Making health a shared value: Lessons from nurse-designed models of care.

BACKGROUND: Nurse-designed models of community-based care reflect a broad definition of health; family- and community-centricity; relationships; and group and public health approaches. PURPOSE: To examine how nurse-designed models of care have addressed "making health a shared value" based on the framework of the Culture of Health. METHOD: A mixed-methods design included an online survey completed by 37 of 41 of "Edge Runners" (American Academy of Nursing-designated nurse innovators) and telephone interviews with 13 of the 37. Data were analyzed using descriptive statistics and standard content analysis. FINDINGS: Two main areas of "making health a shared value" were increasing the perceptions that individual health is interdependent with the health of the community and community health promotion. Themes were the value of social support (interventions that engage an individual's inner circle and a group environment to reveal shared experiences); messaging (a holistic definition of health, the value of both culturally- and medically-accurate information, and the business case); and building trust (expertise sits locally and trust takes time). DISCUSSION: Refinement of the COH framework may be warranted and can provide strategies for making health a shared value within a community. Shifting the orientation of healthcare organizations must be a long-term, deliberate goal.

A taxonomy of hospitals participating in Medicare accountable care organizations.

BACKGROUND: Medicare was an early innovator of accountable care organizations (ACOs), establishing the Medicare Shared Savings Program (MSSP) and Pioneer programs in 2012-2013. Existing research has documented that ACOs bring together an array of health providers with hospitals serving as important participants. PURPOSE: Hospitals vary markedly in their service structure and organizational capabilities, and thus, one would expect hospital ACO participants to vary in these regards. Our research identifies hospital subgroups that share certain capabilities and competencies. Such research, in conjunction with existing ACO research, provides deeper understanding of the structure and operation of these organizations. Given that Medicare was an initiator of the ACO concept, our findings provide a baseline to track the evolution of ACO hospitals over time. METHODOLOGY/APPROACH: Hierarchical clustering methods are used in separate analyses of MSSP and Pioneer ACO hospitals. Hospitals participating in ACOs with 2012-2013 start dates are identified through multiple sources. Study data come from the Centers for Medicare and Medicaid Services, American Hospital Association, and Health Information and Management Systems Society. RESULTS: Five-cluster solutions were developed separately for the MSSP and Pioneer hospital samples. Both the MSSP and Pioneer taxonomies had several clusters with high levels of health information technology capabilities. Also distinct clusters with strong physician linkages were present. We examined Pioneer ACO hospitals that subsequently left the program and found that they commonly had low levels of ambulatory care services or health information technology. CONCLUSION: Distinct subgroups of hospitals exist in both the MSSP and Pioneer programs, suggesting that individual hospitals serve different roles within an ACO. Health information technology and physician linkages appear to be particularly important features in ACO hospitals. PRACTICE IMPLICATIONS: ACOs need to consider not only geographic and service mix when selecting hospital participants but also their vertical integration features and management competencies.

The impact of accountable care organization participation on hospital patient experience.

BACKGROUND: Accountable care organizations (ACOs) are being implemented rapidly across the Unites States. Previous studies indicated an increasing number of hospitals have participated in ACOs. However, little is known about how ACO participation could influence hospitals' performance. PURPOSE: This study aims to examine the impact of Medicare ACO participation on hospitals' patient experience. METHODOLOGY/APPROACH: Difference-in-difference analyses were conducted to compare 10 patient experience measures between hospitals participating in Medicare ACOs and those not participating. RESULTS: In general, hospitals participating in Pioneer ACOs had significantly improved scores on nursing communication and doctor communication. Shared Savings Program (SSP) ACO participation did not show significant improvement of patient experience. Subgroup analyses indicate that, for hospitals in the middle and top tertile groups in terms of baseline experience, Pioneer ACO and SSP ACO participation was associated with better patient experience. For hospitals in the bottom tertile, Pioneer ACO and SSP ACO participation had no association with patient experience. CONCLUSION: ACO participation improved some aspects of patient experience among hospitals with prior good performance. However, hospitals with historically poor performance did not benefit from ACO participation. PRACTICE IMPLICATIONS: Prior care coordination and quality improvement experience position Medicare ACOs for greater success in terms of patient experience. Hospital leaders need to consider the potential negative consequences of ACO participation and the hospital's preparedness for care coordination.

