably) the correlates of obesity in the oldest old (≥80 years) were included. Data extraction covered study design, measurement of obesity, analytical approach, sample characteristics and main results. In total, 19 studies were included. Reported prevalence of obesity in the community varied greatly (range 0.7%-71.5%). The pooled prevalence of obesity was 17.8% (95% CI: 13.3%-22.2%), with significant heterogeneity between studies (I2 = 99.7%, P < 0.001). There is evidence of a publication bias. Meta-regressions showed that some of the heterogeneity was explained by the types of measures of obesity and country of the respective sample. In conclusion, obesity remains a key challenge among the oldest old. Future research in this age bracket is urgently required in regions mostly neglected thus far (e.g., South America, Africa or Asia). Moreover, studies based on longitudinal data are required to clarify the determinants of obesity among the oldest old. Furthermore, studies based on objectively recorded obesity (e.g., waist circumference) are also required. Geriatr Gerontol Int 2022; 22: 373-383.
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Affiliation(s)
- André Hajek
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
| | - Benedikt Kretzler
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
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Dios-Guerra C, Carmona-Torres JM, Morales-Cané I, Rodríguez-Borrego MA, López-Soto PJ. Evolution in the use of health services by older people in Spain (2009-2017). HEALTH & SOCIAL CARE IN THE COMMUNITY 2021; 29:e11-e20. [PMID: 33211360 DOI: 10.1111/hsc.13229] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 08/26/2020] [Accepted: 10/24/2020] [Indexed: 06/11/2023]
Abstract
As people age, they tend to increase their use of health services. For this, the aims of this study were to analyse the frequency and variability in the use of different health services by people over 65 years, their evolution from 2009 to 2017 and the factors associated it. We carried out a cross-sectional study with 25,465 people over 65 years who participated in the National Health Survey in Spain in 2011/2012 and 2017 and the European Health Survey in Spain in 2009 and 2014. A descriptive analysis was performed using the attendance records of family/general physicians, nurse consultations, or both over the last 12 months as well as these data over the following years of study. Our findings show that approximately 93.2% of the participants had consulted with a family/general physician over the last year, and women were almost twice as likely to do so compared with men (61.2% vs. 38.8%). The use of health services gradually increased from 2009 to 2017, being the visits to nursing that more increased their frequency. Being a woman and a widower as well as having no higher education, a low social class, a serious or long-term illness, obesity and bed restraint were associated with a greater use of health services. Findings suggested that the increased health services due to ageing and comorbidities associated with it present new challenges. It is necessary to determine realistic plans that can meet future healthcare demands and not lead to a collapse of the health system. For this it is very important the primary prevention of chronic diseases, functional limitations, obesity and disability.
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Affiliation(s)
- Caridad Dios-Guerra
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- Área de Enfermería, Universidad de Córdoba, Córdoba, Spain
- UGC Occidente. Distrito Sanitario Córdoba y Guadalquivir, Córdoba, Spain
| | - Juan Manuel Carmona-Torres
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- Facultad de Fisioterapia y Enfermería, Universidad de Castilla-La Mancha (UCLM), Toledo, Spain
| | - Ignacio Morales-Cané
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- Área de Enfermería, Universidad de Córdoba, Córdoba, Spain
- Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
| | - María Aurora Rodríguez-Borrego
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- Área de Enfermería, Universidad de Córdoba, Córdoba, Spain
- Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
| | - Pablo Jesús López-Soto
- Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC), Córdoba, Spain
- Área de Enfermería, Universidad de Córdoba, Córdoba, Spain
- Hospital Universitario Reina Sofía de Córdoba, Córdoba, Spain
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Hajek A, Kretzler B, König HH. The Association Between Obesity and Social Isolation as Well as Loneliness in the Adult Population: A Systematic Review. Diabetes Metab Syndr Obes 2021; 14:2765-2773. [PMID: 34168476 PMCID: PMC8216698 DOI: 10.2147/dmso.s313873] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 05/27/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Obesity is associated with adverse health outcomes and can result in feelings of loneliness or social isolation, for example due to stigmatization. These factors are in turn associated with morbidity and mortality. Thus far, a systematic review is lacking with regard to the association between obesity, social isolation and loneliness. Therefore, our aim was to fill this gap in knowledge. MATERIALS AND METHODS Three established electronic databases (PubMed, PsycInfo, as well as CINAHL) were searched. Observational studies examining the link between obesity and loneliness or social isolation were included. Disease-specific samples were excluded. RESULTS In sum, six studies have been included. While some studies point to an association between obesity and increased loneliness levels, it should be acknowledged that findings are mixed. Study quality was quite high. CONCLUSION This systematic review showed that the literature is inconclusive and incomplete. Further research is required to shed further light on these associations. Moreover, studies from countries outside Europe, based on longitudinal data and using objective assessments of obesity, are urgently required. Gender differences should be further explored.
