Survival after acute myocardial infarction (SAMI) study: the design and implementation of a positive deviance study

How do hospitals that serve low socioeconomic status patients achieve low readmission rates? A qualitative study of safety-net hospitals

BACKGROUND

Hospital readmissions are an important quality of care indicator and are tied to hospitals' financial reimbursements. Safety-net hospitals, which serve a high proportion of patients of low socioeconomic status (SES), face unique challenges to reduce or maintain low readmission rates.

OBJECTIVE

We sought to understand strategies high-performing safety-net hospitals used to achieve low 30-day risk-standardised readmission rates (RSRRs) using qualitative methodology.

METHODS

Safety-net hospital status was defined by public ownership or a Medicaid population that is greater than 1 SD higher than the state proportion of Medicaid patients and the hospital payer source is composed of at least 15% Medicaid patients. Safety-net hospitals were selected based on their ranking among the lowest 20% of heart failure RSRRs, the best-performing quintile. We purposefully sampled hospitals to ensure variation in characteristics and conducted on-site interviews with key hospital staff. A multidisciplinary team analysed the data using thematic analysis.

RESULTS

We performed site visits at 9 safety-net hospitals (RSRR range: 18.1%-21.6%) in 9 states and conducted in-depth interviews with 108 hospital staff. Several thematic attributes and organisational strategies were evident in high-performing safety-net hospitals: (1) strong hospital support for quality improvement at all levels; (2) tailoring resources to meet patient needs; (3) facilitating collaboration and communication among and between providers and patients; (4) creating strong relationships with postacute care facilities and communities and (5) proactive approach to healthcare policy changes and other external factors.

CONCLUSIONS

The provision of high-quality and equitable care in hospitals serving a high proportion of low-SES populations is influenced by several modifiable factors. These findings may serve to inform lower-performing safety-net hospitals on how to optimise patient care and improve readmission outcomes.

The use of positive deviance approach to improve health service delivery and quality of care: a scoping review

BACKGROUND

Quality has been a persistent challenge in the healthcare system, particularly in resource-limited settings. As a result, the utilization of innovative approaches is required to help countries in their efforts to enhance the quality of healthcare. The positive deviance (PD) approach is an innovative approach that can be utilized to improve healthcare quality. The approach assumes that solutions to problems are already available within the community and identifying and sharing those solutions can help others to resolve existing issues. Therefore, this scoping review aimed to synthesize the evidence regarding the use of the PD approach in healthcare system service delivery and quality improvement programs.

METHODS

Articles were retrieved from six international databases. The last date for article search was June 02, 2023, and no date restriction was applied. All articles were assessed for inclusion through a title and/or abstract read. Then, articles that passed the title and abstract review were screened by reading their full texts. In case of duplication, only the full-text published articles were retained. A descriptive mapping and evidence synthesis was done to present data with the guide of the Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for Scoping Reviews checklist and the results are presented in text, table, and figure formats.

RESULTS

A total of 125 articles were included in this scoping review. More than half, 66 (52.8%), of the articles were from the United States, 11(8.8%) from multinational studies, 10 (8%) from Canada, 8 (6.4%) from the United Kingdom and the remaining, 30 (24%) are from other nations around the world. The scoping review indicates that several types of study designs can be applied in utilizing the PD approach for healthcare service and quality improvement programs. However, although validated performance measures are utilized to identify positive deviants (PDs) in many of the articles, some of the selection criteria utilized by authors lack clarity and are subject to potential bias. In addition, several limitations have been mentioned in the articles including issues in operationalizing PD, focus on leaders and senior managers and limited staff involvement, bias, lack of comparison, limited setting, and issues in generalizability/transferability of results from prospects perspective. Nevertheless, the limitations identified are potentially manageable and can be contextually resolved depending on the nature of the study. Furthermore, PD has been successfully employed in healthcare service and quality improvement programs including in increasing surgical care quality, hand hygiene practice, and reducing healthcare-associated infections.

CONCLUSION

The scoping review findings have indicated that healthcare systems have been able to enhance quality, reduce errors, and improve patient outcomes by identifying lessons from those who exhibit exceptional practices and implementing successful strategies in their practice. All the outcomes of PD-based research, however, are dependent on the first step of identifying true PDs. Hence, it is critical that PDs are identified using objective and validated measures of performance as failure to identify true PDs can subsequently lead to failure in identifying best practices for learning and dissemination to other contextually similar settings.

Characteristics of High Versus Low-Performing Hospitals for Very Preterm Infant Morbidity and Mortality

Objective

To ascertain organizational attributes, policies, and practices that differentiate hospitals with high versus low risk-adjusted rates of very preterm neonatal morbidity and mortality (NMM).

Methods

Using a positive deviance research framework, we conducted qualitative interviews of hospital leadership and frontline clinicians from September-October 2018 in 4 high-performing and 4 low-performing hospitals in New York City, based on NMM measured in previous research. Key interview topics included NICU physician and nurse staffing, professional development, standardization of care, quality measurement and improvement, and efforts to measure and report on racial/ethnic disparities in care and outcomes for very preterm infants. Interviews were audiotaped, professionally transcribed, and coded using NVivo software. In qualitative content analysis, researchers blinded to hospital performance identified emergent themes, highlighted illustrative quotes, and drew qualitative comparisons between hospital clusters.

Results

The following features distinguished high-performing facilities: 1) stronger commitment from hospital leadership to diversity, quality, and equity; 2) better access to specialist physicians and experienced nursing staff; 3) inclusion of nurses in developing clinical policies and protocols, and 4) acknowledgement of the influence of racism and bias in healthcare on racial-ethnic disparities. In both clusters, areas for improvement included comprehensive family engagement strategies, care standardization, and reporting of quality data by patient sociodemographic characteristics.

Conclusions and relevance

Our findings suggest specific organizational and cultural characteristics, from hospital leadership and clinician perspectives, that may yield better patient outcomes, and demonstrate the utility of a positive deviance framework to center equity in quality initiatives for high-risk infant care.

