Core elements of excellent hospital leadership: lessons from the five top-performing hospitals in China.

Substantial evidence indicates that leadership plays a critical role in an organization's success. Our study aims to conduct case studies on leadership attributes among China's five top-performing hospitals, examining their common practices. A semi-structured interview was conducted with 8 leaders, 39 managers, 19 doctors, and 16 nurses from the five sample hospitals in China. We collected information from these hospitals on the role of senior leadership, organizational governance, and social responsibility, aligning with the leadership assessment guidelines in the Baldrige Excellence Framework. Qualitative data underwent interpretation through content analysis, thematic analysis, and comparative analysis. This study adhered to the consolidated criteria for reporting qualitative research guidelines for reporting qualitative research. Our study revealed that the leaders of the five top-performing hospitals in China consistently established "Patient Needs First" as the core element of the hospital culture. Striving to build world-renowned hospitals with Chinese characteristics, the interviewees all believed strongly in scientific vigor, professionalism, and cooperative culture. The leaders adhered to a staff-centered approach, placing special emphasis on talent recruitment and development, creating a compensation system, and fostering a supportive environment conducive to enhancing medical knowledge, skills, and professional ethics. In terms of organizational governance, they continuously enhanced the communication between various departments and levels of staff, improved the quality and safety of medical care, and focused on innovative medical and scientific research, thereby establishing evidence-based, standardized hospital management with a feedback loop. Meanwhile, regarding social responsibility, they prioritized improvements in the quality of healthcare by providing international and domestic medical assistance, community outreach, and other programs. To a large extent, the excellent leadership of China's top-performing hospitals can be attributed to their commitment to a "Two-Pillared Hospital Culture," which prioritizes putting patient needs first and adopting a staff-centered approach. Furthermore, the leaders of these hospitals emphasize hospital performance, operations management, and social responsibility.

Organization and Performance of US Health Systems.

Importance: Health systems play a central role in the delivery of health care, but relatively little is known about these organizations and their performance. Objective: To (1) identify and describe health systems in the United States; (2) assess differences between physicians and hospitals in and outside of health systems; and (3) compare quality and cost of care delivered by physicians and hospitals in and outside of health systems. Evidence Review: Health systems were defined as groups of commonly owned or managed entities that included at least 1 general acute care hospital, 10 primary care physicians, and 50 total physicians located within a single hospital referral region. They were identified using Centers for Medicare & Medicaid Services administrative data, Internal Revenue Service filings, Medicare and commercial claims, and other data. Health systems were categorized as academic, public, large for-profit, large nonprofit, or other private systems. Quality of preventive care, chronic disease management, patient experience, low-value care, mortality, hospital readmissions, and spending were assessed for Medicare beneficiaries attributed to system and nonsystem physicians. Prices for physician and hospital services and total spending were assessed in 2018 commercial claims data. Outcomes were adjusted for patient characteristics and geographic area. Findings: A total of 580 health systems were identified and varied greatly in size. Systems accounted for 40% of physicians and 84% of general acute care hospital beds and delivered primary care to 41% of traditional Medicare beneficiaries. Academic and large nonprofit systems accounted for a majority of system physicians (80%) and system hospital beds (64%). System hospitals were larger than nonsystem hospitals (67% vs 23% with >100 beds), as were system physician practices (74% vs 12% with >100 physicians). Performance on measures of preventive care, clinical quality, and patient experience was modestly higher for health system physicians and hospitals than for nonsystem physicians and hospitals. Prices paid to health system physicians and hospitals were significantly higher than prices paid to nonsystem physicians and hospitals (12%-26% higher for physician services, 31% for hospital services). Adjusting for practice size attenuated health systems differences on quality measures, but price differences for small and medium practices remained large. Conclusions and Relevance: In 2018, health system physicians and hospitals delivered a large portion of medical services. Performance on clinical quality and patient experience measures was marginally better in systems but spending and prices were substantially higher. This was especially true for small practices. Small quality differentials combined with large price differentials suggests that health systems have not, on average, realized their potential for better care at equal or lower cost.

Increased time from physiological derangement to critical care admission associates with mortality.

