Wealth-related inequalities of women's knowledge of cervical cancer screening and service utilisation in 18 resource-constrained countries: evidence from a pooled decomposition analysis.


Journal

International journal for equity in health
ISSN: 1475-9276
Titre abrégé: Int J Equity Health
Pays: England
ID NLM: 101147692

Informations de publication

Date de publication:
26 03 2020
Historique:
received: 11 12 2019
accepted: 09 03 2020
entrez: 29 3 2020
pubmed: 29 3 2020
medline: 11 11 2020
Statut: epublish

Résumé

Resource-constrained countries (RCCs) have the highest burden of cervical cancer (CC) in the world. Nonetheless, although CC can be prevented through screening for precancerous lesions, only a small proportion of women utilise screening services in RCCs. The objective of this study was to examine the magnitude of inequalities of women's knowledge and utilisation of cervical cancer screening (CCS) services in RCCs. A total of 1,802,413 sample observations from 18 RCC's latest national-level Demographic and Health Surveys (2008 to 2017-18) were analysed to assess wealth-related inequalities in terms of women's knowledge and utilisation of CCS services. Regression-based decomposition analyses were applied in order to compute the contribution to the inequality disparities of the explanatory variables for women's knowledge and utilisation of CCS services. Overall, approximately 37% of women had knowledge regarding CCS services, of which, 25% belonged to the poorest quintile and approximately 49% from the richest. Twenty-nine percent of women utilised CCS services, ranging from 11% in Tajikistan, 15% in Cote d'Ivoire, 17% in Tanzania, 19% in Zimbabwe and 20% in Kenya to 96% in Colombia. Decomposition analyses determined that factors that reduced inequalities in women's knowledge of CCS services were male-headed households (- 2.24%; 95% CI: - 3.10%, - 1.59%; P < 0.01), currently experiencing amenorrhea (- 1.37%; 95% CI: - 2.37%, - 1.05%; P < 0.05), having no problems accessing medical assistance (- 10.00%; 95% CI: - 12.65%, - 4.89%; P < 0.05), being insured (- 6.94%; 95% CI: - 9.58%, - 4.29%; P < 0.01) and having an urban place of residence (- 9.76%; 95% CI: - 12.59%, - 5.69%; P < 0.01). Similarly, factors that diminished inequality in the utilisation of CCS services were being married (- 8.23%;95% CI: - 12.46%, - 5.80%; P < 0.01), being unemployed (- 14.16%; 95% CI: - 19.23%, - 8.47%; P < 0.01) and living in urban communities (- 9.76%; 95% CI: - 15.62%, - 5.80%; P < 0.01). Women's knowledge and utilisation of CCS services in RCCs are unequally distributed. Significant inequalities were identified among socioeconomically deprived women in the majority of countries. There is an urgent need for culturally appropriate community-based awareness and access programs to improve the uptake of CCS services in RCCs.

Identifiants

pubmed: 32216799
doi: 10.1186/s12939-020-01159-7
pii: 10.1186/s12939-020-01159-7
pmc: PMC7098106
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

42

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Auteurs

Rashidul Alam Mahumud (RA)

School of Social Sciences, Western Sydney University, Penrith-2751, New South Wales, Australia. rashidul.icddrb@gmail.com.
Translational Health Research Institute (THRI), Western Sydney University, Sydney, New South Wales, Australia. rashidul.icddrb@gmail.com.
Health Economics Research, Health Systems and Population Studies Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Dhaka, 1212, Bangladesh. rashidul.icddrb@gmail.com.
Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia. rashidul.icddrb@gmail.com.
School of Commerce, University of Southern Queensland, Toowoomba, QLD, 4350, Australia. rashidul.icddrb@gmail.com.

Syed Afroz Keramat (SA)

Economics Discipline, Social Science School, Khulna University, Khulna, 9208, Bangladesh.

Gail M Ormsby (GM)

Professional Studies, Faculty of Business, Education, Law and Arts, University of southern Queensland, Toowoomba, QLD, 4350, Australia.

Marufa Sultana (M)

Nutrition and Clinical Services Division, International Centre for Diarrheal Disease Research, Bangladesh (icddr,b), Dhaka-1212, Bangladesh.
Deakin Health Economics, School of Health and Social Development, Deakin University, Geelong, Victoria, Australia.

Lal B Rawal (LB)

School of Health Medical and Allied Sciences, CQUniversity Sydney, Sydney, New South Wales, Australia.

Khorshed Alam (K)

Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
School of Commerce, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.

Jeff Gow (J)

Health Economics and Policy Research, Centre for Health, Informatics and Economic Research, University of Southern Queensland, Toowoomba, Queensland, 4350, Australia.
School of Commerce, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.
School of Accounting, Economics and Finance, University of KwaZulu-Natal, Durban, 4000, South Africa.

Andre M N Renzaho (AMN)

School of Social Sciences, Western Sydney University, Penrith-2751, New South Wales, Australia.
Translational Health Research Institute (THRI), Western Sydney University, Sydney, New South Wales, Australia.

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Classifications MeSH