Community-Based Accompaniment and the Impact of Distance for HIV Patients Newly Initiated on Antiretroviral Therapy: Early Outcomes and Clinic Visit Adherence in Rural Rwanda.

Community-based accompaniment (CBA) has been associated with improved antiretroviral therapy (ART) patient outcomes in Rwanda. In contrast, distance has generally been associated with poor outcomes. However, impact of distance on outcomes under the CBA model is unknown. This retrospective cohort study included 537 adults initiated on ART in 2012 in two rural districts in Rwanda. The primary outcomes at 6 months after ART initiation included overall program status, missed a visit and missed three consecutive visits. The associations between cost surface distance (straight-line distance adjusted for surface features) and outcomes were assessed using logistic regression, controlling for potential confounders. Died/lost-to-follow-up and missed three consecutive visits were not associated with distance. Patients within 0-1 km cost surface distance were significantly more likely to miss a visit, potentially due to stigma of attending clinic within one's community. These results suggest that CBA may mediate the impact of long distances on outcomes.

Causes of death and predictors of childhood mortality in Rwanda: a matched case-control study using verbal social autopsy.

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.

Next wave of interventions to reduce under-five mortality in Rwanda: a cross-sectional analysis of demographic and health survey data.

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.

Delays in Breast Cancer Presentation and Diagnosis at Two Rural Cancer Referral Centers in Rwanda.

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. IMPLICATIONS FOR PRACTICE: Breast cancer rates are increasing in low- and middle-income countries, and case fatality rates are high, in part because of delayed diagnosis and treatment. This study examined the delays experienced by patients with breast cancer at two rural Rwandan cancer facilities. Both patient delays (the interval between symptom development and the patient's first presentation to a healthcare provider) and system delays (the interval between the first presentation and diagnosis) were long. The total delays were the longest reported in published studies. Longer delays were associated with more advanced-stage disease. These findings suggest that an opportunity exists to reduce breast cancer mortality in Rwanda by addressing barriers in the community and healthcare system to promote earlier detection.

Bubble CPAP to support preterm infants in rural Rwanda: a retrospective cohort study.

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.

Approaches and impact of non-academic research capacity strengthening training models in sub-Saharan Africa: a systematic review.

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.

Leveraging community health worker system to map a mountainous rural district in low resource setting: a low-cost approach to expand use of geographic information systems for public health.

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.

Local use of geographic information systems to improve data utilisation and health services: mapping caesarean section coverage in rural Rwanda.

OBJECTIVES: To show the utility of combining routinely collected data with geographic location using a Geographic Information System (GIS) in order to facilitate a data-driven approach to identifying potential gaps in access to emergency obstetric care within a rural Rwandan health district. METHODS: Total expected births in 2009 at sub-district levels were estimated using community health worker collected population data. Clinical data were extracted from birth registries at eight health centres (HCs) and the district hospital (DH). C-section rates as a proportion of total expected births were mapped by cell. Peri-partum foetal mortality rates per facility-based births, as well as the rate of uterine rupture as an indication for C-section, were compared between areas of low and high C-section rates. RESULTS: The lowest C-section rates were found in the more remote part of the hospital catchment area. The sector with significantly lower C-section rates had significantly higher facility-based peri-partum foetal mortality and incidence of uterine rupture than the sector with the highest C-section rates (P < 0.034). CONCLUSIONS: This simple approach for geographic monitoring and evaluation leveraging existing health service and GIS data facilitated evidence-based decision making and represents a feasible approach to further strengthen local data-driven decisions for resource allocation and quality improvement.

Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative.

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.

Comprehensive and integrated district health systems strengthening: the Rwanda Population Health Implementation and Training (PHIT) Partnership.

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.

Using electronic medical records for HIV care in rural Rwanda.

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.

Quality of life of Australian chronically-ill adults: patient and practice characteristics matter.