BACKGROUND: Rapid response systems aim to achieve a timely response to the deteriorating patient; however, the existing literature varies on whether timing of escalation directly affects patient outcomes. Prior studies have been limited to using 'decision to admit' to critical care, or arrival in the emergency department as 'time zero', rather than the onset of physiological deterioration. The aim of this study is to establish if duration of abnormal physiology prior to critical care admission ['Score to Door' (STD) time] impacts on patient outcomes. METHODS: A retrospective cross-sectional analysis of data from pooled electronic medical records from a multi-site academic hospital was performed. All unplanned adult admissions to critical care from the ward with persistent physiological derangement [defined as sustained high National Early Warning Score (NEWS) > / = 7 that did not decrease below 5] were eligible for inclusion. The primary outcome was critical care mortality. Secondary outcomes were length of critical care admission and hospital mortality. The impact of STD time was adjusted for patient factors (demographics, sickness severity, frailty, and co-morbidity) and logistic factors (timing of high NEWS, and out of hours status) utilising logistic and linear regression models. RESULTS: Six hundred and thirty-two patients were included over the 4-year study period, 16.3% died in critical care. STD time demonstrated a small but significant association with critical care mortality [adjusted odds ratio of 1.02 (95% CI 1.0-1.04, p = 0.01)]. It was also associated with hospital mortality (adjusted OR 1.02, 95% CI 1.0-1.04, p = 0.026), and critical care length of stay. Each hour from onset of physiological derangement increased critical care length of stay by 1.2%. STD time was influenced by the initial NEWS, but not by logistic factors such as out-of-hours status, or pre-existing patient factors such as co-morbidity or frailty. CONCLUSION: In a strictly defined population of high NEWS patients, the time from onset of sustained physiological derangement to critical care admission was associated with increased critical care and hospital mortality. If corroborated in further studies, this cohort definition could be utilised alongside the 'Score to Door' concept as a clinical indicator within rapid response systems.

Using ICD-10 codes to identify elective epilepsy monitoring unit admissions from administrative billing data: A validation study.

Video-electroencephalogram (EEG) monitoring in the epilepsy monitoring unit (EMU) is essential for managing epilepsy and seizure mimics. Evaluation of care in the EMU would benefit from a validated code set capable of identifying EMU admissions from administrative databases comprised of large, diverse cohorts. We assessed the ability of code-based queries to parse EMU admissions from administrative billing records in a large academic medical center over a four-year period, 2016-2019. We applied prespecified queries for admissions coded as follows: 1) elective, 2) receiving video-EEG monitoring, and 3) including diagnoses typically required by major US healthcare payers for EMU admission. Sensitivity (Sn), specificity (Sp), and predictive value positive/negative (PVP, PVN) were determined. Two approaches were highly effective. Incorporating epilepsy, seizure, or seizure mimic codes as the admitting diagnosis (assigned at admission; Sn 96.3%, Sp 100.0%, PVP 98.3%, and PVN 100.0%) or the principal diagnosis (assigned after discharge; Sn 94.9%, Sp 100.0%, PVP 98.8%, and PVN 100.0%) identified elective adult EMU admissions with comparable reliability (p = 0.096). The addition of surgical procedure codes further separated EMU admissions for intracranial EEG monitoring. When applied to larger, more comprehensive datasets, these code-based queries should enhance our understanding of EMU utilization and access to care on a scalable basis.

Association between adopting emergency department crowding interventions and emergency departments' core performance measures.

OBJECTIVES: To estimate the association between adopting emergency department (ED) crowding interventions and emergency departments' core performance measures. METHODS: We analyzed the National Hospital Ambulatory Medical Care Survey (NHAMCS) data from 2007 to 2015. The outcome variables are ED length of stay for discharged and admitted patients, boarding time, wait time and percentage of patients who left ED before being seen (LWBS). The independent variables are whether or not a hospital adopted each of the 20 crowding interventions. Controlling for patient-level, hospital level and temporal confounders we analyze and report results using multivariable logit model. RESULTS: Between 2007 and 2015, NHAMCS collected data for 269,721 ED visit encounters, representing a nationwide of about 1.18 billion separate ED visits. Of 20 crowding interventions we tested, using adopting bedside registration (OR = 0.89, 95% CI = 0.75-0.98, P < .05), electronic dashboard (OR = 0.86, 95% CI = 0.76-0.98, P < .05), kiosk check-in technology (OR = 0.56, 95% CI = 0.41-0.83, P < .001), physician based triage (OR = 0.86, 95% CI = 0.73-0.99, P < .05) full capacity protocol (OR = 0.91, 95% CI = 0.79-0.99, P < .05) are associated with decrease in the odds of prolonged wait time. Adopting kiosk check-in (OR = 0.55, 95% CI = 0.35-0.85, P < .05) is associated with a decrease in the odds of prolonged boarding time. Using wireless communication devices (OR = 0.77, 95% CI = 0.57-0.97, P < .05), bedside registration (OR = 0.77, 95% CI = 0.64-0.094, P < .05) and pooled nursing (OR = 0.84, 95% CI = 0.72-0.98, P < .05) are associated with decrease in the odds of a patient LWBS. CONCLUSIONS: Majority of interventions did not significantly associated with ED' core performance measures.

