Search

Background: Over half of under-five deaths occur in sub-Saharan Africa and appropriate, timely, quality care is critical for saving children’s lives. This study describes the context surrounding children’s deaths from the time the illness was first noticed, through the care-seeking patterns leading up to the child’s death, and identifies factors associated with care-seeking for these children in rural Rwanda. Methods: Secondary analysis of a verbal and social autopsy study of caregivers who reported the death of a child between March 2013 to February 2014 that occurred after discharge from the child’s birth facility in southern Kayonza and Kirehe districts in Rwanda. Bivariate analyses using Fisher’s exact tests were conducted to identify child, caregiver, and household factors associated with care-seeking from the formal health system (i.e., community health worker or health facility). Factors significant at α = 0.10 significance level were considered for backwards stepwise multivariate logistic regression, stopping when remaining factors were significantly associated with care-seeking at α = 0.05 significance level. Results: Among the 516 eligible deaths among children under-five, 22.7% (n = 117) did not seek care from the health system. For those who did, the most common first point of contact was community health workers (45.8%). In multivariate logistic regression, higher maternal education (OR = 3.36, 95% CI: 1.89, 5.98), having diarrhea (OR = 4.21, 95%CI: 1.95, 9.07) or fever (OR = 2.03, 95%CI: 1.11, 3.72), full household insurance coverage (3.48, 95%CI: 1.79, 6.76), and longer duration of illness (OR = 22.19, 95%CI: 8.88, 55.48) were significantly associated with formal care-seeking. Conclusion: Interventions such as community health workers and insurance promote access to care, however a gap remains as many children had no contact with the health system prior to death and those who sought formal care still died. Further efforts are needed to respond to urgent cases in communities and further understand remaining barriers to accessing appropriate, quality care. [ABSTRACT FROM AUTHOR]

Copyright of AIDS & Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Complications from premature birth contribute to 35% of neonatal deaths globally; therefore, efforts to improve clinical outcomes of preterm (PT) infants are imperative. Bubble continuous positive airway pressure (bCPAP) is a low-cost, effective way to improve the respiratory status of preterm and very low birth weight (VLBW) infants. However, bCPAP remains largely inaccessible in resource-limited settings, and information on the scale-up of this technology in rural health facilities is limited. This paper describes health providers' adherence to bCPAP protocols for PT/VLBW infants and clinical outcomes in rural Rwanda.Methods: This retrospective chart review included all newborns admitted to neonatal units in three rural hospitals in Rwanda between February 1st and October 31st, 2013. Analysis was restricted to PT/VLBW infants. bCPAP eligibility, identification of bCPAP eligibility and complications were assessed. Final outcome was assessed overall and by bCPAP initiation status.Results: There were 136 PT/VLBW infants. For the 135 whose bCPAP eligibility could be determined, 83 (61.5%) were bCPAP-eligible. Of bCPAP-eligible infants, 49 (59.0%) were correctly identified by health providers and 43 (51.8%) were correctly initiated on bCPAP. For the 52 infants who were not bCPAP-eligible, 45 (86.5%) were correctly identified as not bCPAP-eligible, and 46 (88.5%) did not receive bCPAP. Overall, 90 (66.2%) infants survived to discharge, 35 (25.7%) died, 3 (2.2%) were referred for tertiary care and 8 (5.9%) had unknown outcomes. Among the bCPAP eligible infants, the survival rates were 41.8% (18 of 43) for those in whom the procedure was initiated and 56.5% (13 of 23) for those in whom it was not initiated. No complications of bCPAP were reported.Conclusion: While the use of bCPAP in this rural setting appears feasible, correct identification of eligible newborns was a challenge. Mentorship and refresher trainings may improve guideline adherence, particularly given high rates of staff turnover. Future research should explore implementation challenges and assess the impact of bCPAP on long-term outcomes. [ABSTRACT FROM AUTHOR]

Background. Breast cancer incidence is increasing in low- and middle-income countries (LMICs). Mortality/incidence ratios in LMICs are higher than in high-income countries, likely at least in part because of delayed diagnoses leading to advanced-stage presentations. In the present study, we investigated the magnitude, impact of, and risk factors for, patient and system delays in breast cancer diagnosis in Rwanda. Materials and Methods. We interviewed patients with breast complaints at two rural Rwandan hospitals providing cancer care and reviewed their medical records to determine the diagnosis, diagnosis date, and breast cancer stage. Results. A total of 144 patients were included in our analysis. Median total delay was 15 months, and median patient and system delays were both 5 months. In multivariate analyses, patient and system delays of ≥6 months were significantly associated with more advanced-stage disease. Adjusting for other social, demographic, and clinical characteristics, a low level of education and seeing a traditional healer first were significantly associated with a longer patient delay. Having made ≥5 health facility visits before the diagnosis was significantly associated with a longer system delay. However, being from the same district as one of the two hospitals was associated with a decreased likelihood of system delay. Conclusion. Patients with breast cancer in Rwanda experience long patient and system delays before diagnosis; these delays increase the likelihood of more advanced-stage presentations. Educating communities and healthcare providers about breast cancer and facilitating expedited referrals could potentially reduce delays and hence mortality from breast cancer in Rwanda and similar settings. [ABSTRACT FROM AUTHOR]

