Association of Measured Quality and Future Financial Performance Among Hospitals Performing Cardiac Surgery.

GOAL: For decades, hospitals performing cardiac surgery have carried the cost of implementing quality improvement activities and reporting quality outcomes. However, the financial return of such investments is unclear, which weakens the incentive for hospitals to invest in quality improvement activities. This study explored the relationship between a hospital's measured quality and its financial performance. METHODS: Using data from the American Hospital Association and Hospital Compare from 2014 to 2018, we performed an observational study of hospitals performing cardiac surgery. We used mixed-effects regression models with fixed-year effects and random intercepts to explore associations between measured quality and hospital financial performance. Our dependent variables were margins (profit divided by revenue) and financial distress; our independent variables included Patient Safety Indicator 90 (PSI-90) and hospital characteristics. PRINCIPAL FINDINGS: Our sample included 4,927 hospital-years from 1,209 unique hospitals. Hospitals in the worst-performing PSI-90 score quartile experienced a lower operating margin (-1.26%, 95% CI [-2.10 to -0.41], p = .004), a lower total margin (-0.92%, 95% CI [-1.66 to -0.17], p = .016), and an increased odds of financial distress in the next year (OR: 2.12, 95% CI [1.36-3.30], p = .001) when compared with the best-performing hospitals. PRACTICAL APPLICATIONS: Our exploration into financial distress provides managers with a better understanding of the relationship between a hospital's measured quality and its financial position. In reflecting on our findings, hospital leaders may consider viewing patient safety as a modifiable factor that can improve their organization's overall financial health. Our findings suggest that excellent safety performance may be both financially and clinically beneficial to hospitals.

Association of measured quality with financial health among U.S. hospitals.

BACKGROUND: High-quality care is a clear objective for hospital leaders, but hospitals must balance investing in quality with financial stability. Poor hospital financial health can precipitate closure, limiting patients' access to care. Whether hospital quality is associated with financial health remains poorly understood. The objective of this study was to compare financial performance at high-quality and low-quality hospitals. METHODS: We performed a retrospective observational cohort study of U.S. hospitals using the American Hospital Association and Hospital Compare datasets for years 2013 to 2018. We used multilevel mixed-effects linear and logistic regression models with fixed year effects and random intercepts for hospitals to identify associations between hospitals' measured quality outcomes-30-day hospital-wide readmission rate and the patient safety indicator-90 (PSI-90)-and their financial margins and risk of financial distress in the same year and the subsequent year. Our sample included 20,919 observations from 4,331 unique hospitals. RESULTS: In 2018, the median 30-day readmission rate was 15.2 (interquartile range [IQR] 14.8-15.6), the median PSI-90 score was 0.96 (IQR 0.89-1.07), the median operating margin was -1.8 (IQR -9.7-5.9), and 750 (22.7%) hospitals experienced financial distress. Hospitals in the best quintile of readmission rates experienced higher operating margins (+0.95%, 95% CI [0.51-1.39], p < .001) and lower odds of distress (odds ratio [OR] 0.56, 95% CI [0.45-0.70], p < .001) in the same year as compared to hospitals in the worst quintile. Hospitals in the best quintile of PSI-90 had higher operating margins (+0.62%, 95% CI [0.17-1.08], p = .007) and lower odds of financial distress (OR 0.70, 95% CI [0.55-0.89], p = .003) as compared to hospitals in the worst quintile. The results were qualitatively similar for the same-year and lag-year analyses. CONCLUSION: Hospitals that deliver high-quality outcomes may experience superior financial performance compared to hospitals with poor-quality outcomes.

Predictors of Financial Distress Among Private U.S. Hospitals.