IoT Based Predictive Maintenance Management of Medical Equipment.

Technological advancements are the main drivers of the healthcare industry as it has a high impact on delivering the best patient care. Recent years witnessed unprecedented growth in the number of medical equipment manufactured to aid high-quality patient care at a fast pace. With this growth of medical equipment, hospitals need to adopt optimal maintenance strategies that enhance the performance of their equipment and attempt to reduce their maintenance costs and effort. In this work, a Predictive Maintenance (PdM) approach is presented to help in failure diagnosis for critical equipment with various and frequent failure mode(s). The proposed approach relies on the understanding of the physics of failure, real-time collection of the right parameters using the Internet of Things (IoT) technology, and utilization of machine learning tools to predict and classify healthy and faulty equipment status. Moreover, transforming traditional maintenance into PdM has to be supported by an economic analysis to prove the feasibility and efficiency of transformation. The applicability of the approach was demonstrated using a case study from a local hospital in the United Arab Emirates (UAE) where the Vitros-Immunoassay analyzer was selected based on maintenance events and criticality assessment as a good candidate for transforming maintenance from corrective to predictive. The dominant failure mode is metering arm belt slippage due to wear out of belt and movement of pulleys which can be predicted using vibration signals. Vibration real data is collected using wireless accelerometers and transferred to a signal analyzer located on a cloud or local computer. Features extracted and selected are analyzed using Support Vector Machine (SVM) to detect the faulty condition. In terms of economics, the proposed approach proved to provide significant diagnostic and repair cost savings that can reach up to 25% and an investment payback period of one year. The proposed approach is scalable and can be used across medical equipment in large medical centers.

[Complete information technology blackout in hospitals : Development of a concept for maintaining patient care]. / Vollausfall der Informationstechnologie im Krankenhaus : Entwicklung eines Konzepts zur Aufrechterhaltung der Patientenversorgung.

The complete blackout of information technology (IT) in a hospital represents a major incident with acute loss of functionality. The immediate consequence is a rapidly progressive loss of treatment capacity. The major priority for the acute management of such an event is to keep patients safe and prevent life-threatening situations. A possibility to channel the uncontrolled loss of treatment capacity in order to achieve the aforementioned protective target is the immediate organization of an analog system for baseline emergency medical care. The switch over from a fully operational routinely functioning system to a reduced emergency state occurs daily in hospitals (night shift, weekends, public holidays) and reflects the controlled reduction of the treatment capacity. This process and the procedures associated with it are universally known, the functions are clearly defined and planned in advance by duty rotas and the interplay of clinics in the organizational schedule is regulated in detail. In order to accomplish this strategy analog instruments are necessary. These must all be conceived, established, practiced and evaluated in advance with the clinics and departments. Ultimately, all isolated IT blackout concepts must be amalgamated into a compatible and functioning total framework. This structure must be maintained for as long as a partially or totally functioning IT has been reinstated.

A tool to assess the quality perception of healthcare employees.

