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Vijenthira A, Calzavara A, Nagamuthu C, Kaliwal Y, Liu N, Blunt D, Alibhai S, Prica A, Cheung MC, Mozessohn L. Health care utilization and costs for frail vs nonfrail patients with diffuse large B-cell lymphoma. Blood Adv 2024; 8:4625-4632. [PMID: 39024541 PMCID: PMC11401182 DOI: 10.1182/bloodadvances.2024013158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/17/2024] [Accepted: 07/11/2024] [Indexed: 07/20/2024] Open
Abstract
ABSTRACT Half of older patients with diffuse large B-cell lymphoma (DLBCL) receiving curative-intent treatment are frail. Understanding the differences in health care utilization including costs between frail and nonfrail patients can inform appropriate models of care. A retrospective cohort study was conducted using population-based data in Ontario, Canada. Patients aged ≥66 years with DLBCL who received frontline curative-intent chemoimmunotherapy between 2006 and 2017 were included. Frailty was defined using a cumulative deficit-based frailty index. Health care utilization and costs were grouped into 5 phases: (1) 90 days preceding first treatment; (2) early treatment (0 to +90 days after starting treatment); (3) late treatment (+91 to +180 days); (4) follow-up (+181 to -181 days before death); and (5) end of life (last 180 days before death). Costs were standardized to 30-day intervals (2019 Canadian dollars). A total of 5527 patients were included (median age, 75 years; 48% female). A total of 2699 patients (49%) were classified as frail. The median costs for frail vs nonfrail patients per 30 days based on phase of care were (1) $5683 vs $2586 ; (2) $13 090 vs $11 256; (3) $5734 vs $4883; (4) $1138 vs $686; and (5) $11 413 vs $9089; statistically significant in all phases. In multivariable modeling, frail patients had higher rates of emergency department visits and hospitalizations and increased costs than nonfrail patients through all phases except end-of-life phase. During end-of-life phase, a substantial portion of patients (n = 2569 [84%]) required admission to hospital; 684 (27%) required intensive care unit admission. Future work could assess whether certain hospitalizations are preventable, particularly for patients identified as frail.
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Affiliation(s)
- Abi Vijenthira
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | | | | | | | - Ning Liu
- Cancer Research Program, ICES, Toronto, ON, Canada
| | - Danielle Blunt
- Division of Hematology, Royal Adelaide Hospital, Adelaide, SA, Australia
| | - Shabbir Alibhai
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Division of General Internal Medicine and Geriatrics, University Health Network, Toronto, ON, Canada
| | - Anca Prica
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Matthew C. Cheung
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Cancer Research Program, ICES, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Sunnybrook Odette Cancer Centre, Toronto, ON, Canada
| | - Lee Mozessohn
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- Cancer Research Program, ICES, Toronto, ON, Canada
- Division of Medical Oncology and Hematology, Sunnybrook Odette Cancer Centre, Toronto, ON, Canada
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Guo Y, Miao X, Hu J, Chen L, Chen Y, Zhao K, Xu T, Jiang X, Zhu H, Xu X, Xu Q. Summary of best evidence for prevention and management of frailty. Age Ageing 2024; 53:afae011. [PMID: 38300725 DOI: 10.1093/ageing/afae011] [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: 05/17/2023] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Frailty in older people can seriously affect their quality of life and increase the demand for long-term care and health care expenses. Aims of this study are to provide an evidence-based basis for clinical practice of frailty in older people by systematically searching for the best current evidence on interventions for the prevention and management of frailty. METHODS According to the '6S' evidence resource model, evidence retrieval is searched from the top-down and collected relevant guidelines, best practices, evidence summaries, systematic reviews and expert consensus. The retrieval time limit was from the database establishment to 20 March 2023. Two reviewers independently screened and evaluated the literature, and then extracted and summarised the evidence according to the JBI grading of evidence and recommendation system. RESULTS A total of 44 publications were finally included, including 12 guidelines, 5 best practices, 4 expert consensus, 5 evidence summaries and 18 systematic reviews. Through the induction and integration of the evidence, the evidence was finally summarised from eight aspects: frailty screening, frailty assessment, exercise intervention, nutrition intervention, multi-domain intervention, drug administration, social support and health education, and 43 best evidences were formed. CONCLUSIONS This study summarised the best evidence for the prevention and management of frailty from eight aspects, which can provide guidance for clinical or community medical staff to develop and apply frailty intervention and practice programmes for older people and improved the clinical outcome and quality of life of older people.
