The aim of this study was to prioritise a set of indicators to measure World Health Organization (WHO) quality-of-care standards for small and/or sick newborns (SSNB) in health facilities. The hypothesis is that monitoring prioritised indicators can support accountability mechanisms, assess and drive progress, and compare performance in quality-of-care (QoC) at subnational levels.
Prospective, iterative, deductive, stepwise process to prioritise a list of QoC indicators organised around the WHO Standards for improving the QoC for small and sick newborns in health facilities. A technical working group (TWG) used an iterative four-step deductive process: (1) articulation of conceptual framework and method for indicator development; (2) comprehensive review of existing global SSNB-relevant indicators; (3) development of indicator selection criteria; and (4) selection of indicators through consultations with a wide range of stakeholders at country, regional and global levels.
The indicators are prioritised for inpatient newborn care (typically called level 2 and 3 care) in high mortality/morbidity settings, where most preventable poor neonatal outcomes occur.
The TWG included 24 technical experts and leaders in SSNB QoC programming selected by WHO. Global perspectives were synthesised from an online survey of 172 respondents who represented different countries and levels of the health system, and a wide range of perspectives, including ministries of health, research institutions, technical and implementing partners, health workers and independent experts.
The 30 prioritised SSNB QoC indicators include 27 with metadata and 3 requiring further development; together, they cover all eight standard domains of the WHO quality framework. Among the established indicators, 10 were adopted from existing indicators and 17 adapted. The list contains a balance of indicators measuring inputs (n=6), processes (n=12) and outcome/impact (n=9).
The prioritised SSNB QoC indicators can be used at health facility, subnational and national levels, depending on the maturity of a country’s health information system. Their use in implementation, research and evaluation across diverse contexts has the potential to help drive action to improve quality of SSNB care. WHO and others could use this list for further prioritisation of a core set.
Palliative cancer care is comprehensive, specialised medical care of patients that aims to alleviate physical, mental and emotional distress based on patients’ needs rather than on prognosis. In Ethiopia, the federal ministry of health started palliative care (PC) in 2016. Since then, services have been developed and integrated as important components of the Health Sector Transformation Plan II. However, there is a scarcity of nationally summarised data regarding PC service utilisation in Ethiopia. Therefore, this protocol describes a planned systematic review and meta-analysis that will evaluate utilisation of PC services and its predictors among adult cancer patients in Ethiopia.
The online databases of PubMed, Hinari, EMBASE, CINHAL, Science Direct, Scopus and Google Scholar will be comprehensively searched from inception to 31 February 2025. To assess the quality of included studies, the Joanna Briggs Institute critical appraisal tools will be used. The statistical software STATA V.17 will be used for data analyses. To examine the heterogeneity between studies, inverse variance (I2) will be used. To calculate the pooled prevalence of PC service utilisation, a fixed or random effects meta-analyses model will be used with a 95% CI, depending on the presence or absence of heterogeneity between included studies. To look for publication bias, a visual inspection of the funnel plot and Egger and Begg’s regression test and a 5% level of significance will be used.
Ethical approval is not applicable. The results will be disseminated to academic beneficiaries and the public.