PURPOSE: The purpose of this project was to determine the validity and reliability of the Healthcare Quality Perception (HQP) questionnaire tool designed to capture employees' perceptions of healthcare quality in Indian hospitals. DESIGN/METHODOLOGY/APPROACH: Two hundred employees in private and public sector hospitals in India were randomly selected and given the HQP tool. It consisted of 38 Likert-scale items and six different subscales: (1) Planning and Documentation (n = 7); (2) Employee Participation in Quality Management Activities (n = 5); (3) Existence of Policies/Procedures/Guidelines (n = 5); (4) Quality and Patient Safety Management (n = 9); (5) Perceived Effect of Quality Improvement (n = 7) and (6) Training and Development Opportunities (n = 5). 156 completed questionnaires were received, demonstrating a 78% response rate. HQP tool subjected to statistical analysis to measure its reliability and validity. A p-value of less than 0.05 was considered as "significant." FINDINGS: Factor analysis pulled out six factors that conjointly demonstrated 66.4 % of the variance in healthcare professionals' (HCPs') perception of healthcare service quality in selected Indian hospitals. The overall Cronbach's alpha coefficient was measured at 0.959 for internal consistency reliability. This study demonstrates that the identified six critical factors are important determinants influencing HCPs' perception of the quality of healthcare services in private and public sector hospitals in India. ORIGINALITY/VALUE: This study provides evidence for the reliability and validity of the newly developed HCP Scale for the assessment of employee perception of the quality of services offered in selected hospitals in India, with potential applications in other contexts.

A Methodology For Studying Organizational Performance: A Multistate Survey of Front-line Providers.

BACKGROUND: Rigorous measurement of organizational performance requires large, unbiased samples to allow inferences to the population. Studies of organizations, including hospitals, often rely on voluntary surveys subject to nonresponse bias. For example, hospital administrators with concerns about performance are more likely to opt-out of surveys about organizational quality and safety, which is problematic for generating inferences. OBJECTIVE: The objective of this study was to describe a novel approach to obtaining a representative sample of organizations using individuals nested within organizations, and demonstrate how resurveying nonrespondents can allay concerns about bias from low response rates at the individual-level. METHODS: We review and analyze common ways of surveying hospitals. We describe the approach and results of a double-sampling technique of surveying nurses as informants about hospital quality and performance. Finally, we provide recommendations for sampling and survey methods to increase response rates and evaluate whether and to what extent bias exists. RESULTS: The survey of nurses yielded data on over 95% of hospitals in the sampling frame. Although the nurse response rate was 26%, comparisons of nurses' responses in the main survey and those of resurveyed nonrespondents, which yielded nearly a 90% response rate, revealed no statistically significant differences at the nurse-level, suggesting no evidence of nonresponse bias. CONCLUSIONS: Surveying organizations via random sampling of front-line providers can avoid the self-selection issues caused by directly sampling organizations. Response rates are commonly misinterpreted as a measure of representativeness; however, findings from the double-sampling approach show how low response rates merely increase the potential for nonresponse bias but do not confirm it.

Overview of quality management models for inpatient healthcare settings. A scoping review.

PURPOSE: This scoping review aimed to generate an overview of existing quality management (QM) models for inpatient healthcare published in peer-reviewed literature. DATA SOURCES: Peer-reviewed publications published until June 2016 were retrieved from the databases Medline, PubMed, CINAHL and Cochrane Library using search terms related to QM and models. STUDY SELECTION: Publications mentioning a QM model for general application in healthcare or inpatient care in their title or abstract were included. Languages considered were: English, French, German, Italian and Spanish. DATA EXTRACTION: Data extraction was 3-fold. First, publication characteristics were summarized. Second, the frequency of each identified model was documented and the publications were divided into conceptual and implementation publications. Third, relevant QM models were identified and information regarding the model, including content and relationship with other models, was extracted. RESULTS OF DATA SYNTHESIS: Of 925 retrieved publications, 213 were included. The included publications reported on 64 different QM models that were suitable for or used in inpatient care. Seventeen models were identified as being relevant. The 17 models were then categorized into three different levels: conceptual quality improvement models, concrete application models and country specific adaptations. CONCLUSION: This scoping review provides an overview of 17 existing QM models for inpatient care and their relationships with each other. Various types of models with differing aspects and components exist. In searching for QM models, many different concepts like QM system, accreditation or methodologies appeared. For future investigation, concepts of interest should be clarified.

The Impact of the Syrian Refugee Crisis on Nurses and the Healthcare System in Lebanon: A Qualitative Exploratory Study.