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Affiliation(s)
- André Hajek
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
- Correspondence: André Hajek Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Martinistraße 52, Hamburg, 20246, GermanyTel +49 40 7410 52877Fax +49 40 7410-40261 Email
| | - Benedikt Kretzler
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg, 20246, Germany
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Machado RET, Jesus MCPD, Braga VAS, Machado DR, Oliveira DMD, Merighi MAB. Experiences and expectations of obese older people on the care received in the primary health care network. Rev Bras Enferm 2020; 73:e20200438. [PMID: 33175001 DOI: 10.1590/0034-7167-2020-0438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 08/26/2020] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE to understand the experiences and expectations of obese elderly people on the care they received in the primary health care network. METHODS phenomenological study, in which 16 obese elderly people living in a municipality in the state of Minas Gerais, Brazil, were interviewed. Their statements were organized into categories and analyzed according to Alfred Schütz's social phenomenology and thematic literature. RESULTS the following categories emerged: "Care neglected to obese elderly people in the primary health care network", "Group activities as a way to provide primary health care to obese elderly people: a present past", and "Qualified longitudinal care, centered in the needs of obese elderly people". FINAL CONSIDERATIONS offering comprehensive and longitudinal primary health care to obese older people was difficult, and there was instability in the consolidation of public policies, which pointed out the need for effective bonds between different healthcare network services and between professionals and users.
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Health service use by patients with heart failure living in a community setting: a cross-sectional analysis in North West London. Br J Gen Pract 2020; 70:e563-e572. [PMID: 32540872 DOI: 10.3399/bjgp20x711749] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 01/16/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The complex nature of heart failure (HF) management, often involving multidimensional care, is widely recognised, but overall health service utilisation by patients with HF has not previously been described. AIM To describe overall health service use by adults with HF living in a community setting. DESIGN AND SETTING Cross-sectional analysis of prevalent HF cases from January 2015 to December 2018 using an administrative dataset covering primary and secondary care, and 'other' (community, mental health, social care) services in North West London. METHOD Healthcare use of each service was described overall and by individual components of secondary care (such as, outpatient appointments), and 'other' services (such as, nursing contacts). Usage patterns were identified using k-means cluster analysis, using all distinct contacts for the whole study period, and visualised with a heatmap. RESULTS A total of 39 301 patients with a prevalent diagnosis of HF between 1 January 2015 and 31 December 2018 were found. Of those, approximately 90% used health services during the study period, most commonly outpatient services, GP consultations, unplanned accident and emergency visits, and community services. Use of cardiology-specific services ranged from around 3% (cardiology-related community care) to around 20% (outpatient cardiology visits). GP consultations decreased by 11% over the study period. Five clusters of patients were identified, each with statistically significantly different care usage patterns and patient characteristics. CONCLUSION Patients with HF make heavy but heterogeneous use of services. Relatively low and falling use of GP consultations, and the apparently low uptake of community rehabilitation services by patients with HF, is concerning and suggests challenges in primary care access and integration of care.
