Five-Year Mortality Rates Following Elective Shoulder Arthroplasty and Shoulder Arthroplasty for Fracture in Patients Over Age 65.

Background: To effectively counsel patients prior to shoulder arthroplasty, surgeons should understand the overall life trajectory and life expectancy of patients in the context of the patient's shoulder pathology and medical comorbidities. Such an understanding can influence both operative and nonoperative decision-making and implant choices. This study evaluated 5-year mortality following shoulder arthroplasty in patients ≥65 years old and identified associated risk factors. Methods: We utilized Centers for Medicare & Medicaid Services Fee-for-Service inpatient and outpatient claims data to investigate the 5-year mortality rate following shoulder arthroplasty procedures performed from 2014 to 2016. The impact of patient demographics, including fracture diagnosis, year fixed effects, and state fixed effects; patient comorbidities; and hospital-level characteristics on 5-year mortality rates were assessed with use of a Cox proportional hazards regression model. A p value of <0.05 was considered significant. Results: A total of 108,667 shoulder arthroplasty cases (96,104 nonfracture and 12,563 fracture) were examined. The cohort was 62.7% female and 5.8% non-White and had a mean age at surgery of 74.3 years. The mean 5-year mortality rate was 16.6% across all shoulder arthroplasty cases, 14.9% for nonfracture cases, and 29.9% for fracture cases. The trend toward higher mortality in the fracture group compared with the nonfracture group was sustained throughout the 5-year postoperative period, with a fracture diagnosis being associated with a hazard ratio of 1.63 for mortality (p < 0.001). Medical comorbidities were associated with an increased risk of mortality, with liver disease bearing the highest hazard ratio (3.07; p < 0.001), followed by chronic kidney disease (2.59; p < 0.001), chronic obstructive pulmonary disease (1.92; p < 0.001), and congestive heart failure (1.90; p < 0.001). Conclusions: The mean 5-year mortality following shoulder arthroplasty was 16.6%. Patients with a fracture diagnosis had a significantly higher 5-year mortality risk (29.9%) than those with a nonfracture diagnosis (14.9%). Medical comorbidities had the greatest impact on mortality risk, with chronic liver and kidney disease being the most noteworthy. This novel longer-term data can help with patient education and risk stratification prior to undergoing shoulder replacement. Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Assessing a Digital Scorecard on Global Immunization Progress: Stakeholder Views and Implications for Enhancing Performance and Accountability.

Global health agencies and regional and national stakeholders collaborated to develop the Immunization Agenda 2030 Scorecard, a digital data visualization platform displaying global, regional, and country-level immunization progress. The scorecard serves to focus attention and enable strategic actions around the measures visualized. To assess the scorecard's usability, appropriateness, and context for use, we interviewed 15 immunization officers working across five global regions. To further understand the implementation context, we also reviewed the characteristics of 15 public platforms visualizing population health data. We integrated thematic findings across both methods. Many platforms highlight service gaps and enable comparisons between geographies to foster political pressure for service improvements. We observed heterogeneity regarding the platforms' focus areas and participants' leading concerns, which were management capacity and resourcing. Furthermore, one-third of platforms were out of date. Results yielded recommendations for the scorecard, which participants felt was well suited to focus the attention of decision makers on key immunization data. A simpler design coupled with implementation strategies that more actively engage policymakers would better align the scorecard with other public platforms engaging intended users. For population health platforms to serve as effective accountability mechanisms, studying implementation determinants, including usability testing, is vital to meet stakeholder needs.

Effectiveness of a nutrition education and counselling training package on antenatal care: a cluster randomized controlled trial in Addis Ababa.

The World Health Organization (WHO) recommends the need for a strong nutrition training package for practitioners, including antenatal care (ANC) providers. Without such a training package, ANC visits remain a missed opportunity to address nutritional problems among pregnant women. This study evaluated the effectiveness of an in-service nutrition education and counselling package on the providers' counselling skills during ANC visits. A cluster randomized controlled trial was conducted in Addis Ababa, Ethiopia. All health-care providers working in ANC units across 20 health centres participated in this study. Health centres were allocated to intervention and control arms using a matched-pair randomization technique. An in-service nutrition education and counselling package, including training for ANC providers, supportive supervision and provision of modules, pamphlets and job aids, was provided for health centres assigned to the intervention arm. Observation checklists were used to assess the counselling skills of health-care providers. We used mixed-effect linear regression to evaluate the impact of the intervention. Significantly more health-care providers in the intervention arm informed pregnant women about the need to have one additional meal (Difference in proportion [DP] 49.17% vs -0.84%; DID 50.0%), about minimum required dietary diversity (DP 72.5% vs -2.5%; DID 75.0%) and about gestational weight gain (DP 68.33% vs -8.33%; DID 76.6%). Furthermore, providers improved in identifying key difficulties that pregnant women face (DP 28.34% vs -2.5%; DID 30.8%), and in recommending simple achievable actions on nutrition during pregnancy (DP 20.8% vs -10.9%; DID 31.6%). The intervention did not have statistically significant effects on how providers informed women about early initiation of breastfeeding (DP 6.67% vs 9.17%; DID -2.5%). The comprehensive in-service nutrition education and counselling package improved how ANC providers engaged with pregnant women and delivered nutrition messages during ANC consultations. This trial was registered in the Pan African Clinical Trial (PACTR registry, PACTR20170900 2477373; Date issued 21 September 2017).

