4
|
Garratt AM, Stavem K. Measurement properties and normative data for the Norwegian SF-36: results from a general population survey. Health Qual Life Outcomes 2017; 15:51. [PMID: 28292292 PMCID: PMC5351285 DOI: 10.1186/s12955-017-0625-9] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 03/06/2017] [Indexed: 01/03/2023] Open
Abstract
Background The interpretation of the SF-36 in Norwegian populations largely uses normative data from 1996. This study presents data for the general population from 2002–2003 which has been used for comparative purposes but has not been assessed for measurement properties. Methods As part of the Norwegian Level of Living Survey 2002–2003, a postal survey was conducted comprising 9,164 members of the general population aged 16 years and over representative for Norway who received the Norwegian SF-36 version 1.2. The SF-36 was assessed against widely applied criteria including data completeness and assumptions relating to the construction and scoring of multi-item scales. Normative data are given for the eight SF-36 scales and the two summary scales (PCS, MCS) for eight age groups and gender. Results There were 5,396 (58.9%) respondents. Item levels of missing data ranged from 0.6 to 3.0% with scale scores computable for 97.5 to 99.8% of respondents. All item-total correlations were above 0.4 and were of a similar level with the exceptions of the easiest and most difficult physical function items and two general health items. Cronbach’s alpha exceeded 0.8 for all scales. Under 5% of respondents scored at the floor for five scales. Role-physical had the highest floor effect (14.6%) and together with role-emotional had the highest ceiling effects (66.3-76.8%). With three exceptions for the eight age groups, females had lower scores than males across the eight health scales. The two youngest age groups (<30 years) had the highest scores for physical aspects of health; physical function, role-physical, bodily pain and general health. The age groups 40–49 and 60–69 years had the highest scores for role-emotional and mental health respectively. Conclusions This SF-36 data meet necessary criteria for applications of normative data. The data is more recent, has more respondents including older people than the original Norwegian normative data from 1996, and can help the interpretation of SF-36 scores in applications that include clinical and health services research.
Collapse
Affiliation(s)
- A M Garratt
- Knowledge Centre for the Health Services, Norwegian Institute of Public Health, PO Box 4404, Nydalen, N-0403, Oslo, Norway.
| | - K Stavem
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Pulmonary Medicine, Medical Division, Akershus University Hospital, Oslo, Norway.,Health Services Research Unit, Akershus University Hospital, Oslo, Norway
| |
Collapse
|
6
|
Rogers HL, Brotherton HT, Olivera Plaza SL, Segura Durán MA, Peña Altamar ML. Depressive and anxiety symptoms and social support are independently associated with disease-specific quality of life in Colombian patients with rheumatoid arthritis. REVISTA BRASILEIRA DE REUMATOLOGIA 2015; 55:406-13. [PMID: 25816759 DOI: 10.1016/j.rbr.2015.01.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Revised: 06/22/2014] [Accepted: 01/11/2015] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE To examine the relationship between disease-specific Quality of Life (QOL) and socio-demographic, medical, and psychosocial factors in Colombian patients with Rheumatoid Arthritis (RA). METHODS One hundred and three RA patients recruited from ambulatory centers in Neiva, Colombia were administered the Disease Activity Scale 28 (DAS-28), QOL-RA, Zung Self-Rating Depression Scale, State-Trait Anxiety Inventory (STAI), Interpersonal Support Evaluation List-12 (ISEL-12), and Symptom Checklist-90 Revised (SCL-90R). RESULTS Lower QOL-RA was associated with lower socio-economic status (SES; r=0.26, p<0.01), higher likelihood of using opioids (t=-2.51, p<0.05), higher likelihood of comorbid pulmonary disease (t=-2.22, p<0.05), and lower ISEL-12 sub-scales (r's=0.41-0.31, p's<0.001). Lower QOL-RA was associated with higher DAS-28 (r=-0.28, p<0.01), Visual Analog Scale (VAS; r=-0.35, p<0.001), Zung Depression (r=-0.72, p <0.001), STAI-State (r=-0.66, p<0.001), STAI-Trait (r=-0.70, p<0.001), SCL-90R Global Severity Index (r=-0.50, p<0.001), SCL-90R Positive Symptom Total (r=-0.57, p<0.001), and all SCL-90R sub-scales (r's=-0.54--0.21, p's<0.01). A multivariate linear regression model indicated that SES (B=2.77, p<0.05), Zung Depression (B=-0.53, p<0.001), STAI-State (B=-0.26, p<0.05), and ISEL-12 Belonging (B=1.15, p<0.01) were independently associated with QOL-RA, controlling for significant associations. CONCLUSIONS More depressive and anxiety symptoms were independently associated with lower disease-specific QOL, while higher perceptions of having people to do activities with (belonging social support) and higher SES were independently associated with higher disease-specific QOL. Psychosocial factors impact QOL in RA above and beyond disease activity. Additional research into the benefits of psychosocial assessment of RA patients and provision of comprehensive care to improve QOL is warranted.
