Cited by 49Environmental and Social Impact AssessmentsGlobal Public Health Policies and EpidemiologyEvaluation and Performance Assessment

Systematic Literature Review of Health Impact Assessments in Low and Middle-Income Countries

Open access
Thondoo, Meelan, Rojas-Rueda, David, Gupta, Joyeeta, de Vries, Daniel H., Nieuwenhuijsen, Mark J.·2019·International Journal of Environmental Research and Public Health

Abstract

Health Impact Assessments (HIAs) motivate effective measures for safeguarding public health. There is consensus that HIAs in low and middle-income countries (LMICs) are lacking, but no study systematically focuses on those that have been successfully conducted across all regions of the world, nor do they highlight factors that may enable or hinder their implementation. Our objectives are to (1) systematically review, geographically map, and characterize HIA activity in LMICs; and (2) apply a process evaluation method to identify factors which are important to improve HIA implementation in LMICs. A systematic review of peer-reviewed HIAs in 156 LMICs was performed in Scopus, Medline, Web of Science, Sociological abstracts, and LILACs (Latin American and Caribbean Health Sciences) databases. The search used PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and covered HIAs across all type of interventions, topics, and health outcomes. HIAs were included if they reported a clear intervention and health outcome to be assessed. No time restriction was applied, and grey literature was not included. The eligible studies were subjected to six process evaluation criteria. The search yielded 3178 hits and 57 studies were retained. HIAs were conducted in 26 out of 156 countries. There was an unequal distribution of HIAs across regions and within LMICs countries. The leading topics of HIA in LMICs were air pollution, development projects, and urban transport planning. Most of the HIAs reported quantitative approaches (72%), focused on air pollution (46%), appraised policies (60%), and were conducted at the city level (36%). The process evaluation showed important variations in the way HIAs have been conducted and low uniformity in the reporting of six criteria. No study reported the time, money, and staff used to perform HIAs. Only 12% of HIAs were based on participatory approaches; 92% of HIAs considered multiple outcomes; and 61% of HIAs provided recommendations and fostered cross-national collaboration. The limited transparency in process, weak participation, and inconsistent delivery of recommendations were potential limitations to HIA implementation in low and middle-income countries. Scaling and improving HIA implementation in low and middle-income countries in the upcoming years will depend on expanding geographically by increasing HIA governance, adapting models and tools in quantitative methods, and adopting better reporting practices.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ijerph16112018

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In low-income countries, HIAs, driven by international institutions and lending organizations, concern large development projects (agricultural or natural resource extraction) and urban transport projects; they are generally integrated into other forms of evaluation.

    “Dans les pays à faibles revenus, les EIS, impulsées par les institutions internationales et organismes de prêt concernent les grands projets de développement, qu'il s'agisse de projets agricoles ou de projets d'extraction de ressources naturelles, et les projets de transports urbains ; elles sont généralement intégrées à d'autres formes d'évaluation [19,20].”

    From L’évaluation d’impact sur la santé pour scruter et sculpter les politiques (2021) · cites this paper as [20]

    Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 125 · Cited by 49

Research works printed but not linked: 3

  1. [35]Taylor L. Quigley R. Health Impact Assessment: A Review of Reviews Health Development Agency London, UK 2002
  2. [36]Mcintyre L. Petticrew M. Methods of Health Impact Assessment: A Literature Review MRC Social & Public Health Science Unit Glasgow, Scotland 1999
  3. [42]Taylor L. Gowman N.Q.R. Evaluating health impact assessment Health Dev. Agency 2003 118 544 552 15530933

Authors
Thondoo, M., Rojas-Rueda, D., Gupta, J., de Vries, D. H., & Nieuwenhuijsen, M. J.
Affiliations
  • Center for Research in Environmental Epidemiology (ES)
  • Barcelona Institute for Global Health (ISGlobal), Centre for Research in Environmental Epidemiology (CREAL), 08003 Barcelona, Spain
  • University of Amsterdam (NL)
  • Amsterdam Institute for Social Science Research (AISSR), University of Amsterdam, 1018 WV Amsterdam, The Netherlands
  • Universitat Pompeu Fabra (ES)
Corresponding author
  • Thondoo, Meelan
  • Nieuwenhuijsen, Mark J.
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2019-06-06
Volume
16
Issue
11
Pages
2018
ISSN
1660-4601 (ISSN-L)
OpenAlex
W2948372557
Cited by
49
References
125
Citations by year
2026: 3 · 2025: 5 · 2024: 5 · 2023: 7 · 2022: 7 · 2021: 7 · 2020: 9 · 2019: 5
FWCI
0.89
Type
journal article
Language
en
Open access
Locations
  • International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (acceptedVersion)
  • Research Bank (Australian Catholic University) (submittedVersion, cc-by)
  • UvA-DARE (University of Amsterdam) (submittedVersion, cc-by)
  • Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental and Social Impact Assessments
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Global Public Health Policies and Epidemiology
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
Keywords
health impact assessment, low- and middle-income countries, process evaluation, air pollution, development projects, urban transportation planning, participatory approach
MeSH terms
Air Pollution, City Planning, Developing Countries, Humans, Poverty, Public Health, Health Impact Assessment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review