The objective of this study was to evaluate the application value of “Internet + hospital-to-home (H2H)” nutritional care model using the improved wavelet transform algorithm based on computed tomography (CT) images in the nutritional care management of chronic kidney disease (CKD) stages 3-5. A total of 120 patients with CKD were the research objects and they were randomly divided into two groups. The normal nutritional nursing model was used for nursing of patients in the control group, and the “Internet + H2H″ model was used for the observation group (H2H group), with 60 cases in each group. The nursing effect was evaluated using 320-slice volume CT low-dose perfusion imaging images, anthropometry, laboratory biochemical tests, and other survey scores. The results showed that compared with the mean filter denoising (MFD) algorithm and the orthogonal wavelet denoising (OWD) algorithm, the mean square error (MSE) and signal noise ratio (SNR) values of the IWT algorithm were better (40.0781 vs 45.2891, 59.2123)/(20.0122 vs 18.2311, 15.7812) (P < 0.05). The arm muscle circumference (MAC) (239.77 ± 18.24 vs 243.94 ± 18.72 mm) and triceps skindold (TSF) value (8.87 ± 2.74 vs 10.04 ± 2.90 mm) of the patients in the H2H group were greatly improved after the nursing (P < 0.05). For biochemical indicators, serum albumin (ALB) (35.22 ± 4.98 vs 45.32 ± 4.21) g/L, prealbumin (PAB) (289.94 ± 72.99 vs 341.79 ± 74.45) mg/L, hemoglobin (Hb) (97.62 ± 24.87 vs 110.65 ± 28.83) g/L, and blood urea nitrogen (BUN) (15.74 ± 9.87 vs 11.06 ± 5.69) mmol/L of patients in H2H group were improved (P < 0.05). After nursing, the nutritional screening score of the H2H group was obviously improved (83.33% (before) vs 50% (after)), the total score of health quality assessment (114.89 ± 5.23) in the H2H group was much higher than that of the control group (87.22 ± 14.89), and the satisfaction on the nursing model was higher in the H2H group (100% vs 71.67%) (P < 0.05). The renal cortex BF before and after nursing was significantly different between the two groups of patients (P < 0.05), and the BE of the H2H group was significantly higher than that of the control group after treatment ((335.12 ± 52.74) mL·100 g−1·min−1 vs (289.90 ± 53.91) mL·100 g−1·min−1) (P < 0.05). In summary, the “Internet + H2H″ nutritional nursing model was more individualized, which can better improve the physical quality of patients with stages 3-5 of CKD, improve the psychological state of patients, and further enhance the prognosis of the disease. In addition, the IWT algorithm showed better effects in the processing of the image of 320-slice volume CT low-dose perfusion imaging, and it was worthy of clinical application.

/pdf/implementation-of-hospital-to-home-model-for-nutritional-3na1neqw.pdf

Implementation of Hospital-to-Home Model for Nutritional Nursing Management of Patients with Chronic Kidney Disease Using Artificial Intelligence Algorithm Combined with CT Internet +

Abstract Background The World Health Organization recommends the use of donated human milk (HM) as the second-best option for mothers who are temporarily unable to provide sufficient breast milk to meet the needs of their infants. However, HM donation is yet to become an accepted practice in Uganda. We assessed the level of, and factors associated with acceptability to donate HM among postnatal mothers at St. Francis Hospital Nsambya (SFHN). Methods A cross-sectional sequential explanatory mixed method study was conducted between October 2018 and March 2019. A questionnaire on sociodemography, awareness and likely acceptability to donate HM was administered to 410 postnatal mothers at SFHN. Multivariate logistic regression analysis was undertaken to determine factors associated with acceptance of HM donation. Focus Group Discussions (4) and Key Informants Interviews (4) were used to explore factors influencing behaviours to donate human milk. Qualitative data were analysed using a content thematic approach. Results Overall acceptance of donating the HM was 77.6%, and the significant factors were: willingness to express the HM (AOR 7.5; 95% CI 3.01, 18.68); wet-nursing knowledge (AOR 2.3; 95% CI 1.1, 5.0) and visit to under-5 years’ clinic (AOR 21.3; 95% CI 2.3, 196.9). The major themes in relation to accepting to donate HM were wet nursing experience, and confidence in donating the HM, and its perceived effectiveness. There were concerns about the safety and adequacy of HM and fear of transmitting criminal behaviours and mental illness through human milk. Conclusions Acceptance to donate HM among postnatal mothers at St. Francis Hospital Nsambya was very high. Willingness to express and store human milk, prior knowledge about wet nursing and a visit to an under-five outpatient clinic were associated with acceptance. Thus, establishing a human milk bank is feasible in the study setting. 