[Value of shared electronic health records for the management of homeless people]. / Prise en charge des personnes sans chez-soi : intérêt du dossier médical partagé ?

AIM: To assess the acceptability for GPS to use the French shared Electronic Health Record (Dossier Médical Partagé, "DMP") when caring for Homeless People (HP). METHODS: Mixed, sequential, qualitative-quantitative study. The qualitative phase consisted of semi-structured interviews with GPs involved in the care of HP. During the quantitative phase, questionnaires were sent to 150 randomized GPs providing routine healthcare in Marseille. Social and practical acceptability was studied by means of a Likert Scale. RESULTS: 19 GPs were interviewed during the qualitative phase, and 105 GPs answered the questionnaire during the quantitative phase (response rate: 73%). GPs had a poor knowledge about DMP. More than half (52.5%) of GPs were likely to effectively use DMP for HP. GPs felt that the "DMP" could improve continuity, quality, and security of care for HP. They perceived greater benefits of the use the DMP for HP than for the general population, notably in terms of saving time (p = 0.03). However, GPs felt that HP were vulnerable and wanted to protect their patients; they worried about security of data storage. GPs identified specific barriers for HP to use DMP: most of them concerned practical access for HP to DMP (lack of social security card, or lack of tool for accessing internet). CONCLUSION: A shared electronic health record, such as the French DMP, could improve continuity of care for HP in France. GPs need to be better informed, and DMP functions need to be optimized and adapted to HP, so that it can be effectively used by GPs for HP.

Sharing post-AML consolidation supportive therapy with local centers reduces patient travel burden without compromising outcomes.

Acute myeloid leukemia (AML) is frequently treated with induction and consolidation chemotherapy. Consolidation chemotherapy can be delivered on an ambulatory basis, requiring some patients to travel long distances for treatment at specialized centers. We developed a shared care model where patients receive consolidation chemotherapy at a quaternary center, but post-consolidation supportive care at local hospitals. To evaluate the impact of our model on patient travel and outcomes we conducted a retrospective analysis of AML and acute promyelocytic leukemia patients receiving consolidation over four years at our quaternary center. 73 patients received post-consolidation care locally, and 344 at the quaternary center. Gender, age and cytogenetic risk did not significantly differ between groups. Shared care patients saved mean round trip distance of 146.5km±99.6 and time of 96.7min±63.4 compared to travelling to quaternary center. There was no significant difference in overall survival between groups, and no increased hazard of death for shared care patients. 30, 60, and 90day survival from start of consolidation was 98.6%, 97.2%, and 95.9% for shared care and 98.8%, 97.1%, and 95.3% for quaternary center patients. Thus, a model utilizing regional partnerships for AML post-consolidation care reduces travel burden while maintaining safety.

Understanding specialist sharing: A mixed-method exploration in an increasingly price-competitive hospital market.

INTRODUCTION: Medical specialists seem to increasingly work in- and be affiliated to- multiple organizations. We define this phenomenon as specialist sharing. This form of inter-organizational cooperation has received scant scholarly attention. We investigate the extent of- and motives behind- specialist sharing, in the price-competitive hospital market of the Netherlands. METHODS: A mixed-method was adopted. Social network analysis was used to quantitatively examine the extent of the phenomenon. The affiliations of more than 15,000 medical specialists to any Dutch hospital were transformed into 27 inter-hospital networks, one for each medical specialty, in 2013 and in 2015. Between February 2014 and February 2016, 24 semi-structured interviews with 20 specialists from 13 medical specialties and four hospital executives were conducted to provide in-depth qualitative insights regarding the personal and organizational motives behind the phenomenon. RESULTS: Roughly, 20% of all medical specialists are affiliated to multiple hospitals. The phenomenon occurs in all medical specialties and all Dutch hospitals share medical specialists. Rates of specialist sharing have increased significantly between 2013 and 2015 in 14 of the 27 specialties. Personal motives predominantly include learning, efficiency, and financial benefits. Increased workload and discontinuity of care are perceived as potential drawbacks. Hospitals possess the final authority to decide whether and which specialists are shared. Adhering to volume norms and strategic considerations are seen as their main drivers to share specialists. DISCUSSION: We conclude that specialist sharing should be interpreted as a form of inter-organizational cooperation between healthcare organizations, facilitating knowledge flow between them. Although quality improvement is an important perceived factor underpinning specialist sharing, evidence of enhanced quality of care is anecdotal. Additionally, the widespread occurrence of the phenomenon and the underlying strategic considerations could pose an antitrust infringement.