BACKGROUND: Hospitals are closing after poor financial performance leaving many patients without access to medical care. Identifying the factors associated with financial distress offers hospitals avenues for potential intervention to avoid bankruptcy and closure. MATERIALS AND METHODS: We performed a retrospective analysis of private U.S. hospitals' financial information from 2011 to 2018. A mixed effects logistic regression model was used with the primary outcome of hospital financial distress (based on the Altman Z-score). RESULTS: Our sample included 2,720 private hospitals contributing a total of 20,022 hospital-year observations. The proportion of hospitals experiencing financial distress each year ranged from 22.0% to 24.3%. For-profit status was associated with an increased odds of financial distress (adjusted odds ratio (aOR), 4.36 [95% Confidence Interval (CI) 3.05 - 6.24]) as compared to non-profit status. A higher share of hospital revenue from Medicaid was also associated with increased odds of financial distress (aOR for the highest quartile, 2.28 [95% CI 1.73 - 3.00]) as compared to the lowest quartile. A higher case mix index (aOR for the highest quartile, 0.32 [95% CI 0.23 - 0.46]) and an increased share of hospital revenue from outpatient services (aOR for the highest quartile, 0.34 [95% CI 0.23 - 0.49]) were associated with decreased odds of financial distress as compared to their respective lowest quartiles. CONCLUSIONS: A significant proportion of private U.S. hospitals experience financial distress. Increasing case complexity and the proportion of patient revenue from outpatient services may represent avenues to avoid financial distress.

The impact of data feedback on continuous quality improvement projects in Rwanda: A mixed methods analysis.

BACKGROUND: Injuries are a leading cause of death and disability globally. Over 90% of injury-related mortality happens in low- and middle- income countries (LMICs). Rwanda's pre-hospital emergency system - Service d'Aide Medicale Urgente (SAMU) - and their partners created an electronic pre-hospital registry and Continuous Quality Improvement (CQI) project in 2014. The CQI showed progress in quality of care, sparking interest in factors enabling the project's success. Healthcare workers (HCW) are critical pieces of this success, yet we found a void of information linking pre-hospital HCW motivation to CQI programs like SAMU's. METHODS: Our mixed methods approach included a 40-question survey using questions regarding HCW motivation. We scored the surveys to compare SAMU staff motivation with other HCWs in LMICs, and used a Likert scale to elicit agreement or disagreement. A semi-structured interview based on employee motivation theory qualitatively explored SAMU staff motivation using constructivist grounded theory. To find interview themes, two researchers independently performed line-by-line analysis. RESULTS: SAMU staff received 5-21% higher motivation scores relative to other cohorts of HCWs in LMICs. Questions showing disagreement (five) asked about reprimand, damaged social standing, and ease of using the CQI technology. Three questions did not show consensus. Questions showing agreement (23) and strong agreement (nine) asked about organizational commitment, impact, and research improving patient care. Major themes were: improvements in quality of care, changes in job expectations, views on research, and positive experiences with data feedback. CONCLUSIONS: The CQI project provides constant feedback vital to building and sustaining successful health systems. It encourages communication, collaboration, and personal investment, which increase organizational commitment. Continuous feedback provides opportunities for personal and professional development by uncovering gaps in knowledge, patient care, and technological understanding. Complete, personalized data input encouraged by the CQI improves resource allocation, building robust health systems that improve HCW agency and motivation.

BRAFV600E Mutation is Associated with an Increased Risk of Papillary Thyroid Cancer Recurrence.

