Literature DB >> 21296847

Applying WHO's 'workforce indicators of staffing need' (WISN) method to calculate the health worker requirements for India's maternal and child health service guarantees in Orissa State.

Amy Hagopian1, Manmath K Mohanty, Abhijit Das, Peter J House.   

Abstract

OBJECTIVE: In one district of Orissa state, we used the World Health Organization's Workforce Indicators of Staffing Need (WISN) method to calculate the number of health workers required to achieve the maternal and child health 'service guarantees' of India's National Rural Health Mission (NRHM). We measured the difference between this ideal number and current staffing levels.
METHODS: We collected census data, routine health information data and government reports to calculate demand for maternal and child health services. By conducting 54 interviews with physicians and midwives, and six focus groups, we were able to calculate the time required to perform necessary health care tasks. We also interviewed 10 new mothers to cross-check these estimates at a global level and get assessments of quality of care.
FINDINGS: For 18 service centres of Ganjam District, we found 357 health workers in our six cadre categories, to serve a population of 1.02 million. Total demand for the MCH services guaranteed under India's NRHM outpaced supply for every category of health worker but one. To properly serve the study population, the health workforce supply should be enhanced by 43 additional physicians, 15 nurses and 80 nurse midwives. Those numbers probably under-estimate the need, as they assume away geographic barriers.
CONCLUSIONS: Our study established time standards in minutes for each MCH activity promised by the NRHM, which could be applied elsewhere in India by government planners and civil society advocates. Our calculations indicate significant numbers of new health workers are required to deliver the services promised by the NRHM.

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Mesh:

Year:  2011        PMID: 21296847     DOI: 10.1093/heapol/czr007

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


  21 in total

1.  Study on the Rehabilitation Therapist Estimation Under Institutional Perspective by Applying the Workload Indicators of Staffing Needs in the Aging Context.

Authors:  Qi Jing; Yang Xing; Mingxue Duan; Peiwu Guo; Weiqin Cai; Qianqian Gao; Runguo Gao; Lihong Ji; Jun Lu
Journal:  Front Public Health       Date:  2022-06-16

2.  A Combined Approach for Estimating Health Staff Requirements.

Authors:  Ali Fakhri; Hesam Seyedin; Emmanuelle Daviaud
Journal:  Iran J Public Health       Date:  2014-01       Impact factor: 1.429

3.  Nursing personnel planning for rural hospitals in Burdwan District, West Bengal, India, using workload indicators of staffing needs.

Authors:  Swapnil Shivam; Rabindra Nath Roy; Samir Dasgupta; Krishna Das Bhattacharyya; Raghu Nath Misra; Sima Roy; Saha Indranil
Journal:  J Health Popul Nutr       Date:  2014-12       Impact factor: 2.000

4.  Making the transition to workload-based staffing: using the Workload Indicators of Staffing Need method in Uganda.

Authors:  Grace Namaganda; Vincent Oketcho; Everd Maniple; Claire Viadro
Journal:  Hum Resour Health       Date:  2015-08-31

5.  An economic-research-based approach to calculate community health-staffing requirements in Xicheng District, Beijing.

Authors:  Delu Yin; Tao Yin; Huiming Yang; Qianqian Xin; Lihong Wang; Ninyan Li; Xiaoyan Ding; Bowen Chen
Journal:  Hum Resour Health       Date:  2016-12-07

6.  An assessment of equity in the distribution of non-financial health care inputs across public primary health care facilities in Tanzania.

Authors:  August Kuwawenaruwa; Josephine Borghi; Michelle Remme; Gemini Mtei
Journal:  Int J Equity Health       Date:  2017-07-11

7.  An assessment of staffing needs at a HIV clinic in a Western Kenya using the WHO workload indicators of staffing need WISN, 2011.

Authors:  B Burmen; N Owuor; P Mitei
Journal:  Hum Resour Health       Date:  2017-01-26

8.  Applying the workload indicators of staffing need (WISN) method in Namibia: challenges and implications for human resources for health policy.

Authors:  Pamela A McQuide; Riitta-Liisa Kolehmainen-Aitken; Norbert Forster
Journal:  Hum Resour Health       Date:  2013-12-10

9.  Insights of private general practitioners in group practice on the introduction of National Health Insurance in South Africa.

Authors:  Shabir Moosa; John Luiz; Teresa Carmichael; Wim Peersman; Anselme Derese
Journal:  Afr J Prim Health Care Fam Med       Date:  2016-06-15

10.  Predicting resource-dependent maternal health outcomes at a referral hospital in Zanzibar using patient trajectories and mathematical modeling.

Authors:  Devika Nadkarni; Avijit Minocha; Harshit Harpaldas; Grace Kim; Anuraag Gopaluni; Sara Gravelyn; Sarem Rashid; Anna Helfrich; Katie Clifford; Tanneke Herklots; Tarek Meguid; Benoit Jacod; Darash Desai; Muhammad H Zaman
Journal:  PLoS One       Date:  2019-03-05       Impact factor: 3.240

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