| Literature DB >> 32102649 |
T Chelagat1, G Kokwaro2, J Onyango2, J Rice2.
Abstract
BACKGROUND: Kenya's new constitution passed in 2010 recognizes the right of quality care resulting in the devolution of health service delivery to the sub-national units called counties in 2013. However, the health system performance continues to be poor. The main identified challenge is poor health systems leadership. Evidence shows that addressing health system leadership challenges using different leadership intervention models has the potential to improve health outcomes. The purpose of this study is to report findings on the effect of project-based experiential learning on the health service delivery indicators addressed by 15 health management teams from 13 counties in Kenya, as compared to the non-trained managers.Entities:
Keywords: Effectiveness; Health service indicators; Leadership training; Projects; Team-coaching
Mesh:
Year: 2020 PMID: 32102649 PMCID: PMC7045382 DOI: 10.1186/s12913-020-4949-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Depicted the project-based experiential learning model that combines the leadership, management and governance concepts from the Management Sciences for Health results model. Adapted from the leading, managing and governing results framework [39]
Presents a summary of the number and percentage of the service delivery indicators of interest in the intervention and control health facilities per health sector
| Indicator | Health sector | N & % (intervention hospitals) | N & % (comparison Hospitals) | Total N & % |
|---|---|---|---|---|
| Skilled deliveries by birth attendants. | Public | 4 (26.6%) | 4 (28.7%) | 8 (27.6%) |
| Full immunization of children | Public | 1 (6.6%) | 1 (7.1%) | 2 (6.9%) |
| Increased outpatient & inpatient utilization | Private, public & faith-based | 4 (26.6%) | 3 (21.4%) | 7 (24.1%) |
| Reduce outpatient turn-around time (TAT) | Private, public & faith-based | 2 (13.3%) | 2 (14.3%) | 4 (13.8%) |
| Others (increase quality and customer satisfaction | Private, public & faith-based | 4 (26.6%) | 4 (28.6%) | 8 (27.6%) |
| Total | 15 (100) | 14 (100) | 29 (100%) |
Source: Survey data 2018
Illustrated the study participant’s socio-demographic information (gender, age, and education)
| Item | Category | Frequency & Percentage (%) |
|---|---|---|
| Sex | Male | 9 (60%) |
| Female | 6 (40%) | |
| Age Category | 26-35 yrs. | 1 (7%) |
| 36- 45 yrs. | 5 (33%) | |
| 46-55 yrs | 7 (47%) | |
| > 55 yrs. | 2 (13%) | |
| Highest Education Level | Bachelor degree | 6 (40%) |
| Master degree | 8 (53%) | |
| Others | 1 (7%) |
Source: Survey data 2018
Fig. 2Illustrated the trend comparing the means from baseline, endline and post-training measures for the 15 intervention team projects and the control team respectively
Presented the paired-sample t-test comparing baseline, endline, and post-training for the trained and non-trained teams
| Paired Differences | ||||||||
|---|---|---|---|---|---|---|---|---|
| Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval oDifference | t | df | Sig. (2-tailed) | ||
| Lower | Upper | |||||||
| Comparison group | ||||||||
| Baseline-endline | −11.7000 | 31.5220 | 8.1389 | −29.1563 | 5.7563 | −1.438 | 14 | .173 |
| Endline-post-training | −4.1000 | 8.8645 | 2.2888 | −9.0090 | .8090 | −1.791 | 14 | .095 |
| Intervention group | ||||||||
| Baseline-endline | −31.6000 | 45.0267 | 11.6258 | −56.5349 | −6.6651 | −2.718 | 14 | .017 |
| Endline-post-training | −17.8333 | 33.9557 | 8.7673 | −36.6374 | .9707 | −2.034 | 14 | .061 |
Source: Survey data 2018