Assessing the properties of patient-specific treatment effect estimates from causal forest algorithms under essential heterogeneity.

BACKGROUND: Treatment variation from observational data has been used to estimate patient-specific treatment effects. Causal Forest Algorithms (CFAs) developed for this task have unknown properties when treatment effect heterogeneity from unmeasured patient factors influences treatment choice - essential heterogeneity. METHODS: We simulated eleven populations with identical treatment effect distributions based on patient factors. The populations varied in the extent that treatment effect heterogeneity influenced treatment choice. We used the generalized random forest application (CFA-GRF) to estimate patient-specific treatment effects for each population. Average differences between true and estimated effects for patient subsets were evaluated. RESULTS: CFA-GRF performed well across the population when treatment effect heterogeneity did not influence treatment choice. Under essential heterogeneity, however, CFA-GRF yielded treatment effect estimates that reflected true treatment effects only for treated patients and were on average greater than true treatment effects for untreated patients. CONCLUSIONS: Patient-specific estimates produced by CFAs are sensitive to why patients in real-world practice make different treatment choices. Researchers using CFAs should develop conceptual frameworks of treatment choice prior to estimation to guide estimate interpretation ex post.

Severe maternal morbidity by race and ethnicity before vs. during the COVID-19 pandemic.

PURPOSE: To examine the change in racial disparity in severe maternal morbidity (SMM) during the COVID-19 pandemic and the associations between SARS-CoV-2 infection and SMM. METHODS: This retrospective cohort study used linked databases of all livebirths delivered between 2018 and 2021 in South Carolina (n = 162,576). Exposures were 1) pre-pandemic and pandemic periods (before vs. March 2020 onwards); 2) SARS-CoV-2 infection, severity, and timing of first infection. Log-binomial regression models were used. RESULTS: SMM rate was higher among pandemic childbirths than pre-pandemic period (p = 0.06). The risk of SMM among Hispanics was doubled from pre-pandemic to pandemic periods (adjusted relative risk (aRR)= 2.50, 95% CI: 1.27, 4.94). During pre-pandemic, compared to White women, Black women (aRR=1.37, 95% CI: 1.14-1.64), while Hispanics had lower risk of SMM (aRR=0.42, 95% CI: 0.24-0.73). During the pandemic, the Black-White difference in the risk of SMM persisted (aRR=1.24, 95% CI: 1.00-1.54) and Hispanic-White difference in SMM risk became insignificant (aRR=0.85, 95% CI: 0.54-1.34). SARS-CoV-2 infection, its severity, and the late diagnosis were associated with 1.78-5.06 times higher risk of SMM. CONCLUSIONS: During pandemic, Black-White racial disparity in SMM persisted but the relative pre-pandemic advantage in SMM among Hispanic women over White women disappeared during the pandemic.

Early Prediction of COVID-19 Associated Hospitalization at the Time of CDC Contact Tracing using Machine Learning: Towards Pandemic Preparedness.

Objective: To develop and validate machine learning models for predicting COVID-19 related hospitalization as early as CDC contact tracing using integrated CDC contact tracing and South Carolina medical claims data. Methods: Using the dataset (n=82,073, 1/1/2018 - 3/1/2020), we identified 3,305 patients with COVID-19 and were captured by contact tracing. We developed and validated machine learning models (i.e., support vector machine, random forest, XGboost), followed by multi-level validations and pilot statewide implementation. Results: Using 10-cross validation, random forest outperformed other models (F1=0.872 for general hospitalization and 0.763 for COVID-19 related hospitalization), followed by XGBoost (F1=0.845 and 0.682) and support vector machine (F1=0.845 and 0.644). We identified new self-reported symptoms from contact tracing (e.g., fatigue, congestion, headache, loss of taste) that are highly predictive of hospitalization. Conclusions: Our study demonstrated the feasibility of identifying individuals at risk of hospitalization at the time of contact tracing for early intervention and prevention. Policy implications: Our findings demonstrate existing promise for leveraging CDC contact tracing for establishing a cost-effective statewide surveillance and generalizability for nationwide adoption for enhancing pandemic preparedness in the US.

Risk for stillbirth among pregnant individuals with SARS-CoV-2 infection varied by gestational age.

