References
- Alexopoulos C, Zuiderwijk A, Charapabidis Y, et al. Designing a second generation of open data platforms: integrating open data and social media. In: Janssen M, Scholl HJ, Wimmer MA, et al. editors. Electron. Gov. [Internet]. Berlin, Heidelberg: Springer Berlin Heidelberg; 2014 [cited 2018 Jul 25]. p. 230–9. Available from: http://link.springer.com/10.1007/978-3-662-44426-9_19
- Attard J, Orlandi F, Scerri S, et al. A systematic review of open government data initiatives. Gov Inf Q. 2015;32:399–418.
- Chattapadhyay S. Access and use of government data by research and advocacy organisations in India: a survey of (potential) open data ecosystem. Proc. 8th Int. Conf. Theory Pract. Electron. Gov. [Internet]. New York (NY): ACM; 2014 [cited 2018 Jul 25]. p. 361–364. Available from: http://doi.acm.org/10.1145/2691195.2691262
- Jetzek T, Avital M, Bjorn-Andersen N. The value of open government data: a strategic analysis framework. 2012. p. 12. CBS Research Portal Logo: https://research.cbs.dk/en/publications/the-value-of-open-government-data-a-strategic-analysis-framework
- Hut-Mossel L, Welker G, Ahaus K, et al. Understanding how and why audits work: protocol for a realist review of audit programmes to improve hospital care. BMJ Open [Internet]. 2017 [cited 2018 Oct 8];7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5541620/
- Sandefur J, Glassman A The political economy of bad data: evidence from African survey & administrative statistics - working paper 373 [Internet]. Cent Glob Dev. 2014 [cited 2018 May 18]. Available from: https://www.cgdev.org/publication/political-economy-bad-data-evidence-african-survey-administrative-statistics-working
- Masood A, Lodhi RN. Factors affecting the success of government audits: a case study of Pakistan. Universe J Manage. 2015;3(2):52–62. DOI:10.13189/ujm.2015.030202
- Chalkidou K, Marquez P, Dhillon PK, et al. Evidence-informed frameworks for cost-effective cancer care and prevention in low, middle, and high-income countries. Lancet Oncol. 2014;15:e119–e131.
- Commission on Evidence-Based Policy Making. Commission on evidence-based policymaking releases final report [Internet]. 2017. p. 1. Available from: https://www.cep.gov/news/sept6news.html
- OCED. Strengthening health information infrastructure for health care quality governance: good practices, new opportunities and data privacy protection challenges [Internet]. Paris: OECD Publishing; 2013 [cited 2018 May 15].
- Anderson GL, Burns CJ, Larsen J, et al. Use of administrative data to increase the practicality of clinical trials: insights from the women’s health initiative. Clin Trials Lond Engl. 2016;13:519–526.
- Braham RA, Finch CF. The reliability of team-based primary data collectors for the collection of exposure and protective equipment use data in community sport. Br J Sports Med. 2004;38:E15.
- Davis P, Milne B, Parker K, et al. Efficiency, effectiveness, equity (E3). Evaluating hospital performance in three dimensions. Health Policy. 2013;112:19–27.
- Downey L, Rao N, Guinness L, et al. Identification of publicly available data sources to inform the conduct of health technology assessment in India. F1000Res. 2018;7:245.
- Morton M, Nagpal S, Sadanandan R, et al. India’s largest hospital insurance program faces challenges in using claims data to measure quality. Health Aff Proj Hope. 2016;35:1792–1799.
- Otieno CF, Kaseje D, Ochieng’ BM, et al. Reliability of community health worker collected data for planning and policy in a peri-urban area of Kisumu, Kenya. J Community Health. 2012;37:48–53.
- Lancet T. Stemming the global caesarean section epidemic. Lancet. 2018;392:1279.
