scholarly journals Training programs to improve identification of sick newborns and care-seeking from a health facility in low- and middle-income countries: a scoping review

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alastair Fung ◽  
Elisabeth Hamilton ◽  
Elsabé Du Plessis ◽  
Nicole Askin ◽  
Lisa Avery ◽  
...  

Abstract 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.

2020 ◽  
Vol 25 (Supplement_2) ◽  
pp. e27-e27
Author(s):  
Jennifer L Brenner ◽  
Dismas Matovelo ◽  
Boniphace Maendaelo ◽  
Wemaeli Mweteni ◽  
Nalini Singhal ◽  
...  

Abstract Introduction/Background Preventable deaths in pregnant women and newborns remain unacceptably high in East Africa. Limited antenatal, delivery and postnatal care-seeking combined with service delivery gaps at government facilities contribute to high mortality. Between 2016-2019, partners from Tanzania, Uganda, and Canada jointly developed, implemented, and evaluated a comprehensive, district-wide maternal, newborn, and child health (MNCH) ‘package’ in Lake Zone, Tanzania. Known locally as ‘Mama na Mtoto’, the scale-up programming involved training and capacity building for district managers, health facility staff and a network of volunteer community health workers selected by their own communities. Objectives To quantitatively assess changes in MNCH health outcomes following the Mama na Mtoto intervention. Design/Methods MNCH household-level care-seeking outcomes were assessed using a pre/post coverage survey adapted from the Demographic Health Survey. Households and women (15-49 years), selected through cluster sampling (cluster unit=hamlet), were surveyed by local, trained research assistants using tablet-based surveys. MNCH service outcomes were assessed at all government health facilities using a comprehensive pre/post cross-sectional audit tool; key measures included staff, equipment, infrastructure, supplies, and medication availability. Descriptive statistics for antenatal care (ANC), health facility delivery (HFD), and postnatal care (PNC)-related indicators were analyzed pre- and post-intervention using R software. Composite health facility ‘Readiness Scores’ were calculated through tallies of relevant itemized facility-based measures for each core MNCH service area across the district. Absolute percentage differences, confidence intervals and design effect are presented where relevant. Results In total, 1,977 households, 2,438 women, and 45 health facilities were surveyed pre-intervention and 1,835 homes, 2,073 women, and 49 health facilities were surveyed post. Care-seeking indicators with statistically significant changes were ANC 4+ (+11%), ANC <12 weeks (+7%), HFD (+17%), and PNC for mothers (+9%); PNC for babies was not significant. Increases in composite MNCH Service Readiness Scores were as follows: ANC +24%, essential newborn care +42%, newborn resuscitation +37%, and labour and delivery +27%. Conclusion The comprehensive MnM package was associated with important improvements in the demand (care-seeking) and service (facility readiness) health outcomes. Attribution is complicated by an uncontrolled health system and lack of district controls; however, the extensive scope, reach, and positive changes are promising and consistent with sustained Ugandan experiences. Best practice documentation is critical to facilitate scale-up and progress acceleration of MNCH programs in Tanzanian and East African settings.


2018 ◽  
Vol 8 (4) ◽  
pp. 252-268
Author(s):  
Nancy E. Bolan ◽  
Susan D. Newman ◽  
Lynne S. Nemeth

PURPOSEGiven high neonatal mortality in many low- and middle-income countries, addressing missed opportunities by enhancing the quality of newborn care provided by facility-based nurses and midwives is critical. This scoping review synthesizes and critiques the literature on technology-based newborn health learning initiatives. Kirkpatrick's model is used for training program evaluation.METHODSA literature review was conducted from multiple databases. Articles selected for analysis consisted of original research studies published in peer-reviewed journals from 2012 to 2017.RESULTSTwelve studies fell into two categories: (a) Simulation training in routine neonatal care and newborn resuscitation (n = 9) and (b) eLearning initiatives (n = 3). Most studies evaluated health provider's knowledge and skills before and/or after training (n = 9); fewer evaluated the effect on change in provider practice (n = 3) and/or patient health outcomes (n = 5) (Kirkpatrick levels 3–4). Few studies utilized robust study designs and validated measurement instruments.CONCLUSIONLearning approaches emphasizing simulation training and eLearning initiatives for facility-based health workers hold promise. However, existing simulation literature demonstrates that translation of knowledge gained during simulation into improved clinical outcomes in real births is variable. Additionally, the volume of peer-reviewed evidence demonstrating the potential benefit of eLearning strategies, especially in the neonatal period, is limited.


