Literature DB >> 31542840

Measuring horizontal inequity in healthcare utilisation: a review of methodological developments and debates.

Mohammad Habibullah Pulok1,2,3, Kees van Gool4, Mohammad Hajizadeh5, Sara Allin6, Jane Hall4.   

Abstract

Equity in healthcare is an overarching goal of many healthcare systems around the world. Empirical studies of equity in healthcare utilisation primarily rely on the horizontal inequity (HI) approach which measures unequal utilisation of healthcare services by socioeconomic status (SES) for equal medical need. The HI method examines, quantifies, and explains inequity which is based on regression analysis, the concentration index, and the decomposition technique. However, this method is not beyond limitations and criticisms, and it has been subject to several methodological challenges in the past decade. This review presents a summary of the recent developments and debates on various methodological issues and their implications on the assessment of HI in healthcare utilisation. We discuss the key disputes centred on measurement scale of healthcare variables as well as the evolution of the decomposition technique. We also highlight the issues about the choice of variables as the indicator of SES in measuring inequity. This follows a discussion on the application of the longitudinal method and use of administrative data to quantify inequity. Future research could exploit the potential for health administrative data linked to social data to generate more comprehensive estimates of inequity across the healthcare continuum. This review would be helpful to guide future applied research to examine inequity in healthcare utilisation.

Keywords:  Concentration index; Healthcare utilisation; Inequity; Methods; Review

Mesh:

Year:  2019        PMID: 31542840     DOI: 10.1007/s10198-019-01118-2

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  10 in total

1.  Inequity in psychiatric healthcare use in Australia.

Authors:  Rubayyat Hashmi; Khorshed Alam; Jeff Gow; Khurshid Alam; Sonja March
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2022-07-09       Impact factor: 4.328

2.  Explaining socioeconomic inequality in cervical cancer screening uptake in Malawi.

Authors:  Gowokani Chijere Chirwa
Journal:  BMC Public Health       Date:  2022-07-18       Impact factor: 4.135

3.  The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults.

Authors:  Farhad Pourfarzi; Satar Rezaei; Telma Zahirian Moghadam; Hamed Zandian; Foad Dibazar
Journal:  BMC Endocr Disord       Date:  2022-07-15       Impact factor: 3.263

4.  Socioeconomic-Related Inequalities in Dental Care Utilization in Northwestern Iran.

Authors:  Satar Rezaei; Mohammad Habibullah Pulok; Telma Zahirian Moghadam; Hamed Zandian
Journal:  Clin Cosmet Investig Dent       Date:  2020-04-28

5.  Income-related inequalities in unmet dental care needs in Spain: traces left by the Great Recession.

Authors:  Rosa M Urbanos-Garrido
Journal:  Int J Equity Health       Date:  2020-11-12

6.  Levels of and changes in socioeconomic inequality in delivery care service: A decomposition analysis using Bangladesh Demographic Health Surveys.

Authors:  Mohammad Habibullah Pulok; Gowokani Chijere Chirwa; Jacob Novignon; Toshiaki Aizawa; Marshall Makate
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

7.  The Apoptotic Properties of Leaf Extracts of Simarouba glauca against Human Leukemic Cancer Cells.

Authors:  Vikas Biba; Sujathan Kunjiraman; Suja Somasekharan Nair Rajam; Sukumaran Anil
Journal:  Asian Pac J Cancer Prev       Date:  2021-04-01

8.  Index-Based Inequality in Quality of Care: An Empirical Comparison of Apples and Pears.

Authors:  Vibe Bolvig Hyldgård; Søren Paaske Johnsen; Rikke Søgaard
Journal:  Clin Epidemiol       Date:  2021-09-03       Impact factor: 4.790

9.  Decomposition of socioeconomic inequalities in the uptake of intermittent preventive treatment of malaria in pregnancy in Nigeria: evidence from Demographic Health Survey.

Authors:  Chijioke Ifeanyi Okoli; Mohammad Hajizadeh; Mohammad Mafizur Rahman; Rasheda Khanam
Journal:  Malar J       Date:  2021-07-03       Impact factor: 2.979

10.  Socioeconomic Inequalities in Child Malnutrition in Bangladesh: Do They Differ by Region?

Authors:  Mohammad Monirul Hasan; Jalal Uddin; Mohammad Habibullah Pulok; Nabila Zaman; Mohammad Hajizadeh
Journal:  Int J Environ Res Public Health       Date:  2020-02-08       Impact factor: 3.390

  10 in total

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