Skip to main content
main-content
Top

Tip

Swipe om te navigeren naar een ander artikel

Gepubliceerd in: Quality of Life Research 5/2021

07-02-2021

Utility estimations of health states of older Australian women with atrial fibrillation using SF-6D

Auteurs: Shazia S. Abbas, Tazeen Majeed, Natasha Weaver, Balakrishnan R. Nair, Peta M. Forder, Julie E. Byles

Gepubliceerd in: Quality of Life Research | Uitgave 5/2021

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

To estimate SF-6D utility scores for older women with atrial fibrillation (AF); calculate and compare mean utility scores for women with AF with various demographic, health behaviours, and clinical characteristics; and develop a multivariable regression model to determine factors associated with SF-6D utility scores.

Methods

This study evaluated N = 1432 women diagnosed with AF from 2000 to 2015 of the old cohort (born 1921–26) of the Australian Longitudinal Study on Women’s Health (ALSWH) who remained alive for at least 12 months post first recorded AF diagnosis. Self-reported data on demographics, health behaviours, health conditions, and SF-36 were obtained from the ALSWH surveys, corresponding to within three years of the date of the first record of AF diagnosis. Linked Pharmaceutical Benefits Scheme (PBS) data determined the use of oral anticoagulants and comorbid conditions, included in CHA2DS2-VA (Congestive heart failure, Hypertension, Age ≥ 75 years, Diabetes, Stroke or TIA, Vascular disease and Age 65–74 years) score calculation, were assessed using state-based hospital admissions data. Utility scores were calculated for every woman from their SF-36 responses using the SF-6D algorithm with Australian population norms. Mean utility scores were then calculated for women with various demographic, health behaviours, and clinical characteristics. Ordinary Least Square (OLS) regression modelling was performed to determine factors associated with these utility scores. Two different scenarios were used for the analysis: (1) complete-case, for women with complete data on all the SF-36 items required to estimate SF-6D (N = 584 women), and (2) Multiple Imputation (MI) for missing data, applied to missing values on SF-36 items (N = 1432 women). MI scenario was included to gauge the potential bias when using complete data only.

Results

The mean health utility was estimated to be 0.638 ± 0.119 for the complete dataset and 0.642 ± 0.120 for the dataset where missing values were handled using MI. Using the MI technique, living in regional and remote areas (\(\beta = 0.016 \pm 0.007\)) and the use of oral anticoagulants (\(\beta = 0.021 \pm 0.007)\) were positively associated with health utility compared to living in major cities and no use of anticoagulants, respectively. Difficulty to manage on available income \(\left( {\beta = -\,0.027 \pm 0.009} \right)\), no/low physical activity \(\left( {\beta = -\,0.069 \pm 0.011} \right)\), disability \(\left( {\beta = -\,0.097 \pm 0.008} \right)\), history of stroke (\(\beta = -\,0.025 \pm 0.013)\) and history of arthritis \(\left( {\beta = -\,0.024 \pm 0.007} \right)\) were negatively associated with health utility.

Conclusion

This study presents health utility estimates for older women with AF. These estimates can be used in future clinical and economic research. The study also highlights better health utilities for women living in regional and remote areas, which requires further exploration.

Met onderstaand(e) abonnement(en) heeft u direct toegang:

BSL Podotherapeut Totaal

Binnen de bundel kunt u gebruik maken van boeken, tijdschriften, e-learnings, web-tv's en uitlegvideo's. BSL Podotherapeut Totaal is overal toegankelijk; via uw PC, tablet of smartphone.

Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
3.
go back to reference Witassek, F., Springer, A., Adam, L., Aeschbacher, S., Beer, J. H., Blum, S., et al. (2019). Health-related quality of life in patients with atrial fibrillation: The role of symptoms, comorbidities, and the type of atrial fibrillation. PloS one, 14(12), e0226730. CrossRef Witassek, F., Springer, A., Adam, L., Aeschbacher, S., Beer, J. H., Blum, S., et al. (2019). Health-related quality of life in patients with atrial fibrillation: The role of symptoms, comorbidities, and the type of atrial fibrillation. PloS one, 14(12), e0226730. CrossRef
9.
go back to reference Australian Institute of Health and Welfare. (2019). Australian Burden of Disease Study: impact and causes of illness and death in Australia 2015. Australian Burden of Disease series no. 19. Cat. no. BOD 22. Canberra: AIHW. Australian Institute of Health and Welfare. (2019). Australian Burden of Disease Study: impact and causes of illness and death in Australia 2015. Australian Burden of Disease series no. 19. Cat. no. BOD 22. Canberra: AIHW.
13.
go back to reference Alex, M. J. G., & Wyrwich, K. W. (2003). Health utility measures and the standard gamble. Academic Emergency Medicine, 10(4), 360–363. CrossRef Alex, M. J. G., & Wyrwich, K. W. (2003). Health utility measures and the standard gamble. Academic Emergency Medicine, 10(4), 360–363. CrossRef
15.
go back to reference Badia, X., Arribas, F., Ormaetxe, J. M., Peinado, R., & de los Terreros, M. S. (2007). Development of a questionnaire to measure health-related quality of life (HRQoL) in patients with atrial fibrillation (AF-QoL). Health and Quality of Life Outcomes, 5(1), 37. CrossRef Badia, X., Arribas, F., Ormaetxe, J. M., Peinado, R., & de los Terreros, M. S. (2007). Development of a questionnaire to measure health-related quality of life (HRQoL) in patients with atrial fibrillation (AF-QoL). Health and Quality of Life Outcomes, 5(1), 37. CrossRef
17.
go back to reference The EuroQol Group. (1990). EuroQol—a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208. CrossRef The EuroQol Group. (1990). EuroQol—a new facility for the measurement of health-related quality of life. Health Policy, 16(3), 199–208. CrossRef
18.
go back to reference Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128. CrossRef Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128. CrossRef
19.
go back to reference Richardson, J., Khan, M. A., Chen, G., Iezzi, A., & Maxwell, A. (2012). Population norms and Australian profile using the Assessment of Quality of Life (AQoL) 8D utility instrument. Centre for Health Economics Research Paper. Richardson, J., Khan, M. A., Chen, G., Iezzi, A., & Maxwell, A. (2012). Population norms and Australian profile using the Assessment of Quality of Life (AQoL) 8D utility instrument. Centre for Health Economics Research Paper.
20.
go back to reference Kaplan, R. M., Bush, J. W., & Berry, C. C. (1976). Health status: Types of validity and the index of well-being. Health Services Research, 11(4), 478. PubMedPubMedCentral Kaplan, R. M., Bush, J. W., & Berry, C. C. (1976). Health status: Types of validity and the index of well-being. Health Services Research, 11(4), 478. PubMedPubMedCentral
21.
go back to reference Fu, S.-N., Dao, M.-C., Wong, C.K.-H., & Yu, W.-C. (2019). SF-6D utility scores of smokers and ex-smokers with or without respiratory symptoms attending primary care clinics. Health and Quality of Life Outcomes, 17(1), 48. CrossRef Fu, S.-N., Dao, M.-C., Wong, C.K.-H., & Yu, W.-C. (2019). SF-6D utility scores of smokers and ex-smokers with or without respiratory symptoms attending primary care clinics. Health and Quality of Life Outcomes, 17(1), 48. CrossRef
22.
go back to reference Kortt, M. A., & Clarke, P. M. (2005). Estimating utility values for health states of overweight and obese individuals using the SF-36. Quality of Life Research, 14(10), 2177–2185. CrossRef Kortt, M. A., & Clarke, P. M. (2005). Estimating utility values for health states of overweight and obese individuals using the SF-36. Quality of Life Research, 14(10), 2177–2185. CrossRef
29.
go back to reference Australian Consortium for Classification Development (2017). The International Statistical Classification of Disease and Related Health Problems, Teenth revision, Australian Mofification (ICD-10-AM), Australian Classification of Health Interventions (ACHI) and Asutralian Coding Standards (ACS) - ICD-10-AM-AM/ACHI/ACS. (Tenth Edition ed.): Independent Housing Pricing Authority. Australian Consortium for Classification Development (2017). The International Statistical Classification of Disease and Related Health Problems, Teenth revision, Australian Mofification (ICD-10-AM), Australian Classification of Health Interventions (ACHI) and Asutralian Coding Standards (ACS) - ICD-10-AM-AM/ACHI/ACS. (Tenth Edition ed.): Independent Housing Pricing Authority.
33.
go back to reference Kanesarajah, J., Waller, M., Whitty, J. A., & Mishra, G. D. (2017). The relationship between SF-6D utility scores and lifestyle factors across three life stages: Evidence from the Australian Longitudinal Study on Women’s Health. Quality of Life Research, 26(6), 1507–1519. CrossRef Kanesarajah, J., Waller, M., Whitty, J. A., & Mishra, G. D. (2017). The relationship between SF-6D utility scores and lifestyle factors across three life stages: Evidence from the Australian Longitudinal Study on Women’s Health. Quality of Life Research, 26(6), 1507–1519. CrossRef
37.
go back to reference Australian Institute of Health and Welfare. (2019). Rural & remote health. Canberra: AIHW. Australian Institute of Health and Welfare. (2019). Rural & remote health. Canberra: AIHW.
39.
go back to reference Dobson, A., Byles, J., Dolja-Gore, X., Fitzgerald, D., Hockey, R., Loxton, D., et al. (2011). Rural, remote and regional differences in women's health: Findings from the Australian Longitudinal Study on Women's Health. Women's Health Australia Dobson, A., Byles, J., Dolja-Gore, X., Fitzgerald, D., Hockey, R., Loxton, D., et al. (2011). Rural, remote and regional differences in women's health: Findings from the Australian Longitudinal Study on Women's Health. Women's Health Australia
40.
go back to reference Byles, J., Mishra, G., Hockey, R., Adane, A., Chan, H.-W., Dolja-Gore, X., et al. (2017). Use, access to, and impact of Medicare services for Australian women: Findings from the Australian Longitudinal Study on Women's Health. Women's Health Australia. Byles, J., Mishra, G., Hockey, R., Adane, A., Chan, H.-W., Dolja-Gore, X., et al. (2017). Use, access to, and impact of Medicare services for Australian women: Findings from the Australian Longitudinal Study on Women's Health. Women's Health Australia.
42.
go back to reference Lucke, J., Russell, A., Tooth, L., Lee, C., Watson, M., Byrne, G., et al. (2008). Few urban–rural differences in older carers’ access to community services. Australian Health Review, 32(4), 684–690. CrossRef Lucke, J., Russell, A., Tooth, L., Lee, C., Watson, M., Byrne, G., et al. (2008). Few urban–rural differences in older carers’ access to community services. Australian Health Review, 32(4), 684–690. CrossRef
Metagegevens
Titel
Utility estimations of health states of older Australian women with atrial fibrillation using SF-6D
Auteurs
Shazia S. Abbas
Tazeen Majeed
Natasha Weaver
Balakrishnan R. Nair
Peta M. Forder
Julie E. Byles
Publicatiedatum
07-02-2021
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 5/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02748-3