PURPOSE: To explore Lebanese nurses' perspectives on the impact of the protracted Syrian refugee (SR) crisis on nurses working in hospitals and primary healthcare centers in Lebanon. DESIGN: A qualitative research design drawing on a semistructured in-depth interview approach. METHODS: We recruited participants through the Order of Nurses in Lebanon. We interviewed six primary healthcare nurses and six nursing directors working in regions with high concentration of SRs. We used the thematic inductive approach to analyze the data. FINDINGS: Two themes emerged. In Theme I, nurses and nursing directors described the SR health profile as poor at baseline, and as the crisis was protracting the type of diseases shifted from acute to chronic with convoluted complications. As for determinants of health, SRs had poor health literacy and poor living conditions. In Theme II, nurses and nursing directors voiced the impact of the SR crisis on nurses, nursing practice, healthcare system, and host community. They cited fatigue, burnout, and depleted compassionate care at the individual level; rationing and stressed interpersonal relationships at the practice level; shortage in resources and poor performance at the healthcare system level; and a shift in the patient population that led the host community to seek health care elsewhere. Alternatively, more money was injected, and new services and clinical programs were introduced. CONCLUSIONS: Lebanese nurses bore a profound burden as a result of the SR crisis. Should this crisis be replicated in other contexts, the important lessons learned encompass (a) increasing access to care to refugees, coupled with an emergency plan to increase human health resources; (b) improving preparedness of nurses in handling priority health conditions; (c) documenting and reporting the challenges and resilience of health workers, especially nurses facing the crisis; and (d) engaging more nurses to be at the policy table. CLINICAL RELEVANCE: There is a need to prepare nurses for efficient response to crisis related to refugee health by increasing human resources and training them to be competent in delivering safe and high-quality care necessary to respond to the special healthcare needs of the refugees.

Agreement assessment of key maternal and newborn data elements between birth registry and Clinical Administrative Hospital Databases in Ontario, Canada.

PURPOSE: Since 2012, BORN Ontario, a maternal-newborn registry, has collected data on every birth in Ontario. To ensure data quality, we assessed the reliability of key elements collected in BORN by comparing these with like data elements in the Canadian Institute for Health Information-Discharge Abstract Database (CIHI-DAD). METHODS: We used provincial health card numbers to deterministically link live or stillbirth records and their corresponding mothers' records in the BORN database to the CIHI-DAD in the fiscal years 2012-2013 to 2014-2015. Percentage agreement and Cohen Kappa statistics were used to assess agreement on main elements in both databases. RESULTS: The percentage agreement and Kappa coefficients were 99.98% and 0.740 (95% CI: 0.677-0.803) on live/stillbirth, respectively. The Kappa coefficients for infant sex, gestational age at birth, induction of labour, and caesarean birth were 0.989 (95% CI: 0.988-0.989), 0.920 (95% CI: 0.919-0.920), 0.782 (95% CI: 0.780-0.785), and 0.995 (95% CI: 0.995-0.996), respectively. Kappa agreement for the number of fetuses in a pregnancy was 0.979 (95% CI: 0.977-0.981). Percentage agreement was very high for infants' birthdates (99.9%), infant postal codes (91.8%), infants' birth weight in grams (95.5%), and mothers' dates of birth (99.1%). CONCLUSIONS: Overall, the BORN and CIHI-DAD databases had concordance on key birth and maternal data elements; however, additional work is needed to understand discrepancies identified.

Structuring ambiguity in hospital governance.

This empirical, multicase research into developing governance structures highlights the strategies of four Dutch hospitals to strengthen their governability. The hospitals studied choose to commit themselves to duality as their starting point for structuring governance arrangements. All of them create positions of doctors and managers that are based on consensual decision making and common responsibility, in this way structuring governance at hospital level and unit level. Interestingly, they consciously choose to create ambiguous positions keeping formalization by rules and job descriptions low. Efficacy of dual hospital governance depends heavily on personal strength, mutual understanding, and trust of the incumbents, which offers new chances for governability but also harbors vulnerability to hospital governance.

Analysis of the technical efficiency of the forms of hospital management based on public-private collaboration of the Madrid Health Service, as compared with traditional management.

FUNDAMENTALS: The study aims to carry out a comparative analysis of the technical efficiency of hospital management based on public-private collaboration, as compared with traditional management. Specifically, we compare traditionally managed public hospitals, public hospitals managed by a private finance initiative (PFI), public hospitals managed through a public-private partnership (PPP), and hospitals managed through other forms of management, during the period 2009 to 2014, in the hospitals dependent on the Madrid Health Service (SERMAS). METHODS: The study covers all publicly owned general hospitals under SERMAS, consisting of seven PFI hospitals, three PPP hospitals, 11 traditionally managed public hospitals (with the category of general hospital), and four hospitals managed through other forms of hospital management. The technical efficiency indices of the hospitals were calculated using the data envelopment analysis technique. Subsequently, a sensitivity analysis was performed by bootstrapping and variation of model variables to verify their impact on efficiency. Finally, an analysis of the evolution of efficiency in the analyzed period was carried out using the Malmquist Index. RESULTS: In all the analysis models carried out in the analyzed period, the hospitals managed based on public-private collaboration were more efficient than the hospitals under traditional management. CONCLUSIONS: The greater efficiency of hospitals managed based on public-private collaboration, as compared with traditional management, could be attributed to greater organizational and management flexibility.

