Evidence map›Paper›PMID 25100402›Full record

ArticleInternational health2014

A pragmatic approach to measuring, monitoring and evaluating interventions for improved tuberculosis case detection.

Lucie Blok, Jacob Creswell, Robert Stevens, Miranda Brouwer, Oriol Ramis, Olivier Weil, Paul Klatser, Suvanand Sahu, Mirjam I Bakker

Open access · greenAbstract read
In one paragraph

Article in International health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Lucie BlokKIT Health, Royal Tropical Institute, 1090 HA, Amsterdam, Netherlands.
Jacob CreswellStop TB Partnership, Secretariat 20 Ave Appia, Geneva 1211, Switzerland creswellj@who.int.
Robert StevensHLSP, London, EC4M 7RB, UK.
Miranda BrouwerPHTB Consult, Tilburg, Netherlands.
Oriol RamisHLSP, London, EC4M 7RB, UK.
Olivier WeilHLSP, London, EC4M 7RB, UK.
Paul KlatserKIT Biomedical Research, Royal Tropical Institute, 1105 AZ, Amsterdam, Netherlands.
Suvanand SahuStop TB Partnership, Secretariat 20 Ave Appia, Geneva 1211, Switzerland.
Mirjam I BakkerKIT Biomedical Research, Royal Tropical Institute, 1105 AZ, Amsterdam, Netherlands.
Royal Tropical Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inability to detect all individuals with active tuberculosis has led to a growing interest in new approaches to improve case detection. Policy makers and program staff face important challenges measuring effectiveness of newly introduced interventions and reviewing feasibility of scaling-up successful approaches. While robust research will continue to be needed to document impact and influence policy, it may not always be feasible for all interventions and programmatic evidence is also critical to understand what can be expected in routine settings. The effects of interventions on early and improved tuberculosis detection can be documented through well-designed program evaluations. We present a pragmatic framework for evaluating and measuring the effect of improved case detection strategies using systematically collected intervention data in combination with routine tuberculosis notification data applying historical and contemporary controls. Standardized process evaluation and systematic documentation of program implementation design, cost and context will contribute to explaining observed levels of success and may help to identify conditions needed for success. Findings can then guide decisions on scale-up and replication in different target populations and settings.

Indexed as

Sentinel SurveillanceContact TracingDisease NotificationEpidemiological MonitoringHumansMass ScreeningTuberculosisActive case findingCase detectionScreeningTuberculosis

Identifiers

PMID25100402
PMCPMC4153747
OpenAlexW2125417711

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.