Acceptability to donate human milk among postnatal mothers at St. Francis hospital Nsambya, Uganda: a mixed method study

Background: The Maternal Infant Responsiveness Instrument (MIRI) was developed in 2002 to measure a critical aspect of maternal-infant health. The objective of this analysis was to examine use, results, and continued relevance of the MIRI 20 years after its creation. Methods: For the completion of this narrative review, 5 electronic databases were accessed using key search terms. Inclusion criteria were English-language, peer-reviewed research using the MIRI. Hand searches of reference lists were conducted. Five authors performed screening, data extraction, appraisal, and summarized findings. Results: Fifteen studies were included. All studies reported an internal consistency of α &gt; 0.70 for the MIRI. Positive correlations were reported with self-efficacy, infant temperament, and life satisfaction. Inverse relationships were reported with stress, depression, and experiential avoidance. Depressive symptomatology, life satisfaction, self-esteem, self-efficacy, and previous childcare experience were predictors of maternal responsiveness. Discussion: Maternal well-being (postpartum depression and stress) can affect maternal responsiveness. Given the pervasive disparities in maternal health and well-being, it is important to have reliable measures of the effects of those disparities. The MIRI, a valid and reliable measure, may be useful for assessing the effectiveness of interventions designed to improve infant and maternal well-being. 

Narrative Review of Use and Continued Relevance of the Maternal Infant Responsiveness Instrument

BackgroundDuring the early COVID-19 pandemic travel in Uganda was tightly restricted which affected demand for and access to care for pregnant women and small and sick newborns. In this study we describe changes to neonatal outcomes in one rural central Ugandan newborn unit before and during the early phase of the COVID-19 pandemic.MethodsWe report outcomes from admissions captured in an electronic dataset of a well-established newborn unit before (September 2019 to March 2020) and during the early COVID-19 period (April-September 2020) as well as two seasonally matched periods one year prior. We report excess mortality as the percent change in mortality over what was expected based on seasonal trends.FindingsThe study included 2,494 patients, 567 of whom were admitted during the early COVID-19 period. During the pandemic admissions decreased by 14%. Patients born outside the facility were older on admission than previously (median 1 day of age vs. admission on the day of birth). There was an increase in admissions with birth asphyxia (22% vs. 15% of patients). Mortality was higher during COVID-19 than previously [16% vs. 11%, p = 0.017]. Patients born outside the facility had a relative increase of 55% above seasonal expected mortality (21% vs. 14%, p = 0.028). During this period patients had decreased antenatal care, restricted transport and difficulty with expenses and support. The hospital had difficulty with maternity staffing and supplies. There was significant community and staff fear of COVID-19.InterpretationIncreased newborn mortality during the early COVID-19 pandemic at this facility was likely attributed to disruptions affecting maternal and newborn demand for, access to and quality of perinatal healthcare. Lockdown conditions and restrictions to public transit were significant barriers to maternal and newborn wellbeing, and require further focus by national and regional health officials.