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Affiliation(s)
- Yinning Guo
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Xueyi Miao
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Jieman Hu
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Li Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China
| | - Yimeng Chen
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Kang Zhao
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Ting Xu
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Xiaoman Jiang
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Hanfei Zhu
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
| | - Xinyi Xu
- Faculty of Health, Queensland University of Technology, Brisbane 4059, Australia
| | - Qin Xu
- School of Nursing, Nanjing Medical University, Nanjing 211166, China
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Elias TCN, Jacklin C, Bowen J, Lasserson DS, Pendlebury ST. Care pathways in older patients seen in a multidisciplinary same day emergency care (SDEC) unit. Age Ageing 2024; 53:afad257. [PMID: 38275098 PMCID: PMC10811520 DOI: 10.1093/ageing/afad257] [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: 05/01/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Same day emergency care (SDEC) services are being advocated in the UK for frail, older patients in whom hospitalisation may be associated with harm but there are few data on the 'ambulatory pathway'. We therefore determined the patient pathways pre- and post-first assessment in a SDEC unit focussed on older people. METHODS In consecutive patients, we prospectively recorded follow-up SDEC service reviews (face-to-face, telephone, Hospital-at-Home domiciliary visits), outpatient referrals (e.g. to specialist clinics, imaging, and community/voluntary/social services), and hospital admissions <30 days. In the first 67 patients, we also recorded healthcare interactions (except GP attendances) in the 180 days pre- and post-first assessment. RESULTS Among 533 patients (mean/SD age = 75.0/17.5 years, 246, 46% deemed frail) assessed in an SDEC unit, 210 were admitted within 30 days (152 immediately). In the 381(71%) remaining initially ambulatory, there were 587 SDEC follow-up reviews and 747 other outpatient referrals (mean = 3.5 per patient) with only 34 (9%) patients being discharged with no further follow-up. In the subset (n = 67), the number of 'healthcare days' was greater in the 180 days post- versus pre-SDEC assessment (mean/SD = 26/27 versus 13/22 days, P = 0.003) even after excluding hospital admission days, with greater healthcare days in frail versus non-frail patients. DISCUSSION AND CONCLUSION SDEC assessment in older, frail patients was associated with a 2-fold increase in frequency of healthcare interactions with complex care pathways involving multiple services. Our findings have implications for the development of admission-avoidance models including cost-effectiveness and optimal delivery of the multi-dimensional aspects of acute geriatric care in the ambulatory setting.
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Affiliation(s)
- Tania C N Elias
- Departments of Acute Internal Medicine and Older Persons' Services, Great Western Hospital NHS Foundation Trust, Swindon SN3 6BB, UK
| | - Chloe Jacklin
- Departments of Care of the Elderly and Stroke Medicine, North Middlesex University Hospital NHS Trust, Sterling Way, London N18 1QX, UK
| | - Jordan Bowen
- Department of Acute Internal Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Daniel S Lasserson
- Department of Acute Internal Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
- NIHR Applied Research Collaboration (ARC) West Midlands, Warwick Medical School, University of Warwick, Coventry, Warwickshire CV4 3AL, UK
- Department of Acute Medicine, City Hospital, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham B18 7QH, UK
| | - Sarah T Pendlebury
- Department of Acute Internal Medicine and Geratology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 9DU, UK
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford OX3 9DU, UK
- Nuffield Department of Clinical Neurosciences, Wolfson Centre for Prevention of Stroke and Dementia, John Radcliffe Hospital, and the University of Oxford, Oxford, UK
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Pérez-Zepeda MU. Association of frailty with the use of health services in older adults: a secondary analysis of the Mexican Health and Aging Study. GAC MED MEX 2024; 160:17-22. [PMID: 38753570 PMCID: PMC11603387 DOI: 10.24875/gmm.m24000853] [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: 06/09/2023] [Accepted: 01/16/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Frailty has been related to adverse outcomes, but evidence on its association with the use of health services is still scarce. OBJECTIVE The purpose of this work was to determine the association of frailty with the use of health services in Mexican adults older than 60 years. MATERIAL AND METHODS Analysis of the Mexican Health and Aging Study for the years 2015 (baseline) and 2018 (follow-up). Frailty was defined with the frailty index. The following outcomes were included: hospitalization, medical visits, major surgery, minor surgical procedures, and dental visits. Competing risk and count analyses (negative binomial regression) were performed. RESULTS A total of 8,526 individuals were included, whose average age was 70.8%; 55.8% corresponded to the female gender. According to the results, hospitalization days and the number of minor procedures were associated with frailty. CONCLUSIONS Frailty could be useful in the planning of health services for older adults. On the other hand, its evaluation would allow prioritizing care for those who are at higher risk of adverse outcomes.