Analysis of the operational risk factors in public hospitals in an Indian state.

PURPOSE: Risk management in the healthcare sector is a highly relevant sub-domain and a crucial research area from the humanitarian perspective. The purpose of this paper is to focus on the managerial/supply chain risk factors experienced by the government hospitals in an Indian state. The present paper analyzes the inter-relationships among the significant risk factors and ranks those risk factors based on their criticality. DESIGN/METHODOLOGY/APPROACH: The current research focuses on 125 public hospitals in an Indian state. Questionnaire-based survey and personal interviews were conducted in the healthcare sector among the inpatients and hospital staff to identify the significant risk factors. An integrated DEMATEL-ISM-PROMETHEE method is adopted to analyze the impact potential and dependence behavior of the risk factors. FINDINGS: The analysis asserts the absence of critical risk factors that have a direct impact on patient safety in the present healthcare system under investigation. However, the results illustrate the remarkable impact potential attributed to the risk factor, namely, staff shortage in inducing other risk factors such as employee attitudinal issues, employee health issues and absenteeism altogether resulting in community mistrust/misbeliefs. Maintenance mismanagement, monsoon time epidemics, physical infrastructure limitations are also found to be significant risk factors that compromise patient satisfaction levels. PRACTICAL IMPLICATIONS: Multiple options are illustrated to mitigate significant risk factors and operational constraints experienced by public hospitals in the state. The study warrants urgent attention from government officials to fill staff vacancies and to improve the infrastructural facilities to match with the increasing demand from the society. Furthermore, this research recommends the hospital authorities to start conducting induction and training programs for the hospital employees to instill the fundamental code of conduct while working in hectic, challenging and even in conditions with limited resources. ORIGINALITY/VALUE: Only limited papers are visible that address the identification and mitigation of risk factors associated with hospitals. The present paper proposes a novel DEMATEL-ISM-PROMETHEE integrated approach to map the inter-relationships among the significant risk factors and to rank those risk factors based on their criticality. Furthermore, the present study discloses the unique setting of the public healthcare system in a developing nation.

Patient safety culture in Hungarian hospitals.

PURPOSE: The Hospital Survey on Patient Safety Culture (HSOPSC) is a rigorously designed tool for measuring inpatient safety culture. The purpose of this paper is to develop a cross-cultural HSOPSC for Hungary and determine its strengths and weaknesses. DESIGN/METHODOLOGY/APPROACH: The original US version was translated and adapted using existing guidelines. Healthcare workers (n=371) including nurses, physicians and other healthcare staff from six Hungarian hospitals participated. Answers were analyzed using exploratory factor analyses and reliability tests. FINDINGS: Positive responses in all dimensions were lower in Hungary than in the USA. Half the participants considered their work area "acceptable" regarding patient safety. Healthcare staff worked in "crisis mode," trying to accomplish too much and too quickly. The authors note that a "blame culture" does not facilitate patient safety improvements in Hungary. PRACTICAL IMPLICATIONS: The results provide valuable information for promoting a more positive patient safety culture in Hungary and for evaluating future strategies to improve patient safety. ORIGINALITY/VALUE: Introducing a validated scale to measure patient safety culture in Hungary improves healthcare quality.

High and Intensive Care in Psychiatry: Validating the HIC Monitor as a Tool for Assessing the Quality of Psychiatric Intensive Care Units.

This study aims to validate the HIC monitor as a model-fidelity scale to the High and Intensive Care (HIC) model, a recently developed model for acute psychiatric wards. To assess the psychometric properties of the HIC monitor, 37 audits were held on closed inpatient wards at 20 psychiatric hospitals in the Netherlands. Interrater reliability, construct validity and content validity were examined. Our results suggest that the HIC monitor has good psychometric properties. It can be used as a tool for assessing the implementation of the HIC model on acute psychiatric wards in the Netherlands, and for quality assessment and improvement.