Assessment of Bypass of the Nearest Primary Health Care Facility Among Women in Ghana.

Importance: Recent reports have highlighted that expanding access to health care is ineffective at meeting the goal of universal health coverage if the care offered does not meet a minimum level of quality. Health care facilities nearest to patient's homes that are perceived to offer inadequate or inappropriate care are frequently bypassed in favor of more distant private or tertiary-level hospital facilities that are perceived to offer higher-quality care. Objective: To estimate the frequency with which women in Ghana bypass the nearest primary health care facility and describe patient experiences, costs, and other factors associated with this choice. Design, Setting, and Participants: This nationally representative survey study was conducted in 2017 and included 4203 households to identify women in Ghana aged 15 to 49 years (ie, reproductive age) who sought primary care within the last 6 months. Women who sought care within the past 6 months were included in the study. Data were analyzed from 2018 to 2019. Exposures: Bypass was defined as a woman's report that she sought care at a health facility other than the nearest facility. Main Outcomes and Measures: Sociodemographic characteristics, reasons why women sought care, reasons why women bypassed their nearest facility, ratings for responsiveness of care, patient experience, and out-of-pocket costs. All numbers and percentages were survey-weighted to account for survey design. Results: A total of 4289 women met initial eligibility criteria, and 4207 women (98.1%) completed the interview. A total of 1993 women reported having sough health care in the past 6 months, and after excluding those who were ineligible and survey weighting, the total sample included 1946 women. Among these, 629 women (32.3%) reported bypassing their nearest facilities for primary care. Women who bypassed their nearest facilities, compared with women who did not, were more likely to visit a private facility (152 women [24.5%] vs 202 women [15.6%]) and borrow money to pay for their care (151 women [24.0%] vs 234 women [17.8%]). After adjusting for covariates, women who bypassed reported paying a mean of 107.2 (95% CI, 79.1-135.4) Ghanaian Cedis (US $18.50 [95% CI, $13.65-$23.36]) for their care, compared with a mean of 58.6 (95% CI, 28.1-89.2) Ghanaian Cedis (US $10.11 [95% CI, $4.85-15.35]) for women who did not bypass (P = .006). Women who bypassed cited clinician competence (136 women [34.3%]) and availability of supplies (93 women [23.4%]) as the most important factors in choosing a health facility. Conclusions and Relevance: The findings of this survey study suggest that bypassing the nearest health care facility was common among women in Ghana and that available services at lower levels of primary care are not meeting the needs of a large proportion of women. Among the benefits women perceived from bypassing were clinician competence and availability of supplies. These data provide insights to policy makers regarding potential gaps in service delivery and may help to guide primary health care improvement efforts.

Towards patient-centred care in Ghana: health system responsiveness, self-rated health and experiential quality in a nationally representative survey.

INTRODUCTION: Person-centredness, including patient experience and satisfaction, is a foundational element of quality of care. Evidence indicates that poor experience and satisfaction are drivers of underutilisation of healthcare services, which in turn is a major driver of avoidable mortality. However, there is limited information about patient experience of care at the population level, particularly in low-income and middle-income countries. METHODS: A multistage cluster sample design was used to obtain a nationally representative sample of women of reproductive age in Ghana. Women were interviewed in their homes regarding their demographic characteristics, recent care-seeking characteristics, satisfaction with care, patient-reported outcomes, and-using questions from the World Health Survey Responsiveness Module-the seven domains of responsiveness of outpatient care to assess patient experience. Using Poisson regression with log link, we assessed the relationship between responsiveness and satisfaction, as well as patient-reported outcomes. RESULTS: Women who reported more responsive care were more likely to be more educated, have good access to care and have received care at a private facility. Controlling for respondent and visit characteristics, women who reported the highest responsiveness levels were significantly more likely to report that care was excellent at meeting their needs (prevalence ratio (PR)=13.0), excellent quality of care (PR=20.8), being very likely to recommend the facility to others (PR=1.4), excellent self-rated health (PR=4.0) and excellent self-rated mental health (PR=5.1) as women who reported the lowest responsiveness levels. DISCUSSION: These findings support the emerging global consensus that responsiveness and patient experience of care are not luxuries but essential components of high-performing health systems, and highlight the need for more nuanced and systematic measurement of these areas to inform priority setting and improvement efforts.

