Skip to main content

Advertisement

Log in

Surgical Unmet Need in a Low-Income Area of a Metropolitan City in India: A Cross-Sectional Study

  • Surgery in Low and Middle Income Countries
  • Published:
World Journal of Surgery Aims and scope Submit manuscript

Abstract

Introduction

We investigated the burden of surgical conditions, level of unmet needs and reasons for non-utilization of surgical services in a slum of Ahmedabad, India.

Methods

A community-based cross-sectional study was carried out from August to December 2019. Inclusion criteria was age > 14 years; any type of injury/condition that requires surgery; subject has had surgery in last 1 year, and death information of family members. Data were stored and coded in Microsoft excel and exported to IBM SPSS statistics version 25 software for data analysis. Frequencies and proportions (categorical variable) are used to summarize utilization of surgical services and understanding surgical need. The Surgeons Overseas Assessment of Surgical was used to identify surgical met and unmet needs translated into local language. Open Data Kit software was used to install questionnaire in the “Tablet” to collect information and stress-free workflow in field.

Results

Out of 10,330 population in 2066 households, 7914 were more than 14 years of age. 3.46% (n = 274) people needed surgery; 116 did not avail surgery and were categorized in “unmet need.” Fifty percent of individuals with surgical needs had abdominal- or extremities-related problems followed by eyes surgery need (14%); back, chest and breast surgical need was 13.5%. Seventeen percent of participants with surgical needs had wounds related to injury or accident while 63% had wounds that were not related to injury. Almost all participants had gone to a physician to seek healthcare, however 42% did not avail surgical care needed for a variety of reasons. Forty-six percent of participants needing surgical care underwent major surgical procedure, while 11% had minor procedures. Financial reasons (34.5%) and lack of trust (35.3%) were major reasons for not availing surgical care.

Conclusions and Relevance

Ahmedabad is a relatively high income metropolitan city, has universally free health care and multiple healthcare facilities. Despite this, we have shown that there is significant unmet need for surgical procedures in the low-income population. A unique finding was that most patients sought a consultation but approximately 50% did not avail of the free surgical procedures under the universally free health care system in this city. We propose creation of community healthcare workers focused on surgical conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

SOSAS:

Surgeons OverSeas Assessment of Surgical Need

LMIC:

Low- and middle-income countries

References

  1. Rose J, Weiser TG, Hider P et al (2017) Estimated need for surgery worldwide based on prevalence of diseases: implications for public health planning of surgical services. Lancet Glob Health 3(Suppl 2):s13–s20. https://doi.org/10.1016/S2214-109X(15)70087-2

    Article  Google Scholar 

  2. Nagral S, Hussain M, Nayeem SA, Dias R, Enam SA, Nundy S (2017) Unmet need for surgery in South Asia. BMJ 357:1–3. https://doi.org/10.1136/bmj.j1423

    Article  Google Scholar 

  3. Knowlton LM, Banguti P, Chackungal S et al (2017) A geospatial evaluation of timely access to surgical care in seven countries. Bull World Health Organ 95(6):437–444. https://doi.org/10.2471/blt.16.175885

    Article  PubMed  PubMed Central  Google Scholar 

  4. Ng-Kamstra JS, Greenberg SLM, Abdullah F et al (2016) Global surgery 2030: a roadmap for high income country actors. BMJ Glob Health 1(1):1–11. https://doi.org/10.1136/bmjgh-2015-000011

    Article  Google Scholar 

  5. Holmer H, Bekele A, Hagander L et al (2019) Evaluating the collection, comparability and findings of six global surgery indicators. Br J Surg 106(2):e138–e150. https://doi.org/10.1002/bjs.11061

    Article  CAS  PubMed  Google Scholar 

  6. Grimes CE, Law R, Dare A et al (2017) Cost-Effectiveness of two government district hospitals in Sub-Saharan Africa. World J Surg 41(9):2187–2192. https://doi.org/10.1007/s00268-017-4007-6

    Article  PubMed  PubMed Central  Google Scholar 

  7. Grimes CE, Quaife M, Kamara TB, Lavy CBD, Leather AJM, Bolkan HA (2018) Macroeconomic costs of the unmet burden of surgical disease in Sierra Leone: a retrospective economic analysis. BMJ Open 8(3):1–9. https://doi.org/10.1136/bmjopen-2017-017824

    Article  Google Scholar 

  8. Belle JM, Bang RA, Kelkar D, Østbye T, Lagoo-Deenadayalan SA (2015) Innovative bridging of the rural-urban divide: comparison of scope, safety, and impact of collaborative rural surgery camps and an urban surgical program. World J Surg 39(4):871–878. https://doi.org/10.1007/s00268-014-2678-9