BACKGROUND: To study health-related quality of life (HRQOL) in a large sample of Australian chronically-ill patients and investigate the impact of characteristics of patients and their general practices on their HRQOL and to assess the construct validity of SF-12 in Australia. METHODS: Cross sectional study with 96 general practices and 7606 chronically-ill patients aged 18 years or more using standard SF-12 version 2. Factor analysis was used to confirm the hypothesized component structure of the SF-12 items. SF-12 physical component score (PCS-12) and mental component score (MCS-12) were derived using the standard US algorithm. Multilevel regression analysis (patients at level 1 and practices at level 2) was applied to relate PCS-12 and MCS-12 to patient and practice characteristics. RESULTS: There were significant associations between lower PCS-12 or MCS-12 score and poorer general health (10.8 (regression coefficient) lower for PCS-12 and 7.3 lower for MCS-12), low socio-economic status (5.1 lower PCS-12 and 2.9 lower MCS-12 for unemployed, 0.8 lower PCS-12 and 1.7 lower MCS-12 for non-owner-occupiers, 1.0 lower PCS-12 for less well-educated) and having two or more chronic conditions (up to 2.7 lower PCS-12 and up to 1.5 lower MCS-12 than those having a single disease). Younger age was associated with lower MCS-12 (2.2 and 6.0 lower than middle age and older age respectively) but higher PCS-12 (4.7 and 7.6 higher than middle age and older age respectively). Satisfaction with quality of care (regression coefficient = 1.2) and patients who were married or cohabiting (regression coefficient = 0.6) was positively associated with MCS-12. Patients born in non-English-speaking countries were more likely to have a lower MCS-12 (1.5 lower) than those born in Australia. Employment had a stronger association with the quality of life of males than that of females. Those attending smaller practices had lower PCS-12 (1.0 lower) and MCS-12 (0.6 lower) than those attending larger practices. At the patient level (level 1) 42% and 21% of the variance respectively for PCS-12 and MCS-12 were explained by the patients and practice characteristics. At the practice level (level 2), 73% and 49% of the variance respectively for PCS-12 and MCS-12 were explained by patients and practice characteristics. CONCLUSION: The strong association between patient characteristics such as socio-economic status, age, and ethnicity and SF-12 physical and mental component summary scores underlines the importance of considering these factors in the management of chronically-ill patients in general practice. The SF-12 appears to be a valid measure for assessing HRQOL of Australian chronically-ill patients.

Attitudes, norms and controls influencing lifestyle risk factor management in general practice.

BACKGROUND: With increasing rates of chronic disease associated with lifestyle behavioural risk factors, there is urgent need for intervention strategies in primary health care. Currently there is a gap in the knowledge of factors that influence the delivery of preventive strategies by General Practitioners (GPs) around interventions for smoking, nutrition, alcohol consumption and physical activity (SNAP). This qualitative study explores the delivery of lifestyle behavioural risk factor screening and management by GPs within a 45-49 year old health check consultation. The aims of this research are to identify the influences affecting GPs' choosing to screen and choosing to manage SNAP lifestyle risk factors, as well as identify influences on screening and management when multiple SNAP factors exist. METHODS: A total of 29 audio-taped interviews were conducted with 15 GPs and one practice nurse over two stages. Transcripts from the interviews were thematically analysed, and a model of influencing factors on preventive care behaviour was developed using the Theory of Planned Behaviour as a structural framework. RESULTS: GPs felt that assessing smoking status was straightforward, however some found assessing alcohol intake only possible during a formal health check. Diet and physical activity were often inferred from appearance, only being assessed if the patient was overweight. The frequency and thoroughness of assessment were influenced by the GPs' personal interests and perceived congruence with their role, the level of risk to the patient, the capacity of the practice and availability of time. All GPs considered advising and educating patients part of their professional responsibility. However their attempts to motivate patients were influenced by perceptions of their own effectiveness, with smoking causing the most frustration. Active follow-up and referral of patients appeared to depend on the GPs' orientation to preventive care, the patient's motivation, and cost and accessibility of services to patients. CONCLUSION: General practitioner attitudes, normative influences from both patients and the profession, and perceived external control factors (time, cost, availability and practice capacity) all influence management of behavioural risk factors. Provider education, community awareness raising, support and capacity building may improve the uptake of lifestyle modification interventions.

