The WHO Safe Childbirth Checklist (WHO SCC) was developed to accelerate adoption of essential practices that prevent maternal and neonatal morbidity and mortality during childbirth. This study aims to summarise the current landscape of organisations and facilities that have implemented the WHO SCC and compare the published strategies used to implement the WHO SCC implementation in both successful and unsuccessful efforts.

This scoping review protocol follows the guidelines of the Joanna Briggs Institute. Data will be collected and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews report. The search strategy will include publications from the databases Scopus, PubMed, Embase, CINAHL and Web of Science, in addition to a search in grey literature in The National Library of Australia’s Trobe, DART-Europe E-Theses Portal, Electronic Theses Online Service, Theses Canada, Google Scholar and Theses and dissertations from Latin America. Data extraction will include data on general information, study characteristics, organisations involved, sociodemographic context, implementation strategies, indicators of implementation process, frameworks used to design or evaluate the strategy, implementation outcomes and final considerations. Critical analysis of implementation strategies and outcomes will be performed with researchers with experience implementing the WHO SCC.

The study does not require an ethical review due to its design as a scoping review of the literature. The results will be submitted for publication to a scientific journal and all relevant data from this study will be made available in Dataverse.

https://doi.org/10.17605/OSF.IO/RWY27.

Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays.

This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches.

This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network.

Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study.

We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay.

Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.

This study set out to assess older people’s perception of their medications, attitude towards medication use and their willingness to have medications deprescribed in a geriatric centre in Southwestern Nigeria.

A cross-sectional study was conducted at the Chief Tony Anenih Geriatric Centre, University of Ibadan, using an interviewer-administered questionnaire. The questionnaire used was a revised version of the Patient’s Attitude Towards Deprescribing Questionnaire. Descriptive statistics, and multivariate and bivariate analyses were performed using SPSS V.23. Statistical significance was set at p

415 older patients aged ≥60 years who attended the geriatric centre in University College Hospital Ibadan between April and July 2022.

The primary outcome was the willingness of the older person to deprescribe if recommended by the physician.

The mean age of the participants was 69.6±6.4 years, and 252 (60.7%) were female. Overall, the willingness and positive attitude to medication deprescribing among respondents were 60.5% and 89.7%, respectively. Factors significantly associated with willingness to deprescribe were financial self-support (p=0.021), having no previous hospital admission (p=0.009), better-perceived quality of health relative to peers (p

Participants demonstrated greater willingness to deprescribe if the physicians recommended it. Predictive factors that may influence willingness to deprescribe were direct involvement with medications, appropriateness of medication and concerns about stopping medications.