A data journey pt 1: from conception to completion

We’re delighted to make available our first research data collection on data.uel. It involved a major survey to demonstrate the take up of healthcare services in one Indian state, compared to another state and to the situation several years earlier. The dataset and associated documentation is available at http://dx.doi.org/10.15123/DATA.4. The project was led by Mala Rao OBE, until recently Professor of International Health in the Institute of Health and Human Development (IHHD) at UEL.

The project was a major international collaboration with contributors from the Administrative Staff College of India (Hyderabad), ACCESS Health International (Hyderabad), SughaVazhvu Healthcare (Thanjavur), Indian School of Business (Hyderabad) and the Development Research Group (DECRG) of The World Bank, Washington, DC as well as colleagues in IHHD. Funding came from Canada (International Development Research Centre), UK (Wellcome Trust and Department for International Development), USA (Rockefeller Foundation) and from the World Bank. Professor Rao wrote a detailed guide to the contributions made to the study in a BMJ Open article reporting on the results:

[Mala Rao] conceived and designed the study, applied for funding, and was responsible for the supervision and management of all aspects of the study as well as the dissemination of its results. She is the guarantor. [Sofi Bergkvist] shared responsibility for the conception of the study, applications for funding, study design and data collation and analysis, contributed to the questionnaire design and commented on drafts of the report. [Prabal V Singh] contributed to the conception of the study and study design, led the questionnaire design and survey implementation, including training of survey staff, monitoring survey progress and data collation and verification, commented on drafts of the report and helped prepare the references. [Anuradha Katyal] undertook the data collation, verification and analysis, assisted with the survey and questionnaire design and survey implementation and prepared the tables for the report. [Amit Samarth] led the literature review, assisted with the study and questionnaire design, survey implementation and preparation and analysis of baseline data, and commented on drafts of the report. [Manjusha Kancharla] helped with the data analysis. [Adam Wagstaff] devised the methodology for the estimation of the programme impacts, advised during the data-collection and data-preparation stages, wrote and implemented the computer code for the model estimation, helped to oversee the production of the results, and contributed text to the report. [Gopalakrishnan Netuveli] provided technical advice on accounting for the complex survey structure in the analysis, developed a STATA equation, helped to compute an asset index, advised on the output tables, verified the analysis and commented on drafts of the report. [Adrian Renton] helped develop a conceptual framework for the evaluation, advised on funding proposals, the study design, analytical methodology and presentation of results and contributed text to the report. [Mala Rao] wrote the first draft of the paper and its redrafts in accordance with the comments of all other authors and reviewers.

It must have been a major undertaking to organise and coordinate research activity on three continents, with concurrent surveys in two Indian states. The data in http://dx.doi.org/10.15123/DATA.4 is available as an SPSS zip file in .SAV format. It comes with extensive documentation: for each of the two states (Andhra Pradesh and Maharashtra) there is

  • Field training manual (detailing how to conduct household surveys in rural areas)
  • Bilingual household listing schedule
  • Household survey tool (the questions asked in the survey)
  • Code book of values encoded in SPSS

In addition, we have linked the data to several publications based on it, as well as to the baseline data from an earlier government survey:

  1. Rao, Mala and Katyal, Anuradha and Singh, Prabal V. and Samarth, Amit and Bergkvist, Sofi and Kancharla, Manjusha and Wagstaff, Adam and Netuveli, Gopalakrishnan and Renton, Adrian (2014) ‘Changes in addressing inequalities in access to hospital care in Andhra Pradesh and Maharashtra states of India: a difference-in-differences study using repeated cross-sectional surveys’, BMJ Open, 4(6), e004471. (10.1136/bmjopen-2013-004471).
  2. Narasimhan, H. and Boddu, V. and Singh, Prabal V. and Katyal, Anuradha and Bergkvist, Sofi and Rao, Mala (2014) ‘The Best Laid Plans: Access to the Rajiv Aarogyasri community health insurance scheme of Andhra Pradesh’, Health, Culture and Society, 6(1) (10.5195/hcs.2014.163).
  3. Bergkvist, Sofi and Wagstaff, Adam and Katyal, Anuradha and Singh, Prabal V. and Samarth, Amit and Rao, Mala (2014) What a difference a state makes: health reform in Andhra Pradesh. Working Paper. New York: World Bank. Available at http://documents.worldbank.org/curated/en/2014/05/19546767/difference-state-makes-health-reform-andhra-pradesh.
  4. Katyal, A., Singh, P. V., Samarth, A., Bergkvist, S., & Rao, M. (2013) ‘Using the Indian National Sample Survey data in public health research’, National Medical Journal of India, 26(5), pp. 291-294. Available at http://www.nmji.in/Volume-26-Issue-5.asp.
  5. Rao, M., Ramachandra, S. S., Bandyopadhyay, S., Chandran, A., Shidhaye, R., Tamisettynarayana, S., Thippaiah, A.,  Sitamma M., Sunil George, M., Singh, V. Sivasakaran, S. and Bangdiwala, S. I. (2011) ‘Addressing healthcare needs of people living below the poverty line: A rapid assessment of the Andhra Pradesh Health Insurance Scheme’, National Medical Journal of India, 24(6), pp. 335-341. Available at http://www.nmji.in/Volume-24-Issue-6.asp.
  6. National Sample Survey Office (2004) ‘Survey on MORBIDITY AND HEALTH CARE: NSS 60th Round : January 2004 – June 2004’, [dataset] New Delhi: MOSPI, 2004. Available at http://mail.mospi.gov.in/index.php/catalog/138.

In the next part of this Data Journey, David will talk about the work involved in archiving and publishing this data collection.