A Model of Shared Mycobacteriology Testing Services: Lessons Learned.

OBJECTIVE: The need for public health laboratories (PHLs) to prioritize resources has led to increased interest in sharing diagnostic services. To address this concept for tuberculosis (TB) testing, the New York State Department of Health Wadsworth Center and the Rhode Island State Health Laboratories assessed the feasibility of shared services for the detection and characterization of Mycobacterium tuberculosis complex (MTBC). METHODS: We assessed multiple aspects of shared services including shipping, testing, reporting, and cost. Rhode Island State Health Laboratories shipped MTBC-positive specimens and isolates to Wadsworth Center. Average turnaround times were calculated and cost analysis was performed. RESULTS: Testing turnaround times were similar at both PHLs; however, the availability of conventional drug susceptibility testing (DST) results for Rhode Island primary specimens and isolates were extended by approximately four days of shipping time. An extended molecular testing panel was performed on every specimen submitted from Rhode Island State Health Laboratories to Wadsworth Center, and the total cost per specimen at Wadsworth Center was $177.12 less than at Rhode Island State Health Laboratories, plus shipping. Following a mid-study review, Wadsworth Center provided testing turnaround times for detection (same day), species determination of MTBC (same day), and molecular DST (2.5 days). CONCLUSION: The collaboration between Wadsworth Center and Rhode Island State Health Laboratories to assess shared services of TB testing highlighted a successful model that may serve as a guideline for other PHLs. The provision of additional rapid testing at a lower cost demonstrated in this study could potentially improve patient management and result in significant cost and resource savings if used in similar models across the country.

[Concept for a department of intensive care]. / Konzept einer Klinik für Intensivmedizin.

BACKGROUND: Demographic change and increasing complexity are among the reasons for high-tech critical care playing a major and increasing role in today's hospitals. At the same time, intensive care is one of the most cost-intensive departments in the hospital. PREREQUISITES: To guarantee high-quality care, close cooperation of specialised intensive care staff with specialists of all other medical areas is essential. A network of the intensive care units within the hospital may lead to synergistic effects concerning quality of care, simultaneously optimizing the use of human and technical resources. GOAL: Notwithstanding any organisational concepts, development and maintenance of the highest possible quality of care should be of overriding importance.

[Management by objectives: an experience by transfusion and immunology service in Rabat]. / Contractualisation interne : expérience du service de transfusion et d'immunologie de Rabat.

The management by objectives method has become highly used in health management. In this context, the blood transfusion and haemovigilance service has been chosen for a pilot study by the Head Department of the Ibn Sina Hospital in Rabat. This study was conducted from 2009 to 2011, in four steps. The first one consisted in preparing human resources (information and training), identifying the strengths and weaknesses of the service and the identification and classification of the service's users. The second step was the elaboration of the terms of the contract, which helped to determine two main strategic objectives: to strengthen the activities of the service and move towards the "status of reference." Each strategic objective had been declined in operational objectives, then in actions and the means required for the implementation of each action. The third step was the implementation of each action (service, head department) so as to comply with the terms of the contract as well as to meet the deadlines. Based on assessment committees, the last step consisted in the evaluation process. This evaluation was performed using monitoring indicators and showed that management by objectives enabled the Service to reach the "clinical governance level", to optimize its human and financial resources and to reach the level of "national laboratory of reference in histocompatibility". The scope of this paper is to describe the four steps of this pilot study and to explain the usefulness of the management by objectives method in health management.

Decision support for hospital bed management using adaptable individual length of stay estimations and shared resources.