- World Health Organization. WHO statement on caesarean section rates. Human reproduction programme (HRP): research for impact. Available from: https://apps.who.int/iris/bitstream/handle/10665/161442/WHO_RHR_15.02_eng.pdf;jsessionid=C0795F80C382D0461C13C6532EBD6B4E?sequence=1
- Sandall J, Tribe RM, Avery L, et al. Short-term and long-term effects of caesarean section on the health of women and children. Lancet. 2018;392:1349–1357.
- Fadel SA, Ram U, Morris SK, et al. Facility delivery, postnatal care and neonatal deaths in India: nationally-representative case-control studies. PLoS One. 2015;10:e0140448.
- National Health Mission. Record of proceeding: Uttar Pradesh 2017-2018 [Internet]. Ministry of Health and Welfare, Government of India; 2017 [cited 2018 Sep 4]. Available from: http://nhm.gov.in/nrhm-in-state/state-program-implementation-plans-pips/uttar-pradesh.html
- Singh S, Doyle P, Campbell OM, et al. Referrals between public sector health institutions for women with obstetric high risk, complications, or emergencies in India - a systematic review. PLoS One. 2016;11:e0159793.
- Institute for Health Metrics and Evaluation. India health management information system (HMIS) | GHDx. 2019 [cited 2019 May 4]. Available from: http://ghdx.healthdata.org/series/india-health-management-information-system-hmis
- Donabedian A. Evaluating the quality of medical care. Milbank Q. 2005;83:691–729.
- Health Statistics and Information Systems. Service availability and readiness assessment (SARA): an annual monitoring system for service delivery [Internet]. World Health Organization (WHO); 2015 [cited 2018 Jun 4]. p. 178. Report No.: 2.2. Available from: https://www.who.int/healthinfo/systems/SARA_Reference_Manual_Full.pdf
- Hill S. Putting the priorities first: medicines for maternal and child health. Bull World Health Organ. 2012;90:87.
- Nesbitt RC, Lohela TJ, Manu A, et al. Quality along the continuum: a health facility assessment of intrapartum and postnatal care in Ghana. Plos One. 2013;8:e81089.
- Sheffel A, Karp C, Creanga AA. Use of service provision assessments and service availability and readiness assessments for monitoring quality of maternal and newborn health services in low-income and middle-income countries. BMJ Glob Health [Internet]. 2018 [cited 2019 Mar 8];3. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267320/
- Demographic and Health Surveys Program. SPA overview. DHS Program. 2018 [cited 2019 Mar 7]. Available from: https://dhsprogram.com/What-We-Do/Survey-Types/SPA.cfm.
- Stata. Stata statistical software: release 12. College Station 755 (TX): StataCorp LP; 2015.
- Chace Z How perverse incentives drive up health care costs [Internet]. Planet Money. NPR; 2014 [cited 2018 Jun 4]. Available from: https://www.npr.org/2014/01/16/262946913/how-perverse-incentives-drive-up-health-care-costs
- Weeks J. “Perverse incentives” and the triple aim: overcoming the troubled path to economic integration for integrative medicine and health. Glob Adv Health Med. 2015;4:7–9.
- Palmer N, Mueller DH, Gilson L, et al. Health financing to promote access in low income settings—how much do we know? Lancet. 2004;364:1365–1370.
- Martin EG, Begany GM. Opening government health data to the public: benefits, challenges, and lessons learned from early innovators. J Am Med Inform Assoc. 2017;24:345–351.
- National Portal of India. Ayushman Bharat - national health protection mission [Internet]. Gov. India. 2018 [cited 2018 Sep 17]. Available from: http://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=1518544.
- National Health Authority. Everyday PM-Jay update. Government of India. 2019 [cited 2019 Mar 7]. Available from: https://www.pmjay.gov.in.
- Bernard RP, Bhatt RV, Potts DM, et al. Seasonality of birth in India. J Biosoc Sci. 1978;10:409–421.
- Lam DA, Miron JA. Seasonality of births in human populations. Soc Biol. 1991;38:51–78.