Background: Research is essential to identify and prioritize health needs and to develop appropriate strategies to improve health outcomes. In the last decade, non-academic research capacity strengthening trainings in sub-Saharan Africa, coupled with developing research infrastructure and the provision of individual mentorship support, has been used to build health worker skills. The objectives of this review are to describe different training approaches to research capacity strengthening in sub-Saharan Africa outside academic programs, assess methods used to evaluate research capacity strengthening activities, and learn about the challenges facing research capacity strengthening and the strategies/innovations required to overcome them. Methodology: The PubMed database was searched using nine search terms and articles were included if 1) they explicitly described research capacity strengthening training activities, including information on program duration, target audience, immediate program outputs and outcomes; 2) all or part of the training program took place in sub-Saharan African countries; 3) the training activities were not a formal academic program; 4) papers were published between 2000 and 2013; and 5) both abstract and full paper were available in English. Results: The search resulted in 495 articles, of which 450 were retained; 14 papers met all inclusion criteria and were included and analysed. In total, 4136 people were trained, of which 2939 were from Africa. Of the 14 included papers, six fell in the category of short-term evaluation period and eight in the long-term evaluation period. Conduct of evaluations and use of evaluation frameworks varied between short and long term models and some trainings were not evaluated. Evaluation methods included tests, surveys, interviews, and systems approach matrix. Conclusions: Research capacity strengthening activities in sub-Saharan Africa outside of academic settings provide important contributions to developing in-country capacity to participate in and lead research. Institutional support, increased funds, and dedicated time for research activities are critical factors that lead to the development of successful programs. Further, knowledge sharing through scientific articles with sufficient detail is needed to enable replication of successful models in other settings. [ABSTRACT FROM AUTHOR]

Background Geographic Information Systems (GIS) have become an important tool in monitoring and improving health services, particularly at local levels. However, GIS data are often unavailable in rural settings and village-level mapping is resource-intensive. This study describes the use of community health workers' (CHW) supervisors to map villages in a mountainous rural district of Northern Rwanda and subsequent use of these data to map village-level variability in safe water availability. Methods We developed a low literacy and skills-focused training in the local language (Kinyarwanda) to train 86 CHW Supervisors and 25 nurses in charge of community health at the health center (HC) and health post (HP) levels to collect the geographic coordinates of the villages using Global Positioning Systems (GPS). Data were validated through meetings with key stakeholders at the sub-district and district levels and joined using ArcMap 10 Geo-processing tools. Costs were calculated using program budgets and activities' records, and compared with the estimated costs of mapping using a separate, trained GIS team. To demonstrate the usefulness of this work, we mapped drinking water sources (DWS) from data collected by CHW supervisors from the chief of the village. DWSs were categorized as safe versus unsafe using World Health Organization definitions. Result Following training, each CHW Supervisor spent five days collecting data on the villages in their coverage area. Over 12 months, the CHW supervisors mapped the district's 573 villages using 12 shared GPS devices. Sector maps were produced and distributed to local officials. The cost of mapping using CHW supervisors was $29,692, about two times less than the estimated cost of mapping using a trained and dedicated GIS team ($60,112). The availability of local mapping was able to rapidly identify village-level disparities in DWS, with lower access in populations living near to lakes and wetlands (p < .001). Conclusion Existing national CHW system can be leveraged to inexpensively and rapidly map villages even in mountainous rural areas. These data are important to provide managers and decision makers with local-level GIS data to rapidly identify variability in health and other related services to better target and evaluate interventions. [ABSTRACT FROM AUTHOR]