Management of asthma in Australian general practice: care is still not in line with clinical practice guidelines.

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.

The 45 year old health check - feasibility and impact on practices and patient behaviour.

BACKGROUND: The 45 year old health check (MBS item 717) for patients aged 45-49 years was introduced in 2006. This study evaluated its impact on preventive care and patient reported risk factors. METHODS: A quantitative and qualitative study was conducted in eight general practices in Sydney, New South Wales. It involved follow up surveys of 118 patients taken both before the check and 3 months after. Practice staff were trained and supported to conduct the health checks and appropriate interventions. RESULTS: There was ambivalence among some of the general practitioners toward the health check, but most found it feasible. The reported frequency of GP advice relating to each of the SNAP (smoking, nutrition, alcohol, and physical activity) risk factors increased; patient referrals, however, were infrequent. Patients' readiness to change their diet and exercise habits improved as a result of the check, with respondents showing an increase in both the consumption of vegetables and the frequency of physical activity. There was no change in body mass index, smoking or alcohol consumption. DISCUSSION: The health check was associated with a short term improvement in diet and physical activity behaviours. Mechanisms to enhance referral need to be developed.

"Should I and can I?" A mixed methods study of clinician beliefs and attitudes in the management of lifestyle risk factors in primary health care.

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.

New 45-49 year health checks - GP uptake of MBS item 717.

BACKGROUND: The Medicare Benefits Schedule item 717 was introduced in November 2006 for health checks among Australians aged 45-49 years. This study examines current data on Medicare item 717 in order to identify trends in general practitioner and patient participation. METHODS: Medicare data and division population and GP data was collected quarterly from November 2006 to September 2007. The number of claims and number of GPs claiming one or more item 717 health check were analysed at the division level. Associations based on location, socioeconomic status and ethnicity were sought. RESULTS: The health check was claimed for 7.7% of the estimated population aged 45-49 years, with no significant difference by gender. These positively correlated with GP participation rates. Patient participation was higher in divisions with a higher proportion of recent migrants from non-English speaking countries. General practitioner participation increased with rurality, with the exclusion of remote areas. No significant associations were found with socioeconomic status or education. DISCUSSION: There has been rapid uptake of the health check item by GPs in divisions with lower ratios of GPs to population, with no evidence of a socioeconomic or gender bias.

Care-seeking patterns among families that experienced under-five child mortality in rural Rwanda.

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.

Impact of a health system strengthening intervention on maternal and child health outputs and outcomes in rural Rwanda 2005-2010.

INTRODUCTION: Although Rwanda's health system underwent major reforms and improvements after the 1994 Genocide, the health system and population health in the southeast lagged behind other areas. In 2005, Partners In Health and the Rwandan Ministry of Health began a health system strengthening intervention in this region. We evaluate potential impacts of the intervention on maternal and child health indicators. METHODS: Combining results from the 2005 and 2010 Demographic and Health Surveys with those from a supplemental 2010 survey, we compared changes in health system output indicators and population health outcomes between 2005 and 2010 as reported by women living in the intervention area with those reported by the pooled population of women from all other rural areas of the country, controlling for potential confounding by economic and demographic variables. RESULTS: Overall health system coverage improved similarly in the comparison groups between 2005 and 2010, with an indicator of composite coverage of child health interventions increasing from 57.9% to 75.0% in the intervention area and from 58.7% to 73.8% in the other rural areas. Under-five mortality declined by an annual rate of 12.8% in the intervention area, from 229.8 to 83.2 deaths per 1000 live births, and by 8.9% in other rural areas, from 157.7 to 75.8 deaths per 1000 live births. Improvements were most marked among the poorest households. CONCLUSION: We observed dramatic improvements in population health outcomes including under-five mortality between 2005 and 2010 in rural Rwanda generally and in the intervention area specifically.

Quality of chronic disease care in general practice: the development and validation of a provider interview tool.

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.