Skip to main content
Top
Gepubliceerd in: Quality of Life Research 11/2020

13-06-2020

Can survey data facilitate local priority setting? Experience from the Igunga and Nzega districts in Tanzania

Auteurs: Malale Tungu, Gasto Frumence, Mughwira Mwangu, Anna-Karin Hurtig, Lars Lindholm

Gepubliceerd in: Quality of Life Research | Uitgave 11/2020

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

This study aimed to investigate whether a local survey applying EQ-5D and SAGE could provide data valuable in setting priorities.

Methodology

A cross-sectional household survey was used to collect information from a total of 1,899 elderly individuals aged 60 years and over living in the Nzega and Igunga districts using the WHO-SAGE and EQ-5D questionnaires. QALY weights were generated using the average of an EQ-5D index. A multivariable regression model was performed to analyse the effect of socioeconomic factors and self-rated health status on the EQ-5D index, using a linear regression model.

Results

The confidence interval estimates indicate higher HRQoL among men, married, urban dwellers, and elderly rated with good health than in women, unmarried, rural dwellers, and elderly rated with bad/moderate health, and it decreases with age. Income and education level have a positive relationship with HRQoL. The regression analysis; Model 1 (not adjusted with SAGE variables): age in all groups (p = 0.01, 0.00 and 0.02) and marital status (p = 0.01) have an influence on HRQoL. Model 2 (adjusted with SAGE variables): self-rated health (p < 0.00), the age for the 80–89 group (p = 0.01), marital status (not married), and high income have an influence on HRQoL. Sex, education, and residence were not statistically significant (in either model) to affect the HRQoL of the elderly.