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Hajek A, Brettschneider C, van der Leeden C, Lühmann D, Oey A, Wiese B, Weyerer S, Werle J, Fuchs A, Pentzek M, Röhr S, Löbner M, Mösch E, Bickel H, Heser K, Wagner M, Scherer M, Maier W, Riedel-Heller SG, König HH. Prevalence and factors associated with obesity among the oldest old. Arch Gerontol Geriatr 2020; 89:104069. [PMID: 32413689 DOI: 10.1016/j.archger.2020.104069] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 03/30/2020] [Accepted: 04/03/2020] [Indexed: 01/06/2023]
Abstract
PURPOSE To determine the prevalence of overweight and obesity, and to identify factors associated with obesity, among the oldest old. METHODS For this study, data from follow-up (FU) wave 7 and FU wave 8 of the "Study on Needs, Health Service Use, Costs and Health-Related Quality of Life in a Large Sample of Oldest-Old Primary Care Patients (85+)" (AgeQualiDe) were used. At FU wave 7, the mean age was 88.9 years (SD: 2.9; 85-100 years). Body-mass-index (BMI) categories were defined according to the World Health Organization (WHO) thresholds: underweight (BMI < 18.5 kg/m²), normal weight (18.5 kg/m² ≤ BMI < 25 kg/m²), overweight (25 kg/m² ≤ BMI < 30 kg/m²), and obesity (BMI ≥ 30 kg/m²). Longitudinal regression analysis was used to determine factors associated with obesity. RESULTS At FU wave 7, 3.0 % were underweight, 48.9 % were normal weight, 37.9 % were overweight, and 10.2 % were obese. Regressions showed that the probability of obesity decreased with age (OR: 0.77 [95 % CI: .593-.999]) and less chronic conditions (OR: 1.32 [95 % CI: 1.11-1.57]). The probability of obesity was not associated with sex, educational level, marital status, social isolation, visual impairment, hearing impairment, depression, and dementia. CONCLUSION Nearly half of the individuals in very late life had excess weight. Thus, excess weight remains a major challenge, even in very old age. Given the demographic ageing in upcoming decades, this is an issue which we should be aware of.
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Affiliation(s)
- André Hajek
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany.
| | - Christian Brettschneider
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany
| | - Carolin van der Leeden
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany
| | - Dagmar Lühmann
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany
| | - Anke Oey
- Institute of General Practice, Hannover Medical School, Germany
| | - Birgitt Wiese
- Institute of General Practice, Hannover Medical School, Germany
| | - Siegfried Weyerer
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Jochen Werle
- Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
| | - Angela Fuchs
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany
| | - Michael Pentzek
- Institute of General Practice, Medical Faculty, Heinrich-Heine-University Düsseldorf, Germany
| | - Susanne Röhr
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany
| | - Margrit Löbner
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany; Leipzig University Medical Center, IFB AdiposityDiseases, Leipzig, Germany
| | - Edelgard Mösch
- Department of Psychiatry, Technical University of Munich, Germany
| | - Horst Bickel
- Department of Psychiatry, Technical University of Munich, Germany
| | - Kathrin Heser
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Martin Scherer
- Department of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center, Hamburg-Eppendorf, Germany
| | - Wolfgang Maier
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University of Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Germany
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Lartey ST, de Graaff B, Magnussen CG, Boateng GO, Aikins M, Minicuci N, Kowal P, Si L, Palmer AJ. Health service utilization and direct healthcare costs associated with obesity in older adult population in Ghana. Health Policy Plan 2019; 35:199-209. [DOI: 10.1093/heapol/czz147] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2019] [Indexed: 12/23/2022] Open
Abstract
Abstract
Obesity is a major risk factor for many chronic diseases and disabilities, with severe implications on morbidity and mortality among older adults. With an increasing prevalence of obesity among older adults in Ghana, it has become necessary to develop cost-effective strategies for its management and prevention. However, developing such strategies is challenging as body mass index (BMI)-specific utilization and costs required for cost-effectiveness analysis are not available in this population. Therefore, this study examines the associations between health services utilization as well as direct healthcare costs and overweight (BMI ≥25.00 and <30.00 kg/m2) and obesity (BMI ≥30.00 kg/m2) among older adults in Ghana. Data were used from a nationally representative, multistage sample of 3350 people aged 50+ years from the World Health Organization’s Study on global AGEing and adult health (WHO-SAGE; 2014/15). Health service utilization was measured by the number of health facility visits over a 12-month period. Direct costs (2017 US dollars) included out-of-pocket payments and the National Health Insurance Scheme (NHIS) claims. Associations between utilization and BMI were examined using multivariable zero-inflated negative binomial regressions; and between costs and BMI using multivariable two-part regressions. Twenty-three percent were overweight and 13% were obese. Compared with normal-weight participants, overweight and obesity were associated with 75% and 159% more inpatient admissions, respectively. Obesity was also associated with 53% additional outpatient visits. One in five of the overweight and obese population had at least one chronic disease, and having chronic disease was associated with increased outpatient utilization. The average per person total costs for overweight was $78 and obesity was $132 compared with $35 for normal weight. The NHIS bore approximately 60% of the average total costs per person expended in 2014/15. Overweight and obese groups had significantly higher total direct healthcare costs burden of $121 million compared with $64 million for normal weight in the entire older adult Ghanaian population. Compared with normal weight, the total costs per person associated with overweight increased by 73% and more than doubled for obesity. Even though the total prevalence of overweight and obesity was about half of that of normal weight, the sum of their cost burden was almost doubled. Implementing weight reduction measures could reduce health service utilization and costs in this population.
