| Literature DB >> 30630416 |
Caroline A Kristunas1, Karla Hemming2, Helen Eborall3, Sandra Eldridge4, Laura J Gray3.
Abstract
BACKGROUND: Stepped-wedge cluster randomised trials (SW-CRTs) are a pragmatic trial design, providing an unprecedented opportunity to increase the robustness of evidence underpinning implementation and quality improvement interventions. Given the complexity of the SW-CRT, the likelihood of trials not delivering on their objectives will be mitigated if a feasibility study precedes the definitive trial. It is not currently known if feasibility studies are being conducted for SW-CRTs nor what the objectives of these studies are.Entities:
Keywords: Cluster randomised trial; Feasibility study; Pilot trial; Stepped-wedge trial; Systematic review
Mesh:
Year: 2019 PMID: 30630416 PMCID: PMC6327386 DOI: 10.1186/s12874-019-0658-3
Source DB: PubMed Journal: BMC Med Res Methodol ISSN: 1471-2288 Impact factor: 4.615
Example search strategy for Ovid MEDLINE
| 1. “pilot*”.mp |
* truncation symbol, for example "pilot*" retrieves "pilots" as well as "pilot"
Fig. 1Flow diagram: The flow of information through the different stages of the systematic review
Characteristics of identified feasibility studies
| Characteristic | Number (%)a |
|---|---|
| Study registered | 5 (45) |
| Report of findings | 8 (73) |
| Protocol | 3 (27) |
| Study described as: | |
| Pilot | 6 (55) |
| Other | 4 (36) |
| Not described | 1 (9) |
| External feasibility study | 8 (73) |
| Internal feasibility study | 2 (18) |
| Unclear | 1 (9) |
| Type of research: | |
| Quantitative | 3 (27) |
| Qualitative | 1 (9) |
| Mixed | 6 (55) |
| Unclear | 1 (9) |
| Quantitative design: | |
| Single-arm | 4 (36) |
| Stepped-wedge | 3 (27) |
| Parallel | 1 (9) |
| Observational | 1 (9) |
| Randomised | 3 (27) |
| Setting: | |
| Health care | 9 (82) |
| Community | 2 (18) |
| Cluster type: | |
| Hospitals | 3 (27) |
| Wards | 4 (36) |
| Clinics | 2 (18) |
| Geographical areas | 2 (18) |
| Study duration (months) (median (IQR)) | 12 (4.7, 15) |
| Number of clusters (median (IQR)) | 3.5 (1.8, 6) |
| Participant type: | |
| Healthcare professionals | 1 (9) |
| Patients | 5 (45) |
| Both healthcare professionals and patients | 4 (36) |
| Other | 1 (9) |
| Number of participants (median (IQR)) | 109 (35, 2220) |
| Rational for sample size: | |
| Convenience sample | 6 (55) |
| Calculation based on the main clinical outcome | 2 (18) |
| Not stated | 3 (27) |
awith denominator the total number of studies (n = 11) unless otherwise stated, IQR interquartile range
Rationales given for conducting the identified feasibility studies
| Rationales given | Number |
|---|---|
| Process type motivations (n = 11): | |
| Acceptability of intervention | 7 |
| Identify issues/barriers to implementation | 6 |
| Adherence to intervention | 4 |
| Development of intervention | 3 |
| Retention rate estimation | 3 |
| Determining outcome measures | 2 |
| Test data collection methods | 2 |
| Assess amount of missing data | 2 |
| Othera | 5 |
| Resource type motivations ( | |
| Resources used in intervention | 1 |
| Post-intervention impact on service use and staff time | 1 |
| Time taken to complete study procedures | 1 |
| Waiting and consultation times | 1 |
| Patient volumes and staffing levels during study | 1 |
| Management type motivations ( | |
| None reported | 11 |
| Scientific type motivations ( | |
| Potential effectiveness of intervention | 5 |
| Assess cost-effectiveness/theoretical cost saving | 3 |
| Inform sample size calculation | 3 |
| Assess intervention safety | 2 |
| Estimate Intra Cluster Correlation Coefficient (ICC) | 1 |
| Assess correlation between measures | 1 |
| Assess distributional properties of measures | 1 |
aparticipant satisfaction; assess values-treatment concordance; acceptability relevance and importance of trial; test sampling methodologies; test feasibility of using stepped-wedge design
n = the number of studies that gave any motivation of this type