Conclusion

Local surveys, applying a combination of EQ-5D and SAGE, generate relevant and valuable information for policy makers when setting priorities at the district level. Therefore, this paper provides an empirical analysis for decision makers to consider the importance of combining EQ-5D, SAGE, and socioeconomic factors when setting priorities to improve HRQoL among the elderly.
Literatuur
1.
go back to reference W.H.O. (2015). World report on ageing and health. Geneva: World Health Organization. W.H.O. (2015). World report on ageing and health. Geneva: World Health Organization.
4.
go back to reference Mwanyangala, M. A., Mayombana, C., Urassa, H., Charles, J., Mahutanga, C., Abdullah, S., et al. (2010). Health status and quality of life among older adults in rural Tanzania. Global Health Action, 3(2), 36–44. Mwanyangala, M. A., Mayombana, C., Urassa, H., Charles, J., Mahutanga, C., Abdullah, S., et al. (2010). Health status and quality of life among older adults in rural Tanzania. Global Health Action, 3(2), 36–44.
6.
go back to reference United Republic of Tanzania. (2015). Health Sector Strategic Plan July 2015–June 2020. Dar es Salaam: Ministry of Health and Welfare. United Republic of Tanzania. (2015). Health Sector Strategic Plan July 2015–June 2020. Dar es Salaam: Ministry of Health and Welfare.
7.
go back to reference Office for National Statistics. (2018). National Population Projections. England: Office for National Statistics. Office for National Statistics. (2018). National Population Projections. England: Office for National Statistics.
8.
go back to reference National Bureau of Statistics (NBS) and Office of Chief Government Statistician (OCGS). (2015). Z. Mortality and Health Report 2015 (Vol. 1, pp. 1689–1699). Dar es Salaam: The National Bureau of Statistics. National Bureau of Statistics (NBS) and Office of Chief Government Statistician (OCGS). (2015). Z. Mortality and Health Report 2015 (Vol. 1, pp. 1689–1699). Dar es Salaam: The National Bureau of Statistics.
9.
go back to reference United Nations. (2011). Delivering as one social protection in Tanzania. Annual Report 2011. United Nations. (2011). Delivering as one social protection in Tanzania. Annual Report 2011.
10.
go back to reference The United Republic of Tanzania Ministry of Finance, Policy Forum. (2012). Government Budget for Financial Year 2011/2012: Citizens’ Budget Edition (pp. 1–20). Dar es Salaam: Ministry of Finance. The United Republic of Tanzania Ministry of Finance, Policy Forum. (2012). Government Budget for Financial Year 2011/2012: Citizens’ Budget Edition (pp. 1–20). Dar es Salaam: Ministry of Finance.
13.
go back to reference URT. (2015). United Republic of Tanzania, Ministry of Finance 2014/2015, Citizens’ Budget Edition (pp. 1–22). Dar es Salaam: Ministry of Finance in Collaboration with Policy Forum. URT. (2015). United Republic of Tanzania, Ministry of Finance 2014/2015, Citizens’ Budget Edition (pp. 1–22). Dar es Salaam: Ministry of Finance in Collaboration with Policy Forum.
14.
go back to reference United Republic of Tanzania. (2016). Ministry of Finance 2015/2016 Citizens ’ Budget Edition (pp. 1–22). Dar es Salaam: Ministry of Finance in Collaboration with Policy Forum. United Republic of Tanzania. (2016). Ministry of Finance 2015/2016 Citizens ’ Budget Edition (pp. 1–22). Dar es Salaam: Ministry of Finance in Collaboration with Policy Forum.
16.
go back to reference URT. (2011). Comprehensive Council Health Planning Guidelines 2011. Dar es Salaam : United Republic of Tanzania. URT. (2011). Comprehensive Council Health Planning Guidelines 2011. Dar es Salaam : United Republic of Tanzania.
19.
go back to reference United Republic of Tanzania. (2003). Regional workshop on ageing and poverty, ageing and poverty in Tanzania. Dar es Salaam: United Republic of Tanzania. United Republic of Tanzania. (2003). Regional workshop on ageing and poverty, ageing and poverty in Tanzania. Dar es Salaam: United Republic of Tanzania.
20.
go back to reference Kapiriri, L., Norheim, O. F., & Kapiriri, L. (2004). Criteria for priority-setting in health care in Uganda: Exploration of stakeholders’ values. Bulletin of the World Health Organization, 82(3), 172–179.PubMedPubMedCentral Kapiriri, L., Norheim, O. F., & Kapiriri, L. (2004). Criteria for priority-setting in health care in Uganda: Exploration of stakeholders’ values. Bulletin of the World Health Organization, 82(3), 172–179.PubMedPubMedCentral
21.
go back to reference Baltussen, R., Niessen, L., Ham, C., Robinson, R., Kapiriri, L., Norheim, O., et al. (2006). Priority setting of health interventions: The need for multi-criteria decision analysis. Cost Effective Resource Allocation, 4(1), 14.CrossRef Baltussen, R., Niessen, L., Ham, C., Robinson, R., Kapiriri, L., Norheim, O., et al. (2006). Priority setting of health interventions: The need for multi-criteria decision analysis. Cost Effective Resource Allocation, 4(1), 14.CrossRef