The quality of malaria care in 25 low-income and middle-income countries.

Introduction: Even with accessible and effective diagnostic tests and treatment, malaria remains a leading cause of death among children under five. Malaria case management requires prompt diagnosis and correct treatment but the degree to which this happens in low-income and middle-income countries (LMICs) remains largely unknown. Methods: Cross-sectional study of 132 566 children under five, of which 25% reported fever in the last 2 weeks from 2006 to 2017 using the latest Malaria Indicators Survey data across 25 malaria-endemic countries. We calculated the per cent of patient encounters of febrile children under five that received poor quality of care (no blood testing, less or more than two antimalarial drugs and delayed treatment provision) across each treatment cascade and region. Results: Across the study countries, 48 316 (58%) of patient encounters of febrile children under five received poor quality of care for suspected malaria. When comparing by treatment cascade, 62% of cases were not blood tested despite reporting fever in the last 2 weeks, 82% did not receive any antimalarial drug, 17% received one drug and 72% received treatment more than 24 hours after onset of fever. Of the four countries where we had more detailed malaria testing data, we found that 35% of patients were incorrectly managed (26% were undertreated, while 9% were overtreated). Poor malaria care quality varies widely within and between countries. Conclusion: Quality of malaria care remains poor and varies widely in endemic LMICs. Treatments are often prescribed regardless of malaria test results, suggesting that presumptive diagnosis is still commonly practiced among cases of suspected malaria, rather than the WHO recommendation of 'test and treat'. To reach the 2030 global malaria goal of reducing mortality rates by at least 90%, focussing on improving the quality of malaria care is needed.

Preliminary validation of the PRImary care facility Management Evaluation tool (PRIME-Tool), a national facility management survey implemented in Ghana.

BACKGROUND: The management quality of healthcare facilities has consistently been linked to facility performance, but available tools to measure management are costly to implement, often hospital-specific, not designed for low- and middle-income countries (LMICs), nor widely deployed. We addressed this gap by developing the PRImary care facility Management Evaluation Tool (PRIME-Tool), a primary health care facility management survey for integration into routine national surveys in LMICs. We present an analysis of the tool's psychometric properties and suggest directions for future improvements. METHODS: The PRIME-Tool assesses performance in five core management domains: Target setting, Operations, Human resources, Monitoring, and Community engagement. We evaluated two versions of the PRIME-Tool. We surveyed 142 primary health care (PHC) facilities in Ghana in 2016 using the first version (27 items) and 148 facilities in 2017 using the second version (34 items). We calculated floor and ceiling effects for each item and conducted exploratory factor analyses to examine the factor structure for each year and version of the tool. We developed a revised management framework and PRIME-tool as informed by these exploratory results, further review of management theory literature, and co-author consensus. RESULTS: The majority (17 items in 2016, 23 items in 2017) of PRIME-Tool items exhibited ceiling effects, but only three (2 items in 2016, 3 items in 2017) showed floor effects. Solutions suggested by factor analyses did not fully fit our initial hypothesized management domains. We found five groupings of items that consistently loaded together across each analysis and named these revised domains as Supportive supervision and target setting, Active monitoring and review, Community engagement, Client feedback for improvement, and Operations and financing. CONCLUSION: The revised version of the PRIME-Tool captures a range of important and actionable information on the management of PHC facilities in LMIC contexts. We recommend its use by other investigators and practitioners to further validate its utility in PHC settings. We will continue to refine the PRIME-Tool to arrive at a parsimonious tool for tracking PHC facility management quality. Better understanding the functional components of PHC facility management can help policymakers and frontline managers drive evidence-based improvements in performance.

Assessing the field of health policy and systems research using symposium abstract submissions and machine learning techniques.