Background: Health data can be useful for effective service delivery, decision making, and evaluating existing programs in order to maintain high quality of healthcare. Studies have shown variability in data quality from national health management information systems (HMISs) in sub-Saharan Africa which threatens utility of these data as a tool to improve health systems. The purpose of this study is to assess the quality of Rwanda’s HMIS data over a 5-year period. Methods: The World Health Organization (WHO) data quality report card framework was used to assess the quality of HMIS data captured from 2008 to 2012 and is a census of all 495 publicly funded health facilities in Rwanda. Factors assessed included completeness and internal consistency of 10 indicators selected based on WHO recommendations and priority areas for the Rwanda national health sector. Completeness was measured as percentage of non-missing reports. Consistency was measured as the absence of extreme outliers, internal consistency between related indicators, and consistency of indicators over time. These assessments were done at the district and national level. Results: Nationally, the average monthly district reporting completeness rate was 98% across 10 key indicators from 2008 to 2012. Completeness of indicator data increased over time: 2008, 88%; 2009, 91%; 2010, 89%; 2011, 90%; and 2012, 95% (pB0.0001). Comparing 2011 and 2012 health events to the mean of the three preceding years, service output increased from 3% (2011) to 9% (2012). Eighty-three percent of districts reported ratios between related indicators (ANC/DTP1, DTP1/DTP3) consistent with HMIS national ratios. Conclusion and policy implications: Our findings suggest that HMIS data quality in Rwanda has been improving over time. We recommend maintaining these assessments to identify remaining gaps in data quality and that results are shared publicly to support increased use of HMIS data. [ABSTRACT FROM AUTHOR]

Background: Weak health information systems (HIS) are a critical challenge to reaching the health-related Millennium Development Goals because health systems performance cannot be adequately assessed or monitored where HIS data are incomplete, inaccurate, or untimely. The Population Health Implementation and Training (PHIT) Partnerships were established in five sub-Saharan African countries (Ghana, Mozambique, Rwanda, Tanzania, and Zambia) to catalyze advances in strengthening district health systems. Interventions were tailored to the setting in which activities were planned. Comparisons across strategies: All five PHIT Partnerships share a common feature in their goal of enhancing HIS and linking data with improved decision-making, specific strategies varied. Mozambique, Ghana, and Tanzania all focus on improving the quality and use of the existing Ministry of Health HIS, while the Zambia and Rwanda partnerships have introduced new information and communication technology systems or tools. All partnerships have adopted a flexible, iterative approach in designing and refining the development of new tools and approaches for HIS enhancement (such as routine data quality audits and automated troubleshooting), as well as improving decision making through timely feedback on health system performance (such as through summary data dashboards or routine data review meetings). The most striking differences between partnership approaches can be found in the level of emphasis of data collection (patient versus health facility), and consequently the level of decision making enhancement (community, facility, district, or provincial leadership). Discussion: Design differences across PHIT Partnerships reflect differing theories of change, particularly regarding what information is needed, who will use the information to affect change, and how this change is expected to manifest. The iterative process of data use to monitor and assess the health system has been heavily communication dependent, with challenges due to poor feedback loops. Implementation to date has highlighted the importance of engaging frontline staff and managers in improving data collection and its use for informing system improvement. Through rigorous process and impact evaluation, the experience of the PHIT teams hope to contribute to the evidence base in the areas of HIS strengthening, linking HIS with decision making, and its impact on measures of health system outputs and impact. [ABSTRACT FROM AUTHOR]

Background: Nationally, health in Rwanda has been improving since 2000, with considerable improvement since 2005. Despite improvements, rural areas continue to lag behind urban sectors with regard to key health outcomes. Partners In Health (PIH) has been supporting the Rwanda Ministry of Health (MOH) in two rural districts in Rwanda since 2005. Since 2009, the MOH and PIH have spearheaded a health systems strengthening (HSS) intervention in these districts as part of the Rwanda Population Health Implementation and Training (PHIT) Partnership. The partnership is guided by the belief that HSS interventions should be comprehensive, integrated, responsive to local conditions, and address health care access, cost, and quality. The PHIT Partnership represents a collaboration between the MOH and PIH, with support from the National University of Rwanda School of Public Health, the National Institute of Statistics, Harvard Medical School, and Brigham and Women's Hospital. Description of intervention: The PHIT Partnership's health systems support aligns with the World Health Organization's six health systems building blocks. HSS activities focus across all levels of the health system -- community, health center, hospital, and district leadership -- to improve health care access, quality, delivery, and health outcomes. Interventions are concentrated on three main areas: targeted support for health facilities, quality improvement initiatives, and a strengthened network of community health workers. Evaluation design: The impact of activities will be assessed using population-level outcomes data collected through oversampling of the demographic and health survey (DHS) in the intervention districts. The overall impact evaluation is complemented by an analysis of trends in facility health care utilization. A comprehensive costing project captures the total expenditures and financial inputs of the health care system to determine the cost of systems improvement. Targeted evaluations and operational research pieces focus on specific programmatic components, supported by partnership-supported work to build in-country research capacity. Discussion: Building on early successes, the work of the Rwanda PHIT Partnership approach to HSS has already seen noticeable increases in facility capacity and quality of care. The rigorous planned evaluation of the Partnership's HSS activities will contribute to global knowledge about intervention methodology, cost, and population health impact. [ABSTRACT FROM AUTHOR]

