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Kirkeskov L, Bray K. Employment of patients with rheumatoid arthritis - a systematic review and meta-analysis. BMC Rheumatol 2023; 7:41. [PMID: 37964371 PMCID: PMC10644429 DOI: 10.1186/s41927-023-00365-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/20/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Patients with rheumatoid arthritis (RA) have difficulties maintaining employment due to the impact of the disease on their work ability. This review aims to investigate the employment rates at different stages of disease and to identify predictors of employment among individuals with RA. METHODS The study was carried out according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines focusing on studies reporting employment rate in adults with diagnosed RA. The literature review included cross-sectional and cohort studies published in the English language between January 1966 and January 2023 in the PubMed, Embase and Cochrane Library databases. Data encompassing employment rates, study demographics (age, gender, educational level), disease-related parameters (disease activity, disease duration, treatment), occupational factors, and comorbidities were extracted. Quality assessment was performed employing Newcastle-Ottawa Scale. Meta-analysis was conducted to ascertain predictors for employment with odds ratios and confidence intervals, and test for heterogeneity, using chi-square and I2-statistics were calculated. This review was registered with PROSPERO (CRD42020189057). RESULTS Ninety-one studies, comprising of a total of 101,831 participants, were included in the analyses. The mean age of participants was 51 years and 75.9% were women. Disease duration varied between less than one year to more than 18 years on average. Employment rates were 78.8% (weighted mean, range 45.4-100) at disease onset; 47.0% (range 18.5-100) at study entry, and 40.0% (range 4-88.2) at follow-up. Employment rates showed limited variations across continents and over time. Predictors for sustained employment included younger age, male gender, higher education, low disease activity, shorter disease duration, absence of medical treatment, and the absence of comorbidities. Notably, only some of the studies in this review met the requirements for high quality studies. Both older and newer studies had methodological deficiencies in the study design, analysis, and results reporting. CONCLUSIONS The findings in this review highlight the prevalence of low employment rates among patients with RA, which increases with prolonged disease duration and higher disease activity. A comprehensive approach combining clinical and social interventions is imperative, particularly in early stages of the disease, to facilitate sustained employment among this patient cohort.
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Affiliation(s)
- Lilli Kirkeskov
- Department of Social Medicine, University Hospital Bispebjerg-Frederiksberg, Copenhagen, Denmark.
- Department of Social Medicine, University Hospital Bispebjerg-Frederiksberg, Nordre Fasanvej 57, Vej 8, Opgang 2.2., 2000, Frederiksberg, Denmark.
| | - Katerina Bray
- Department of Social Medicine, University Hospital Bispebjerg-Frederiksberg, Copenhagen, Denmark
- Department of Occupational and Social Medicine, Holbaek Hospital, Holbaek, Denmark
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Almutairi K, Nossent J, Preen DB, Keen H, Inderjeeth C. The temporal association between hospital admissions, biological therapy usage and direct health care costs in rheumatoid arthritis patients. Rheumatol Int 2021; 42:2027-2037. [PMID: 34536090 DOI: 10.1007/s00296-021-04985-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 08/28/2021] [Indexed: 11/29/2022]
Abstract
The Australian Pharmaceutical Benefits Scheme (PBS) has subsidised biological therapy since 2003. We investigated the association between biological therapy for RA hospitalisation rates and health-care costs.Hospital admissions for RA patients between 1995 and 2014 were identified in the Western Australia (WA) Hospital Morbidity Data Collection (ICD codes 714 and M05.00-M06.99). State-specific dispensing data for conventional and biological therapies for RA was obtained from Statistics Australia and expressed as defined daily doses/1000 population/day (DDD) using WA population census. Principal component analysis (PCA) was applied to determine the relationship between DMARDs use and hospital admission rates.A total of 17,125 patients had 50,353 admissions with a diagnostic code for RA. Between 1995 and 2002, the number of RA admissions fell from 7.9 to 2.6/1000 admissions, while conventional therapy use rose from 1.45 to 1.84 DDD. Between 2003 and 2014, RA admissions decreased further to 1.9/1000 hospital admissions, while conventional therapy use increased to 2.19 DDD and biological therapy from 0.01 to 1.0 DDD. In PCA, conventional and biological therapies use had an inverse relationship with hospital admission rates. Annual costs of biological therapy utilisation was 22.5 million in 2003-2014, while the annual cost saving of RA hospital admissions was 9.2 million.The increased use of conventional therapy use for RA has coincided with a significant decline in hospital admissions for RA patients in WA, while a more modest further decline followed biological therapy introduction. Biological therapy was not as cost-effective as conventional in relation to RA hospital admissions costs.