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Affiliation(s)
- Stella T Lartey
- Menzies Institute for Medical Research, University of Tasmania, Medical Sciences 2 Building, 17 Liverpool Street, Hobart 7000, Tasmania, Australia
| | - Barbara de Graaff
- Menzies Institute for Medical Research, University of Tasmania, Medical Sciences 2 Building, 17 Liverpool Street, Hobart 7000, Tasmania, Australia
| | - Costan G Magnussen
- Menzies Institute for Medical Research, University of Tasmania, Medical Sciences 2 Building, 17 Liverpool Street, Hobart 7000, Tasmania, Australia
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku FI-20014, Finland
| | - Godfred O Boateng
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Moses Aikins
- School of Public Health, University of Ghana, Accra LG 13, Ghana
| | - Nadia Minicuci
- National Research Council, Neuroscience Institute, Via Giustiniani, 2 35128 Padova, Italy
| | - Paul Kowal
- World Health Organization (WHO), Avenue Appia 20, 1211 Genève, Switzerland
- University of Newcastle Research Centre for Generational Health and Ageing, Newcastle, New South Wales 2305, Australia
| | - Lei Si
- The George Institute for Global Health, University of New South Wales, Kensington, NSW 2042, Australia
| | - Andrew J Palmer
- Menzies Institute for Medical Research, University of Tasmania, Medical Sciences 2 Building, 17 Liverpool Street, Hobart 7000, Tasmania, Australia
- Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria 3053, Australia
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Peralta M, Ramos M, Lipert A, Martins J, Marques A. Prevalence and trends of overweight and obesity in older adults from 10 European countries from 2005 to 2013. Scand J Public Health 2018; 46:522-529. [DOI: 10.1177/1403494818764810] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Aims: Overweight and obesity are clinical public-health concerns worldwide. Amongst older adults, the prevalence of overweight and obesity is considered high. The purpose of this study was to provide current data regarding the prevalence and trends of overweight and obesity of adults from 2005 to 2013 in 10 European countries. Methods: The data used in the present study were derived from the first, second, fourth and fifth waves of the Survey of Health, Ageing and Retirement in Europe. The present study includes individuals aged ⩾50 years from 10 European countries. Body mass index (BMI) was calculated from self-reported height and weight (kg/m2). Results: The general prevalence of overweight (BMI ⩾25 kg/m2) was slightly above 60% and remained stable between 2005 (60.1%, 95% confidence interval (CI): 59.3–60.9%) and 2013 (60.3%, 95% CI: 59.7–60.9%). On the other hand, the prevalence of obesity (BMI ⩾30 kg/m2) increased significantly (1.6 points, 95% CI: 0.7–2.6) from 17.5% in 2005 to 19.2% in 2013. Although the prevalence of obesity increased in most countries, the only significant increase was observed in Germany (5.8 points, 95% CI: 1.8–9.9). Spain was the only country where the prevalence of obesity decreased significantly (−4.7 points, 95% CI: −8.8 to −0.5). Sex and age differences are reported. Conclusions: Although the prevalence of overweight was stable, the prevalence of obesity rose. Based on the data currently available for Europe, the prevalence of obesity in European older adults has already reached epidemic proportions, which reinforces the need for the development of effective healthy lifestyle programs.