BACKGROUND: Papillary thyroid carcinoma is the most common endocrine malignancy and one of the most common cancers worldwide. However, the optimal timing and frequency of surveillance to assess for recurrence remain undetermined. As the incidence of thyroid cancer continues to rise worldwide, identifying risk factors for recurrence and investigating intervals and durations of surveillance are paramount to adapt treatment and follow-up plans to high-risk individuals and to reduce interventions for low-risk patients. METHODS: Our dataset included an unselected cohort of papillary thyroid carcinoma (PTC) patients who underwent a total thyroidectomy (or unilateral then completion thyroidectomy) at a single institution from 2000 to 2007. BRAF genotyping was performed on available specimens by a validated PCR-based assay. Pathologic structural recurrence was the primary outcome. We performed univariate and multivariable analyses to identify predictors of cancer recurrence. RESULTS: In total, 599 patients underwent complete resection of the thyroid gland for PTC. The cohort was young (mean age 45.0 years), predominately female (n = 462, 76.9%), and median follow-up was 10.3 years (IQR 5.4-12.2). Recurrence occurred more commonly in the BRAFV600E group (18.6 vs. 9.9%, p = 0.02). BRAF independently predicted PTC recurrence (HR 2.81, p = 0.006). CONCLUSIONS: BRAF mutation is an independent predictor of papillary thyroid carcinoma long-term recurrence. Understanding molecular characteristics of individual thyroid cancers may help risk-stratify patients and direct them toward more appropriate initial care and long-term surveillance strategies.

Increased hospice enrollment and decreased neurosurgical interventions without changes in mortality for older Medicare patients with moderate to severe traumatic brain injury.

BACKGROUND: Hospice improves quality and value of end of life care (EOLC), and enrollment has increased for older patients dying from chronic medical conditions. It remains unknown if the same is true for older patients who die after moderate to severe traumatic brain injury (msTBI). METHODS: Subjects included Medicare beneficiaries (≥65 years) who were hospitalized for msTBI from 2005 to 2011. Outcomes included intensity and quality of EOLC for decedents within 30 days of admission, and 30-day mortality for the entire cohort. Logistic regression was used to analyze the association between year of admission, mortality, and EOLC. RESULTS: Among 50,342 older adults, 30-day mortality was 61.2%. Mortality was unchanged over the study period (aOR 0.93 [0.87-1.00], p = 0.06). Additionally, 30-day non-survivors had greater odds of hospice enrollment, lower odds of undergoing neurosurgery, but greater odds of gastrostomy. CONCLUSION: Between 2005 and 2011, hospice enrollment increased, but there was no change in 30-day mortality.

Improving prehospital trauma care in Rwanda through continuous quality improvement: an interrupted time series analysis.

INTRODUCTION: Injury is a major cause of premature death and disability in East Africa, and high-quality pre-hospital care is essential for optimal trauma outcomes. The Rwandan pre-hospital emergency care service (SAMU) uses an electronic database to evaluate and optimize pre-hospital care through a continuous quality improvement programme (CQIP), beginning March 2014. MATERIALS AND METHODS: The SAMU database was used to assess pre-hospital quality metrics including supplementary oxygen for hypoxia (O2), intravenous fluids for hypotension (IVF), cervical collar placement for head injuries (c-collar), and either splinting (splint) or administration of pain medications (pain) for long bone fractures. Targets of >90% were set for each metric and daily team meetings and monthly feedback sessions were implemented to address opportunities for improvement. These five pre-hospital quality metrics were assessed monthly before and after implementation of the CQIP. Met and unmet needs for O2, IVF, and c-collar were combined into a summative monthly SAMU Trauma Quality Scores (STQ score). An interrupted time series linear regression model compared the STQ score during 14 months before the CQIP implementation to the first 14 months after. RESULTS: During the 29-month study period 3,822 patients met study criteria. 1,028 patients needed one or more of the five studied interventions during the study period. All five endpoints had a significant increase between the pre-CQI and post-CQI periods (p<0.05 for all), and all five achieved a post-CQI average of at least 90% completion. The monthly composite STQ scores ranged from 76.5 to 97.9 pre-CQI, but tightened to 86.1-98.7 during the post-CQI period. Interrupted time series analysis of the STQ score showed that CQI programme led to both an immediate improvement of +6.1% (p=0.017) and sustained monthly improvements in care delivery-improving at a rate of 0.7% per month (p=0.028). CONCLUSION: The SAMU experience demonstrates the utility of a responsive, data-driven quality improvement programme to yield significant immediate and sustained improvements in pre-hospital care for trauma in Rwanda. This programme may be used as an example for additional efforts engaging frontline staff with real-time data feedback in order to rapidly translate data collection efforts into improved care for the injured in a resource-limited setting.