Copyright of Tropical Medicine & International Health is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Partners In Health (PIH) implemented an electronic medical record (EMR) system in Rwanda in 2005 to support and improve HIV and TB patient care. The system holds detailed patient records, accessible to clinicians through printed reports or directly via a computer in the consultation rooms. Ongoing assessment of data quality and clinical data use has led multiple interventions to be put in place. One such evaluation cycle led to the implementation of a system which identified 15 previously undiagnosed pediatric patients with HIV. Another cycle led to an EMR intervention which helped to decrease the proportion of completed critical CD4 lab results that did not reach clinicians by 34.2% (p=.002). Additionally an automated data quality improvement system reduced known errors by 92% by providing local data officers a tool and training to allow them to easily access and correct data errors. Electronic systems can be used to support care in rural resource-poor settings, and frequent assessment of data quality and clinical use of data can be used to support that goal. [ABSTRACT FROM AUTHOR]

Aim At a time when workforce shortages in general practices are leading to greater role substitution and skill-mix diversification, and the demand on general practices for chronic disease care is increasing, the structure and function of the general practice team is taking on heightened importance. To assist general practices and the organizations supporting them to assess the effectiveness of their chronic care teamworking, we developed an interview tool, the Chronic Care Team Profile (CCTP), to measure the structure and function of teams in general practice. This paper describes its properties and potential use. Method An initial pool of items was derived from guidelines of best-practice for chronic disease care and performance standards for general practices. The items covered staffing, skill-mix, job descriptions and roles, training, protocols and procedures within the practice. The 41-item pool was factor analysed, retained items were measured for internal consistency and the reduced instrument's face, content and construct validity were evaluated. Results A three-factor solution corresponding to non-general practitioner staff roles in chronic care, administrative functions and management structures provided the best fit to the data and explained 45% of the variance in the CCTP. Further analyses suggested that the CCTP is reliable, valid and has some utility. Discussion The CCTP measures aspects of the structure and function of general practices which are independent of team processes. It is associated with the job satisfaction of general practice staff and the quality of care provided to patients with chronic illnesses. As such, the CCTP offers a simple and useful tool for general practices to assess their teamworking in chronic disease care. [ABSTRACT FROM AUTHOR]

Objective and Background: We investigated the quality of primary care asthma management in a sample of Australian general practices. Methods: 247 general practitioners (GPs) from 97 practices completed a structured interview about management of asthma, diabetes and hypertension/heart disease. A further structured interview with the senior practice principal and practice manager was used to collect information about practice capacity for chronic disease management. Results: Just under half of GPs (47%) had access to an asthma register and the majority (76%) had access to spirometry in their practice. In terms of routine management of asthma, 12% of GPs reported using spirometry routinely, 13% routinely reviewed written asthma action plans, 27% routinely provided education about trigger factors, 30% routinely reviewed inhaler technique, 24% routinely assessed asthma severity, and 29% routinely assessed physical activity. Practice characteristics such as practice size (p=1.0) and locality (rural/metropolitan) (p=0.7) did not predict quality of asthma management nor did indicators of practice capacity including Business maturity, IT/IM maturity, Multidisciplinary teamwork, and Clinical linkages. Conclusion: Gaps remain in the provision of evidence-based care for patients with asthma in general practice. Markers of practice capacity measured here were not associated with guideline-based respiratory care within practices. [ABSTRACT FROM AUTHOR]

Few studies have explored how lifestyle counselling can be integrated into routine practice for primary health care (PHC) clinicians working outside general practice. This paper describes the feasibility of models of lifestyle counselling developed for PHC clinicians working in community health services and the congruence with routine practice. Action research methods were used to develop and implement models of lifestyle counselling in three community health teams.Following a six-month implementation period, semi-structured interviews were conducted with a purposeful sample of participants (n=30) to explore the appropriateness of implementing risk factor management models in practice. Models were considered appropriate if they fitted the clinician's philosophy of practice, were relevant to existing work tasks, could easily be integrated into workflow and were perceived as being acceptable to the client. The approach to service delivery and team priorities were also important in influencing which models suited particular teams. Models of lifestyle counselling for PHC clinicians outside general practice should be tailored to the clinicians' and teams' way of working and thus may need to be discipline-specific. Engaging PHC clinicians and teams is important in developing models that are acceptable and feasible in everyday practice. [ABSTRACT FROM AUTHOR]

