ObjectivesNeonatal mortality remains persistently high in low-income and middle-income countries. In Cambodia, there is a paucity of data on the perception of neonatal health and care-seeking behaviours at the community level. This study aimed to identify influencers of neonatal health and healthcare-seeking behaviour in a rural Cambodian province.DesignA qualitative study using focus group discussions and thematic content analysis.SettingFour health centres in a rural province of Northern Cambodia.ParticipantsTwenty-four focus group discussions were conducted with 85 community health workers in 2019.ResultsCommunity health workers recognised an improvement in neonatal health over time. Key influencers to neonatal health were identified as knowledge, sociocultural behaviours, finances and transport, provision of care and healthcare engagement. Most influencers acted as both barriers and facilitators, with the exception of finances and transport that only acted as a barrier, and healthcare engagement that acted as a facilitator.ConclusionUnderstanding health influencers and care-seeking behaviours is recognised to facilitate appropriate community health programmes. Key influencers and care-seeking behaviours have been identified from rural Cambodia adding to the current literature. Where facilitators have already been established, they should be used as building blocks for continued change.
AimTo assess the effects of the nursing workforce and advanced nursing practice on the outcomes of patients and life expectancy, including mortality rates of under‐five children in Cambodia, and to develop policy recommendations to increase the influence of the nursing workforce.BackgroundIn low–middle‐income nations, life expectancy and under‐five mortality are important measures of public health. However, there is still a dearth of literature related to the nursing workforce in Southeast Asia.MethodThe authors retrieved the data from the World Nursing Report produced by the World Health Organization 2020 for 10 member states. The transparent reporting of a multivariable prediction model for individual prognosis or diagnosis checklist has guided this study. The univariate linear regression model was applied to categorize the potential predictors for each outcome assessment. In addition, the Spearman rank correlation test was selected to assess the potential predictors, and a multivariate statistical analysis was carried out for each of the five outcomes.ResultsAccording to the study's findings, nurse density and advanced practice nursing improve both female and male life expectancy. The existence of advanced nursing roles is associated with decreased under‐five mortality.ConclusionsThere are great opportunities to improve the nursing workforce within Cambodia and other Association of Southeast Asian Nations member states to increase patient outcomes. Investment in nursing is essential for improved patient outcomes.Implications for nursing and health policyHealth policy investments in these projects and future initiatives intended to advance nurse density, education, and practice are based on this study's results. Policy initiatives should focus on increasing density because nursing appears to impact life expectancy and other outcomes.
based on previously published studies. Out of multiple other demographic and illness-related factors assessed, only having a secondary dengue infection was associated with a high risk of DHF (RR=3.077,95% CI 1.361, 6.954) Conclusion Persistent NS1 positivity on day three and beyond may not be indicative of disease severity. However, results need to be confirmed by a larger study with quantitative NS1 testing.
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