22.
go back to reference Osberg, L., & Mboghoina, T. (2010). Social protection of the elderly in Tanzania: Current status and future possibilities. REPOA Brief No. 24. Dar es Salaam: REPOA. Osberg, L., & Mboghoina, T. (2010). Social protection of the elderly in Tanzania: Current status and future possibilities. REPOA Brief No. 24. Dar es Salaam: REPOA.
23.
go back to reference Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes (4th ed.). Oxford: Oxford University Press. Drummond, M. F., Sculpher, M. J., Claxton, K., Stoddart, G. L., & Torrance, G. W. (2015). Methods for the economic evaluation of health care programmes (4th ed.). Oxford: Oxford University Press.
24.
go back to reference Hoi, L. V., Phuc, H. D., Dung, T. V., Chuc, N. T., & Lindholm, L. (2009). Remaining life expectancy among older people in a rural area of Vietnam: Trends and socioeconomic inequalities during a period of multiple transitions. BMC Public Health, 9, 471.PubMedPubMedCentralCrossRef Hoi, L. V., Phuc, H. D., Dung, T. V., Chuc, N. T., & Lindholm, L. (2009). Remaining life expectancy among older people in a rural area of Vietnam: Trends and socioeconomic inequalities during a period of multiple transitions. BMC Public Health, 9, 471.PubMedPubMedCentralCrossRef
25.
go back to reference Bowling, A. (2010). Measuring health related quality of life among older people. Aging & Mental Health, 24, 3–5. Bowling, A. (2010). Measuring health related quality of life among older people. Aging & Mental Health, 24, 3–5.
26.
go back to reference Usman, A., Lewis, S., Hinsliff-Smith, K., Long, A., Housley, G., Jordan, J., et al. (2018). Measuring health-related quality of life of care home residents, comparison of self-report with staff proxy responses for EQ-5D-5L and HowRu: Protocol for assessing proxy reliability in care home outcome testing. British Medical Journal Open, 8(8), e022127. Usman, A., Lewis, S., Hinsliff-Smith, K., Long, A., Housley, G., Jordan, J., et al. (2018). Measuring health-related quality of life of care home residents, comparison of self-report with staff proxy responses for EQ-5D-5L and HowRu: Protocol for assessing proxy reliability in care home outcome testing. British Medical Journal Open, 8(8), e022127.
28.
go back to reference World Health Organization. (2014). Study on global AGEing and adult health (SAGE) Wave 1 Mexico National Report. WHO Sage 1. Cuernavaca: Instituto Nacional de Salud Pública (INSP). World Health Organization. (2014). Study on global AGEing and adult health (SAGE) Wave 1 Mexico National Report. WHO Sage 1. Cuernavaca: Instituto Nacional de Salud Pública (INSP).
29.
go back to reference Kowal, P., Kahn, K., Ng, N., Naidoo, N., Abdullah, S., Bawah, A., et al. (2010). Ageing and adult health status in eight lower-income countries: The INDEPTH WHO-SAGE collaboration. Global Health Action, 3(Suppl. 2), 11–22. Kowal, P., Kahn, K., Ng, N., Naidoo, N., Abdullah, S., Bawah, A., et al. (2010). Ageing and adult health status in eight lower-income countries: The INDEPTH WHO-SAGE collaboration. Global Health Action, 3(Suppl. 2), 11–22.
30.
go back to reference National Bureau of Statistics (NBS). (2017). Tanzania in figures 2016. Dar es Salaam: The National Bureau of Statistics. National Bureau of Statistics (NBS). (2017). Tanzania in figures 2016. Dar es Salaam: The National Bureau of Statistics.
32.
go back to reference Drummond, M., et al. (2005). Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press. Drummond, M., et al. (2005). Methods for the economic evaluation of health care programmes. Oxford: Oxford University Press.
33.
go back to reference Murray, C. J. L., & Lopez, A. D. (1996). The global burden of disease: A comprehensive assessment of mortality and disability from deceases, injuries and risk factors in 1990 and projected to 2010. Harvard School of Public Health, 1, 1–35. Murray, C. J. L., & Lopez, A. D. (1996). The global burden of disease: A comprehensive assessment of mortality and disability from deceases, injuries and risk factors in 1990 and projected to 2010. Harvard School of Public Health, 1, 1–35.
34.
go back to reference Whitehead, S. J., & Ali, S. (2010). Health outcomes in economic evaluation: The QALY and utilities. British Medical Bulletin, 96(1), 5–21.PubMedCrossRef Whitehead, S. J., & Ali, S. (2010). Health outcomes in economic evaluation: The QALY and utilities. British Medical Bulletin, 96(1), 5–21.PubMedCrossRef
36.
go back to reference Wonderling, D., Gruen, R., & Black, N. (2005). Introduction to health economics. London: Open University Press. Wonderling, D., Gruen, R., & Black, N. (2005). Introduction to health economics. London: Open University Press.
38.
go back to reference van Reenen, M., & Oppe, M. (2015). EQ-5D-3L user guide (p. 22). Rotterdam: EuroQol Research Foundation. van Reenen, M., & Oppe, M. (2015). EQ-5D-3L user guide (p. 22). Rotterdam: EuroQol Research Foundation.