There is increasing evidence that prevention of chronic disease is possible and that primary care can contribute to this. This paper aims to explore the development of policies and programs to improve chronic disease prevention via behavioural risk factor management in Australian general practice and the impact of these between 2 001 and the present. This involved a review of policy initiatives and developments in Australian general practice, drawing on published research over this period. Behavioural risk factor management has not been comprehensively implemented in the way in which it was originally envisaged under the SNAP (Smoking, Nutrition, Alcohol and Physical Activity) framework, with initiatives and programs emerging over time in a much less planned way, including Lifescripts and more recently the 45 -49 year health check. There has been a gradual development in capacity, especially in relation to workforce, education and training, educational materials, financial and decision support with divisions of general practice emerging to play a key facilitation role. Despite this, important gaps remain especially in relation to the use of team approaches within and outside the practice including access to referral services and programs. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the association of characteristics of patients and general practices with patient assessment of quality of care.Design: Cross-sectional multi-practice study using the general practice assessment survey.Setting: General practices in Australia.Participants: Ninety-six general practices and 7505 chronic illness patients aged >or=18 years.Main Outcome Measures: Access of care and patient-centredness.Results: Two factors were identified in factor analysis: 'Access of care' and 'Patient-centredness'. Multilevel regression analysis showed significant associations between patients' assessments and patient and practice characteristics. Patients from smaller practices (one to three general practitioners) reported better access to care compared with larger practices. Patients from urban areas were more satisfied with patient-centredness than those from rural areas. Self-reported health status and age had a positive and home ownership, employment and education, and patients from non-English-speaking countries a negative relationship with both scores. Females were more satisfied with patient-centredness.Conclusions: Patient assessments of quality of care and patient-centredness were strongly associated with practice and patient characteristics. This has important implications for interpreting assessments of the quality of primary care, and for policy and practice measures designed to improve this. [ABSTRACT FROM AUTHOR]

Background: Primary health care (PHC) clinicians have an important role to play in addressing lifestyle risk factors for chronic diseases. However they intervene only rarely, despite the opportunities that arise within their routine clinical practice. Beliefs and attitudes have been shown to be associated with risk factor management practices, but little is known about this for PHC clinicians working outside general practice. The aim of this study was to explore the beliefs and attitudes of PHC clinicians about incorporating lifestyle risk factor management into their routine care and to examine whether these varied according to their self reported level of risk factor management. Methods: A cross sectional survey was undertaken with PHC clinicians (n = 59) in three community health teams. Clinicians' beliefs and attitudes were also explored through qualitative interviews with a purposeful sample of 22 clinicians from the teams. Mixed methods analysis was used to compare beliefs and attitudes for those with high and low levels of self reported risk factor management. Results: Role congruence, perceived client acceptability, beliefs about capabilities, perceived effectiveness and clinicians' own lifestyle were key themes related to risk factor management practices. Those reporting high levels of risk factor screening and intervention had different beliefs and attitudes to those PHC clinicians who reported lower levels. Conclusion: PHC clinicians' level of involvement in risk factor management reflects their beliefs and attitudes about it. This provides insights into ways of intervening to improve the integration of behavioural risk factor management into routine practice. [ABSTRACT FROM AUTHOR]

Objective: Teamwork in primary healthcare is associated with patient care processes and staff outcomes. The ability of teams to be innovative is a hypothesized mechanism. We examined the characteristics of general practices with good team climate for innovation, and assessed the impact of climate on chronically ill patients' assessment of their care and on the job satisfaction of the staff.Design: Large cross-sectional study.Setting: Australian general practices.Participants: A total of 654 general practitioners and staff and 7505 chronically ill patients from 93 general practices in 6 Australian states and territories.Measures: The Team Climate Inventory and the Overall Job Satisfaction Scale, customized for use with general practices, were administered to general practitioners and practice staff, and the General Practice Assessment Survey was administered to patients. Practice characteristics were collected by survey from the principal doctor or practice manager.Results: Mean scores of team climate in Australian general practices were similar to those reported in the UK, except that in our study there was no association between the number of doctors in a practice and their team climate. Better team climate was found in practices with fewer non-clinical staff. Team climate predicted the job satisfaction of the general practitioners and staff, irrespective of the number of practice staff. Better team climate was associated with greater satisfaction by patients with their care.Conclusions: Team climate is important for patient and staff satisfaction. In large general practices, separate sub-cultures may exist between administrative and clinical staff, which has implications for designing effective team interventions. [ABSTRACT FROM AUTHOR]

