Socioeconomic inequality in barriers for accessing health care among married reproductive aged women in sub-Saharan African countries: a decomposition analysis

被引:21
作者
Alamneh, Tesfa Sewunet [1 ]
Teshale, Achamyeleh Birhanu [1 ]
Yeshaw, Yigizie [1 ,3 ]
Alem, Adugnaw Zeleke [1 ]
Ayalew, Hiwotie Getaneh [4 ]
Liyew, Alemneh Mekuriaw [1 ]
Tessema, Zemenu Tadesse [1 ]
Tesema, Getayeneh Antehunegn [1 ]
Worku, Misganaw Gebrie [2 ]
机构
[1] Univ Gondar, Inst Publ Hlth, Coll Med & Hlth Sci, Dept Epidemiol & Biostat, Gondar, Ethiopia
[2] Univ Gondar, Sch Med, Coll Med & Hlth Sci, Dept Human Anat, Gondar, Ethiopia
[3] Univ Gondar, Sch Med, Coll Med & Hlth Sci, Dept Physiol, Gondar, Ethiopia
[4] Wollo Univ, Sch Nursing & Midwifery, Coll Med & Hlth Sci, Dept Midwifery, Dessie, Ethiopia
关键词
Socioeconomic related inequality; Erreygers Concentration Index; DHS; Decomposition analysis; Barriers for accessing health care; Sub-Saharan Africa; COMPLICATIONS; PREGNANCY; CHILDBIRTH; POVERTY;
D O I
10.1186/s12905-022-01716-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Accessibility of health care is an essential for promoting healthy life, preventing diseases and deaths, and enhancing health equity for all. Barriers in accessing health care among reproductive-age women creates the first and the third delay for maternal mortality and leads to the occurrence of preventable complications related to pregnancy and childbirth. Studies revealed that barriers for accessing health care are concentrated among individuals with poor socioeconomic status which creates health inequality despite many international organizations top priority is enhancing universal health coverage. Therefore, this study aimed to assess the presence of socioeconomic inequality in barriers for accessing health care and its contributors in Sub-Saharan African countries. Methods The most recent DHS data of 33 sub-Saharan African countries from 2010 to 2020 were used. A total sample of 278,501 married reproductive aged were included in the study. Erreygers normalized concentration index (ECI) and its concentration curve were used while assessing the socioeconomic-related inequality in barriers for accessing health care. A decomposition analysis was performed to identify factors contributing for the socioeconomic-related inequality. Results The weighted Erreygers normalized Concentration Index (ECI) for barriers in accessing health care was - 0.289 with Standard error = 0.005 (P value < 0.0001); indicating that barriers in accessing health care was disproportionately concentrated among the poor. The decomposition analysis revealed that wealth index (42.58%), place of residency (36.42%), husband educational level (5.98%), women educational level (6.34%), and mass media exposure (3.07%) were the major contributors for the pro-poor socioeconomic inequalities in barriers for accessing health care. Conclusion In this study, there is a pro-poor inequality in barriers for accessing health care. There is a need to intensify programs that improve wealth status, education level of the population, and mass media coverage to tackle the barriers for accessing health care among the poor.
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页数:10
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共 60 条
  • [1] Abadi MY., 2021, TURK J COMPUT MATH E, V12, P730, DOI [10.17762/turcomat.v12i11.5956, DOI 10.17762/TURCOMAT.V12I11.5956]
  • [2] The socio-economic determinants of maternal health care utilization in Ghana
    Abor, Patience
    Abekah-Nkrumah, Gordon
    Sakyi, Kojo
    Adjasi, Charles
    Abor, Joshua
    [J]. INTERNATIONAL JOURNAL OF SOCIAL ECONOMICS, 2011, 38 (07) : 628 - +
  • [3] Barriers to accessing health care in Nigeria: implications for child survival
    Adedini, Sunday A.
    Odimegwu, Clifford
    Bamiwuye, Olusina
    Fadeyibi, Opeyemi
    De Wet, Nicole
    [J]. GLOBAL HEALTH ACTION, 2014, 7 : 1 - 10
  • [4] Barriers and facilitators to healthcare access for children with disabilities in low and middle income sub-Saharan African countries: a scoping review
    Adugna, Molalign B.
    Nabbouh, Fatima
    Shehata, Selvia
    Ghahari, Setareh
    [J]. BMC HEALTH SERVICES RESEARCH, 2020, 20 (01)
  • [5] Correlates of male involvement in maternal and newborn health: a cross-sectional study of men in a peri-urban region of Myanmar
    Ampt, Frances
    Mon, Myo Myo
    Than, Kyu Kyu
    Khin, May May
    Agius, Paul A.
    Morgan, Christopher
    Davis, Jessica
    Luchters, Stanley
    [J]. BMC PREGNANCY AND CHILDBIRTH, 2015, 15
  • [6] Men of low socio-economic and educational level possess pronounced deficient knowledge about the risk factors related to coronary heart disease
    Andersson, P
    Leppert, J
    [J]. JOURNAL OF CARDIOVASCULAR RISK, 2001, 8 (06): : 371 - 377
  • [7] Arcaya MC, 2015, GLOBAL HEALTH ACTION, V8, DOI 10.3402/gha.v8.27106
  • [8] Audibert M., 2013, FIELD ACTIONS SCI RE
  • [9] Determinants of use of maternal health services in Nigeria - looking beyond individual and household factors
    Babalola, Stella
    Fatusi, Adesegun
    [J]. BMC PREGNANCY AND CHILDBIRTH, 2009, 9 : 43
  • [10] Enablers and barriers in accessing sexual and reproductive health services among visually impaired women in the Ashanti and Brong Ahafo Regions of Ghana
    Badu, Eric
    Gyamfi, Naomi
    Opoku, Maxwell Preprah
    Mprah, Wisdom Kwadwo
    Edusei, Anthony Kweku
    [J]. REPRODUCTIVE HEALTH MATTERS, 2018, 26 (54) : 51 - 60