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Affiliation(s)
- Mario U Pérez-Zepeda
- Directorate of Research, Instituto Nacional de Geriatría, Mexico City; Centro de Investigación en Ciencias de la Salud (CICSA), Faculty of Health Sciences, Universidad Anáhuac México, Campus Norte, Huixquilucan, State of Mexico. Mexico
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Dimitrow M, Saarenmaa R, Airaksinen M, Hassan G, Puumalainen E, Pitrová M, Kivelä SL, Fialová D, Puustinen J, Toivo T. Medication risk checklist for older adults (LOTTA) - development and validation of a self-assessment tool. Ann Med 2023; 55:2287707. [PMID: 38035545 PMCID: PMC10732188 DOI: 10.1080/07853890.2023.2287707] [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: 08/18/2023] [Accepted: 11/20/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Patient safety strategies highlight patients' own active involvement in ensuring medication safety. A prerequisite for involving patients in their medication therapy is having tools that can assist them in ensuring safe medicine use. Older home-dwelling adults with multiple medications are at high risk for medication-related problems, yet only a few age-specific patient self-administered medication risk screening tools exist. This study aimed to develop, validate, and assess the feasibility of a self-administered medication risk checklist for home-dwelling older adults ≥65 years. MATERIALS AND METHODS The draft checklist was formed based on a validated practical nurse-administered Drug Related Problem Risk Assessment Tool supplemented with findings from two systematic literature reviews. The content validity of the draft checklist was determined by a three-round Delphi survey with a panel of 19 experts in geriatric care and pharmacotherapy. An agreement of ≥80% was required. A feasibility assessment (i.e. understandability of the items, fill-out time of the checklist) of the content-validated checklist was conducted among older adults ≥65 years (n = 87) visiting community pharmacies (n = 4). Data were analysed using qualitative content analysis. RESULTS The final validated and feasibility-tested Medication Risk Checklist (LOTTA) for home-dwelling older adults consists of eight items screening the highest priority systemic risks (three items), potentially drug-induced symptoms (one item), adherence, and self-management problems (four items). The checklist proved feasible for self-administration, the mean fill-out time being 6.1 min. CONCLUSIONS A wide range of potential medication risks related to the medication use process can be identified by patient self-assessment. Screening tools such as LOTTA can enhance early detection of potential medication risks and risk communication between older adults and their healthcare providers. A wider and more integrated use of the checklist could be facilitated by making it electronically available as part of the patient information systems.