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Affiliation(s)
- Khalid Almutairi
- School of Medicine, The University of Western Australia, Perth, Western Australia, Australia. .,King Fahd Specialist Hospital, Burydah, AlQassim, Saudi Arabia.
| | - Johannes Nossent
- School of Medicine, The University of Western Australia, Perth, Western Australia, Australia.,Sir Charles Gairdner and Osborne Park Health Care Group, Perth, Western Australia, Australia
| | - David B Preen
- School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Helen Keen
- School of Medicine, The University of Western Australia, Perth, Western Australia, Australia.,Fiona Stanley Hospital, Murdoch, Western Australia, Australia
| | - Charles Inderjeeth
- School of Medicine, The University of Western Australia, Perth, Western Australia, Australia.,Sir Charles Gairdner and Osborne Park Health Care Group, Perth, Western Australia, Australia
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Hope HF, Hyrich KL, Anderson J, Bluett J, Sergeant JC, Barton A, Cordingley L, Verstappen SMM. The predictors of and reasons for non-adherence in an observational cohort of patients with rheumatoid arthritis commencing methotrexate. Rheumatology (Oxford) 2020; 59:213-223. [PMID: 31302692 DOI: 10.1093/rheumatology/kez274] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 05/24/2019] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE In order to develop interventions to optimize MTX use for the treatment of RA we evaluated the rate of, reasons for and predictors of MTX non-adherence during the first 6 months of therapy. METHODS The Rheumatoid Arthritis Medication Study (RAMS) is a prospective multicentre cohort study of incident MTX users in the UK. Prior to MTX commencement demographic, clinical and psychological data were collected. A weekly patient-completed diary recorded MTX dose, possible side effects and adherence over 26 weeks. The number of non-adherent weeks was calculated. Potential baseline predictors of ever non-adherence (⩾1 week non-adherent) during the first 6 months of MTX therapy were identified using logistic regression analyses. RESULTS 606 patients with RA were included; 69% female, mean (s.d.) age 60 (13) years and DAS28 score 4.2 (1.2). Over the first 6 months following MTX initiation, 158 (26%) patients were ever non-adherent (71% intentional, 19% non-intentional, 10% unexplained) and mean (s.d.) number of non-adherent weeks was 2.5 (2.1). Multivariable predictors of ever non-adherence included DAS28 [odds ratios (OR) 1.1, 95% CI 1.0, 1.4], fatigue (OR 1.1, 95% CI 1.0, 1.2 per cm), ⩾2 comorbidities vs no comorbidities (OR 1.9, 95% CI 1.1, 3.5) and high medication concerns despite perceived need (OR 1.1, 95% CI 1.0, 1.1 per unit decrease in need/concern differential). CONCLUSION This is the largest study evaluating early intentional and non-intentional non-adherence to MTX, which has identified that patient beliefs and multi-morbidity strongly link with non-adherence. These findings can direct the design of and provide potential targets for interventions to improve patient adherence.
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Affiliation(s)
- Holly F Hope
- Centre for Women's Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,NIHR Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Kimme L Hyrich
- NIHR Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Arthritis Research UK Centre for Epidemiology, Manchester, UK
| | - James Anderson
- Arthritis Research UK Centre for Genetics and Genomics, Faculty of Biology, Medicine and Health, Manchester, UK
| | - James Bluett
- NIHR Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Arthritis Research UK Centre for Genetics and Genomics, Faculty of Biology, Medicine and Health, Manchester, UK
| | - Jamie C Sergeant
- Arthritis Research UK Centre for Epidemiology, Manchester, UK.,Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Anne Barton
- Centre for Women's Mental Health, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.,Arthritis Research UK Centre for Genetics and Genomics, Faculty of Biology, Medicine and Health, Manchester, UK
| | - Lis Cordingley
- NIHR Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Arthritis Research UK Centre for Epidemiology, Manchester, UK
| | - Suzanne M M Verstappen
- NIHR Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.,Arthritis Research UK Centre for Epidemiology, Manchester, UK