Background: This article describes the development and psychometric evaluation of an interview instrument to assess provider-reported quality of general practice care for patients with diabetes, cardiovascular disease and asthma — the Australian General Practice Clinical Care Interview (GPCCI). Methods: We administered the GPCCI to 28 general practitioners (family physicians) in 10 general practices. We conducted an item analysis and assessed the internal consistency of the instrument. We next assessed the quality of care recorded in the medical records of 462 of the general practitioners' patients with Type 2 diabetes, ischaemic heart disease/hypertension and/or moderate to severe asthma. This was then compared with results of the GPCCI for each general practice. Results: Good internal consistency was found for the overall GPCCI (Cronbach's alpha = 0.75). As far as the separate sub-scales were concerned, diabetes had good internal consistency (0.76) but the internal consistency of the heart disease and asthma subscales was not strong (0.49 and 0.16 respectively). There was high inter-rater reliability of the adjusted scores of data extracted from patients' medical notes for each of the three conditions. Correlations of the overall GPCCI and patients' medical notes audit, combined across the three conditions and aggregated to practice level, showed that a strong relationship (r = 0.84, p = 0.003) existed between the two indices of clinical care. Conclusion: This study suggests that the GPCCI has good internal consistency and concurrent validity with patients' medical records in Australian general practice and warrants further evaluation of its properties, validity and utility. [ABSTRACT FROM AUTHOR]

Background: Rwanda has dramatically reduced child mortality, but the causes and sociodemographic drivers for mortality are poorly understood.Methods: We conducted a matched case-control study of all children who died before 5 years of age in eastern Rwanda between 1st March 2013 and 28th February 2014 to identify causes and risk factors for death. We identified deaths at the facility level and via a community health worker reporting system. We used verbal social autopsy to interview caregivers of deceased children and controls matched by area and age. We used InterVA4 to determine probable causes of death and cause-specific mortality fractions, and utilized conditional logistic regression to identify clinical, family, and household risk factors for death.Results: We identified 618 deaths including 174 (28.2%) in neonates and 444 (71.8%) in non-neonates. The most commonly identified causes of death were pneumonia, birth asphyxia, and meningitis among neonates and malaria, acute respiratory infections, and HIV/AIDS-related death among non-neonates. Among neonates, 54 (31.0%) deaths occurred at home and for non-neonates 242 (54.5%) deaths occurred at home. Factors associated with neonatal death included home birth (aOR: 2.0; 95% CI: 1.4-2.8), multiple gestation (aOR: 2.1; 95% CI: 1.3-3.5), both parents deceased (aOR: 4.7; 95% CI: 1.5-15.3), mothers non-use of family planning (aOR: 0.8; 95% CI: 0.6-1.0), lack of accompanying person (aOR: 1.6; 95% CI: 1.1-2.1), and a caregiver who assessed the medical services they received as moderate to poor (aOR: 1.5; 95% CI: 1.2-1.9). Factors associated with non-neonatal deaths included multiple gestation (aOR: 2.8; 95% CI: 1.7-4.8), lack of adequate vaccinations (aOR: 1.7; 95% CI: 1.2-2.3), household size (aOR: 1.2; 95% CI: 1.0-1.4), maternal education levels (aOR: 1.9; 95% CI: 1.2-3.1), mothers non-use of family planning (aOR: 1.6; 95% CI: 1.4-1.8), and lack of household electricity (aOR: 1.4; 95% CI: 1.0-1.8).Conclusion: In the context of rapidly declining childhood mortality in Rwanda and increased access to health care, we found a large proportion of remaining deaths occur at home, with home deliveries still representing a significant risk factor for neonatal death. The major causes of death at a population level remain largely avoidable communicable diseases. Household characteristics associated with death included well-established socioeconomic and care-seeking risk factors. [ABSTRACT FROM AUTHOR]

Background: Sustained investments in Rwanda's health system have led to historic reductions in under five (U5) mortality. Although Rwanda achieved an estimated 68% decrease in the national under U5 mortality rate between 2002 and 2012, according to the national census, 5.8% of children still do not reach their fifth birthday, requiring the next wave of child mortality prevention strategies.Methods: This is a cross-sectional study of 9002 births to 6328 women age 15-49 in the 2010 Rwanda Demographic and Health Survey. We tested bivariate associations between 29 covariates and U5 mortality, retaining covariates with an odds ratio p < 0.1 for model building. We used manual backward stepwise logistic regression to identify correlates of U5 mortality in all children U5, 0-11 months, and 12-59 months. Analyses were performed in Stata v12, adjusting for complex sample design.Results: Of 14 covariates associated with U5 mortality in bivariate analysis, the following remained associated with U5 mortality in multivariate analysis: household being among the poorest of the poor (OR = 1.98), child being a twin (OR = 2.40), mother having 3-4 births in the past 5 years (OR = 3.97) compared to 1-2 births, mother being HIV positive (OR = 2.27), and mother not using contraceptives (OR = 1.37) compared to using a modern method (p < 0.05 for all). Mother experiencing physical or sexual violence in the last 12 months was associated with U5 mortality in children ages 1-4 years (OR = 1.48, p < 0.05). U5 survival was associated with a preceding birth interval 25-50 months (OR = 0.67) compared to 9-24 months, and having a mosquito net (OR = 0.46) (p < 0.05 for both).Conclusions: In the past decade, Rwanda rolled out integrated management of childhood illness, near universal coverage of childhood vaccinations, a national community health worker program, and a universal health insurance scheme. Identifying factors that continue to be associated with childhood mortality supports determination of which interventions to strengthen to reduce it further. This study suggests that Rwanda's next wave of U5 mortality reduction should target programs in improving neonatal outcomes, poverty reduction, family planning, HIV services, malaria prevention, and prevention of intimate partner violence. [ABSTRACT FROM AUTHOR]

