CoChat
Sign Up
Cited by 35

Barriers to accessing health care services: a qualitative study of migrant construction workers in a southwestern Indian city

Santalahti, Maija, Sumit, Kumar, Perkiö, Mikko·2020·BMC Health Services Research
DOI 10.1186/s12913-020-05482-1PMC PMC7339387

Published version of a preprint

Open this paper in CoChat — free account

Abstract

Background: This study examined access to health care in an occupational context in an urban city of India. Many people migrate from rural areas to cities, often across Indian states, for employment prospects. The purpose of the study is to explore the barriers to accessing health care among a vulnerable group – internal migrants working in the construction sector in Manipal, Karnataka. Understanding the lay workers’ accounts of access to health services can help to comprehend the diversity of factors that hinder access to health care. Methods: Individual semi-structured interviews involving 15 migrant construction workers were conducted. The study applied theory-guided content analysis to investigate access to health services among the construction workers. The adductive analysis combined deductive and inductive approaches with the aim of verifying the existing barrier theory in a vulnerable context and further developing the health care access barrier theory. Results: This study’s result is a revised version of the health care access barriers model, including the dimension of trust. Three known health care access barriers – financial, cognitive and structural, as well as the new barrier (distrust in public health care services), were identified among migrant construction workers in a city context in Karnataka, India. Conclusions: Further qualitative research on vulnerable groups would produce a more comprehensive account of access to health care. The socioeconomic status behind access to health care, as well as distrust in public health services, forms focal challenges for any policymaker hoping to improve health services to match people’s needs.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/s12913-020-05482-1

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Mainz (2003) and Santalahti et al. (2020) highlighted issues such as nonavailability of medicine, lack of basic diagnostic facilities, and gross differentiation among providers in care for similar illnesses.

    “These findings align with studies conducted by Mainz (2003)[41] and Santalahti et al. (2020),[38] who highlighted issues such as nonavailability of medicine, lack of basic diagnostic facilities, and gross differentiation among providers in care for similar illnesses.[42]”

    From Identifying the accessibility barriers for chronic disease management in health care delivery system amongst the Urban Poor of Kolkata, West Bengal, India (2025) · cites this paper as [38]

    The Results section (“Distrust in public health services as a barrier”; page not provided) reports problems with the availability of medicine and equipment and describes perceived differences between public and private care. It does not identify the equipment as basic diagnostic facilities or report gross differences in how providers care for similar illnesses. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

  • Lack of information about public health services, high illiteracy rates, and limited access to technology acted as cognitive barriers for individuals with chronic diseases.

    “Santalahti and colleagues in 2020 highlighted how the lack of information about public health services, high illiteracy rates, and limited access to technology acted as cognitive barriers for individuals with chronic diseases.[38]”

    From Identifying the accessibility barriers for chronic disease management in health care delivery system amongst the Urban Poor of Kolkata, West Bengal, India (2025) · cites this paper as [38]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 24

