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CHSI costing study-Challenges and solutions for cost data collection in private hospitals in India.
Singh, Maninder Pal; Popli, Riya; Brar, Sehr; Rajsekar, Kavitha; Sachin, Oshima; Naik, Jyotsna; Kumar, Sanjay; Sinha, Setu; Singh, Varsha; Patel, Prakash; Verma, Ramesh; Hazra, Avijit; Misra, Raghunath; Mehrotra, Divya; Biswal, Sashi Bhusan; Panigrahy, Ankita; Gaur, Kusum Lata; Pankaj, Jai Prakash; Sharma, Dharmesh Kumar; Madhavi, Kondeti; Madhusudana, Pulaganti; Narayanasamy, K; Chitra, A; Velhal, Gajanan D; Bhondve, Amit S; Bahl, Rakesh; Kaur, Sharminder; Prinja, Shankar.
Affiliation
  • Singh MP; Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
  • Popli R; Department of Global Health & Development, London School of Hygiene & Tropical Medicine, London, United Kingdom.
  • Brar S; Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
  • Rajsekar K; Department of Community Medicine & School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
  • Sachin O; Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
  • Naik J; Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
  • Kumar S; Department of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
  • Sinha S; Indira Gandhi Institute of Medical Science, Patna, Bihar, India.
  • Singh V; Indira Gandhi Institute of Medical Science, Patna, Bihar, India.
  • Patel P; Indira Gandhi Institute of Medical Science, Patna, Bihar, India.
  • Verma R; Surat Municipal Institute of Medical Education & Research, Surat, Gujarat, India.
  • Hazra A; Pt. B.D.Sharma Post Graduate Institute of Medical Sciences, Rohtak, Haryana, India.
  • Misra R; Institute of Postgraduate Medical Education & Research, Kolkata, West Bengal, India.
  • Mehrotra D; Institute of Postgraduate Medical Education & Research, Kolkata, West Bengal, India.
  • Biswal SB; King George's Medical University, Lucknow, Uttar Pradesh, India.
  • Panigrahy A; Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, India.
  • Gaur KL; Veer Surendra Sai Institute of Medical Sciences and Research, Burla, Odisha, India.
  • Pankaj JP; Sawai Man Singh Medical College, Jaipur, Rajasthan, India.
  • Sharma DK; Sawai Man Singh Medical College, Jaipur, Rajasthan, India.
  • Madhavi K; Sawai Man Singh Medical College, Jaipur, Rajasthan, India.
  • Madhusudana P; Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, India.
  • Narayanasamy K; Sri Venkateswara Medical College, Tirupati, Andhra Pradesh, India.
  • Chitra A; Madras Medical College, Chennai, Tamil Nadu, India.
  • Velhal GD; Madras Medical College, Chennai, Tamil Nadu, India.
  • Bhondve AS; Seth G S Medical College & KEM Hospital, Mumbai, Maharashtra, India.
  • Bahl R; Seth G S Medical College & KEM Hospital, Mumbai, Maharashtra, India.
  • Kaur S; Government Medical College, Jammu, Jammu & Kashmir, India.
  • Prinja S; Government Medical College, Jammu, Jammu & Kashmir, India.
PLoS One ; 17(12): e0276399, 2022.
Article in En | MEDLINE | ID: mdl-36508431
ABSTRACT

INTRODUCTION:

Ayushman Bharat Pradhan Mantri Jan Aarogya Yojana (AB PM-JAY) has enabled the Government of India to become a strategic purchaser of health care services from private providers. To generate base cost evidence for evidence-based policymaking the Costing of Health Services in India (CHSI) study was commissioned in 2018 for the price setting of health benefit packages. This paper reports the findings of a process evaluation of the cost data collection in the private hospitals.

METHODS:

The process evaluation of health system costing in private hospitals was an exploratory survey with mixed methods (quantitative and qualitative). We used three approaches-an online survey using a semi-structured questionnaire, in-depth interviews, and a review of monitoring data. The process of data collection was assessed in terms of time taken for different aspects, resources used, level and nature of difficulty encountered, challenges and solutions.

RESULTS:

The mean time taken for data collection in a private hospital was 9.31 (± 1.0) person months including time for obtaining permissions, actual data collection and entry, and addressing queries for data completeness and quality. The longest time was taken to collect data on human resources (30%), while it took the least time for collecting information on building and space (5%). On a scale of 1 (lowest) to 10 (highest) difficulty levels, the data on human resources was the most difficult to collect. This included data on salaries (8), time allocation (5.5) and leaves (5).

DISCUSSION:

Cost data from private hospitals is crucial for mixed health systems. Developing formal mechanisms of cost accounting data and data sharing as pre-requisites for empanelment under a national insurance scheme can significantly ease the process of cost data collection.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Government Programs / Health Services Type of study: Health_economic_evaluation / Qualitative_research Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: India

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Government Programs / Health Services Type of study: Health_economic_evaluation / Qualitative_research Aspects: Determinantes_sociais_saude Limits: Humans Country/Region as subject: Asia Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2022 Document type: Article Affiliation country: India
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