BACKGROUND: Despite previous research findings on higher risks of stillbirth among pregnant individuals with SARS-CoV-2 infection, it is unclear whether the gestational timing of viral infection modulates this risk. OBJECTIVE: This study aimed to examine the association between timing of SARS-CoV-2 infection during pregnancy and risk of stillbirth. STUDY DESIGN: This retrospective cohort study used multilevel logistic regression analyses of nationwide electronic health records in the United States. Data were from 75 healthcare systems and institutes across 50 states. A total of 191,403 pregnancies of 190,738 individuals of reproductive age (15-49 years) who had childbirth between March 1, 2020 and May 31, 2021 were identified and included. The main outcome was stillbirth at ≥20 weeks of gestation. Exposures were the timing of SARS-CoV-2 infection: early pregnancy (<20 weeks), midpregnancy (21-27 weeks), the third trimester (28-43 weeks), any time before delivery, and never infected (reference). RESULTS: We identified 2342 (1.3%) pregnancies with COVID-19 in early pregnancy, 2075 (1.2%) in midpregnancy, and 12,697 (6.9%) in the third trimester. After adjusting for maternal and clinical characteristics, increased odds of stillbirth were observed among pregnant individuals with SARS-CoV-2 infection only in early pregnancy (odds ratio, 1.75, 95% confidence interval, 1.25-2.46) and midpregnancy (odds ratio, 2.09; 95% confidence interval, 1.49-2.93), as opposed to pregnant individuals who were never infected. Older age, Black race, hypertension, acute respiratory distress syndrome or acute respiratory failure, and placental abruption were found to be consistently associated with stillbirth across different trimesters. CONCLUSION: Increased risk of stillbirth was associated with COVID-19 only when pregnant individuals were infected during early and midpregnancy, and not at any time before the delivery or during the third trimester, suggesting the potential vulnerability of the fetus to SARS-CoV-2 infection in early pregnancy. Our findings underscore the importance of proactive COVID-19 prevention and timely medical intervention for individuals infected with SARS-CoV-2 during early and midpregnancy.

Multilevel determinants of racial/ethnic disparities in severe maternal morbidity and mortality in the context of the COVID-19 pandemic in the USA: protocol for a concurrent triangulation, mixed-methods study.

INTRODUCTION: The COVID-19 pandemic has affected communities of colour the hardest. Non-Hispanic black and Hispanic pregnant women appear to have disproportionate SARS-CoV-2 infection and death rates. METHODS AND ANALYSIS: We will use the socioecological framework and employ a concurrent triangulation, mixed-methods study design to achieve three specific aims: (1) examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in severe maternal morbidity and mortality (SMMM); (2) explore how social contexts (eg, racial/ethnic residential segregation) have contributed to the widening of racial/ethnic disparities in SMMM during the pandemic and identify distinct mediating pathways through maternity care and mental health; and (3) determine the role of social contextual factors on racial/ethnic disparities in pregnancy-related morbidities using machine learning algorithms. We will leverage an existing South Carolina COVID-19 Cohort by creating a pregnancy cohort that links COVID-19 testing data, electronic health records (EHRs), vital records data, healthcare utilisation data and billing data for all births in South Carolina (SC) between 2018 and 2021 (>200 000 births). We will also conduct similar analyses using EHR data from the National COVID-19 Cohort Collaborative including >270 000 women who had a childbirth between 2018 and 2021 in the USA. We will use a convergent parallel design which includes a quantitative analysis of data from the 2018-2021 SC Pregnancy Risk Assessment and Monitoring System (unweighted n>2000) and in-depth interviews of 40 postpartum women and 10 maternal care providers to identify distinct mediating pathways. ETHICS AND DISSEMINATION: The study was approved by institutional review boards at the University of SC (Pro00115169) and the SC Department of Health and Environmental Control (DHEC IRB.21-030). Informed consent will be provided by the participants in the in-depth interviews. Study findings will be disseminated with key stakeholders including patients, presented at academic conferences and published in peer-reviewed journals.

Impact of Provider Prior Use of HIE on System Complexity, Performance, Patient Care, Quality and System Concerns.

