| Title |
Study protocol of a cluster randomized controlled trial to evaluate effectiveness of a system for maintaining high-quality early essential newborn care in Lao PDR
|
|---|---|
| Published in |
BMC Health Services Research, June 2018
|
| DOI | 10.1186/s12913-018-3311-7 |
| Pubmed ID | |
| Authors |
Sayaka Horiuchi, Sommana Rattana, Bounnack Saysanasongkham, Outhevanh Kounnavongsa, Shogo Kubota, Julie Cayrol, Kenzo Takahashi, Mariko Inoue, Asuka Nemoto, Kazue Yamaoka |
| Abstract |
Reduction in neonatal deaths has been a major challenge globally. To prevent neonatal deaths, improvements in newborn care have been promoted worldwide. The World Health Organization Western Pacific Regional Office has been promoting the Early Essential Newborn Care (EENC), a package of specific simple and cost-effective interventions, in their region. However, mere introduction of EENC cannot reduce neonatal deaths unless quality of care is ensured. In Lao PDR, the government introduced self-managed continuous monitoring as a sustainable way to improve the quality of care described in the EENC. A clustered randomized controlled trial was designed to compare the effectiveness of self-managed continuous monitoring with external supervisory visits to monitor health workers' satisfactory EENC performance and their knowledge and skills related to the EENC in Lao PDR. Determinants of EENC performance will be measured with a structured questionnaire developed based on the Theory of Planned Behaviour, which predicts future behaviour. During self-managed continuous monitoring activities, health workers in each district hospital will conduct periodical peer reviews and feedback sessions. Fifteen district hospitals will be randomly allocated into the self-managed continuous monitoring (intervention) and the supervision (control) groups. Fifteen health workers routinely involved in maternity and newborn care including physicians, midwives and other health staff will be recruited from each hospital (effect size 0.6, intra-cluster correlation coefficient 0.06, 5% alpha error and 80% power). We will compare the change in the mean score of the determinants before and one year after randomisation between the two groups. We will also compare the retention of knowledge and skills related to the EENC between the two groups. The expected enrolment period is July 20th, 2017 to July 20th, 2018. This is the first cluster randomized trial to evaluate a self-managed continuous monitoring system for quality maintenance of newborn care in a resource-limited country. This research is conducted in collaboration with the Ministry of Health and international organizations; therefore, if effective, this intervention would be applied in larger areas of the country and the region. This trial was registered at UMIN-CTR on 15th of June, 2017. Registration number is UMIN000027794 . |
Mendeley readers
The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 113 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 15% |
| Student > Ph. D. Student | 10 | 9% |
| Other | 9 | 8% |
| Researcher | 8 | 7% |
| Student > Bachelor | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 42 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 27 | 24% |
| Medicine and Dentistry | 18 | 16% |
| Social Sciences | 5 | 4% |
| Psychology | 3 | 3% |
| Economics, Econometrics and Finance | 3 | 3% |
| Other | 10 | 9% |
| Unknown | 47 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 June 2018.
All research outputs
#5,829,518
of 23,092,602 outputs
Outputs from BMC Health Services Research
#2,580
of 7,738 outputs
Outputs of similar age
#100,135
of 328,981 outputs
Outputs of similar age from BMC Health Services Research
#109
of 215 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,738 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,981 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.