2021 ◽  
Vol 6 (3) ◽  
pp. e004347
Author(s):  
Suman P N Rao ◽  
Nicole Minckas ◽  
Melissa M Medvedev ◽  
David Gathara ◽  
Prashantha Y N ◽  
...  

IntroductionThe COVID-19 pandemic is disrupting health systems globally. Maternity care disruptions have been surveyed, but not those related to vulnerable small newborns. We aimed to survey reported disruptions to small and sick newborn care worldwide and undertake thematic analysis of healthcare providers’ experiences and proposed mitigation strategies.MethodsUsing a widely disseminated online survey in three languages, we reached out to neonatal healthcare providers. We collected data on COVID-19 preparedness, effects on health personnel and on newborn care services, including kangaroo mother care (KMC), as well as disruptors and solutions.ResultsWe analysed 1120 responses from 62 countries, mainly low and middle-income countries (LMICs). Preparedness for COVID-19 was suboptimal in terms of guidelines and availability of personal protective equipment. One-third reported routine testing of all pregnant women, but 13% had no testing capacity at all. More than 85% of health personnel feared for their own health and 89% had increased stress. Newborn care practices were disrupted both due to reduced care-seeking and a compromised workforce. More than half reported that evidence-based interventions such as KMC were discontinued or discouraged. Separation of the mother–baby dyad was reported for both COVID-positive mothers (50%) and those with unknown status (16%). Follow-up care was disrupted primarily due to families’ fear of visiting hospitals (~73%).ConclusionNewborn care providers are stressed and there is lack clarity and guidelines regarding care of small newborns during the pandemic. There is an urgent need to protect life-saving interventions, such as KMC, threatened by the pandemic, and to be ready to recover and build back better.


BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e019827 ◽  
Author(s):  
Niall Winters ◽  
Laurenz Langer ◽  
Anne Geniets

ObjectivesUndertake a systematic scoping review to determine how a research evidence base, in the form of existing systematic reviews in the field of mobile health (mHealth), constitutes education and training for community health workers (CHWs) who use mobile technologies in everyday work. The review was informed by the following research questions: does educational theory inform the design of the education and training component of mHealth interventions? How is education and training with mobile technology by CHWs in low-income and middle-income countries categorised by existing systematic reviews? What is the basis for this categorisation?SettingThe review explored the literature from 2000 to 2017 to investigate how mHealth interventions have been positioned within the available evidence base in relation to their use of formal theories of learning.ResultsThe scoping review found 24 primary studies that were categorised by 16 systematic reviews as supporting CHWs’ education and training using mobile technologies. However, when formal theories of learning from educational research were used to recategorise these 24 primary studies, only four could be coded as such. This identifies a problem with how CHWs’ education and training using mobile technologies is understood and categorised within the existing evidence base. This is because there is no agreed on, theoretically informed understanding of what counts as learning.ConclusionThe claims made by mHealth researchers and practitioners regarding the learning benefits of mobile technology are not based on research results that are underpinned by formal theories of learning. mHealth suffers from a reductionist view of learning that underestimates the complexities of the relationship between pedagogy and technology. This has resulted in miscategorisations of what constitutes CHWs’ education and training within the existing evidence base. This can be overcome by informed collaboration between the health and education communities.


2021 ◽  
Author(s):  
Julia Lohmann ◽  
Denny John ◽  
Aso Dzay

Abstract BackgroundSARS-CoV-2 has resulted in unprecedented research efforts on health workers’ work realities and their potential mental health impacts. To understand the latter, high-quality evidence on the baseline situation is paramount. With the aim of providing a comprehensive overview of existing evidence and to inform future research, we undertook a scoping review of the quantitative literature on mental health and psychological wellbeing of clinical skilled healthcare personnel working in all settings of care in low- and lower-middle income countries (LLMIC).MethodsWe performed a systematic search of the literature up to the end of 2019, in English or French language, in MEDLINE, EMBASE, PsychINFO, Global Health, and CAIRN. We included both studies estimating levels of mental health and studies investigating associations with other factors. We extracted data on study characteristics and methodology, and assessed the methodological quality of the included studies along nine criteria.ResultsWe found 143 relevant studies, 135 including data on mental health levels and 126 including data on associations with other factors. The studies covered 26 of the world’s 78 LLMICs, with most studies conducted in India, Nigeria, Pakistan, or Egypt, in urban secondary- and tertiary-care settings. 67% of studies assessed burnout, 25% general psychological wellbeing, and 20% other mental health outcomes. Only 19% of studies were of high quality due to shortcomings particularly in regards to sample representativeness, context-specific measurement tool validity, and reporting of methodological detail. We found much heterogeneity in investigated associated factors. Studies focused almost exclusively on potential determinants of mental health, while none linked mental health to objectively measured performance outcomes.ConclusionWe conclude that despite its impressive size, we can learn comparatively little from the current body of literature. Based on our findings, we outline areas for expansion, methodological improvement, and standardization of reporting in future research on mental health of health workers.Systematic review registrationPROSPERO no. CRD42019140036