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Kvamme MK, Lie E, Kvien TK, Kristiansen IS. Two-year direct and indirect costs for patients with inflammatory rheumatic joint diseases: data from real-life follow-up of patients in the NOR-DMARD registry. Rheumatology (Oxford) 2012; 51:1618-27. [DOI: 10.1093/rheumatology/kes074] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Metsios GS, Stavropoulos-Kalinoglou A, Treharne GJ, Nevill AM, Sandoo A, Panoulas VF, Toms TE, Koutedakis Y, Kitas GD. Disease activity and low physical activity associate with number of hospital admissions and length of hospitalisation in patients with rheumatoid arthritis. Arthritis Res Ther 2011; 13:R108. [PMID: 21714856 PMCID: PMC3218923 DOI: 10.1186/ar3390] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2011] [Revised: 05/27/2011] [Accepted: 06/29/2011] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Substantial effort has been devoted for devising effective and safe interventions to reduce preventable hospital admissions in chronic disease patients. In rheumatoid arthritis (RA), identifying risk factors for admission has important health policy implications, but knowledge of which factors cause or prevent hospital admissions is currently lacking. We hypothesised that disease activity/severity and physical activity are major predictors for the need of hospitalisation in patients with RA. METHODS A total of 244 RA patients were assessed for: physical activity (International Physical Activity Questionnaire), RA activity (C-reactive protein: CRP; disease activity score: DAS28) and disability (Health Assessment Questionnaire: HAQ). The number of hospital admissions and length of hospitalisation within a year from baseline assessment were collected prospectively. RESULTS Disease activity and disability as well as levels of overall and vigorous physical activity levels correlated significantly with both the number of admissions and length of hospitalisation (P < 0.05); regression analyses revealed that only disease activity (DAS28) and physical activity were significant independent predictors of numbers of hospital admissions (DAS28: (exp(B) = 1.795, P = 0.002 and physical activity: (exp(B) = 0.999, P = 0.046)) and length of hospitalisation (DAS28: (exp(B) = 1.795, P = 0.002 and physical activity: (exp(B) = 0.999, P = 0.046). Sub-analysis of the data demonstrated that only 19% (n = 49) of patients engaged in recommended levels of physical activity. CONCLUSIONS This study provides evidence that physical activity along with disease activity are important predictors of the number of hospital admissions and length of hospitalisation in RA. The combination of lifestyle changes, particularly increased physical activity along with effective pharmacological therapy may improve multiple health outcomes as well as cost of care for RA patients.
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Affiliation(s)
- George S Metsios
- Department of Physical Activity, Exercise and Health, University of Wolverhampton, Gorway Road, Walsall, WS13BD, West Midlands, UK.
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Birnbaum H, Pike C, Kaufman R, Marynchenko M, Kidolezi Y, Cifaldi M. Societal cost of rheumatoid arthritis patients in the US. Curr Med Res Opin 2010; 26:77-90. [PMID: 19908947 DOI: 10.1185/03007990903422307] [Citation(s) in RCA: 161] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To estimate comprehensive cost of rheumatoid arthritis (RA) patients to society and individual stakeholders, including patients/employees, employers, family members/caregivers, and government. RESEARCH DESIGN AND METHODS Administrative claims databases covering privately insured and Medicare and Medicaid beneficiaries in the US were used to compute the excess payer and beneficiary-paid costs per patient with RA compared with matched controls. Similarly, per-person excess costs for caregivers and uninsured patients with RA were estimated. Costs were estimated for other burdens, including costs of work-loss to employers, adaptations to home and work environments, lost on-the-job productivity, informal and hired care/household help, and job turnover costs. Intangible costs associated with quality-of-life deterioration were estimated based on legal system jury awards, whereas costs for premature mortality were based on lifetime earnings data. Per-capita cost estimates were weighted by the relevant population to estimate societal costs. Because data were incomplete, several assumptions were required; these assumptions could lead to an over- or under-estimation of cost burdens. RESULTS Annual excess health care costs of RA patients were $8.4 billion, and costs of other RA consequences were $10.9 billion. These costs translate to a total annual cost of $19.3 billion. From a stakeholder perspective, 33% of the total cost was allocated to employers, 28% to patients, 20% to the government, and 19% to caregivers. Adding intangible costs of quality-of-life deterioration ($10.3 billion) and premature mortality ($9.6 billion), total annual societal costs of RA (direct, indirect, and intangible) increased to $39.2 billion. CONCLUSIONS Societal costs of RA in the US are $19.3 billion and $39.2 billion (in 2005 dollars) without and with intangible costs, respectively. This study was one of the first to attempt to quantify the comprehensive burdens of RA. Despite several assumptions made in areas in which few data exist, the findings generate useful insights into the full burden of RA.
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