The Impact of Cybervictimization on the Self-Management of Chronic Conditions: Lived Experiences

BACKGROUND

Cybervictimization of people with long-term conditions is a disturbing phenomenon with a documented impact on health and well-being. These experiences are primarily examined using quantitative methods, focusing on children and young people. However, research centered on the cybervictimization of adults with chronic conditions is scarce, with limited qualitative input from the victims as experts in their own experiences.

OBJECTIVE

This study aims to understand the impact of cybervictimization on the self-management of long-term conditions among adults with chronic conditions and disabilities in the United Kingdom.

METHODS

This paper reports the findings from the qualitative phase of a phenomenologically informed mixed methods study. The biographical disruption concept was used to conceptualize the study. In-depth semistructured interviews were conducted with 13 participants with chronic conditions who experienced cybervictimization. A codebook was developed, and a zigzag approach to thematic analysis was used to define and refine themes. Ethical considerations and risk assessment were ongoing during the research process because of the sensitivity of the topic and cases of harassment.

RESULTS

Cybervictimization has direct and indirect impacts on the self-management of chronic conditions. This impact was verified across 6 overarching themes that emerged from this study. First, biomedical events included overall health deterioration because of existing conditions, new diagnoses, and subjective physical complaints. Second, the impact on mental health was perceived through psychological consequences and psychiatric disorders that developed after or during this traumatic experience. Third, the multilevel impact theme focused on disrupting the strategies for coping with health conditions and involved unplanned changes to victims' health management priorities. Fourth, the impact of complexity reflected the perceived uniqueness in each case, intersectionality, struggle to obtain formal support, and subsequent health complications. Fifth, social network involvement comprised the effects of social isolation, victim blaming, and deception. Finally, the disability discrimination theme focused on prejudice, issues on inclusion, and hostility in society, with subsequent effects on well-being.

CONCLUSIONS

People with long-term conditions experienced different forms of cybervictimization, all disruptive with various effects on health. Disability discrimination was a prominent finding to be further investigated. This paper reports the impact as themes to guide further research and practice, with the recognition that long-term conditions and impairments are not a homogeneous group. Despite the devastating consequences, there are positive points that strengthen potential interventions. Awareness-raising campaigns, training of support channels, and multidisciplinary research are recommended to tackle this issue and initiate change.

Provider Perspectives on Artificial Intelligence-Guided Screening for Low Ejection Fraction in Primary Care: Qualitative Study

BACKGROUND

The promise of artificial intelligence (AI) to transform health care is threatened by a tangle of challenges that emerge as new AI tools are introduced into clinical practice. AI tools with high accuracy, especially those that detect asymptomatic cases, may be hindered by barriers to adoption. Understanding provider needs and concerns is critical to inform implementation strategies that improve provider buy-in and adoption of AI tools in medicine.

OBJECTIVE

This study aimed to describe provider perspectives on the adoption of an AI-enabled screening tool in primary care to inform effective integration and sustained use.

METHODS

A qualitative study was conducted between December 2019 and February 2020 as part of a pragmatic randomized controlled trial at a large academic medical center in the United States. In all, 29 primary care providers were purposively sampled using a positive deviance approach for participation in semistructured focus groups after their use of the AI tool in the randomized controlled trial was complete. Focus group data were analyzed using a grounded theory approach; iterative analysis was conducted to identify codes and themes, which were synthesized into findings.

RESULTS

Our findings revealed that providers understood the purpose and functionality of the AI tool and saw potential value for more accurate and faster diagnoses. However, successful adoption into routine patient care requires the smooth integration of the tool with clinical decision-making and existing workflow to address provider needs and preferences during implementation. To fulfill the AI tool's promise of clinical value, providers identified areas for improvement including integration with clinical decision-making, cost-effectiveness and resource allocation, provider training, workflow integration, care pathway coordination, and provider-patient communication.

CONCLUSIONS

The implementation of AI-enabled tools in medicine can benefit from sensitivity to the nuanced context of care and provider needs to enable the useful adoption of AI tools at the point of care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04000087; https://clinicaltrials.gov/ct2/show/NCT04000087.

Improving Regional Blood Pressure Control: a Positive Deviance Tiered Intensity Approach

BACKGROUND

Accelerated translation of real-world interventions for hypertension management is critical to improving cardiovascular outcomes and reducing disparities.

OBJECTIVE

To determine whether a positive deviance approach would improve blood pressure (BP) control across diverse health systems.

DESIGN

Quality improvement study using 1-year cross sections of electronic health record data over 5 years (2013-2017).

PARTICIPANTS

Adults ≥ 18 with hypertension with two visits in 2 years with at least one primary care visit in the last year (N = 114,950 at baseline) to a primary care practice in Better Health Partnership, a regional health improvement collaborative.

INTERVENTIONS

Identification of a "positive deviant" and dissemination of this system's best practices for control of hypertension (i.e., accurate/repeat BP measurement; timely follow-up; outreach; standard treatment algorithm; and communication curriculum) using 3 different intensities (low: Learning Collaborative events describing the best practices; moderate: Learning Collaborative events plus consultation when requested; and high: Learning Collaborative events plus practice coaching).

MAIN MEASURES

We used a weighted linear model to estimate the pre- to post-intervention average change in BP control (< 140/90 mmHg) for 35 continuously participating clinics.

KEY RESULTS

BP control post-intervention improved by 7.6% [95% confidence interval (CI) 6.0-9.1], from 67% in 2013 to 74% in 2017. Subgroups with the greatest absolute improvement in BP control included Medicaid (12.0%, CI 10.5-13.5), Hispanic (10.5%, 95% CI 8.4-12.5), and African American (9.0%, 95% CI 7.7-10.4). Implementation intensity was associated with improvement in BP control (high: 14.9%, 95% CI 0.2-19.5; moderate: 5.2%, 95% CI 0.8-9.5; low: 0.2%, 95% CI-3.9 to 4.3).

CONCLUSIONS

Employing a positive deviance approach can accelerate translation of real-world best practices into care across diverse health systems in the context of a regional health improvement collaborative (RHIC). Using this approach within RHICs nationwide could translate to meaningful improvements in cardiovascular morbidity and mortality.