Self-assessment of health promoting Hospital's activities in the largest heart Hospital of Northwest Iran.

BACKGROUND: Health Promoting Hospitals are among the major health promoters of the society. To acquire Health Promoting Hospital (HPH) status, a hospital must self-assess to know their inadequacies and then lay the foundation for improvements. This study has been performed with the aim of assessing readiness of the largest heart hospital of northwestern Iran regarding the HPH standards. METHODS: This cross-sectional study was conducted through the participation of 270 administrative and clinical staff of the largest heart hospital of northwestern Iran. Data were gathered using self-assessment tool for health promoting hospitals including demographics and the HPH standards. HPH standards' dimensions were Management policy, Patient assessment, Patient information and intervention, Promoting a healthy workplace, and Continuity and cooperation. Analysis was performed by SPSS v. 16 with a significance level of 0.05. RESULTS: The participants included clinical (67.4%) and administrative (32.6%) staff. Among the HPH standards, the lowest score belonged to the management policy (1.44 ± 0.53) and the highest one to the patient information and intervention (1.72 ± 0.47). The average score of compliance with the HPH standards was 1.60 ± 0.40 which shows moderate progress of the hospital towards the HPH standards. CONCLUSION: Regarding the moderate situation of the hospital in HPH standards and the low score of the management policy, the studied hospital should enforce the standards, especially in the management policy. Also, there is a need for health promotion programs in all three levels of prevention with the participation of the staff and the patients as much as possible.

A systematic approach to develop a core set of parameters for boards of directors to govern quality of care in the ICU.

OBJECTIVE: Hospital boards are legally responsible for the quality of care delivered by healthcare professionals in their hospitals, but experience difficulties in overseeing quality and safety risks. This study aimed to select a core set of parameters for boards to govern quality of care in the intensive care unit (ICU). DESIGN: Two-round Delphi study. SETTING: Two university hospitals in the Netherlands. PARTICIPANTS: An expert panel of 12 former ICU patients or their family members, 12 ICU nurses, 12 ICU physicians and 12 members of boards of directors and quality managers. MAIN OUTCOME MEASURES: Participants indicated the relevance of existing parameters for assessing the quality of ICU care for governance purposes (round 1) and selected 10 quality parameters that together provide boards of directors with a good representation of quality of care in their ICU (round 2). RESULTS: We identified 122 quality parameters related to care in the ICU, which we limited to a short list to present to participants in round 1. The response rate was 94% in round 1 and 85% in round 2. The final set consisted of the 10 most frequently selected quality parameters per hospital. Five parameters were included in both sets; all related to patient safety and continuous quality improvement. CONCLUSIONS: Parameters in the core set were mostly qualitative and generic, rather than quantitative and ICU-specific in nature. To engage in a true dialog about quality of care, boards are more interested in the story behind the numbers than in just the numbers themselves.

Implementing a Statewide Safe to Sleep Hospital Initiative: Lessons Learned.

Sleep-related infant deaths continue to be a major, largely preventable cause of infant mortality, especially in Georgia. The Georgia Department of Public Health (DPH), as part of a multi-pronged safe infant sleep campaign, implemented a hospital initiative to (1) provide accurate safe infant sleep information to hospital personnel; (2) support hospitals in implementing and modeling safe sleep practices; and (3) provide guidance on addressing caregiver safe sleep concerns. A process evaluation was conducted to determine progress toward four goals set out by DPH: (1) all birthing hospitals have a safe infant sleep policy; (2) all safe infant sleep policies reference the AAP 2011 recommendations; (3) all safe infant sleep policies specify the type and/or content of patient safe sleep education; and (4) all hospitals require regular staff training on safe sleep recommendations. Data were collected via structured interviews and document review of crib audit data and safe sleep policies. All 79 birthing hospitals in the state participated in the statewide campaign. Prior to the initiative, 44.3% of hospitals had a safe sleep policy in place; currently, 87.3% have a policy in place. The majority (91.4%) of hospitals have provided safe sleep training to their staff at this time. Important lessons include: (1) Engagement is vital to success; (2) A comprehensive implementation guide is critical; (3) Piloting the program provides opportunities for refinement; (4) Ongoing support addresses barriers; and (5) Senior leadership facilitates success.