  1. [1]Planning Commission of India Twelfth five-year plan (2012–2017). Social sectors 2013 New Delhi SAGE
  2. [3]Rahman MM Karan A Rahman MS Parsons A Krull AS Bilano V Progress toward universal health coverage: a comparative analysis in 5 south Asian countries JAMA Intern Med 2017 177 9 1297 1305 10.1001/jamainternmed.2017.3133 28759681 PMC5710570 · DOI
  3. [8]Nath R Nath D Li Q Chen W Cui X Impact of drought on agriculture in the indo-Gangetic plain, India Adv Atmos Sci 2017 34 3 335 346 10.1007/s00376-016-6102-2 · DOI
  4. [12]Gideon J Excluded from health? Informal workers’ access to health care in Chile B Lat Am Res 2007 26 2 238 255 10.1111/j.1470-9856.2007.00222.x · DOI
  5. [13]Carrillo JE Carrillo VA Perez HR Salas-Lopez D Natale-Pereira A Byron AT Defining and targeting health care access barriers J Health Care Poor Underserved 2011 22 2 562 575 10.1353/hpu.2011.0037 21551934 · DOI · Paper page
  6. [14]Andersen RM Revisiting the behavioral model and access to medical care: does it matter? J Health Soc Behav 1995 1 1 10 10.2307/2137284 7738325 · DOI · Paper page
  7. [15]Peters DH Garg A Bloom G Walker DG Brieger WR Hafizur RM Poverty and access to health care in developing countries Ann N Y Acad Sci 2008 1136 1 161 171 10.1196/annals.1425.011 17954679 · DOI · Paper page
  8. [16]Russell DJ Humphreys JS Ward B Chisholm M Buykx P McGrail M Helping policy-makers address rural health access problems Aust J Rural Health 2013 21 2 61 71 10.1111/ajr.12023 23586567 · DOI · Paper page
  9. [17]Czapka EA Sagbakken M Where to find those doctors? A qualitative study on barriers and facilitators in access to and utilization of health care services by Polish migrants in Norway BMC Health Serv Res 2016 16 460 10.1186/s12913-016-1715-9 27586150 PMC5007991 · DOI
  10. [18]Hunter-Adams J Rother HA A qualitative study of language barriers between south African health care providers and cross-border migrants BMC Health Serv Res 2017 17 1 97 10.1186/s12913-017-2042-5 28143514 PMC5282629 · DOI
  11. [19]Yin R Case study research: design and methods 2009 4 Thousand Oaks SAGE
  12. [20]Mason J Qualitative researching 1996 1 London SAGE
  13. [22]Tuomi J Sarajärvi A Laadullinen tutkimus ja sisällönanalyysi. [qualitative research and content analysis]. Revised edition 2018 Helsinki Kustannusosakeyhtiö Tammi
  14. [23]Graneheim UH Lindgren BM Lundman B Methodological challenges in qualitative content analysis: a discussion paper Nurse Educ Today 2017 56 29 34 10.1016/j.nedt.2017.06.002 28651100 · DOI
  15. [25]Manning N Guerrero A Llewellyn S Brookes S Mahon A Why do politicians reform? Do they know something about the drivers of trust in government? Trust and confidence in government and public services 2013 New York Routledge 80 120
  16. [26]Pollitt C Chambers N Llewellyn S Brookes S Mahon A Evidence-based trust: a contradiction in terms? Trust and confidence in government and public services 2013 New York Routledge 36 45
  17. [27]Gele AA Ahmed MY Kour P Moallim SA Salad AM Kumar B Beneficiaries of conflict: a qualitative study of people’s trust in the private health care system in Mogadishu, Somalia Risk Manag Healthc Policy 2017 10 127 135 10.2147/RMHP.S136170 28831275 PMC5548277 · DOI
  18. [28]Calnan M Rowe R Researching trust relations in health care: conceptual and methodological challenges – an introduction J Health Organ Manag. 2006 20 349 358 10.1108/14777260610701759 17087399 · DOI
  19. [29]Gilson L Trust in health care: theoretical perspectives and research needs J Health Organ Manag 2006 20 5 359 375 10.1108/14777260610701768 17087400 · DOI
  20. [30]Mahon A Llewellyn S Brookes S Mahon A Relationships in healthcare: trust in transition? Trust and confidence in government and public services 2013 New York Routledge 185 203
  21. [31]Hall MA Dugan E Zheng B Mishra AK Trust in physicians and medical institutions: what is it, can it be measured, and does it matter? Milbank Q 2001 79 613 639 10.1111/1468-0009.00223 11789119 PMC2751209 · DOI
  22. [32]Arokiasamy P Pradhan J Maternal health care in India: access and demand determinants Prim Health Care Res Dev 2013 14 4 373 393 10.1017/S1463423612000552 23308406 · DOI · Paper page
  23. [33]Borah B A mixed logit model of health care provider choice. Analysis of NSS data for rural India Health Econ 2006 15 9 915 932 10.1002/hec.1166 16929482 · DOI
  24. [34]Srivastava D McGuire A The determinants of access to health care and medicines in India Appl Econ 2016 48 17 1618 1632 10.1080/00036846.2015.1105921 · DOI

Cited by

Sorted by citations

Authors
Santalahti, M., Sumit, K., & Perkiö, M.
Venue
BMC Health Services Research
Publisher
Springer Science and Business Media LLC
Published
2020-07-06
Volume
20
Issue
1
ISSN
1472-6963
DOI
10.1186/s12913-020-05482-1
PMC
PMC7339387
Cited by
35
References
1
Language
en
Licence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review