ECG AI-Guided Screening for Low Ejection Fraction (EAGLE): Rationale and design of a pragmatic cluster randomized trial

BACKGROUND

A deep learning algorithm to detect low ejection fraction (EF) using routine 12-lead electrocardiogram (ECG) has recently been developed and validated. The algorithm was incorporated into the electronic health record (EHR) to automatically screen for low EF, encouraging clinicians to obtain a confirmatory transthoracic echocardiogram (TTE) for previously undiagnosed patients, thereby facilitating early diagnosis and treatment.

OBJECTIVES

To prospectively evaluate a novel artificial intelligence (AI) screening tool for detecting low EF in primary care practices.

DESIGN

The EAGLE trial is a pragmatic two-arm cluster randomized trial (NCT04000087) that will randomize >100 clinical teams (i.e., clusters) to either intervention (access to the new AI screening tool) or control (usual care) at 48 primary care practices across Minnesota and Wisconsin. The trial is expected to involve approximately 400 clinicians and 20,000 patients. The primary endpoint is newly discovered EF ≤50%. Eligible patients will include adults who undergo ECG for any reason and have not been previously diagnosed with low EF. Data will be pulled from the EHR, and no contact will be made with patients. A positive deviance qualitative study and a post-implementation survey will be conducted among select clinicians to identify facilitators and barriers to using the new screening report.

SUMMARY

This trial will examine the effectiveness of the AI-enabled ECG for detection of asymptomatic low EF in routine primary care practices and will be among the first to prospectively evaluate the value of AI in real-world practice. Its findings will inform future implementation strategies for the translation of other AI-enabled algorithms.

Exploring Care Attributes of Nephrologists Ranking Favorably on Measures of Value

BACKGROUND

Despite growth in value-based payment, attributes of nephrology care associated with payer-defined value remains unexplored.

METHODS

Using national health insurance claims data from private preferred provider organization plans, we ranked nephrology practices using total cost of care and a composite of common quality metrics. Blinded to practice rankings, we conducted site visits at four highly ranked and three average ranked practices to identify care attributes more frequently present in highly ranked practices. A panel of nephrologists used a modified Delphi method to score each distinguishing attribute on its potential to affect quality and cost of care and ease of transfer to other nephrology practices.

RESULTS

Compared with average-value peers, high-value practices were located in areas with a relatively higher proportion of black and Hispanic patients and a lower proportion of patients aged >65 years. Mean risk-adjusted per capita monthly total spending was 24% lower for high-value practices. Twelve attributes comprising five general themes were observed more frequently in high-value nephrology practices: preventing near-term costly health crises, supporting patient self-care, maximizing effectiveness of office visits, selecting cost-effective diagnostic and treatment options, and developing infrastructure to support high-value care. The Delphi panel rated four attributes highly on effect and transferability: rapidly adjustable office visit frequency for unstable patients, close monitoring and management to preserve kidney function, early planning for vascular access, and education to support self-management at every contact.

CONCLUSIONS

Findings from this small-scale exploratory study may serve as a starting point for nephrologists seeking to improve on payer-specified value measures.

Positive deviance approaches to improving vaccination coverage rates within healthcare systems: a systematic review

Aim: Our objective was to systematically review the use of the positive deviance approach to identify strategies to improve vaccination coverage rates. Materials & methods: We searched English language articles in Medline, Embase, Cochrane Library, CINAHL and PsycINFO without any date restrictions on 4 October 2017. We compiled a list of all strategies and evaluated the quality of these studies using the QATSDD tool. Results: After a review of 241 citations, we included eight studies. These studies focused on a wide variety of vaccines and settings. Core strategies that support vaccine uptake include the importance of tailoring and targeting in both messaging and delivery of vaccines and tracking delivery of vaccines. Patient and provider education, reminders, feedback loops, community collaborations, immunization registries and use of a medical home were also identified as other strategies. Conclusion: Our findings highlight several useful core strategies, which can be used to promote vaccination coverage. PROSPERO: CRD42017078221.

Positive Deviance to Address Health Equity in Quality and Safety in Obstetrics

Racial/ethnic disparities persist in obstetrical outcomes. In this paper, we ask how research in obstetrical quality can go beyond a purely quantitative approach to tackle the challenge of health inequity in quality and safety. This overview debriefs the use of positive deviance and mixed methods in others areas of medicine, describes the shortcomings of quantitative methods in obstetrics and presents qualitative studies carried out in obstetrics as well as the insights provided by this method. The article concludes by proposing positive deviance as a mixed methods approach to generate new knowledge for addressing racial and ethnic disparities in maternal outcomes.

Identifying best practices in interstage care: using a positive deviance approach within the National Pediatric Cardiology Quality Improvement Collaborative

IntroductionTo identify interstage best practices associated with lower mortality, we studied National Pediatric Cardiology Quality Improvement Collaborative centres registry using a positive deviance approach.

METHODS

Positive deviant and control centre team members were interviewed to identify potential interstage best practices. Subsequently, all collaborative centres were surveyed on the use of these practices to test their associations with centre mortality. Questionnaires were scored using Likert scales; the overall score was linearly transformed to a 0-100-point scale with higher scores indicating increased use of practices. Mortality was based on patients enrolled after a centre's first year in the collaborative. Centre mortality rates were divided into tertiles. Survey scores for the low mortality tertile were compared with the other tertiles.

RESULTS

For this study, seven positive deviant and four control teams were interviewed. A total of 20 potential best practices were identified, including team composition, improvement practices, and parent involvement. Questionnaires were completed by 36/43 eligible centres, providing 1504 patients for analysis. Average survey score was 50.2 (SD 13.4). Average mortality was 6.1% (SD 4.1). There was no correlation between survey scores and mortality (r=0.14, p=0.41). The one practice associated with the low mortality tertile was frequency of discussion of interstage results: 58.3% of low mortality teams discussed results at least monthly versus 8.4% of the middle and high tertile centres (p=0.02).