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Affiliation(s)
- Maarit Dimitrow
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Roosa Saarenmaa
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Marja Airaksinen
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Ghada Hassan
- Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Emmi Puumalainen
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Markéta Pitrová
- Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Králové, Charles University, Prague, Czech Republic
- Clinical Pharmacy Department, University Hospital Královské Vinohrady, Prague, Czech Republic
| | - Sirkka-Liisa Kivelä
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
- Faculty of Medicine, Department of Clinical Medicine, Unit of Family Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Daniela Fialová
- Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Králové, Charles University, Prague, Czech Republic
- Department of Geriatrics and Gerontology, 1st Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Juha Puustinen
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
- Service Unit of Neurology, Satasairaala Central Hospital, Wellbeing County of Satakunta, Pori, Finland
| | - Terhi Toivo
- Division of Pharmacology and Pharmacotherapy, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
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Arponen O, Ikonen JN, Kajantie E, Eriksson JG, Haapanen MJ. Frailty in Late Midlife to Old Age and Its Relationship to Medical Imaging Use and Imaging-related Costs: A Longitudinal Study. Radiology 2023; 309:e230283. [PMID: 37987666 DOI: 10.1148/radiol.230283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Background Frailty, defined as an increased vulnerability to and impaired recovery from stressors, is common in individuals in late midlife to old age. While frailty predisposes individuals to adverse health outcomes and increased health care utilization, how it impacts imaging service use and related costs remains unclear. Purpose To determine whether frailty is associated with greater use of imaging services and higher imaging-related costs. Materials and Methods This longitudinal study included a subset of participants from the Helsinki Birth Cohort Study who were clinically assessed up to three times from late midlife to old age between August 2001 and September 2018. A frailty index (FI) based on 41 variables was calculated, and an FI of 0.25 or more indicated frailty. Associations of baseline frailty and its rate of change during the study with medical imaging service use and imaging-related costs were assessed using covariate-adjusted negative binomial and other generalized linear models. Results Of the 1995 participants (mean age, 61.5 years ± 2.9 [SD]; 1074 female participants) included in this study, 569 (28.5%) were identified as frail at baseline, and these participants underwent 10 677 (42.4%) of the 25 172 medical imaging examinations among the participants. Compared to participants who were not frail at baseline, participants who were frail at baseline showed increased use of all imaging modalities (incidence rate ratio [IRR], 2.28 [95% CI: 1.97, 2.64]; P < .001) and higher imaging costs (log annual cost, 3.26 [95% CI: 2.36, 4.50]; P < .001). Compared to participants with stable or slow change in frailty (<0.0010 FI units per year), participants with a rapid increase in frailty (>0.0064 FI units per year) from late midlife to old age showed greater use of all medical imaging services, independent of FI at baseline (IRR, 1.82 [95% CI: 1.53, 2.17]; P < .001) and had higher imaging costs (log annual cost, 1.62 [95% CI: 1.30, 2.01)]; P < .001). Conclusion The presence of frailty and its progression rate are associated with increased use of imaging services and higher imaging-related costs. © RSNA, 2023 Supplemental material is available for this article.
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Affiliation(s)
- Otso Arponen
- From the Department of Radiology, Tampere University Hospital, Kuntokatu 2, 33520 Tampere, Finland (O.A.); Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (O.A.); Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Folkhälsan Research Center, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland (J.N.I., E.K.); Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland (E.K.); Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway (E.K.); Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland (E.K.); Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore (J.G.E.); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (J.G.E.); and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden (M.J.H.)
| | - Jenni N Ikonen
- From the Department of Radiology, Tampere University Hospital, Kuntokatu 2, 33520 Tampere, Finland (O.A.); Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (O.A.); Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Folkhälsan Research Center, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland (J.N.I., E.K.); Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland (E.K.); Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway (E.K.); Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland (E.K.); Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore (J.G.E.); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (J.G.E.); and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden (M.J.H.)
| | - Eero Kajantie
- From the Department of Radiology, Tampere University Hospital, Kuntokatu 2, 33520 Tampere, Finland (O.A.); Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (O.A.); Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Folkhälsan Research Center, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland (J.N.I., E.K.); Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland (E.K.); Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway (E.K.); Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland (E.K.); Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore (J.G.E.); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (J.G.E.); and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden (M.J.H.)
| | - Johan G Eriksson
- From the Department of Radiology, Tampere University Hospital, Kuntokatu 2, 33520 Tampere, Finland (O.A.); Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (O.A.); Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Folkhälsan Research Center, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland (J.N.I., E.K.); Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland (E.K.); Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway (E.K.); Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland (E.K.); Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore (J.G.E.); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (J.G.E.); and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden (M.J.H.)
| | - Markus J Haapanen
- From the Department of Radiology, Tampere University Hospital, Kuntokatu 2, 33520 Tampere, Finland (O.A.); Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland (O.A.); Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Folkhälsan Research Center, Helsinki, Finland (J.N.I., J.G.E., M.J.H.); Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland (J.N.I., E.K.); Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland (E.K.); Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway (E.K.); Children's Hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland (E.K.); Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore (J.G.E.); Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore (J.G.E.); and Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden (M.J.H.)