The field of health policy and systems research (HPSR) has grown rapidly in the past decade. Examining recently aggregated data from the Global Symposia on Health Systems Research, a key global fora for HPSR convened by the largest international society-Health Systems Global (HSG)-provides opportunities to enhance existing research on HPSR capacity using novel analytical techniques. This addresses the demand not only to map the field but also to examine potential predictors of acceptance to, and participation at, these global conferences to inform future work and strategies in promoting HPSR. We examined data from the abstracts submitted for two Global Symposia on Health Systems Research in 2016 and 2018 by type of institution, countries, regional groupings and gender. After mapping hotspot areas for HPSR production, we then examined how the corresponding author's characteristics were associated with being accepted to present at the Global Symposia. Our findings showed that submissions for the Global Symposia increased by 12% from 2016 to 2018. Submissions increased across all participant groups, in particular, the for-profit organizations and research/consultancy firms showing the highest increases, at 58% for both. We also found reduced submissions from high-income countries, whereas submissions from low- and middle-income countries (LMICs), Sub-Saharan Africa and Latin America, increased substantially revealing the inclusivity values of Symposium organizers. Submissions increased to a larger extent among women than men. Being a woman, coming from a high-income country and having multiple abstracts submitted were found to be significant predictors for an abstract to be accepted and presented in the Symposia. Findings provide critical baseline information on the extent of interest and engagement in a global forum of various institutions and researchers in HPSR that can be useful for setting future directions of HSG and other similar organizations to support the advancement of HPSR worldwide.

Facility management associated with improved primary health care outcomes in Ghana.

BACKGROUND: Strong primary health care (PHC) is essential for achieving universal health coverage, but in many low- and middle-income countries (LMICs) PHC services are of poor quality. Facility management is hypothesized to be critical for improving PHC performance, but evidence about management performance and its associations with PHC in LMICs remains limited. METHODS: We quantified management performance of PHC facilities in Ghana and assessed the experiences of women who sought care at sampled facilities. Using multi-level models, we examined associations of facility management with five process outcomes and eight experiential outcomes. FINDINGS: On a scale of 0 to 1, the average overall management score in Ghana was 0·76 (IQR = 0·68-0·85). Facility management was significantly associated with one process outcome and three experiential outcomes. Controlling for facility characteristics, facilities with management scores at the 90th percentile (management score = 0·90) had 22% more essential drugs compared to facilities with management scores at the 10th percentile (0·60) (p = 0·002). Positive statistically non-significant associations were also seen with three additional process outcomes-integration of family planning services (p = 0·054), family planning types provided (p = 0·067), and essential equipment availability (p = 0·104). Compared to women who sought care at facilities with management scores at the 10th percentile, women who sought care at facilities at the 90th percentile reported 8% higher ratings of trust in providers (p = 0·028), 15% higher ratings of ease of following provider's advice (p = 0·030), and 16% higher quality rating (p = 0·020). However, women who sought care in the 90th percentile facilities rated their waiting times as worse (22% lower, p = 0·039). INTERPRETATION: Higher management scores were associated with higher scores for some process and experiential outcomes. Large variations in management performance indicate the need to strengthen management practices to help realize the full potential of PHC in improving health outcomes.

Assessment of quality of primary care with facility surveys: a descriptive analysis in ten low-income and middle-income countries.

BACKGROUND: Primary care has the potential to address a large proportion of people's health needs, promote equity, and contain costs, but only if it provides high-quality health services that people want to use. 40 years after the Declaration of Alma-Ata, little is known about the quality of primary care in low-income and middle-income countries. We assessed whether existing facility surveys capture relevant aspects of primary care performance and summarised the quality of primary care in ten low-income and middle-income countries. METHODS: We used Service Provision Assessment surveys, the most comprehensive nationally representative surveys of health systems, to select indicators corresponding to three of the process quality domains (competent systems, evidence-based care, and user experience) identified by the Lancet Global Health Commission on High Quality Health Systems in the Sustainable Development Goals Era. We calculated composite and domain quality scores for first-level primary care facilities across and within ten countries with available facility assessment data (Ethiopia, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Tanzania, and Uganda). FINDINGS: Data were available for 7049 facilities and 63 869 care visits. There were gaps in measurement of important outcomes such as user experience, health outcomes, and confidence, and processes such as timely action, choice of provider, affordability, ease of use, dignity, privacy, non-discrimination, autonomy, and confidentiality. No information about care competence was available outside maternal and child health. Overall, scores for primary care quality were low (mean 0·41 on a scale of 0 to 1). At a domain level, scores were lowest for user experience, followed by evidence-based care, and then competent systems. At the subdomain level, scores for patient focus, prevention and detection, technical quality of sick-child care, and population-health management were lower than those for other subdomains. INTERPRETATION: Facility surveys do not capture key elements of primary care quality. The available measures suggest major gaps in primary care quality. If not addressed, these gaps will limit the contribution of primary care to reaching the ambitious Sustainable Development Goals. FUNDING: Bill & Melinda Gates Foundation.