Rwanda's Model Prehospital Emergency Care Service: A Two-year Review of Patient Demographics and Injury Patterns in Kigali.

Introduction Injury is responsible for nearly five million annual deaths worldwide, and nearly 90% of these deaths occur in low- and middle-income countries (LMICs). Reliable clinical data detailing the epidemiology of injury are necessary for improved care delivery, but they are lacking in these regions. METHODS: A retrospective review of the Service d'Aide Medicale Urgente (SAMU; Kigali, Rwanda) prehospital database for patients with traumatic injury-related conditions from December 2012 through November 2014 was conducted. Chi-squared analysis, binomial probability test, and student's t-test were used, where appropriate, to describe patient demographics, injury patterns, and temporal and geographic trends of injuries. RESULTS: In the two-year period, 3,357 patients were managed by SAMU for traumatic injuries. Males were 76.5% of the study population, and the median age of all injured patients was 29 years (IQR=23-35). The most common causes of injury were road traffic crashes (RTCs; 73.4%), stabbings/cuts (11.1%), and falls (9.4%), and the most common anatomic regions injured were the head (55.7%), lower (45.0%) extremities, and upper (27.0%) extremities. Almost one-fourth of injured patients suffered a fracture (24.9%). The most common mechanism of injury for adults was motorcycle-related RTCs (61.4%), whereas children were more commonly injured as pedestrians (59.8%). Centrally located sectors within Kigali represented common areas for RTCs. CONCLUSIONS: These data support the call for focused injury prevention strategies, some of which already are underway in Rwanda. Further research on care processes and clinical outcomes for injured patients may help identify avenues for improved care delivery. Enumah S , Scott JW , Maine R , Uwitonze E , Nyinawankusi JD , Riviello R , Byiringiro JC , Kabagema I , Jayaraman S . Rwanda's model prehospital emergency care service: a two-year review of patient demographics and injury patterns in Kigali. Prehosp Disaster Med. 2016;31(6):614-620.

Epidemiology of injuries and outcomes among trauma patients receiving prehospital care at a tertiary teaching hospital in Kigali, Rwanda.

INTRODUCTION: Injury accounts for 9.6% of the global mortality burden, disproportionately affecting those living in low- and middle-income countries. In an effort to improve trauma care in Rwanda, the Ministry of Health developed a prehospital service, Service d'Aide Médicale Urgente (SAMU), and established an emergency medicine training program. However, little is known about patients receiving prehospital and emergency trauma care or their outcomes. The objective was to develop a linked prehospital-hospital database to evaluate patient characteristics, mechanisms of injury, prehospital and hospital resource use, and outcomes among injured patients receiving acute care in Kigali, Rwanda. METHODS: A retrospective cohort study was conducted at University Teaching Hospital - Kigali, the primary trauma centre in Rwanda. Data was included on all injured patients transported by SAMU from December 2012 to February 2015. SAMU's prehospital database was linked to hospital records and data were collected using standardised protocols by trained abstractors. Demographic information, injury characteristics, acute care, hospital course and outcomes were included. RESULTS: 1668 patients were transported for traumatic injury during the study period. The majority (77.7%) of patients were male. The median age was 30 years. Motor vehicle collisions accounted for 75.0% of encounters of which 61.4% involved motorcycles. 48.8% of patients sustained injuries in two or more anatomical regions. 40.1% of patients were admitted to the hospital and 78.1% required surgery. The overall mortality rate was 5.5% with nearly half of hospital deaths occurring in the emergency centre. CONCLUSION: A linked prehospital and hospital database provided critical epidemiological information describing trauma patients in a low-resource setting. Blunt trauma from motor vehicle collisions involving young males constituted the majority of traumatic injury. Among this cohort, hospital resource utilisation was high as was mortality. This data can help guide the implementation of interventions to improve trauma care in the Rwandan setting.

