Evidence map›Paper›PMID 42265684›Full record

SynthesisBMC health services research2026

Conceptualisation and application of implementation strength in public health programmes within health systems: a systematic review.

Waqas Hameed, Bilal Iqbal Avan, Mudassir Uddin

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Waqas HameedDepartment of Statistics, University of Karachi, Karachi, Sindh, Pakistan. waqas.hameed1@gmail.com.
Bilal Iqbal AvanDepartment of Population Health, London School of Hygiene and Tropical Medicine, London, UK.
Mudassir UddinDepartment of Statistics, University of Karachi, Karachi, Sindh, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementation strength (IS), a cardinal concept in the field of implementation science, is used to assess how the implementation of health services and specific health programme influences health outcomes. It offers a unique opportunity to determine how much implementation effort is required to achieve a meaningful level of change in outcomes. Despite its growing use, a lack of conceptual clarity has led to inconsistent measurement and sub-optimal application. We explored how IS is defined, measured, and associated with outcomes, and proposed a set of recommendations for its future use.

methodsUsing an integrated approach combining systematic review and principles of concept analysis, a comprehensive search of PubMed, Scopus, ERIC, and Google Scholar was conducted up to July, 2025. Peer-reviewed theoretical and empirical studies conducted within health systems-regardless of study design, location, or population were eligible for inclusion. JBI tools were used for quality assessment. Data were synthesised using a content analysis approach.

findingsIS is often vaguely defined, with mismatches between its definitions and how it is measured. The concept has primarily been applied to health programmes implemented in real-life settings; however, no study has applied it to routine healthcare services. Studies conceptually-grounded in 2011-13 IS guidance differed notably from their counterparts: they used fewer but more relevant indicators, advanced statistical methods for composite indices, and examined dose-response relationship. Yet, most studies overlooked broader programme components outlined in the WHO monitoring & evaluation framework. Measurement practices varied widely and often conflating IS with implementation fidelity. Few studies analysed the relationship between IS and outcomes, but those that did reported a strong positive association. While half of the studies were of high quality, most lacked a reliable and valid composite IS index.

conclusionOur review comprehensively mapped existing confusion surrounding the conceptualisation of IS, identified shortcomings in its application, and offers a scientifically grounded resolution aimed at standardising its conceptualization and application, thereby enabling consistent comparisons across settings. Strong evidence of a positive relationship between IS and health system outcomes reinforces the value and potential of this approach in strengthening health systems. Future research should focus on developing standardised and validated IS indices across health themes, along with effective and feasible approaches for integrating them into routine health systems for use by health administrators. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Delivery of Health CareImplementation SciencePublic HealthHumansHealthcare servicesHealth programmeHealth systemsImplementation intensityImplementation researchImplementation strengthMonitoringScale up

Identifiers

PMID42265684
PMCPMC13479942

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.