To date, most HIE studies have investigated user perceptions of value prior to use. Few studies have assessed factors associated with the value of HIE through its actual use. This study investigates provider perceptions on HIE comparing those who had prior experience vs those who had no experience with it. In so doing, we identify six constructs: prior use, system complexity, system concerns, public/population health, care delivery, and provider performance. This study uses a mixed methods approach to data collection. From 15 interviews of medical community leaders, a survey was constructed and administered to 263 clinicians. Descriptive statistics and analysis of variance was used, along with Tukey HSD tests for multiple comparisons. Results indicated providers whom previously used HIE had more positive perceptions about its benefits in terms of system complexity (p = .001), care delivery (p = .000), population health (p = .003), and provider performance (p = .005); women providers were more positive in terms of system concerns (p = .000); patient care (p = .031), and population health (p = .009); providers age 44-55 were more positive than older and younger groups in terms of patient care (p = .032), population health (p = .021), and provider performance (p = .014); while differences also existed across professional license groups (physician, nurse, other license, admin (no license)) for all five constructs (p < .05); and type of organization setting (hospital, ambulatory clinic, medical office, other) for three constructs including system concerns (p = .017), population health (p = .018), and provider performance (p = .018). There were no statistically significant differences found between groups based on a provider's role in an organization (patient care, administration, teaching/research, other). Different provider perspectives about the value derived from HIE use exist depending on prior experience with HIE, age, gender, license (physician, nurse, other license, admin (no license)), and type of organization setting (hospital, ambulatory clinic, medical office, other). This study draws from the theory of planned behavior to understand factors related to physicians' perceptions about HIE value, serving as a departure point for more detailed investigations of provider perceptions and behavior in regard to future HIE use and promoting interoperability.

Youth in Foster Care and the Reasonable and Prudent Parenting Standard.

Children in foster care face disproportionate rates of biopsychosocial challenges but social and extracurricular activities (SEAs) may support their healthy development. The Reasonable and Prudent Parenting Standard (RPPS), a 2014 federal policy, aims to increase access to these opportunities for children in foster care. Analyses of statutes from 50 US states and the District of Columbia (n = 51) revealed similarities and differences in state-level RPPS policy implementation. Building on these findings, researchers conducted semi-structured retrospective telephone interviews with foster parents across one southeastern state (n = 20) to identify local retrospective perspectives on RPPS implementation. Using thematic inductive coding two unique themes emerged about SEAs prior to RPPS: 1) negative social impacts and 2) complicated activity approval processes. Three unique themes emerged after RPPS: 1) empowerment, 2) implementation disparities and 3) resource recommendations. Policy implications include the need to support foster parents by increasing resources (funding, transportation, access), clarifying liability and clarifying motivation expectations.

Integrated Digital Patient Education at the Bedside for Patients with Chronic Conditions: Observational Study.

BACKGROUND: Patient education delivered by a health care provider increases patients' understanding and adherence to medical instructions, which helps to improve patient health. Multiple challenges exist to delivering effective patient education to patients with multiple chronic conditions, including giving the necessary time, range, and types of learning materials, and assessing the level of understanding. To help overcome these challenges, it is important to study new electronic means to assist in patient education, such as the use of mobile devices, interactive media, 3-dimensional images, and multimedia educational content at the bedside. OBJECTIVE: The goal of this study was to address the need for blended learning strategies combining technical and workflow integration of digital patient education systems for patients with chronic conditions within and across the regular process of care. Studies are needed to evaluate the utility and benefits of these technologies for providers and patients alike. METHODS: A mixed-methods approach was employed including survey administration to 178 patients after they received digital patient education in person with a health care provider, and qualitative interviews with 16 nurse educators who used the mobile digital health education technology to deliver instruction to patients. Patient survey data were analyzed using chi-square statistical tests. Qualitative interviews were analyzed for user acceptance and perceived value themes. RESULTS: Patients who were counseled using a blended digital health education approach reported improved understanding of educational content (P=.034) and chronic health conditions (P<.001), were more motivated to care for themselves at home (P<.001), were more likely to say that they felt capable of making health care decisions with their doctors (P<.001) and on their own (P=.001), and were more likely to report their intention to follow their doctor's instructions (P<.001) than were patients whose education was not computer-based. Nurse educators felt that the digital education system and content enhanced their education efforts and could be easily integrated into the outpatient clinical workflow. CONCLUSIONS: Patient education for individuals with chronic conditions may be more effective than traditional formats when provided in blended digital formats supervised by a health care provider.

Factors Affecting Life Satisfaction of Older Adults in Turkey.

This study aimed to examine the determinants of life satisfaction of older adults in Turkey. The sample consisted of 2,959 older adults over 65 years. The effects of psychological, daily life and instrumental activity, physical health and health status, and other important variables on life satisfaction were analyzed. The variables lessening life satisfaction for older adults included poverty, a lower self-reported health status, a decline in physical health, ability to chew, ability to do household activities, and an increase in feelings of depression and feeling social withdrawn. In contrast, being married, having a higher education level, and having an income-generating work increased life satisfaction among older adults. This study suggests the necessity of developing local and national policies that enable older adults to become more active in their communities. These policies should be coordinated under the framework of national aging policies that bridge health, social, and economic issues.

Tale of Two Erythropoiesis-Stimulating Agents: Utilization, Dosing, Litigation, and Costs of Darbepoetin and Epoetin Among South Carolina Medicaid-Covered Patients With Cancer and Chemotherapy-Induced Anemia.