BACKGROUND: Elective patient admission and assignment planning is an important task of the strategic and operational management of a hospital and early on became a central topic of clinical operations research. The management of hospital beds is an important subtask. Various approaches have been proposed, involving the computation of efficient assignments with regard to the patients' condition, the necessity of the treatment, and the patients' preferences. However, these approaches are mostly based on static, unadaptable estimates of the length of stay and, thus, do not take into account the uncertainty of the patient's recovery. Furthermore, the effect of aggregated bed capacities have not been investigated in this context. Computer supported bed management, combining an adaptable length of stay estimation with the treatment of shared resources (aggregated bed capacities) has not yet been sufficiently investigated. The aim of our work is: 1) to define a cost function for patient admission taking into account adaptable length of stay estimations and aggregated resources, 2) to define a mathematical program formally modeling the assignment problem and an architecture for decision support, 3) to investigate four algorithmic methodologies addressing the assignment problem and one base-line approach, and 4) to evaluate these methodologies w.r.t. cost outcome, performance, and dismissal ratio. METHODS: The expected free ward capacity is calculated based on individual length of stay estimates, introducing Bernoulli distributed random variables for the ward occupation states and approximating the probability densities. The assignment problem is represented as a binary integer program. Four strategies for solving the problem are applied and compared: an exact approach, using the mixed integer programming solver SCIP; and three heuristic strategies, namely the longest expected processing time, the shortest expected processing time, and random choice. A baseline approach serves to compare these optimization strategies with a simple model of the status quo. All the approaches are evaluated by a realistic discrete event simulation: the outcomes are the ratio of successful assignments and dismissals, the computation time, and the model's cost factors. RESULTS: A discrete event simulation of 226,000 cases shows a reduction of the dismissal rate compared to the baseline by more than 30 percentage points (from a mean dismissal ratio of 74.7% to 40.06% comparing the status quo with the optimization strategies). Each of the optimization strategies leads to an improved assignment. The exact approach has only a marginal advantage over the heuristic strategies in the model's cost factors (≤3%). Moreover,this marginal advantage was only achieved at the price of a computational time fifty times that of the heuristic models (an average computing time of 141 s using the exact method, vs. 2.6 s for the heuristic strategy). CONCLUSIONS: In terms of its performance and the quality of its solution, the heuristic strategy RAND is the preferred method for bed assignment in the case of shared resources. Future research is needed to investigate whether an equally marked improvement can be achieved in a large scale clinical application study, ideally one comprising all the departments involved in admission and assignment planning.

What do physicians dislike about managed care? Evidence from a choice experiment.

Managed care (MC) imposes restrictions on physician behavior, but also holds promises, especially in terms of cost savings and improvements in treatment quality. This contribution reports on private-practice physicians' willingness to accept (WTA, compensation asked, respectively) for several MC features. In 2011, 1,088 Swiss ambulatory care physicians participated in a discrete choice experiment, which permits putting WTA values on MC attributes. With the exception of shared decision making and up to six quality circle meetings per year, all attributes are associated with non-zero WTA values. Thus, health insurers must be able to achieve substantial savings in order to create sufficient incentives for Swiss physicians to participate voluntarily in MC plans.

[Disease-specific patterns of hospital care in Germany analyzed via the German Inpatient Quality Indicators (G-IQI)]. / Krankheitsspezifische Versorgungsmerkmale in Deutschland: Analyse anhand der Bundesauswertung der German Inpatient Quality Indicators (G-IQI).

OBJECTIVE: Using the categories of the German Inpatient Quality indicators (G-IQI) important characteristics of inpatient care were analyzed on the national level in Germany. The evaluation gives an overview of total national case numbers and number of hospitals involved in the treatment of important diseases. METHOD: The analysis was based on the national so called 'DRG database' for the year 2010, which covers all German inpatient DRG cases (all patient / all payer database). With the major exception of psychiatric and psychosomatic cases this database covers 17.43 of the 18.49 million German inpatient cases. The coded diagnoses and procedures as well as demographic information were used to group cases into G-IQI disease categories. The respective total case numbers, number of hospitals providing the services, interquartile range of case distribution, in-hospital mortality and interquartile range of standardized mortality ratios were investigated. RESULTS: Especially for less frequent diseases and procedures it is shown, that many hospitals treat very low case numbers. For example for gastric resection the lower quartile is 4, for esophageal resection 1 and for cystectomy 5. Even for a more frequent disease like myocardial infarction the lower quartile is 36. Mortalities also show considerable variation. However, due to the low case numbers in many hospitals, the deviation of hospital mortality from the German average can only become significant for rather few hospitals. CONCLUSION: On the one hand this paper provides national reference values for the German Inpatient Quality Indicators, which cover 38.7 % of all inpatient cases and 50.8 % of in-hospital deaths. On the other hand it gives a first overview of the disease specific patterns of inpatient hospital care in Germany. Despite the high overall quality of the German health care system it suggests, that further improvement might be possible, if structural problems were addressed.