10.2196/16426 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e16426
Author(s):  
Shababa B Matin ◽  
Allison Wallingford ◽  
Shicheng Xu ◽  
Natalie Ng ◽  
Anthony Ho ◽  
...  

Background A shortage of community health workers to triage sick neonates and poor recognition of neonatal illness by mothers contribute significantly toward neonatal deaths in low- and middle-income countries. Providing low-resource communities with the tools and knowledge to recognize signs of neonatal distress can lead to early care-seeking behavior. To empower and educate mothers to recognize signs of neonatal illness, we developed a neonatal health assessment device consisting of a smartphone app and a wearable sensor (the NeMo system). Objective The aim of this study was to determine if mothers in rural Uganda were willing and able to use the NeMo system during the first week of their infant’s life. We also assessed mothers’ responses to the device’s recommendation to seek care. Methods A total of 20 mothers were enrolled in the study after giving birth in the Iganga District Hospital. Each mother was trained to use the NeMo system to assess her infant for signs of illness before leaving the hospital and was given the NeMo system to use at home for 1 week. Throughout the week, the smartphone tracked the mothers’ usage of NeMo, and the study team visited twice to observe mothers’ ability to use NeMo. Each mother was interviewed at the end of 1 week to gather qualitative feedback on her experience with the NeMo system. Results In total, 18 mothers completed the study; 2 mothers were withdrawn during the week because of extenuating health circumstances. Moreover, 1 day after enrollment and training, 75% (15/20) of mothers used NeMo properly with no mistakes. 3 days after enrollment and training, only 1 mother placed the wearable sensor improperly on her infant. On the final study day, only 1 mother connected the device improperly. Mothers used NeMo an average of 11.67 (SD 5.70) times on their own at home during the 5 full study days. Although the frequency of use per day decreased from day 1 to day 5 of the study (P=.04), 72% (13/18) of mothers used NeMo at least once per day. In total, 64% (9/14) of mothers who received an alert from the NeMo system to seek care for their infants either called the health care professional working with the study team or reused the system immediately and found no danger signs. All 18 mothers agreed or strongly agreed that the NeMo system was easy to use and helped them know when to seek care for their babies. Conclusions NeMo is a feasible and acceptable tool to aid mothers in rural Uganda to assess their infant’s health.


Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Nessa Ryan ◽  
Vida Rebello ◽  
Desiree Gutierrez ◽  
Kameko Washburn ◽  
Alvaro Zevallos Barboza ◽  
...  

Background: Stroke is the second leading cause of death globally and an increasing concern in low- and middle-income countries (LMIC) where, due to limited capacity to treat stroke, preventative efforts are critically important. Although some research on evidence-based interventions for stroke prevention in LMIC exists, there remains a significant gap in understanding of their implementation across various contexts in LMIC. Objectives: In this scoping review, our objective was to identify and synthesize the implementation outcomes (using Proctor et al.’s taxonomy, 2011) for stroke prevention interventions, as well as to describe the diverse interventions employed. Methods: Eligible studies were empirical, focused on implementation of stroke prevention programs or policies, and occurred in at least one LMIC. Five databases were searched, including PubMed, PsycINFO, CINAHL, EMBASE, and Web of Science. Two reviewers independently assessed studies for selection and charted data; discrepancies were resolved through discussion with a third reviewer until consensus was reached. Narrative synthesis was used to analyze and interpret the findings. Results: Studies were predominantly focused in Asia, targeting primary or secondary prevention, and facility-based. Interventions were conducted at the level of individual (n=11), system (n=12), or both (n=4). Various implementation outcomes were reported, most commonly cost (n=10), acceptability (n=7), fidelity (n=7), and feasibility (n=6), but also adoption (n=4), penetration (n=3), appropriateness (n=1), and sustainability (n=1). Conclusions: Findings highlight the breadth of evidence-based interventions for stroke prevention available to implement in LMIC settings, including culturally acceptable education interventions, cost-effective medications, and community-based interventions implemented by community health workers. Implementation outcomes remain under-reported, and more rigorous research is needed to better plan and evaluate the implementation of these interventions to prevent stroke.