CONCLUSIONS

Low-mortality centres more frequently discuss interstage results than high-mortality centres. Heightened awareness of outcomes may influence practice; however, further study is needed to understand the variation in outcomes across centres.

Guideline-directed statin intensification in patients with new or worsening symptoms of peripheral artery disease

BACKGROUND

The ACC/AHA cholesterol guidelines recommend patients with peripheral artery disease (PAD) be treated with a moderate to high-intensity statin. The extent to which patients with new or worsening PAD symptoms are offered guideline therapy is unknown.

HYPOTHESIS

There is significant variability in rate of guideline-directed statin intensification across clinical practices.

METHODS

In the PORTRAIT registry, patterns of statin therapy were assessed in 1144 patients at 16 PAD specialty clinics between June 2011 and December 2015 before and after an evaluation for new or worsening claudication symptoms. We documented whether patients were treated with a guideline statin as well as the incidence of statin intensification. Statin intensification was defined as transitioning from no statin or low-intensity statin to moderate or high-intensity statin treatment. Patient factors associated with intensification were examined. Site and provider-level variation in intensification was summarized using an adjusted median odds ratio (aMOR).

RESULTS

Among 1144 patients, 810 (70.8%) were initially on guideline therapy compared to 334 (29.2%) that were not. In the latter, 103 (30.8%) received intensification following evaluation. Patients with typical symptoms displayed greater odds of intensification (OR 3.74; 95% CI: 1.23-11.41) while older patients had lower odds of intensification (OR 0.60/decade; 95% CI: 0.41-0.88). Site variability for statin intensification was observed across sites (aMOR = 3.15; 95% CI 1.22-9.60, [P = 0.02]) but not providers (aMOR = 1.89; 95% CI 1.00-3.90, [P = 0.14]).

CONCLUSIONS

Most patients evaluated at a PAD specialty clinic for new or worsening claudication symptoms arrived on guideline statin therapy. Only 31% not receiving appropriate therapy underwent statin intensification. These findings highlight an important opportunity to optimize medical therapy for patients with PAD.

A Next Generation Assets-Based Public Health Intervention Development Model: The Public as Innovators

In the public health field, the design of interventions has long been considered to be the province of public health experts. In this paper, I explore an important complement to the traditional model: the design, prototyping, and implementation of innovative public health interventions by the public (users) themselves. These user interventions can then be incorporated by public health experts, who in turn design, support, and implement improvements and diffusion strategies as appropriate for the broader community. The context and support for this proposed new public health intervention development model builds upon user innovation theory, which has only recently begun to be applied to research and practice in medicine and provides a completely novel approach in the field of public health. User innovation is an assets-based model in which end users of a product, process, or service are the locus of innovation and often more likely than producers to develop the first prototypes of new approaches to problems facing them. This occurs because users often possess essential context-specific information about their needs paired with the motivation that comes from directly benefiting from any solutions they create. Product producers in a wide range of fields have, in turn, learned to profit from the strengths of these user innovators by supporting their grass-roots, leading-edge designs and field experiments in various ways. I explore the promise of integrating user-designed and prototyped health interventions into a new assets-based public health intervention development model. In this exploration, a wide range of lead user methods and positive deviance studies provide examples for identification of user innovation in populations, community platforms, and healthcare programs. I also propose action-oriented and assets-based next steps for user-centered public health research and practice to implement this new model. This approach will enable us to call upon the strengths of the communities we serve as we develop new methods and approaches to more efficiently and effectively intervene on the varied complex health problems they face.

Identification of outliers and positive deviants for healthcare improvement: looking for high performers in hypoglycemia safety in patients with diabetes

Background

The study objectives were to determine: (1) how statistical outliers exhibiting low rates of diabetes overtreatment performed on a reciprocal measure – rates of diabetes undertreatment; and (2) the impact of different criteria on high performing outlier status.

Methods

The design was serial cross-sectional, using yearly Veterans Health Administration (VHA) administrative data (2009–2013). Our primary outcome measure was facility rate of HbA1c overtreatment of diabetes in patients at risk for hypoglycemia. Outlier status was assessed by using two approaches: calculating a facility outlier value within year, comparator group, and A1c threshold while incorporating at risk population sizes; and examining standardized model residuals across year and A1c threshold. Facilities with outlier values in the lowest decile for all years of data using more than one threshold and comparator or with time-averaged model residuals in the lowest decile for all A1c thresholds were considered high performing outliers.

Results

Using outlier values, three of the 27 high performers from 2009 were also identified in 2010–2013 and considered outliers. There was only modest overlap between facilities identified as top performers based on three thresholds: A1c < 6%, A1c < 6.5%, and A1c < 7%. There was little effect of facility complexity or regional Veterans Integrated Service Networks (VISNs) on outlier identification. Consistent high performing facilities for overtreatment had higher rates of undertreatment (A1c > 9%) than VA average in the population of patients at high risk for hypoglycemia.

Conclusions

Statistical identification of positive deviants for diabetes overtreatment was dependent upon the specific measures and approaches used. Moreover, because two facilities may arrive at the same results via very different pathways, it is important to consider that a “best” practice may actually reflect a separate “worst” practice.

Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction

OBJECTIVES

To characterize hospital phenotypes by their combined utilization pattern of percutaneous coronary interventions (PCI), coronary artery bypass grafting (CABG) procedures, and intensive care unit (ICU) admissions for patients hospitalized for acute myocardial infarction (AMI).

RESEARCH DESIGN

Using the Premier Analytical Database, we identified 129,138 hospitalizations for AMI from 246 hospitals with the capacity for performing open-heart surgery during 2010-2013. We calculated year-specific, risk-standardized estimates of PCI procedure rates, CABG procedure rates, and ICU admission rates for each hospital, adjusting for patient clinical characteristics and within-hospital correlation of patients. We used a mixture modeling approach to identify groups of hospitals (ie, hospital phenotypes) that exhibit distinct longitudinal patterns of risk-standardized PCI, CABG, and ICU admission rates.