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Affiliation(s)
- Miguel Peralta
- Centro Interdisciplinar de Estudo da Performance Humana, Faculdade de Motricidade Humana, Universidade de Lisboa, Portugal
| | - Madalena Ramos
- Centro de Investigação e Estudos de Sociologia, Escola de Sociologia e Políticas Públicas, Instituto Universitário de Lisboa, Portugal
| | - Anna Lipert
- Department of Sports Medicine, Medical University of Lodz, Poland
| | - João Martins
- Laboratório de Pedagogia, Faculdade de Motricidade Humana e UIDEF, Instituto de Educação, Universidade de Lisboa, Portugal
- Faculdade de Educação Física e Desporto, Universidade Lusófona de Humanidades e Tecnologias, Portugal
| | - Adilson Marques
- Centro Interdisciplinar de Estudo da Performance Humana, Faculdade de Motricidade Humana, Universidade de Lisboa, Portugal
- Centro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Portugal
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15
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Kent S, Fusco F, Gray A, Jebb SA, Cairns BJ, Mihaylova B. Body mass index and healthcare costs: a systematic literature review of individual participant data studies. Obes Rev 2017; 18:869-879. [PMID: 28544197 DOI: 10.1111/obr.12560] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 03/15/2017] [Accepted: 03/31/2017] [Indexed: 11/28/2022]
Abstract
Excess weight is associated with increased total healthcare costs, but it is less well known how the associations between excess weight and costs vary across different types of healthcare service. We reviewed studies using individual participant data to estimate associations between body mass index and healthcare costs, and summarized how annual healthcare costs for overweight (body mass index 25 to <30 kg/m2 ) and obese (≥30 kg/m2 ) individuals compared with those for healthy weight individuals (18.5 to <25 kg/m2 ). EMBASE and MEDLINE were searched from January 1990 to September 2016, and 75 studies were included in the review. Of these, 34 studies presented adequate information to contribute to a quantitative summary of results. Compared with individuals at healthy weight, the median increases in mean total annual healthcare costs were 12% for overweight and 36% for obese individuals. The percentage increases in costs were highest for medications (18% for overweight and 68% for obese), followed by inpatient care (12% and 34%) and ambulatory care (4% and 26%). Percentage increases in costs associated with obesity were higher for women than men. The substantial costs associated with excess weight in different healthcare settings emphasize the need for investment to tackle this major public health problem.
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Affiliation(s)
- Seamus Kent
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Francesco Fusco
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Alastair Gray
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Susan A Jebb
- Nuffield Department of Primary Care Health Services, University of Oxford, Oxford, UK
| | - Benjamin J Cairns
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Borislava Mihaylova
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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16
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Tremmel M, Gerdtham UG, Nilsson PM, Saha S. Economic Burden of Obesity: A Systematic Literature Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:E435. [PMID: 28422077 PMCID: PMC5409636 DOI: 10.3390/ijerph14040435] [Citation(s) in RCA: 588] [Impact Index Per Article: 84.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2017] [Revised: 04/13/2017] [Accepted: 04/16/2017] [Indexed: 02/06/2023]
Abstract
Background: The rising prevalence of obesity represents an important public health issue. An assessment of its costs may be useful in providing recommendations for policy and decision makers. This systematic review aimed to assess the economic burden of obesity and to identify, measure and describe the different obesity-related diseases included in the selected studies. Methods: A systematic literature search of studies in the English language was carried out in Medline (PubMed) and Web of Science databases to select cost-of-illness studies calculating the cost of obesity in a study population aged ≥18 years with obesity, as defined by a body mass index of ≥30 kg/m², for the whole selected country. The time frame for the analysis was January 2011 to September 2016. Results: The included twenty three studies reported a substantial economic burden of obesity in both developed and developing countries. There was considerable heterogeneity in methodological approaches, target populations, study time frames, and perspectives. This prevents an informative comparison between most of the studies. Specifically, there was great variety in the included obesity-related diseases and complications among the studies. Conclusions: There is an urgent need for public health measures to prevent obesity in order to save societal resources. Moreover, international consensus is required on standardized methods to calculate the cost of obesity to improve homogeneity and comparability. This aspect should also be considered when including obesity-related diseases.