    Article  PubMed  Google Scholar 

  9. TARGET Project - NIHR Global Health Resarch Group. https://ghrgst.nihr.ac.uk/projects/project-rural-surg/. Accessed 10 Jan 2020

  10. Panda B, Thakur HP (2016) Decentralization and health system performance—a focused review of dimensions, difficulties, and derivatives in India. BMC Health Serv Res 16(Suppl 6):1–14. https://doi.org/10.1186/s12913-016-1784-9

    Article  PubMed  PubMed Central  Google Scholar 

  11. Census of India Website: Office of the Registrar General & Census Commissioner, India. https://www.censusindia.gov.in/2011census/population_enumeration.html. Accessed 10 Jan 2020

  12. Weiser TG, Regenbogen SE, Thompson KD et al (2008) An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet 372(9633):139–144. https://doi.org/10.1016/S0140-6736(08)60878-8

    Article  PubMed  Google Scholar 

  13. Alkire BC, Raykar NP, Shrime MG et al (2015) Global access to surgical care: a modelling study. Lancet Glob Health 3(6):e316–e323. https://doi.org/10.1016/S2214-109X(15)70115-4

    Article  PubMed  PubMed Central  Google Scholar 

  14. Meara JG, Leather AJM, Hagander L et al (2016) Global Surgery 2030: evidence and solutions for achieving health, welfare, and economic development. Int J Obstet Anesth 25:75–78. https://doi.org/10.1016/j.ijoa.2015.09.006

    Article  PubMed  Google Scholar 

  15. Income in India - Wikipedia. https://en.wikipedia.org/wiki/Income_in_India. Accessed 10 Jan 2020

  16. Ahmedabad - Wikipedia. https://en.wikipedia.org/wiki/Ahmedabad. Accessed 10 Jan 2020

  17. Van Loenhout JAF, Delbiso TD, Gupta S et al (2017) Barriers to surgical care in Nepal. BMC Health Serv Res 17(1):1–8. https://doi.org/10.1186/s12913-017-2024-7

    Article  Google Scholar 

  18. Cherukupalli S, Bhatia MB, Boeck MA et al (2019) SOSAS study in rural India: using accredited social health activists as enumerators. Ann Glob Health 85(1):35. https://doi.org/10.5334/aogh.2340

    Article  PubMed  PubMed Central  Google Scholar 

  19. Davé DR, Nagarjan N, Canner JK, Kushner AL, Wong GB, SOSAS4 Research Group (2020) Global burden of craniofacial disorders: where should volunteering plastic surgeons and governments focus their care? J Craniofac Surg 31(1):121–124. https://doi.org/10.1097/SCS.0000000000005936

    Article  PubMed  Google Scholar 

  20. Davé DR, Nagarjan N, Canner JK, Kushner AL, Stewart BT, SOSAS4 Research Group (2018) Rethinking burns for low & middle-income countries: differing patterns of burn epidemiology, care seeking behavior, and outcomes across four countries. Burns 44(5):1228–1234. https://doi.org/10.1016/j.burns.2018.01.015

    Article  PubMed  Google Scholar 

  21. Ademuyiwa AO, Odugbemi TO, Bode CO et al (2019) Prevalence of surgically correctable conditions among children in a mixed urban–rural community in Nigeria using the SOSAS survey tool: implications for paediatric surgical capacity-building. PLoS ONE 14(10):e0223423. https://doi.org/10.1371/journal.pone.0223423

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Zafar SN, Canner JK, Nagarajan N, Kushner AL, SOSAS4 Research Group (2018) Road traffic injuries: cross-sectional cluster randomized countrywide population data from 4 low-income countries. Int J Surg 52:237–242. https://doi.org/10.1016/j.ijsu.2018.02.034

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The concept was developed during Rahul M. Jindal’s Fulbright-Nehru scholarship to India (2016).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rahul M. Jindal.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Disclaimer The opinions or assertions contained herein are the private ones of the author/speaker and are not to be construed as official or reflecting the views of the Department of Defense, the Uniformed Services University of the Health Sciences or any other agency of the U.S. Government. No financial conflict of interest exists.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1636 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vora, K., Saiyed, S., Shah, A.R. et al. Surgical Unmet Need in a Low-Income Area of a Metropolitan City in India: A Cross-Sectional Study. World J Surg 44, 2511–2517 (2020). https://doi.org/10.1007/s00268-020-05502-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00268-020-05502-5

Navigation