RESULTS

We identified 3 distinct phenotypes among the 246 hospitals: (1) high PCI-low CABG-high ICU admission (39.2% of the hospitals), (2) high PCI-low CABG-low ICU admission (30.5%), and (3) low PCI-high CABG-moderate ICU admission (30.4%). Hospitals in the high PCI-low CABG-high ICU admission phenotype had significantly higher risk-standardized in-hospital costs and 30-day risk-standardized payment yet similar risk-standardized mortality and readmission rates compared with hospitals in the low PCI-high CABG-moderate ICU admission phenotype. Hospitals in these phenotypes differed by geographic region.

CONCLUSIONS

Hospitals differ in how they manage patients hospitalized for AMI. Their distinctive practice patterns suggest that some hospital phenotypes may be more successful in producing good outcomes at lower cost.

China Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction: Study Design

Background:

Despite the rapid growth in the incidence of acute myocardial infarction (AMI) in China, there is limited information about patients’ experiences after AMI hospitalization, especially on long-term adverse events and patient-reported outcomes (PROs).

Methods:

The China Patient-centered Evaluative Assessment of Cardiac Events (PEACE)-Prospective AMI Study will enroll 4000 consecutive AMI patients from 53 diverse hospitals across China and follow them longitudinally for 12 months to document their treatment, recovery, and outcomes. Details of patients’ medical history, treatment, and in-hospital outcomes are abstracted from medical charts. Comprehensive baseline interviews are being conducted to characterize patient demographics, risk factors, presentation, and healthcare utilization. As part of these interviews, validated instruments are administered to measure PROs, including quality of life, symptoms, mood, cognition, and sexual activity. Follow-up interviews, measuring PROs, medication adherence, risk factor control, and collecting hospitalization events are conducted at 1, 6, and 12 months after discharge. Supporting documents for potential outcomes are collected for adjudication by clinicians at the National Coordinating Center. Blood and urine samples are also obtained at baseline, 1- and 12-month follow-up. In addition, we are conducting a survey of participating hospitals to characterize their organizational characteristics.

Conclusion:

The China PEACE-Prospective AMI study will be uniquely positioned to generate new information regarding patient's experiences and outcomes after AMI in China and serve as a foundation for quality improvement activities.

Community factors related to healthy eating & active living in counties with lower than expected adult obesity rates

Background

Adult obesity rates in the United States have reached epidemic proportions, yet vary considerably across states and counties. We sought to explore community-level factors that may be associated with reduced adult obesity rates at the county level.

Methods

We identified six U.S. counties that were positive deviants for adult obesity and conducted semi-structured interviews with community leaders and government officials involved in efforts to promote healthier lifestyles. Using site visits and in-depth qualitative interviews, we identified several recurrent themes and strategies.

Results

Participants: 1) developed a nuanced understanding of their communities; 2) recognized the complex nature of obesity, and 3) implemented a county-wide strategic approach for promoting healthy living. This county-wide approachwas used to a) break down silos and build partnerships, b) access community resources and connections, and c) transfer ownership to community members.

Conclusions

We found that county leaders focused on establishing a county-wide structure to connect and support community-led initiatives to promote healthy living, reduce obesity, and foster sustainability. Findings from this study can help inform county-level efforts to improve healthy living and combat the multi-faceted challenges of adult obesity across the U.S.

Value co-creation in healthcare through positive deviance

PURPOSE

To explore how converging fields of co-creation and positive deviance may increase value in healthcare.

METHODS

Informed by research in positive deviance, patient engagement, value co-creation, and quality improvement, we propose a positive deviance approach to co-creation of health.

RESULTS

Co-creation has shown to improve health outcomes with regard to multiple health conditions. Positive deviance has also shown to improve outcomes in multiple healthcare and patient community environments.

CONCLUSION

A positive deviance co-creation framework may aid in achieving improved outcomes for patients, care teams and their respective healthcare organizations.

Endothelial dysfunction: a unifying hypothesis for the burden of cardiovascular diseases in sub-Saharan Africa

It is well established that the leading causes of death and disability worldwide are cardiovascular diseases (CVD), chief among which is ischaemic heart disease. However, it is also recognised that ischaemic heart disease frequently coexists with other vascular conditions, such as cerebrovascular, renovascular and peripheral vascular disease, thus raising the notion of a common underlying pathobiology, albeit with differing manifestations, dictated by the implicated vascular bed.

The understanding that common metabolic and behavioural risk factors as well as social determinants and drivers are convergent in the development of CVD evokes the idea that the dysfunction of a common bio-molecular platform is central to the occurrence of these diseases. The state of endothelial activation, otherwise known as endothelial dysfunction, occurs when reactive oxygen signalling predominates due to an uncoupled state of endothelial nitric oxide synthase (eNOS). This can be a physiological response to stimulation of the innate immune system or a pathophysiological response triggered by cardiovascular disease risk factors.

The conventional wisdom is that the endothelium plays an important role in the initiation, progression and development of CVD and other non-communicable diseases. Consequently, the endothelium has remarkable relevance in clinical and public health practice as well as in health education, health promotion, and disease- and risk-factor prevention strategies. It also presents a plausible unifying hypothesis for the burden of CVD seen globally and in sub-Saharan Africa. Importantly, the heterogeneity in individual responses to metabolic, behavioural, and social drivers of CVD may stem from a complex interplay of these drivers with genomic, epigenetic and environmental factors that underpin eNOS uncoupling. Therefore, further biomedical research into the underlying genetic and other mechanisms of eNOS uncoupling may enlighten and shape strategies for addressing the burden of CVD in sub-Saharan Africa and other regions of the world.

Organizational culture in cardiovascular care in Chinese hospitals: a descriptive cross-sectional study

Background

Organizational learning, the process by which a group changes its behavior in response to newly acquired knowledge, is critical to outstanding organizational performance. In hospitals, strong organizational learning culture is linked with improved health outcomes for patients. This study characterizes the organizational learning culture of hospitals in China from the perspective of a cardiology service.