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Affiliation(s)
- Maximilian Tremmel
- Institute for Medical Informatics, Biometry and Epidemiology (IBE), LMU Munich, 81377 Bavaria, Germany.
| | - Ulf-G Gerdtham
- Health Economics Unit, Department of Clinical Sciences, Lund University, 22381 Lund, Sweden.
- Centre for Primary Health Care Research, Faculty of Medicine, Lund University/Region Skåne, Skåne University Hospital, S-22241 Lund, Skåne, Sweden.
- Department of Economics, Lund University, S-22363 Lund, Skåne, Sweden.
| | - Peter M Nilsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, S-20502 Malmö, Skåne, Sweden.
| | - Sanjib Saha
- Health Economics Unit, Department of Clinical Sciences, Lund University, 22381 Lund, Sweden.
- Centre for Primary Health Care Research, Faculty of Medicine, Lund University/Region Skåne, Skåne University Hospital, S-22241 Lund, Skåne, Sweden.
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17
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Abstract
Zusammenfassung:
In Deutschland ist mehr als die Hälfte der Erwachsenen übergewichtig, fast ein Viertel ist adipös. Als Risikofaktor für viele Erkrankungen geht Übergewicht mit einer hohen individuellen Krankheitslast und, infolge dessen, erhöhten Versorgungskosten und Produktivitätsverlusten einher. Aufgrund der hohen Krankheitslast und weiten Verbreitung gehört Übergewicht zu den relevantesten Risikofaktoren in Deutschland. Der Beitrag konzentriert sich auf die gesundheitsökonomischen Folgen des Übergewichtes.
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Affiliation(s)
- Thomas Lehnert
- Universitätsklinikum Hamburg-Eppendorf, Institut für Gesundheitsökonomie und Versorgungsforschung
| | - Alexander Konnopka
- Universitätsklinikum Hamburg-Eppendorf, Institut für Gesundheitsökonomie und Versorgungsforschung
| | - Hans-Helmut König
- Universitätsklinikum Hamburg-Eppendorf, Institut für Gesundheitsökonomie und Versorgungsforschung
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19
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Bock JO, König HH, Brenner H, Haefeli WE, Quinzler R, Matschinger H, Saum KU, Schöttker B, Heider D. Associations of frailty with health care costs--results of the ESTHER cohort study. BMC Health Serv Res 2016; 16:128. [PMID: 27074800 PMCID: PMC4831082 DOI: 10.1186/s12913-016-1360-3] [Citation(s) in RCA: 167] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 03/23/2016] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The concept of frailty is rapidly gaining attention as an independent syndrome with high prevalence in older adults. Thereby, frailty is often related to certain adverse outcomes like mortality or disability. Another adverse outcome discussed is increased health care utilization. However, only few studies examined the impact of frailty on health care utilization and corresponding costs. The aim of this study was therefore to investigate comprehensively the relationship between frailty, health care utilization and costs. METHODS Cross sectional data from 2598 older participants (57-84 years) recruited in the Saarland, Germany, between 2008 and 2010 was used. Participants passed geriatric assessments that included Fried's five frailty criteria: weakness, slowness, exhaustion, unintentional weight loss, and physical inactivity. Health care utilization was recorded in the sectors of inpatient treatment, outpatient treatment, pharmaceuticals, and nursing care. RESULTS Prevalence of frailty (≥3 symptoms) was 8.0%. Mean total 3-month costs of frail participants were €3659 (4 or 5 symptoms) and €1616 (3 symptoms) as compared to €642 of nonfrail participants (no symptom). Controlling for comorbidity and general socio-demographic characteristics in multiple regression models, the difference in total costs between frail and non-frail participants still amounted to €1917; p < .05 (4 or 5 symptoms) and €680; p < .05 (3 symptoms). Among the 5 symptoms of frailty, weight loss and exhaustion were significantly associated with total costs after controlling for comorbidity. CONCLUSIONS The study provides evidence that frailty is associated with increased health care costs. The analyses furthermore indicate that frailty is an important factor for health care costs independent from pure age and comorbidity. Costs were rather attributable to frailty (and comorbidity) than to age. This stresses that the overlapping concepts of multimorbidity and frailty are both necessary to explain health care use and corresponding costs among older adults.
