Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 480

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Hospital-based interventions: a systematic review of staff-reported barriers and facilitators to implementation processes

Open access
Geerligs, Liesbeth, Rankin, Nicole M., Shepherd, Heather L., Butow, Phyllis·2018·Implementation Science

Abstract

BACKGROUND: Translation of evidence-based interventions into hospital systems can provide immediate and substantial benefits to patient care and outcomes, but successful implementation is often not achieved. Existing literature describes a range of barriers and facilitators to the implementation process. This systematic review identifies and explores relationships between these barriers and facilitators to highlight key domains that need to be addressed by researchers and clinicians seeking to implement hospital-based, patient-focused interventions. METHODS: We searched MEDLINE, PsychInfo, Embase, Web of Science, and CINAHL using search terms focused specifically on barriers and facilitators to the implementation of patient-focused interventions in hospital settings. To be eligible, papers needed to have collected formal data (qualitative or quantitative) that specifically assessed the implementation process, as experienced by the staff involved. RESULTS: Of 4239 papers initially retrieved, 43 papers met inclusion criteria. Staff-identified barriers and facilitators to implementation were grouped into three main domains: system, staff, and intervention. Bi-directional associations were evident between these domains, with the strongest links evident between staff and intervention. CONCLUSIONS: Researchers and health professionals engaged in designing patient-focused interventions need to consider barriers and facilitators across all three identified domains to increase the likelihood of implementation success. The interrelationships between domains are also crucial, as resources in one area can be leveraged to address barriers in others. These findings emphasize the importance of careful intervention design and pre-implementation planning in response to the specific system and staff context in order to increase likelihood of effective and sustainable implementation. TRIAL REGISTRATION: This review was registered on the PROSPERO database: CRD42017057554 in February 2017.

Overview

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 · 10.1186/s13012-018-0726-9

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Verification

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

Self-check

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

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

Citations

Cites

Show all 18 references

Cited by

Metadata

Authors
Geerligs, L., Rankin, N. M., Shepherd, H. L., & Butow, P.
Venue
Implementation Science
Published
2018-02-23
Volume
13
Issue
1
Pages
36-36
ISSN
1748-5908 (ISSN-L)
OpenAlex
W2797942965
Cited by
480
References
18
FWCI
8.57
Type
journal article
Language
en
Open access
gold

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.