Methods

Using a modified Abbreviated Learning Organization Survey (27 questions), we characterized organizational learning culture in a nationally representative sample of 162 Chinese hospitals, selecting 2 individuals involved with cardiovascular care at each hospital. Responses were analyzed at the hospital level by calculating the average of the two responses to each question. Responses were categorized as positive if they were 5+ on a 7-point scale or 4+ on a 5-point scale. Univariate and multiple regression analyses were used to assess the relationship between selected hospital characteristics and perceptions of organizational learning culture.

Results

Of the 324 participants invited to take the survey, 316 responded (98 % response rate). Perceptions of organizational learning culture varied among items, among domains, and both among and within hospitals. Overall, the median proportion of positive responses was 82 % (interquartile range = 59 % to 93 %). “Training,” “Performance Monitoring,” and “Leadership that Reinforces Learning” were characterized as the most favorable domains, while “Time for Reflection” was the least favorable. Multiple regression analyses showed that region was the only factor significantly correlated with overall positive response rate.

Conclusions

This nationally representative survey demonstrated variation in hospital organizational learning culture among hospitals in China. The variation was not substantially explained by hospital characteristics. Organizational learning culture domains with lower positive response rates reveal important areas for improvement.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-015-1211-7) contains supplementary material, which is available to authorized users.

Process optimization in the emergency department by the use of point-of-care-testing (POCT) in life-threatening conditions: comparative best practice examples from Germany and Malta

PURPOSE

Point-of-care testing (POCT) at the Emergency Department (ED) attains better objectives in patient care while aiming to achieve early diagnosis for faster medical decision-making. This study assesses and compares the benefits of POCT in the ED in Germany and Malta, while considering differences in their health systems.

METHODOLOGY/APPROACH

This chapter utilizes multiple case study approach using Six Sigma. The German case study assesses the use of POCT in acute coronary syndrome patients, compared to the central lab setting. The Maltese case study is a pilot study of the use of medical ultrasonography as a POCT to detect abdominal free fluid in post-blunt trauma.

FINDINGS

This study provides clear examples of the effectiveness of POCT in life-threatening conditions, as compared to the use of traditional central lab or the medical imaging department. Therapeutic quality in the ED and patient outcomes directly depend upon turnaround time, particularly for life-threatening conditions. Faster turnaround time not only saves lives but reduces morbidity, which in the long-term is a critical cost driver for hospitals.

ORIGINALITY/VALUE

The application of Six Sigma and the international comparison of POCT as best practice for life-threatening conditions in the ED.

Barriers and Strategies for Effective Patient Rescue: A Qualitative Study of Outliers

BACKGROUND

Organizational factors influencing failure-to-rescue (FTR)-or death after postoperative complications-are poorly understood. Case studies were conducted to generate hypotheses that could inform future FTR research and improvement strategies.

METHODS

Publicly reported 2009-2011 data were used to identify 144 outlier hospitals with statistically better or worse FTR performance than the national average. Of these 144 hospitals, 7 were selected for case studies in a purposive sample. Outliers enabled a focus on the organizational factors and processes at the extremes of performance. Semi-structured interviews were conducted in 2013 with key informants at each hospital, and transcripts were analyzed using the constant comparative method to identify emergent organizational behavioral themes.

RESULTS

The 7 hospitals-4 high- and 3 low-performing-yielded 106 interviews. Critical barriers to effective rescue were ineffective communication, lack of psychological safety, staffing discontinuity, imbalance of shared ownership and individual responsibility, lack of appropriate training and education, and difficulty using current metrics. Participants also identified strategies to overcome these barriers-rapid response teams, flattening the hierarchy, escalation strategies, health information technology, structured communication tools, constant team structures, standardized care pathways, and organizational learning.

CONCLUSION

FTR is a complex process that is viewed, defined, and acted on differently across and within organizations. Early recognition of patients deviating from normal recovery was enhanced in high-performing hospitals through the use of standardized postoperative recovery pathways and automated escalation protocols. Current FTR measures may be less actionable for the purposes of quality improvement.

"Phenotyping" hospital value of care for patients with heart failure

OBJECTIVE

To characterize hospitals based on patterns of their combined financial and clinical outcomes for heart failure hospitalizations longitudinally.

DATA SOURCE

Detailed cost and administrative data on hospitalizations for heart failure from 424 hospitals in the 2005-2011 Premier database.

STUDY DESIGN

Using a mixture modeling approach, we identified groups of hospitals with distinct joint trajectories of risk-standardized cost (RSC) per hospitalization and risk-standardized in-hospital mortality rate (RSMR), and assessed hospital characteristics associated with the distinct patterns using multinomial logistic regression.

PRINCIPAL FINDINGS

During 2005-2011, mean hospital RSC decreased from $12,003 to $10,782, while mean hospital RSMR declined from 3.9 to 3.2 percent. We identified five distinct hospital patterns: highest cost and low mortality (3.2 percent of the hospitals), high cost and low mortality (20.4 percent), medium cost and low mortality (34.6 percent), medium cost and high mortality (6.2 percent), and low cost and low mortality (35.6 percent). Longer hospital stay and greater use of intensive care unit and surgical procedures were associated with phenotypes with higher costs or greater mortality.

CONCLUSIONS

Hospitals vary substantially in the joint longitudinal patterns of cost and mortality, suggesting marked difference in value of care. Understanding determinants of the variation will inform strategies for improving the value of hospital care.

Hospital variation in survival after in-hospital cardiac arrest

BACKGROUND

In-hospital cardiac arrest (IHCA) is common and often fatal. However, the extent to which hospitals vary in survival outcomes and the degree to which this variation is explained by patient and hospital factors is unknown.