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Yan R, Li L, Duan X, Zhao J. Association of frailty with health service use among older Chinese adults: analysis of population-based panel data. Front Public Health 2023; 11:1011588. [PMID: 37575114 PMCID: PMC10420091 DOI: 10.3389/fpubh.2023.1011588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 07/04/2023] [Indexed: 08/15/2023] Open
Abstract
Background Frailty is a common syndrome characterized by rapid growth in the aging population that has an impact on healthcare systems. This study aimed to investigate the impact of frailty on health service use and whether this effect varies with chronic diseases and socioeconomic status among older individuals in China. Methods A balanced panel data analysis was conducted on 3,306 older individuals who completed follow-ups for the three waves of the China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013, and 2015. The Physical Frailty Phenotype (PFP) Scale was used to assess frailty status. Negative binomial regression was used to test the associations between frailty status, outpatient visits in the past 4 weeks, and annual inpatient hospital days. Results Compared with robust individuals, individuals with pre-frail or frail status were likely to report a higher number of outpatient visits [pre-frail: incidence rate ratio (IRR) = 1.28, 95% CI = 1.16-1.41; frail: IRR = 1.45, 95% CI = 1.23-1.71], and inpatient hospital days (pre-frail: IRR = 1.40, 95% CI = 1.24-1.58; frail: IRR = 2.17, 95% CI = 1.81-2.60) after controlling for all covariates. All five frailty components (weight loss, exhaustion, low physical activity, slowness, and weakness) were associated with a higher number of inpatient hospital days, and two components (weight loss and exhaustion) were associated with a higher number of outpatient visits. The effect of frailty on inpatient hospital stays persisted in different socioeconomic groups, across all health insurance programmes and physical comorbidities. Conclusion Frailty is associated with greater health service use among older individuals. Effective screening, prevention, intervention, and management of frailty may be important to reduce health service use.
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Affiliation(s)
- Rui Yan
- Internet Medical and System Applications of National Engineering Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lifeng Li
- Internet Medical and System Applications of National Engineering Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoran Duan
- Internet Medical and System Applications of National Engineering Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jie Zhao
- Internet Medical and System Applications of National Engineering Laboratory, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Ikonen JN, Eriksson JG, von Bonsdorff MB, Kajantie E, Arponen O, Haapanen MJ. The utilization of primary healthcare services among frail older adults - findings from the Helsinki Birth Cohort Study. BMC Geriatr 2022; 22:79. [PMID: 35078410 PMCID: PMC8790892 DOI: 10.1186/s12877-022-02767-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/10/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND The impact of frailty on primary healthcare service use, especially general practice office visits and remote contacts, is currently unknown. Further, little is known about the association of frailty with physiotherapy contacts. METHODS We examined the utilization of primary healthcare services among 1064 participants from the Helsinki Birth Cohort Study between the years 2013 and 2017. Frailty was assessed based on Fried's frailty criteria at mean age of 71.0 (2.7 SD) years in clinical examinations between the years 2011 and 2013. General practice office visits and remote contacts, the total number of general practice contacts, physiotherapy contacts, and the total number of primary healthcare contacts were extracted from a national Finnish register. We analyzed the data with negative binomial regression models. RESULTS Of the 1064 participants, 37 were frail (3.5%) and 427 pre-frail (40.1%); 600 non-frail (56.4%) served as a reference group. Frailty was associated with general practice office visits (IRR 1.31, 95% CI=1.01-1.69), physiotherapy contacts (IRR 2.97, 95% CI=1.49-5.91) and the total number of primary healthcare contacts (IRR 1.41, 95% CI=1.07-1.85). Pre-frailty predicted the use of general practice remote contacts (IRR 1.39, 95% CI=1.22-1.57) and the total number of general practice contacts (IRR 1.25, 95% CI=1.12-1.40). CONCLUSIONS Frailty increases the overall primary healthcare service use whereas pre-frailty is associated with the use of general practice services, especially remote contacts. Primary healthcare needs measures to adapt healthcare services based on the needs of rapidly increasing number of pre-frail and frail older adults and should consider preventative interventions against frailty.
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Affiliation(s)
- Jenni N Ikonen
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland.
- Folkhälsan Research Center, Helsinki, Finland.
| | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Yong Loo Lin School of Medicine, Department of Obstetrics and Gynecology and Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Mikaela B von Bonsdorff
- Folkhälsan Research Center, Helsinki, Finland
- Gerontology Research Center and Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Eero Kajantie
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- PEDEGO Research Unit, MRC Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Children's hospital, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Otso Arponen
- Department of Radiology, Tampere University Hospital, Tampere, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Markus J Haapanen
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
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