Health inequalities for people with learning disabilities: why it matters and what emergency physicians need to know.

People with learning disabilities die on average 16 years earlier than the general population in England. They are a vulnerable group and may have unhealthy lifestyles and multimorbidity that lead to poor health outcomes. Worryingly, premature deaths are also more common and these often have contributory healthcare causes. This may be a result of staff lacking awareness, expertise and experience managing people with learning disabilities, the lack of reasonable adjustments, or discriminatory attitudes. Other issues include polypharmacy and inappropriate prescribing of sedatives, inappropriate use of do not resuscitate orders, and diagnostic overshadowing leading to delayed or misdiagnoses. Emergency physicians need to be aware of subtle or atypical presentations of illnesses such as sepsis. Carers and family can be vital informants, helping clinicians to interpret subtle signs and aid communication with people with learning disabilities. One simple approach to reasonable adjustments, as required by law, is the TEACH mnemonic: people with learning disabilities need more time (T), in a conducive environment (E), with clinicians approaching them with the right attitude (A) and an open mind. Good communication (C) is essential and clinicians must make every attempt to understand their patients and to be understood by their patients. Finally clinicians need to consider what 'help' (H) the patient and their carers or family needs. With the right approach, time and environment, emergency physicians can optimise the care delivered to people with learning disabilities to address their needs.

The impact of decentralisation on health systems: a systematic review of reviews.

BACKGROUND: Decentralisation is a common mechanism for health system reform; yet, evidence of how it impacts health systems remains fragmented. Despite published findings from primary and secondary research illustrating range of impacts, a comprehensive and clear understanding is currently lacking. This review synthesised the existing evidence to assess how decentralisation (by devolution) impacts each of the six WHO building blocks, and the health system. METHOD: We systematically searched five electronic databases for reviews exploring impact of decentralisation on health systems, globally. Reviews, both systematic and non-systematic, published in the English language from January 1990 to February 2022 were included. Data were synthesised across each of six building blocks. Quality assessment of the reviews was conducted using Critical Appraisal Skills Program for systematic and Scale for Assessment of Narrative Review Articles for non-systematic reviews. RESULTS: Nine reviews, each addressing somewhat different questions, contexts and issues, were included. A range of positive and negative impacts of decentralisation on health system building blocks were identified; yet, overall, the impacts were more negative. Although inconclusive, evidence suggested that the impacts on leadership and governance and financing components in particular shape the impact on overall health system. Assessment of how the impact on building blocks translates to the broader impact on health systems is challenged by the dynamic complexities related to contexts, process and the health system itself. CONCLUSIONS: Decentralisation, even if well intentioned, can have unintended consequences. Despite the difficulty of reaching universally applicable conclusions about the pros and cons of decentralisation, this review highlights some of the common potential issues to consider in advance. PROSPERO REGISTRATION NUMBER: CRD42022302013.

Determinants affecting utilisation of health services and treatment for children under-5 in rural Nepali health centres: a cross-sectional study.

BACKGROUND: Large inequalities in child health remain in Nepal, with caste, ethnicity and sex being major determinants of deprivation and negative outcomes. The purpose of this study was to explore whether key demographics of under 5s were associated with health seeking behaviours, utilisation of health care, and treatment received. METHODS: Data came from Integrated Management of Neonatal & Childhood Illness (IMNCI) records of 23 health centres across five districts. After digitising the paper records, the data was analysed by district, caste/ethnicity, sex, and age to investigate differences in the time taken to present at a health facility after the onset of symptoms of ARI, diarrhoea and fever; accuracy of diagnosis for pneumonia; and whether the correct treatment was prescribed for pneumonia as per IMNCI guidelines. RESULTS: From 116 register books spanning 23 health centres, 30,730 child patient records were considered for analysis. The median age of attendance was 18 months (Inter-Quartile Range = 10, 32), while were more male children that attended (55.7% vs. 44.3% for females). There were statistically significant differences for the time taken to attend a health centre between different districts for ARI, diarrhoea and fever, with children in the remote Humla and Mugu districts taking significantly longer to present at a health facility after the onset of symptoms (all p < 0.001, except Mugu for ARI days). Children from underprivileged ethnic groups, Madhesi and Dalit, were less likely to be given a correct diagnosis of pneumonia (p = 0.014), while males were more likely to receive a correct diagnosis than females (73% vs. 67%, p = 0.001). This sex difference remained in the adjusted regression models for diagnosis of pneumonia (p < 0.001) but not for treatment of pneumonia (p = 0.628). All districts, in comparison to Gorkha, had increased odds of correct diagnosis and treatment of pneumonia, but only significant in children from Mugu after adjustment (p ≤ 0.001). CONCLUSION: Significant demographic differences were found based on ethnicity, sex, and district when examining health seeking behaviours for ARI, diarrhoea, and fever. Significant associations were seen for these same factors when exploring accuracy of diagnoses of pneumonia, but not for treatment. This study has emphasised the importance of a digitalised healthcare system, where inequalities can be identified without the reliance on anecdotal evidence.