METHODS AND RESULTS

Within Get with the Guidelines-Resuscitation, we identified 135 896 index IHCA events at 468 hospitals. Using hierarchical models, we adjusted for demographics comorbidities and arrest characteristics (eg, initial rhythm, etiology, arrest location) to generate risk-adjusted rates of in-hospital survival. To quantify the extent of hospital-level variation in risk-adjusted rates, we calculated the median odds ratio (OR). Among study hospitals, there was significant variation in unadjusted survival rates. The median unadjusted rate for the bottom decile was 8.3% (range: 0% to 10.7%) and for the top decile was 31.4% (28.6% to 51.7%). After adjusting for 36 predictors of in-hospital survival, there remained substantial variation in rates of in-hospital survival across sites: bottom decile (median rate, 12.4% [0% to 15.6%]) versus top decile (median rate, 22.7% [21.0% to 36.2%]). The median OR for risk-adjusted survival was 1.42 (95% CI: 1.37 to 1.46), which suggests a substantial 42% difference in the odds of survival for patients with similar case-mix at similar hospitals. Further, significant variation persisted within hospital subgroups (eg, bed size, academic).

CONCLUSION

Significant variability in IHCA survival exists across hospitals, and this variation persists despite adjustment for measured patient factors and within hospital subgroups. These findings suggest that other hospital factors may account for the observed site-level variations in IHCA survival.

Achieving integration in mixed methods designs-principles and practices

Mixed methods research offers powerful tools for investigating complex processes and systems in health and health care. This article describes integration principles and practices at three levels in mixed methods research and provides illustrative examples. Integration at the study design level occurs through three basic mixed method designs-exploratory sequential, explanatory sequential, and convergent-and through four advanced frameworks-multistage, intervention, case study, and participatory. Integration at the methods level occurs through four approaches. In connecting, one database links to the other through sampling. With building, one database informs the data collection approach of the other. When merging, the two databases are brought together for analysis. With embedding, data collection and analysis link at multiple points. Integration at the interpretation and reporting level occurs through narrative, data transformation, and joint display. The fit of integration describes the extent the qualitative and quantitative findings cohere. Understanding these principles and practices of integration can help health services researchers leverage the strengths of mixed methods.

Patterns of change in nesiritide use in patients with heart failure: how hospitals react to new information

OBJECTIVES

This study sought to determine hospital patterns of change in use of nesiritide over a 6-year period after publications of safety concerns in 2005 and to identify hospital characteristics associated with these patterns.

BACKGROUND

The changing nature of medical evidence often requires a change in practice. Nesiritide was commercialized in 2001 for early relief of dyspnea in patients with decompensated heart failure. In 2005, concerns about its safety led to recommendations to restrict its use. Little is known about how hospitals responded to this information.

METHODS

We analyzed data from the Premier database, including 403 hospitals contributing 813,783 hospitalizations with heart failure from 2005 to 2010. We applied a growth mixture modeling approach to hospital-level, risk-standardized, quarterly use rates of nesiritide to distinguish hospital groups on the basis of their patterns of change in use.

RESULTS

The proportion of hospitalizations using nesiritide declined from 15.4% in 2005 to 1.2% in 2010. The level and speed of change varied markedly among hospitals. After adjusting for differences in patient characteristics across hospitals and years, we identified 3 distinct groups of hospitals: "low users," "fast de-adopters," and "slow de-adopters." In multivariate regression analysis, these groups did not differ in traditional hospital characteristics, such as size, urban setting, or teaching status.

CONCLUSIONS

We identified 3 distinct hospital groups characterized by their patterns of change in nesiritide use. These trajectory curves can provide hospitals with important feedback on how fast and effectively they react to new information compared with other hospitals. Uncovering factors that promote organizational learning requires further research.

Wide clinic-level variation in adherence to oral diabetes medications in the VA

BACKGROUND

While there has been extensive research into patient-specific predictors of medication adherence and patient-specific interventions to improve adherence, there has been little examination of variation in clinic-level medication adherence.

OBJECTIVE

We examined the clinic-level variation of oral hypoglycemic agent (OHA) medication adherence among patients with diabetes treated in the Department of Veterans Affairs (VA) primary care clinics. We hypothesized that there would be systematic variation in clinic-level adherence measures, and that adherence within organizationally-affiliated clinics, such as those sharing local management and support, would be more highly correlated than adherence between unaffiliated clinics.

DESIGN

Retrospective cohort study.

SETTING

VA hospital and VA community-based primary care clinics in the contiguous 48 states.

PATIENTS

444,418 patients with diabetes treated with OHAs and seen in 158 hospital-based clinics and 401 affiliated community primary care clinics during fiscal years 2006 and 2007.

MAIN MEASURES

Refill-based medication adherence to OHA.

KEY RESULTS

Adjusting for patient characteristics, the proportion of patients adherent to OHAs ranged from 57 % to 81 % across clinics. Adherence between organizationally affiliated clinics was high (Pearson Correlation = 0.82), and adherence between unaffiliated clinics was low (Pearson Correlation = 0.04).

CONCLUSION

The proportion of patients adherent to OHAs varied widely across VA primary care clinics. Clinic-level adherence was highly correlated to other clinics in the same organizational unit. Further research should identify which factors common to affiliated clinics influence medication adherence.

Features of high quality discharge planning for patients following acute myocardial infarction

BACKGROUND

Hospital discharge planning is required as a Medicare Condition of Participation (CoP), and is essential to the health and safety for all patients. However, there have been no studies examining specific hospital discharge processes, such as patient education and communication with primary care providers, in relation to hospital 30-day risk standardized mortality rates (RSMRs) for patients with acute myocardial infarction (AMI).

OBJECTIVE

To identify hospital discharge processes that may be associated with better performance in hospital AMI care as measured by RSMR.

DESIGN

We conducted a qualitative study of U.S. Hospitals, which were selected based on their RSMR reported by the Centers for Medicare & Medicaid Services (CMS) Hospital Compare website for the most recent data available (January 1, 2005 - December 31, 2007). We selected hospitals that ranked in the top 5 % and the bottom 5 % of RSMR for the two consecutive years. We focused on hospitals at the extreme ends of the range in RSMR, known as deviant case sampling. We excluded hospitals that did not have the ability to perform percutaneous coronary intervention in order to decrease the heterogeneity in our sample.

PARTICIPANTS

Participants included key hospital clinical and administrative staff most involved in discharge planning for patients admitted with AMI.

METHODS

We conducted 14 site visits and 57 in-depth interviews using a standard discussion guide. We employed a grounded theory approach and used the constant comparative method to generate recurrent and unifying themes.