Collapse
Affiliation(s)
- Heather L Rogers
- Departamento de Métodos e Psicologia Experimental, Universidade de Deusto, Bilbao, Espanha.
| | - Hardin T Brotherton
- Departamento de Métodos e Psicologia Experimental, Universidade de Deusto, Bilbao, Espanha
| | | | | | | |
Collapse
|
11
|
Gossec L, Berenbaum F, Chauvin P, Lamiraud K, Russo-Marie F, Joubert JM, Saraux A. Reporting of patient-perceived impact of rheumatoid arthritis and axial spondyloarthritis over 10 years: a systematic literature review. Rheumatology (Oxford) 2014; 53:1274-81. [PMID: 24602920 PMCID: PMC4065006 DOI: 10.1093/rheumatology/ket480] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE RA and axial SpA have an important impact on patients' lives. The objective of this study was to explore the reporting of different aspects of that impact in publications, with a focus on differences between diseases and over time. METHODS A systematic literature review retrieved all articles reporting on the life impact of RA or axial radiographic SpA in adults published within the last 10 years and issued from European research. The data were classified into physical impact (including pain, functional assessment and fatigue), psychological impact (including psychological distress and coping) and social impact (including relationships, family and social life). The number of articles published over time was analysed by linear regression. RESULTS In all, 1352 abstracts were screened and 149 publications (40,056 patients) were analysed: 129 articles (86.5%) concerned RA and 16 (10.7%) concerned axial SpA. The mean number of articles reporting on the physical aspects of impact was 11.4 (s.d. 4.8) per 2-year period, but increased more than 2-fold (from 7 articles in 2001-3 to 15 in 2010-11), in particular due to recent publications on fatigue, whereas the number of articles on psychological aspects [mean 12.4 (s.d. 4.0)] decreased markedly after 2006. Publications reporting on social aspects [mean 8.2 (s.d. 4.1)] remained globally stable. CONCLUSION In the era of biologics, there is an interest in the patient-perceived life impact of RA and axial SpA in the European literature, but the impact of RA has been the subject of greater exploration. There are clearly trends over time in the reporting of impact.
Collapse
Affiliation(s)
- Laure Gossec
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France.UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France.
| | - Francis Berenbaum
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France.UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France
| | - Pierre Chauvin
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France
| | - Karine Lamiraud
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France.UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France
| | - Francoise Russo-Marie
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France
| | - Jean-Michel Joubert
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France
| | - Alain Saraux
- UPMC Univ Paris 06, GRC-UPMC 08 (EEMOIS), Department of Rheumatology, AP-HP, Pitié Salpêtrière Hospital, UPMC Univ Paris 06, Department of Rheumatology, AP-HP, Saint Antoine Hospital, INSERM, UMRS 707, ESSEC Business School, Paris, THEMA, University of Cergy Pontoise, Cergy Pontoise, Fondation Arthritis, Neuilly, UCB Pharma, Colombes and Rheumatology Department, Cavale Blanche University Hospital and EA 2216, Université Bretagne Occidentale, Brest, France
| |
Collapse
|
12
|
Agarwal P, Pan X, Sambamoorthi U. Depression treatment patterns among individuals with osteoarthritis: a cross sectional study. BMC Psychiatry 2013; 13:121. [PMID: 23607696 PMCID: PMC3640952 DOI: 10.1186/1471-244x-13-121] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Accepted: 04/09/2013] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Arthritis and depression often co-occur; however, studies that describe patterns of depression treatment among individuals with arthritis are scant. The purpose of the study was to examine depression treatment patterns among individuals with osteoarthritis (OA) by predisposing, enabling, need factors, personal health practices and external health environment. METHODS Retrospective cross-sectional design was used. Data were obtained from 2008 and 2010 Medical Expenditure Panel Survey (MEPS). The sample consisted of 647adults aged over 21 years with depression and OA. Depression treatment was categorized as: 1) No treatment;2) antidepressant use only and 3) both antidepressants and psychotherapy (combination therapy). Chi- square tests and multinomial logistic regressions were used to describe patterns of depression treatment. All analysis was performed using Statistical Analysis Software (SAS) version 9.3. RESULTS Overall, 13.0% of the study sample reported no depression treatment, 67.8% used antidepressants only and 19.2% used combination therapy. Among individuals with OA significant subgroup differences in depression treatment were observed. For example, African Americans were less likely to report depression treatment compared to whites [antidepressants: AOR=0.33, 95% CI=0.21,0.51; combination therapy: AOR=0.39, 95% CI=0.23, 0.65]. Elderly adults were more likely to receive antidepressants and less likely to receive psychotherapy as compared to younger adults [AOR=0.53, 95% CI= 0.28,0.98]. Adults with anxiety were more likely to report depression treatment compared to those without anxiety [antidepressants: AOR=1.53, 95% CI=1.06, 2.22; combination therapy: AOR=3.52, 95% CI=2.40, 5.15]. CONCLUSION Future research needs to examine the reason for low rates of combination therapy as well as subgroup differences in combination therapy among individuals with OA.
Collapse
Affiliation(s)
- Parul Agarwal
- School of Pharmacy, Department of Pharmaceutical Systems and Policy, West Virginia University, Morgantown, WV, USA
| | - Xiaoyun Pan
- School of Pharmacy, Department of Pharmaceutical Systems and Policy, West Virginia University, Morgantown, WV, USA
| | - Usha Sambamoorthi
- School of Pharmacy, Department of Pharmaceutical Systems and Policy, West Virginia University, Morgantown, WV, USA
| |
Collapse
|