| Literature DB >> 26904977 |
Adegboyega K Lawal1, Thomas Rotter2, Leigh Kinsman3, Andreas Machotta4, Ulrich Ronellenfitsch5, Shannon D Scott6, Donna Goodridge7, Christopher Plishka8, Gary Groot9.
Abstract
Clinical pathways (CPWs) are a common component in the quest to improve the quality of health. CPWs are used to reduce variation, improve quality of care, and maximize the outcomes for specific groups of patients. An ongoing challenge is the operationalization of a definition of CPW in healthcare. This may be attributable to both the differences in definition and a lack of conceptualization in the field of clinical pathways. This correspondence article describes a process of refinement of an operational definition for CPW research and proposes an operational definition for the future syntheses of CPWs literature. Following the approach proposed by Kinsman et al. (BMC Medicine 8(1):31, 2010) and Wieland et al. (Alternative Therapies in Health and Medicine 17(2):50, 2011), we used a four-stage process to generate a five criteria checklist for the definition of CPWs. We refined the operational definition, through consensus, merging two of the checklist's criteria, leading to a more inclusive criterion for accommodating CPW studies conducted in various healthcare settings. The following four criteria for CPW operational definition, derived from the refinement process described above, are (1) the intervention was a structured multidisciplinary plan of care; (2) the intervention was used to translate guidelines or evidence into local structures; (3) the intervention detailed the steps in a course of treatment or care in a plan, pathway, algorithm, guideline, protocol or other 'inventory of actions' (i.e. the intervention had time-frames or criteria-based progression); and (4) the intervention aimed to standardize care for a specific population. An intervention meeting all four criteria was considered to be a CPW. The development of operational definitions for complex interventions is a useful approach to appraise and synthesize evidence for policy development and quality improvement.Entities:
Mesh:
Year: 2016 PMID: 26904977 PMCID: PMC4765053 DOI: 10.1186/s12916-016-0580-z
Source DB: PubMed Journal: BMC Med ISSN: 1741-7015 Impact factor: 8.775
Observed and expected percentage agreement; data layout
| CP | |||
|---|---|---|---|
| AB | Include | Pending | Totals |
| Include | 17a | 0b | 17m1 |
| Exclude | 0c | 3d | 3m0 |
| Totals | 17n1 | 3n0 | 20n |
(a) and (d) represent the number of times the two observers agree while (b) and (c) represent the number of times the two observers disagree, m1 = row total number for inclusions, m0 = row total number of exclusions,n1 = column total for inclusions, n0 = column total for exclusions
Inter-rater reliability analysis of 20 articles on clinical pathways in hospital care; data layout
| AB * CP | Cross-tabulation | |||
|---|---|---|---|---|
| Count | ||||
| CP | Total | |||
| 1.00 | 0.00 | |||
| AB | 1.00 | 17 | 0 | 17 |
| 0.00 | 0 | 3 | 3 | |
| Total | 17 | 3 | 20 | |
AB, reviewer 1; CP, reviewer 2; 1.00, Included; 0.00, Pending
SPSS output for Kappa statistic
| Symmetric measures | |||||
|---|---|---|---|---|---|
| Value | Asymp. Std. Errora | Approx. Tb | Approx. Sig. | ||
| Measure of Agreement | Kappa | 1.000 | 0.000 | 4.472 | 0.000 |
| N of Valid Cases | 20 | ||||
aNot assuming the null hypothesis
bUsing the asymptotic standard error assuming the null hypothesis
Approx. Sig. = P value