KEY RESULTS

We identified five broad discharge processes that distinguished higher and lower performing hospitals: 1) initiating discharge planning upon patient admission; 2) using multidisciplinary case management services; 3) ensuring that a follow-up plan is in place prior to discharge; 4) providing focused education sessions for both the patient and family; and 5) contacting the primary care physician regarding the patient's hospitalization and follow-up care plan.

CONCLUSION

Comprehensive and more intense discharge processes that start on admission continue during the patient's hospital stay, and follow up with the primary care physician within 2 days post-discharge, may be critical in reducing hospital RSMR for patients with AMI.

A tale of two cities: the role of neighborhood socioeconomic status in spatial clustering of bystander CPR in Austin and Houston

BACKGROUND

Despite evidence to suggest significant spatial variation in out-of-hospital cardiac arrest (OHCA) and bystander cardiopulmonary resuscitation (BCPR) rates, geographic information systems (GIS) and spatial analysis have not been widely used to understand the reasons behind this variation. This study employs spatial statistics to identify the location and extent of clusters of bystander CPR in Houston and Travis County, TX.

METHODS

Data were extracted from the Cardiac Arrest Registry to Enhance Survival for two U.S. sites - Austin-Travis County EMS and the Houston Fire Department - between October 1, 2006 and December 31, 2009. Hierarchical logistic regression models were used to assess the relationship between income and racial/ethnic composition of a neighborhood and BCPR for OHCA and to adjust expected counts of BCPR for spatial cluster analysis. The spatial scan statistic was used to find the geographic extent of clusters of high and low BCPR.

RESULTS

Results indicate spatial clusters of lower than expected BCPR rates in Houston. Compared to BCPR rates in the rest of the community, there was a circular area of 4.2km radius where BCPR rates were lower than expected (RR=0.62; p<0.0001 and RR=0.55; p=0.037) which persist when adjusted for individual-level patient characteristics (RR=0.34; p=0.027) and neighborhood-level race (RR=0.34; p=0.034) and household income (RR=0.34; p=0.046). We also find a spatial cluster of higher than expected BCPR in Austin. Compared to the rest of the community, there was a 23.8km radius area where BCPR rates were higher than expected (RR=1.75; p=0.07) which disappears after controlling for individual-level characteristics.

CONCLUSIONS

A geographically targeted CPR training strategy which is tailored to individual and neighborhood population characteristics may be effective in reducing existing disparities in the provision of bystander CPR for out-of-hospital cardiac arrest.

Hospital collaboration with emergency medical services in the care of patients with acute myocardial infarction: perspectives from key hospital staff

STUDY OBJECTIVE

Evidence suggests that active collaboration between hospitals and emergency medical services (EMS) is significantly associated with lower acute myocardial infarction mortality rates; however, the nature of such collaborations is not well understood. We seek to characterize views of key hospital staff about collaboration with EMS in the care of patients hospitalized with acute myocardial infarction.

METHODS

We performed an exploratory analysis of qualitative data previously collected from site visits and detailed interviews with 11 US hospitals that ranked in the top or bottom 5% of performance on 30-day risk-standardized acute myocardial infarction mortality rates, using Centers for Medicare & Medicaid Services data from 2005 to 2007. We selected all codes from the previous analysis in which EMS was most likely to have been discussed. A multidisciplinary team analyzed the data with the constant comparative method to generate recurrent themes.

RESULTS

Both higher- and lower-performing hospitals reported that EMS is critical to the provision of timely care for patients with acute myocardial infarction. However, close collaborative relationships with EMS were more apparent in the higher-performing hospitals, which demonstrated specific investment in and attention to EMS through respect for EMS as valued professionals and colleagues, strong communication and coordination with EMS and active engagement of EMS in hospital acute myocardial infarction quality improvement efforts.

CONCLUSION

Hospital staff from higher-performing hospitals described broad, multifaceted strategies to support collaboration with EMS in providing acute myocardial infarction care. The association of these strategies with hospital performance should be tested quantitatively in a larger representative study.

Hospital strategies for reducing risk-standardized mortality rates in acute myocardial infarction

BACKGROUND

Despite recent improvements in survival after acute myocardial infarction (AMI), U.S. hospitals vary 2-fold in their 30-day risk-standardized mortality rates (RSMRs). Nevertheless, information is limited on hospital-level factors that may be associated with RSMRs.

OBJECTIVE

To identify hospital strategies that were associated with lower RSMRs.

DESIGN

Cross-sectional survey of 537 hospitals (91% response rate) and weighted multivariate regression by using data from the Centers for Medicare & Medicaid Services to determine the associations between hospital strategies and hospital RSMRs.

SETTING

Acute care hospitals with an annualized AMI volume of at least 25 patients.

PARTICIPANTS

Patients hospitalized with AMI between 1 January 2008 and 31 December 2009.

MEASUREMENTS

Hospital performance improvement strategies, characteristics, and 30-day RSMRs.

RESULTS

In multivariate analysis, several hospital strategies were significantly associated with lower RSMRs and in aggregate were associated with clinically important differences in RSMRs. These strategies included holding monthly meetings to review AMI cases between hospital clinicians and staff who transported patients to the hospital (RSMR lower by 0.70 percentage points), having cardiologists always on site (lower by 0.54 percentage points), fostering an organizational environment in which clinicians are encouraged to solve problems creatively (lower by 0.84 percentage points), not cross-training nurses from intensive care units for the cardiac catheterization laboratory (lower by 0.44 percentage points), and having physician and nurse champions rather than nurse champions alone (lower by 0.88 percentage points). Fewer than 10% of hospitals reported using at least 4 of these 5 strategies.

LIMITATION

The cross-sectional design demonstrates statistical associations but cannot establish causal relationships.

CONCLUSION

Several strategies, which are currently implemented by relatively few hospitals, are associated with significantly lower 30-day RSMRs for patients with AMI.

PRIMARY FUNDING SOURCE

The Agency for Healthcare Research and Quality, the United Health Foundation, and the Commonwealth Fund.