INTRODUCTION: Les blessures comptent pour 9,6% de la mortalité dans le monde, affectant de manière disproportionnée les personnes vivant dans les pays à revenu faible et intermédiaire. Dans un effort pour améliorer la prise en charge des traumatismes au Rwanda, le ministère de la Santé a développé un service préhospitalier, le Service d'Aide Médicale Urgente (SAMU), et mis en place un programme de formation à la médecine d'urgence. Cependant, peu d'informations sont disponibles sur les patients bénéficiant d'une prise en charge préhospitalière et de soins d'urgence ou sur les résultats obtenus. L'objectif était de développer une base de données préhospitalière et hospitalière couplée afin d'évaluer les caractéristiques des patients, les mécanismes des blessures, l'utilisation des ressources préhospitalières et hospitalières et les résultats pour les patients blessés recevant des soins intensifs à Kigali, au Rwanda. MÉTHODES: Une étude de cohorte rétrospective a été menée à l'Hôpital universitaire de Kigali, principal centre de prise en charge des traumatismes au Rwanda. Des données ont été incluses sur tous les patients blessés transportés par le SAMU entre décembre 2012 et février 2015. La base de données préhospitalière a été couplée aux dossiers hospitaliers et les données ont été recueillies au moyen de protocoles standardisés par des archivistes formés. Les données démographiques, caractéristiques des blessures, soins intensifs, parcours hospitalier et résultats ont été inclus. RÉSULTATS: 1 668 patients ont été transportés pour des lésions traumatiques au cours de la période à l'étude. La majorité des patients étaient des hommes, à 77,7%. L'âge moyen était de 30 ans. Les collisions de véhicules motorisés étaient responsables de 75% des cas, 61,4% de ceux-ci impliquant des motos. 48,8% des patients souffraient de blessures au niveau de deux régions anatomiques ou plus. 40,1% des patients ont été hospitalisés, et 78,1% d'entre eux ont dû être opérés. Le taux de mortalité général était de 5,5%, près de la moitié des décès hospitaliers survenant au service des urgences. CONCLUSION: Une base de données préhospitalière et hospitalière couplée a fourni des informations épidémiologiques essentielles décrivant les patients en traumatologie dans un environnement caractérisé par de faibles ressources. Les traumatismes contondants liés à des collisions de véhicules motorisés impliquant des hommes jeunes constituaient la majorité des lésions traumatiques. Au sein de cette cohorte, le recours aux ressources hospitalières était élevé, ainsi que la mortalité. Ces données peuvent aider à guider la mise en œuvre d'interventions visant à améliorer la prise en charge des traumatismes dans le contexte rwandais.

Perceptions of a short-term medical programme in the Dominican Republic: voices of care recipients.

Participation in short-term global health programmes for low-income countries is increasing amongst practising clinicians and trainees from high-income countries. However, few studies explicitly examine the perceptions of programme recipients. In July 2012, we conducted semi-structured interviews with a purposive sample of 47 adults receiving care from Medical Ministry International, an international non-governmental organisation providing short-term medical programmes in the Dominican Republic. Thirty interviews met criteria for inclusion. Transcripts were independently coded using a descriptive approach. After thematic saturation, 20 interviews were included in the final analysis. Nine major themes were identified: misidentification, access, identified needs, social determinants, faith, language, student involvement, areas for improvement and respect. Recipients were reluctant to discuss programme improvement directly and frequently misidentified the researcher as a caregiver, suggesting a need to separate clearly programme evaluation from care provision. They viewed student involvement positively in a setting where supervision is emphasised, suggesting a potential to develop measures of supervision's adequacy. Finally, recipients' perceptions of respect as an important but intangible programme element encourage broadening the ethical discourse around short-term programmes beyond only tangible goods and services. Our findings support the usefulness of qualitative methods for short-term programme evaluation and generate important hypotheses for future research.