40.
go back to reference World Bank Group. (2015). Tanzania mainland poverty assessment. Washington DC: World Bank. World Bank Group. (2015). Tanzania mainland poverty assessment. Washington DC: World Bank.
41.
go back to reference Kinsella, K., Phillips, D., Butz, W. P., Bentzen, M. P., & Hokenson, R. F. (2005). Global aging: The challenge of success population reference bureau. Population Bulletin, 60(1), 1–44. Kinsella, K., Phillips, D., Butz, W. P., Bentzen, M. P., & Hokenson, R. F. (2005). Global aging: The challenge of success population reference bureau. Population Bulletin, 60(1), 1–44.
42.
go back to reference Narapureddy, B., Naveen, K. H., Madithati, P., Singh, R. S., & Ra, P. (2012). Socio-demographic profile and health care seeking behaviour of rural geriatric population of Allahabad district of UP: A cross sectional study. International Journal of Medical Science and Public Health, 1(2), 87.CrossRef Narapureddy, B., Naveen, K. H., Madithati, P., Singh, R. S., & Ra, P. (2012). Socio-demographic profile and health care seeking behaviour of rural geriatric population of Allahabad district of UP: A cross sectional study. International Journal of Medical Science and Public Health, 1(2), 87.CrossRef
43.
go back to reference Fonta, C. L., Nonvignon, J., Aikins, M., Nwosu, E., & Aryeetey, G. C. (2017). Predictors of self-reported health among the elderly in Ghana: A cross sectional study. BMC Geriatrics, 17(1), 1–15.CrossRef Fonta, C. L., Nonvignon, J., Aikins, M., Nwosu, E., & Aryeetey, G. C. (2017). Predictors of self-reported health among the elderly in Ghana: A cross sectional study. BMC Geriatrics, 17(1), 1–15.CrossRef
44.
go back to reference Baxter, R., Hastings, N., Law, A., & Glass, E. J. (2008). AU policy framework and plan of action on aging, Vol. 39, Animal Genetics. Nairobi: HelpAge International. Baxter, R., Hastings, N., Law, A., & Glass, E. J. (2008). AU policy framework and plan of action on aging, Vol. 39, Animal Genetics. Nairobi: HelpAge International.
45.
go back to reference Roy, K., & Chaudhuri, A. (2008). Influence of socioeconomic status, wealth and financial empowerment on gender differences in health and healthcare utilization in later life: Evidence from India. Social Science and Medicine, 66(9), 1951–1962.PubMedCrossRef Roy, K., & Chaudhuri, A. (2008). Influence of socioeconomic status, wealth and financial empowerment on gender differences in health and healthcare utilization in later life: Evidence from India. Social Science and Medicine, 66(9), 1951–1962.PubMedCrossRef
46.
go back to reference Marmot, M., & Brunner, E. (2005). Cohort profile: The Whitehall II study. International Journal of Epidemiology, 34(2), 251–256.PubMedCrossRef Marmot, M., & Brunner, E. (2005). Cohort profile: The Whitehall II study. International Journal of Epidemiology, 34(2), 251–256.PubMedCrossRef
47.
go back to reference Lam, J., Yip, T., & Gee, G. (2012). The physical and mental health effects of age of immigration, age, and perceived difference in social status among first generation Asian Americans. Asian American Journal of Psychology, 3(1), 29–43.CrossRef Lam, J., Yip, T., & Gee, G. (2012). The physical and mental health effects of age of immigration, age, and perceived difference in social status among first generation Asian Americans. Asian American Journal of Psychology, 3(1), 29–43.CrossRef
48.
go back to reference Miech, R. A., & Hauser, R. M. (2001). Socioeconomic status and health at midlife: A comparison of educational attainment with occupation-based indicators. Journal of Food Science, 60(1), 181–185. Miech, R. A., & Hauser, R. M. (2001). Socioeconomic status and health at midlife: A comparison of educational attainment with occupation-based indicators. Journal of Food Science, 60(1), 181–185.
51.
go back to reference Tajvar, M., Arab, M., & Montazeri, A. (2008). Determinants of health-related quality of life in elderly in Tehran, Iran. BMC Public Health, 8, 1–8.CrossRef Tajvar, M., Arab, M., & Montazeri, A. (2008). Determinants of health-related quality of life in elderly in Tehran, Iran. BMC Public Health, 8, 1–8.CrossRef
52.
go back to reference Adler, N. E., & Newman, K. (2002). Socioeconomic disparities in health: Pathways and policies. Health Affairs, 21(2), 60–76.PubMedCrossRef Adler, N. E., & Newman, K. (2002). Socioeconomic disparities in health: Pathways and policies. Health Affairs, 21(2), 60–76.PubMedCrossRef
53.
go back to reference Bloom, D. E. (2007). Education, health, and development. Cambridge: American Academy of Arts & Sciences. Bloom, D. E. (2007). Education, health, and development. Cambridge: American Academy of Arts & Sciences.
55.