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Affiliation(s)
- Jens-Oliver Bock
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, Heidelberg, 69120, Germany.,Network Aging Research, University of Heidelberg, Bergheimer Straße 20, Heidelberg, 69115, Germany
| | - Walter E Haefeli
- Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany
| | - Renate Quinzler
- Department of Clinical Pharmacology and Pharmacoepidemiology, University of Heidelberg, Im Neuenheimer Feld 410, Heidelberg, 69120, Germany
| | - Herbert Matschinger
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany.,Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Philipp-Rosenthal-Strasse 55, Leipzig, 04103, Germany
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, Heidelberg, 69120, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, Heidelberg, 69120, Germany
| | - Dirk Heider
- Department of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, Hamburg, 20246, Germany
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20
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Gupta S, Richard L, Forsythe A. The humanistic and economic burden associated with increasing body mass index in the EU5. Diabetes Metab Syndr Obes 2015; 8:327-38. [PMID: 26229497 PMCID: PMC4516187 DOI: 10.2147/dmso.s83696] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES This study evaluated the association of body mass index (BMI) with health-related quality of life (HRQoL), health utilities, health care resource utilization, productivity, activity impairment, and the associated costs. METHODS Results were from the 2013 EU5 (France, Germany, Italy, Spain, UK) National Health and Wellness Survey, a nationally representative, online survey of respondents aged ≥18 years. Analyses focused on normal weight (BMI ≥18.5 kg/m(2) and BMI <25 kg/m(2)), overweight (BMI ≥25 kg/m(2) and BMI <30 kg/m(2)), Obese Class (OC) I (BMI ≥30 kg/m(2) and BMI <35 kg/m(2)), OC II (BMI ≥35 kg/m(2) and BMI <40 kg/m(2)), and OC III (BMI ≥40 kg/m(2)) respondents. Outcomes included HRQoL (Short Form [SF]-36v2), health utilities (SF-six dimension [6D]), productivity loss (Work Productivity and Activity Impairment questionnaire), and resource utilization (provider visits, emergency room visits, and hospitalizations) in the past 6 months. Direct and indirect costs were estimated from the literature. Generalized linear regression models predicted outcomes as a function of BMI, adjusting for covariates (age, sex, comorbidities). RESULTS Among 58,364 respondents, 46.9% were normal weight, 34.5% were overweight, 12.5% were OC I, 4.0% were OC II, and 2.1% were OC III. Metabolic comorbidities increased as BMI increased. After adjustments, all three OC respondents exhibited significantly lower HRQoL than normal weight respondents. Health utilities (normal weight: 0.720; overweight: 0.718; OC I: 0.703; OC II: 0.683; OC III: 0.662) declined with an increase in BMI (all P<0.05 vs normal). Among employed respondents (57.7%), overall work impairment increased as BMI increased. Normal (vs all OCs) had lower activity impairment and fewer provider visits, lower indirect costs (normal weight: €7,974; overweight: €7,825; OC I: €8,465; OC II: €9,394; OC III: €10,437), and lower total direct costs (normal weight: €516; overweight: €553; OC I: €583; OC II: €605; OC III: €717), all P<0.05. CONCLUSION Increased BMI was associated with worse HRQoL, greater comorbidities, higher direct and indirect costs, and worse health utilities. Weight management may improve patient outcomes.
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Affiliation(s)
- Shaloo Gupta
- Kantar Health, Princeton, NJ, USA
- Correspondence: Shaloo Gupta, Health Outcomes Practice, Kantar Health, 1 Independence Way, Suite 220, Princeton, NJ 08540, USA, Tel +1 609 720 5484, Fax +1 609 987 5514, Email
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