Evidence map›Paper›PMID 23667249›Full record

ArticleJournal of public health (Oxford, England)2014

A Toolkit to assess health needs for congenital disorders in low- and middle-income countries: an instrument for public health action.

L C Nacul, A Stewart, C Alberg, S Chowdhury, M W Darlison, C Grollman, A Hall, B Modell, S Moorthie, G S Sagoo and 1 more

Abstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Provision of rehabilitation for congenital conditions.Bulletin of the World Health Organization · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. 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

11 authors.

L C NaculFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
A StewartFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
C AlbergFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
S ChowdhuryFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
M W DarlisonUCL Centre for Health Informatics and Multiprofessional Education (CHIME), Archway Campus, Highgate Hill, London N19 5LW, UK.
C GrollmanDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, 49-51 Bedford Square, London WC1B 3DP, UK.
A HallFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
B ModellUCL Centre for Health Informatics and Multiprofessional Education (CHIME), Archway Campus, Highgate Hill, London N19 5LW, UK.
S MoorthieFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
G S SagooFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.
H BurtonFoundation for Genomics and Population Health, 2 Worts Causeway, Cambridge CB1 8RN, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2010 the World Health Assembly called for action to improve the care and prevention of congenital disorders, noting that technical guidance would be required for this task, especially in low- and middle-income countries. Responding to this call, we have developed a freely available web-accessible Toolkit for assessing health needs for congenital disorders.

methodsMaterials for the Toolkit website (http://toolkit.phgfoundation.org) were prepared by an iterative process of writing, discussion and modification by the project team, with advice from external experts. A customized database was developed using epidemiological, demographic, socio-economic and health-services data from a range of validated sources. Document-processing and data integration software combines data from the database with a template to generate topic- and country-specific Calculator documents for quantitative analysis.

resultsThe Toolkit guides users through selection of topics (including both clinical conditions and relevant health services), assembly and evaluation of qualitative and quantitative information, assessment of the potential effects of selected interventions, and planning and prioritization of actions to reduce the risk or prevalence of congenital disorders.

conclusionsThe Toolkit enables users without epidemiological or public health expertise to undertake health needs assessment as a prerequisite for strategic planning in relation to congenital disorders in their country or region.

Indexed as

Global HealthHealth Services Needs and DemandPublic Health PracticeCongenital AbnormalitiesDeveloping CountriesHumansInfant, NewbornInformation ServicesInternetNeeds AssessmentPrevalencechromosomal disorderscongenital disordershealth servicespopulation-based and preventative services

Identifiers

PMID23667249
PMCPMC4041098

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Registered trials

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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.