go back to reference Bassuk, S. S., Berkman, L. F., & Amick, B. C., III. (2002). Socioeconomic status and mortality among the elderly: Findings from four US communities. American Journal of Epidemiology, 155(6), 520–533.PubMedCrossRef Bassuk, S. S., Berkman, L. F., & Amick, B. C., III. (2002). Socioeconomic status and mortality among the elderly: Findings from four US communities. American Journal of Epidemiology, 155(6), 520–533.PubMedCrossRef
56.
go back to reference Hannum, E., & Buchmann, C. (2005). Global educational expansion and socio-economic development: An assessment of findings from the social sciences. World Development, 33(3), 333–354.CrossRef Hannum, E., & Buchmann, C. (2005). Global educational expansion and socio-economic development: An assessment of findings from the social sciences. World Development, 33(3), 333–354.CrossRef
58.
go back to reference Sobhonslidsuk, A., Silpakit, C., Kongsakon, R., & Satitpornkul, P. (2006). Factors influencing health-related quality of life in chronic liver disease. World Journal of Gastroenterology, 12(48), 7786–7791.PubMedPubMedCentralCrossRef Sobhonslidsuk, A., Silpakit, C., Kongsakon, R., & Satitpornkul, P. (2006). Factors influencing health-related quality of life in chronic liver disease. World Journal of Gastroenterology, 12(48), 7786–7791.PubMedPubMedCentralCrossRef
59.
go back to reference Kang, S. H., Ju, Y. J., Yoon, H. J., Lee, S. A., Kim, W., & Park, E. (2018). The relationship between catastrophic health expenditure and health-related quality of life. International Journal for Equity in Health, 17(1), 166.PubMedPubMedCentralCrossRef Kang, S. H., Ju, Y. J., Yoon, H. J., Lee, S. A., Kim, W., & Park, E. (2018). The relationship between catastrophic health expenditure and health-related quality of life. International Journal for Equity in Health, 17(1), 166.PubMedPubMedCentralCrossRef
60.
go back to reference Chang, H. T., Hsu, N. W., Chen, H. C., Tsao, H. M., Lo, S. S., & Chou, P. (2018). Associations between body mass index and subjective health outcomes among older adults: Findings from the Yilan study, Taiwan. International Journal of Environmental Research and Public Health., 15(12), 2645.PubMedCentralCrossRef Chang, H. T., Hsu, N. W., Chen, H. C., Tsao, H. M., Lo, S. S., & Chou, P. (2018). Associations between body mass index and subjective health outcomes among older adults: Findings from the Yilan study, Taiwan. International Journal of Environmental Research and Public Health., 15(12), 2645.PubMedCentralCrossRef
61.
go back to reference Dong, W., Li, Y., Wang, Z., Jiang, Y., Mao, F., Qi, L., et al. (2016). Self-rated health and health-related quality of life among Chinese residents, China, 2010. Health and Quality of Life Outcomes., 14(1), 5.PubMedPubMedCentralCrossRef Dong, W., Li, Y., Wang, Z., Jiang, Y., Mao, F., Qi, L., et al. (2016). Self-rated health and health-related quality of life among Chinese residents, China, 2010. Health and Quality of Life Outcomes., 14(1), 5.PubMedPubMedCentralCrossRef
62.
go back to reference Deluga, A., Kosicka, B., Dobrowolska, B., Chrzan-Rodak, A., Jurek, K., Wrońska, I., et al. (2018). Lifestyle of the elderly living in rural and urban areas measured by the FANTASTIC Life Inventory. The Annals of Agricultural and Environmental Medicine, 25(3), 562–567.PubMedCrossRef Deluga, A., Kosicka, B., Dobrowolska, B., Chrzan-Rodak, A., Jurek, K., Wrońska, I., et al. (2018). Lifestyle of the elderly living in rural and urban areas measured by the FANTASTIC Life Inventory. The Annals of Agricultural and Environmental Medicine, 25(3), 562–567.PubMedCrossRef
63.
64.
go back to reference Ng, N., Kowal, P., Kahn, K., Naidoo, N., Abdullah, S., Bawah, A., et al. (2010). Health inequalities among older men and women in Africa and Asia: Evidence from eight Health and Demographic Surveillance System sites in the INDEPTH WHO-SAGE Study. Global in Health Action, 3(1), 5420. https://doi.org/10.3402/gha.v3i0.5420.CrossRef Ng, N., Kowal, P., Kahn, K., Naidoo, N., Abdullah, S., Bawah, A., et al. (2010). Health inequalities among older men and women in Africa and Asia: Evidence from eight Health and Demographic Surveillance System sites in the INDEPTH WHO-SAGE Study. Global in Health Action, 3(1), 5420. https://​doi.​org/​10.​3402/​gha.​v3i0.​5420.CrossRef
65.
go back to reference Pfarr, C., Schminan, A., & Schneider, U. (2012). Reporting heterogeneity in self-assessed health among elderly Europeans. Health Economics Review, 2(1), 1–14.CrossRef Pfarr, C., Schminan, A., & Schneider, U. (2012). Reporting heterogeneity in self-assessed health among elderly Europeans. Health Economics Review, 2(1), 1–14.CrossRef
Metagegevens
Titel
Can survey data facilitate local priority setting? Experience from the Igunga and Nzega districts in Tanzania
Auteurs
Malale Tungu
Gasto Frumence
Mughwira Mwangu
Anna-Karin Hurtig
Lars Lindholm
Publicatiedatum
13-06-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 11/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02547-w

Andere artikelen Uitgave 11/2020

Quality of Life Research 11/2020 Naar de uitgave