Impact of the Early COVID-19 Pandemic on Outcomes in a Rural Ugandan Neonatal Unit: A Retrospective Cohort Study

Background Most neonatal deaths occur in low- and middle-income countries (LMICs). Limited recommendations are available on the optimal personnel and training required to improve identification of sick newborns and care-seeking from a health facility. We conducted a scoping review to map the key components required to design an effective newborn care training program for community-based health workers (CBHWs) to improve identification of sick newborns and care-seeking from a health facility in LMICs. Methods We searched multiple databases from 1990 to March 2020. Employing iterative scoping review methodology, we narrowed our inclusion criteria as we became more familiar with the evidence base. We initially included any manuscripts that captured the concepts of "postnatal care providers," "neonates" and "LMICs." We subsequently included articles that investigated the effectiveness of newborn care provision by CBHWs, defined as non-professional paid or volunteer health workers based in communities, and their training programs in improving identification of newborns with serious illness and care-seeking from a health facility in LMICs. Results Of 11,647 articles identified, 635 met initial inclusion criteria. Among these initial results, 35 studies met the revised inclusion criteria. Studies represented 11 different types of newborn care providers in 11 countries. The most commonly studied providers were community health workers. Key outcomes to be measured when designing a training program and intervention to increase appropriate assessment of sick newborns at a health facility include high newborn care provider and caregiver knowledge of newborn danger signs, accurate provider and caregiver identification of sick newborns and appropriate care-seeking from a health facility either through caregiver referral compliance or caregivers seeking care themselves. Key components to consider to achieve these outcomes include facilitators: sufficient duration of training, refresher training, supervision and community engagement; barriers: context-specific perceptions of newborn illness and gender roles that may deter care-seeking; and components with unclear benefit: qualifications prior to training and incentives and remuneration. Conclusion Evidence regarding key components and outcomes of newborn care training programs to improve CBHW identification of sick newborns and care-seeking can inform future newborn care training design in LMICs. These training components must be adapted to country-specific contexts.

Training Programs to Improve Identification of Sick Newborns and Care-Seeking from a Health Facility in Low- and Middle-Income Countries: a Scoping Review

Introduction A follow-up programme designed for high-risk newborns discharged from inpatient newborn units in low-resource settings is imperative to ensure these newborns receive the healthiest possible start to life. We aim to assess the feasibility, acceptability and early outcomes of a discharge and follow-up programme, called Hospital to Home (H2H), in a neonatal unit in central Uganda. Methods and analysis We will use a mixed-methods study design comparing a historical cohort and an intervention cohort of newborns and their caregivers admitted to a neonatal unit in Uganda. The study design includes two main components. The first component includes qualitative interviews (n=60 or until reaching saturation) with caregivers, community health workers called Village Health Team (VHT) members and neonatal unit staff. The second component assesses and compares outcomes between a prospective intervention cohort (n=100, born between July 2019 and September 2019) and a historical cohort (n=100, born between July 2018 and September 2018) of infants. The historical cohort will receive standard care while the intervention cohort will receive standard care plus the H2H intervention. The H2H intervention comprises training for healthcare workers on lactation, breast feeding and neurodevelopmentally supportive care, including cue-based feeding, and training to caregivers on recognition of danger signs and care of their high-risk infants. Infants and their families receive home visits until 6 months of age, or longer if necessary, by specially trained VHTs. Quantitative data will be analysed using descriptive statistics and regression analysis. All results will be stratified by cohort group. Qualitative data will be analysed guided by Braun and Clarke’s thematic analysis technique. Ethics and dissemination This study protocol was approved by the relevant Ugandan ethics committees. All participants will provide written informed consent. We will disseminate through peer-reviewed publications and key stakeholders and public engagement. Trial registration number ISRCTN51636372; Pre-result.

https://bmjopen.bmj.com/content/bmjopen/11/3/e043773.full.pdf

Mixed-method study to assess the feasibility, acceptability and early effectiveness of the Hospital to Home programme for follow-up of high-risk newborns in a rural district of Central Uganda: a study protocol.

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Mixed-method study to assess the feasibility, acceptability and early effectiveness of the Hospital to Home programme for follow-up of high-risk newborns in a rural district of Central Uganda: a study protocol.