Evidence map›Paper›PMID 21371210›Full record

ArticleTropical medicine & international health : TM & IH2011

Viewpoint: Economic evaluation of package of care interventions employing clinical guidelines.

Edwine W Barasa, Mike English

Abstract read
In one paragraph

Article in Tropical medicine & international health : TM & IH, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. SEEP-CI: A Structured Economic Evaluation Process for Complex Health System Interventions.International journal of environmental research and public health · 2020
    Article
  2. Article
  3. 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

2 authors.

Edwine W BarasaKEMRI Centre for Geographic Medicine Research - Coast, and Wellcome Trust Research Programme, Nairobi, Kenya. edwine.halton@gmail.com
Mike English

Funding

Wellcome Trust 076827Wellcome Trust 084538Wellcome Trust 097170
6 · The paper itself

Abstract

Increasingly attention is shifting towards delivering essential packages of care, often based on clinical practice guidelines, as a means to improve maternal, child and newborn survival in low-income settings. Cost effectiveness analysis (CEA), allied to the evaluation of less complex intervention, has become an increasingly important tool for priority setting. Arguably such analyses should be extended to inform decisions around the deployment of more complex interventions. In the discussion, we illustrate some of the challenges facing the extension of CEA to this area. We suggest that there are both practical and methodological challenges to overcome when conducting economic evaluation for packages of care interventions that incorporate clinical guidelines. Some might be overcome by developing specific guidance on approaches, for example clarity in identifying relevant costs. Some require consensus on methods. The greatest challenge, however, lies in how to incorporate, as measures of effectiveness, process measures of service quality. Questions on which measures to use, how multiple measures might be combined, how improvements in one area might be compared with those in another and what value is associated with improvement in health worker practices are yet to be answered.

Indexed as

Practice Guidelines as TopicChildChild Health ServicesChild, PreschoolCost-Benefit AnalysisDelivery of Health CareEvidence-Based MedicineFemaleHealth Services ResearchHealth Status IndicatorsHumansInfantInfant, NewbornMaternal Health Services

Identifiers

PMID21371210
PMCPMC3276840

What OpenQuestion holds

Textmetadata
LicenceTDM
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.