2021 ◽  
Vol 3 (2) ◽  
pp. 66
Author(s):  
Arief Yanto ◽  
Muhammad Athfal Faroby ◽  
Tri Hartiti ◽  
Amin Samiasih

Stigma can be an obstacle in efforts to prevent, treat and treat COVID- 19 patients. Negative stigma can cause psychological problems for health workers during the COVID-19 pandemic. Stigma is often associated with health problems including COVID-19 which is caused by fear and lack of knowledge. This study aims to determine the image of the community's stigma against health workers during the COVID-19 pandemic. This study used a quantitative descriptive research design with a survey approach using a questionnaire filled out via google form. Sampling was done through convenience sampling. The sample of this study was 138 respondents who met the inclusion criteria. Most of the respondents did not give stigma labelling 82.6%, did not give stigma stereotype 81.9%, did not give stigma separation 89.9% and did not give stigma discrimination 77.5% to health workers. The results showed that the community did not give stigma of labelling, stereotype, separation and discrimination to health workers during the COVID-19 pandemic. It is hoped that this research can be used as input to prevent the emergence of a negative stigma against health workers during a pandemic.


2021 ◽  
Author(s):  
Md Zabir Hasan ◽  
Girmaye D. Dinsa ◽  
Peter Berman

Abstract BackgroundA simple indicator of technical efficiency, such as productivity of health workers, measured using routine health facility data, can be a practical approach that can inform initiatives to improve efficiency in low and middle-income countries. This paper presents a proof of concept of using routine information from primary healthcare (PHC) facilities to measure health workers’ productivity and its application in three regions of Ethiopia.MethodsIn four steps, we constructed a productivity measure of the health workforce of Health Centers (HCs) and demonstrated its practical application: (1) developing an analytical dataset using secondary data from health management information systems (HMIS) and human resource information system (HRIS); (2) principal component analysis and factor analysis to estimate a summary measure of output from five indicators (annual service volume of outpatient visits, family planning, first antenatal care visits, facility-based deliveries by skilled birth attendance, and children [<1 year] with three pentavalent vaccines); (3) calculating a productivity score by combining the summary measure and the total number of health workers (input); and (4) implementing regression models to identify the determinant of productivity and ranking HCs based on their adjusted productivity score. ResultsWe developed an analytical dataset of 1,128 HCs; however, significant missing values and outliers were reported in the data. The principal component and factor scores developed from the five output measures were highly consistent (correlation coefficient = 0.98). We considered the factor score as the summary measure of outputs for estimating productivity. A very weak association was observed between the summary measure of output and the total number of staff. The result also highlighted a large variability in productivity across similar health facilities in Ethiopia, represented by the significant dispersion in summary measure of output occurring at similar levels of the health workers. ConclusionsWe successfully demonstrated the analytical steps to estimate health worker productivity and its practical application using HMIS and HRIS. The methodology presented in this study can be readily applied in low and middle-income countries using widely available data – such as DHIS2 – that will allow further explorations to understand the causes of technical inefficiencies in the health system.


2020 ◽  
Vol 5 (7) ◽  
pp. e002660
Author(s):  
Laura Subramanian ◽  
Seema Murthy ◽  
Prasad Bogam ◽  
Shirley D Yan ◽  
Megan Marx Delaney ◽  
...  

Worldwide, many newborns die in the first month of life, with most deaths happening in low/middle-income countries (LMICs). Families’ use of evidence-based newborn care practices in the home and timely care-seeking for illness can save newborn lives. Postnatal education is an important investment to improve families’ use of evidence-based newborn care practices, yet there are gaps in the literature on postnatal education programees that have been evaluated to date. Recent findings from a 13 000+ person survey in 3 states in India show opportunities for improvement in postnatal education for mothers and families and their use of newborn care practices in the home. Our survey data and the literature suggest the need to incorporate the following strategies into future postnatal education programming: implement structured predischarge education with postdischarge reinforcement, using a multipronged teaching approach to reach whole families with education on multiple newborn care practices. Researchers need to conduct robust evaluation on postnatal education models incorporating these programee elements in the LMIC context, as well as explore whether this type of education model can work for other health areas that are critical for families to survive and thrive.


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