Background: Promoting national health research agendas in low- and middle-income countries (LMICs) requires adequate numbers of individuals with skills to initiate and conduct research. Recently, non-governmental organizations (NGOs) have joined research capacity building efforts to increase research leadership by LMIC nationals. Partners In Health, an international NGO operating in Rwanda, implemented its first Intermediate Operational Research Training (IORT) course to cultivate Rwandan research talent and generate evidence to improve health care delivery. Objective: This paper describes the implementation of IORT to share experiences with other organizations interested in developing similar training programmes. Methods: The Intermediate Operational Research Training utilized a deliverable-driven training model, using learning-by-doing pedagogy with intensive hands-on mentorship to build research skills from protocol development to scientific publication. The course had short (two-day) but frequent training sessions (seven sessions over eight months). Trainees were clinical and programme staff working at the district level who were paired to jointly lead a research project. Results: Of 10 trainees admitted to the course from a pool of 24 applicants, nine trainees completed the course with five research projects published in peer-reviewed journals. Strengths of the course included supportive national and institutional research capacity guidelines, building from a successful training model, and trainee commitment. Challenges included delays in ethical review, high mentorship workload of up to 250 hours of practicum mentorship, lack of access to literature in subscription journals and high costs of open access publication. Conclusions: The IORT course was an effective way to support the district-based government and NGO staff in gaining research skills, as well as answering research questions relevant to health service delivery at district hospitals. Other NGOs should build on successful programmes while adapting course elements to address context-specific challenges. Mentorship for LMIC trainees is critical for effectiveness of research capacity building initiatives. [ABSTRACT FROM PUBLISHER]

In developing countries, clinical guidelines and patient follow-up are primarily paper-based. We describe the use of Electronic Medical Record data for evidence-based clinical decisions and improved HIV patients monitoring in rural Rwanda. [ABSTRACT FROM AUTHOR]

Background: Research is essential to identify and prioritize health needs and to develop appropriate strategies to improve health outcomes. In the last decade, non-academic research capacity strengthening trainings in sub-Saharan Africa, coupled with developing research infrastructure and the provision of individual mentorship support, has been used to build health worker skills. The objectives of this review are to describe different training approaches to research capacity strengthening in sub-Saharan Africa outside academic programs, assess methods used to evaluate research capacity strengthening activities, and learn about the challenges facing research capacity strengthening and the strategies/innovations required to overcome them.Methodology: The PubMed database was searched using nine search terms and articles were included if 1) they explicitly described research capacity strengthening training activities, including information on program duration, target audience, immediate program outputs and outcomes; 2) all or part of the training program took place in sub-Saharan African countries; 3) the training activities were not a formal academic program; 4) papers were published between 2000 and 2013; and 5) both abstract and full paper were available in English.Results: The search resulted in 495 articles, of which 450 were retained; 14 papers met all inclusion criteria and were included and analysed. In total, 4136 people were trained, of which 2939 were from Africa. Of the 14 included papers, six fell in the category of short-term evaluation period and eight in the long-term evaluation period. Conduct of evaluations and use of evaluation frameworks varied between short and long term models and some trainings were not evaluated. Evaluation methods included tests, surveys, interviews, and systems approach matrix.Conclusions: Research capacity strengthening activities in sub-Saharan Africa outside of academic settings provide important contributions to developing in-country capacity to participate in and lead research. Institutional support, increased funds, and dedicated time for research activities are critical factors that lead to the development of successful programs. Further, knowledge sharing through scientific articles with sufficient detail is needed to enable replication of successful models in other settings. [ABSTRACT FROM AUTHOR]

