Evidence map›Paper›PMID 34184237›Full record

SynthesisApplied health economics and health policy2021

National Methodological Guidelines to Conduct Budget Impact Analysis for Health Technology Assessment in India.

Shankar Prinja, Yashika Chugh, Kavitha Rajsekar, V R Muraleedharan

Abstract readSystematic Review
In one paragraph

Synthesis in Applied health economics and health policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
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  9. Article
  10. Review
  11. Article
  12. Budget impact analysis of breast cancer medications: a systematic review.Journal of pharmaceutical policy and practice · 2022
    Review
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shankar PrinjaDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh, 160012, India. shankarprinja@gmail.com.ORCID 0000-0001-7719-6986
Yashika ChughDepartment of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Sector-12, Chandigarh, 160012, India.
Kavitha RajsekarDepartment of Health Research, Ministry of Health and Family Welfare, Government of India, New Delhi, India.
V R MuraleedharanDepartment of Humanities and Social Sciences, Centre for Technology and Policy (CTaP), Indian Institute of Technology, Madras, India.

Funding

Department of Health Research, Government of India No. T 11011/02/2017-HR
6 · The paper itself

Abstract

objectiveOur paper aims to present Budget Impact Analysis (BIA) guidelines for health technology assessment (HTA) in India. METHODOLOGY: A Systematic Literature Review (SLR) was conducted to retrieve information on existing BIA guidelines internationally. The initial set of principles for India were put together based on an interactive process between authors, taking into consideration the existing evidence on BIA and features of Indian healthcare system. These were reviewed by Technical Appraisal Committee (TAC) of Health Technology Assessment in India (HTAIn) for their inputs. Three rounds of consultations were held before finalising the guidelines. Finally, user feedback on the draft guidelines was obtained from the policy makers and programme managers involved in the budgeting decisions.

resultsWe recommend a payer's perspective, which will include both a multi-payer (depicting the current situation in India) and a single-payer scenario (which reflects a futuristic universal health care situation). A time horizon of 1-4 years is recommended. For estimation of eligible population, a top-down approach is considered appropriate. The future and current mix of interventions should be analysed for different utilisation and coverage patterns. We do not recommend discounting; however, inflation adjustments should be performed. The presentation of results should include total and disaggregated results, segregated year-wise throughout the chosen time horizon, as well as segregated by the type of resources. Deterministic sensitivity analysis and scenario analysis are recommended to address uncertainty.

conclusionOur recommendations, which are tailored for the Indian healthcare and financing context, aim to promote consistency and transparency in the conduct as well as reporting of the BIA. BIA should be used along with evidence from economic evaluation for decision making, and not as a substitute to evidence on value for money.

Indexed as

BudgetsTechnology Assessment, BiomedicalCost-Benefit AnalysisHumansIndiaUncertainty

Identifiers

PMID34184237
PMCPMC8238667

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.