Background: Weak health information systems (HIS) are a critical challenge to reaching the health-related Millennium Development Goals because health systems performance cannot be adequately assessed or monitored where HIS data are incomplete, inaccurate, or untimely. The Population Health Implementation and Training (PHIT) Partnerships were established in five sub-Saharan African countries (Ghana, Mozambique, Rwanda, Tanzania, and Zambia) to catalyze advances in strengthening district health systems. Interventions were tailored to the setting in which activities were planned.Comparisons Across Strategies: All five PHIT Partnerships share a common feature in their goal of enhancing HIS and linking data with improved decision-making, specific strategies varied. Mozambique, Ghana, and Tanzania all focus on improving the quality and use of the existing Ministry of Health HIS, while the Zambia and Rwanda partnerships have introduced new information and communication technology systems or tools. All partnerships have adopted a flexible, iterative approach in designing and refining the development of new tools and approaches for HIS enhancement (such as routine data quality audits and automated troubleshooting), as well as improving decision making through timely feedback on health system performance (such as through summary data dashboards or routine data review meetings). The most striking differences between partnership approaches can be found in the level of emphasis of data collection (patient versus health facility), and consequently the level of decision making enhancement (community, facility, district, or provincial leadership).Discussion: Design differences across PHIT Partnerships reflect differing theories of change, particularly regarding what information is needed, who will use the information to affect change, and how this change is expected to manifest. The iterative process of data use to monitor and assess the health system has been heavily communication dependent, with challenges due to poor feedback loops. Implementation to date has highlighted the importance of engaging frontline staff and managers in improving data collection and its use for informing system improvement. Through rigorous process and impact evaluation, the experience of the PHIT teams hope to contribute to the evidence base in the areas of HIS strengthening, linking HIS with decision making, and its impact on measures of health system outputs and impact. [ABSTRACT FROM AUTHOR]

Background: Nationally, health in Rwanda has been improving since 2000, with considerable improvement since 2005. Despite improvements, rural areas continue to lag behind urban sectors with regard to key health outcomes. Partners In Health (PIH) has been supporting the Rwanda Ministry of Health (MOH) in two rural districts in Rwanda since 2005. Since 2009, the MOH and PIH have spearheaded a health systems strengthening (HSS) intervention in these districts as part of the Rwanda Population Health Implementation and Training (PHIT) Partnership. The partnership is guided by the belief that HSS interventions should be comprehensive, integrated, responsive to local conditions, and address health care access, cost, and quality. The PHIT Partnership represents a collaboration between the MOH and PIH, with support from the National University of Rwanda School of Public Health, the National Institute of Statistics, Harvard Medical School, and Brigham and Women's Hospital.Description Of Intervention: The PHIT Partnership's health systems support aligns with the World Health Organization's six health systems building blocks. HSS activities focus across all levels of the health system - community, health center, hospital, and district leadership - to improve health care access, quality, delivery, and health outcomes. Interventions are concentrated on three main areas: targeted support for health facilities, quality improvement initiatives, and a strengthened network of community health workers.Evaluation Design: The impact of activities will be assessed using population-level outcomes data collected through oversampling of the demographic and health survey (DHS) in the intervention districts. The overall impact evaluation is complemented by an analysis of trends in facility health care utilization. A comprehensive costing project captures the total expenditures and financial inputs of the health care system to determine the cost of systems improvement. Targeted evaluations and operational research pieces focus on specific programmatic components, supported by partnership-supported work to build in-country research capacity.Discussion: Building on early successes, the work of the Rwanda PHIT Partnership approach to HSS has already seen noticeable increases in facility capacity and quality of care. The rigorous planned evaluation of the Partnership's HSS activities will contribute to global knowledge about intervention methodology, cost, and population health impact. [ABSTRACT FROM AUTHOR]

Background: Primary health care (PHC) clinicians have an important role to play in addressing lifestyle risk factors for chronic diseases. However they intervene only rarely, despite the opportunities that arise within their routine clinical practice. Beliefs and attitudes have been shown to be associated with risk factor management practices, but little is known about this for PHC clinicians working outside general practice. The aim of this study was to explore the beliefs and attitudes of PHC clinicians about incorporating lifestyle risk factor management into their routine care and to examine whether these varied according to their self reported level of risk factor management.Methods: A cross sectional survey was undertaken with PHC clinicians (n = 59) in three community health teams. Clinicians' beliefs and attitudes were also explored through qualitative interviews with a purposeful sample of 22 clinicians from the teams. Mixed methods analysis was used to compare beliefs and attitudes for those with high and low levels of self reported risk factor management.Results: Role congruence, perceived client acceptability, beliefs about capabilities, perceived effectiveness and clinicians' own lifestyle were key themes related to risk factor management practices. Those reporting high levels of risk factor screening and intervention had different beliefs and attitudes to those PHC clinicians who reported lower levels.Conclusion: PHC clinicians' level of involvement in risk factor management reflects their beliefs and attitudes about it. This provides insights into ways of intervening to improve the integration of behavioural risk factor management into routine practice. [ABSTRACT FROM AUTHOR]