PURPOSE: The US Food and Drug Administration (FDA) has approved epoetin and darbepoetin for chemotherapy-induced anemia (CIA). Approved epoetin and darbepoetin dosing schedules were three times per week and weekly, respectively, although off-label, less frequent scheduling was common. In 2004, 2007, and 2008, a US Food and Drug Administration Advisory Committees warned of risks associated with erythropoiesis-stimulating agents. During this period, lawsuits alleging illegal darbepoetin marketing practices have concluded, resulting in $1.1 billion in fines and settlements and one criminal conviction. No prior study, to our knowledge, has reported on the use of darbepoetin versus epoetin for CIA. METHODS: We evaluated the dosing, utilization, and costs of erythropoiesis-stimulating agents among 3,761 South Carolina Medicaid patients with CIA. RESULTS: Epoetin and darbepoetin utilization rates were 22% and 28% in 2003, 10% and 33% in 2007, and 3% and 7% in 2010, respectively. Mean per-patient per-administration epoetin and darbepoetin doses were 40,983 IU and 191 µg, respectively, in 2003 and 47,753 IU and 369 µg, respectively, in 2010. Mean monthly patient costs for epoetin and darbepoetin were $1,030 and $981, respectively, in 2003 and $932 and $1,352, respectively, in 2010. Epoetin use decreased steadily between 2002 and 2010; darbepoetin use increased steadily between 2003 and 2007 and then decreased steadily thereafter. Per-patient dosing of darbepoetin, but not epoetin, increased steadily between 2003 and 2010, and monthly per-patient epoetin costs decreased 3% while the per-patients costs of darbepoetin increased 30% between 2003 and 2010. CONCLUSION: To our knowledge, our findings are the first data reporting on epoetin versus darbepoetin use for CIA and support recently concluded lawsuits involving allegations of illegal marketing practices of the manufacturer of darbepoetin.

An analysis of the relationship between burnout, socio-demographic and workplace factors and job satisfaction among emergency department health professionals.

INTRODUCTION: Burnout among emergency medical practitioners and personnel negatively affects career satisfaction and job performance and can lead to mental health issues, including anxiety, depression, and suicide. PURPOSE: This study investigated the relationship between the perceptions of burnout and job satisfaction of those working in two different hospital's emergency departments assessing the effect of burnout dimensions and additional factors (age, position, marital status, annual income, employment type, gender, patient encounters, and household economic well-being) on job satisfaction. This study addresses a gap in the literature of the relationships between a) burnout and job satisfaction of emergency department's health care personnel (physicians, nurses, technicians) and b) the factors that are associated with emergency department employees' job satisfaction. METHOD: A cross-sectional survey of two hundred and fifty participants was interviewed, using validated instruments (the Maslach Burnout Scale and the Minnesota Satisfaction Questionnaire). Participants include 38 physicians, 89 nurses, and 84 medical technicians, and 39 information technicians. The Maslach Burnout Inventory Scale, which assesses emotional exhaustion (EE), depersonalization (DP) and personal accomplishment (PA), and the Minnesota Satisfaction Questionnaire (MSQ), which assesses intrinsic satisfaction (IS), extrinsic satisfaction (ES) and overall satisfaction (OS), were used for data collection. RESULTS: Study findings indicate that significant relationship exists between burnout and job satisfaction; annual income and household economic-well-being had a positive association with job satisfaction, whereas gender, age, education, marital status had no significant effect on any form of satisfaction. Moreover, this study reveals that emotional exhaustion (EE) is a significant predictor of all three dimensions of job satisfaction while depersonalization (DP) had no significant showing. CONCLUSION: Results of this study suggest that it is not yet clear which factors are salient contributors in demonstrating the relationship between burnout and job satisfaction. This study may draw attention to a better understanding of this relationship will help enable health care administrators to design and implement tools to help increase job satisfaction and decrease burnout as a combined goal rather than treat each issue separately.

Patient companions in the Turkish healthcare system: the role, expectations and problems.

The purpose of this study was to determine the roles, expectations and problems of patient companions and to develop solutions to the difficulties encountered by the nurses, patients and their companions. A qualitative approach with semi-structured face-to-face interviews was used during May and June 2014 to collect data. A convenience sample of participants was selected from the nurses, patients and their companions. Content analysis was used for the data. The results of this study revealed that the need for companions is important to the current Turkish healthcare system, but it has many drawbacks. As companions are witness to a patient's declining health and family, social and financial problems, their role should be to support their patients emotionally or socially, but they should not perform medical tasks. Therefore, the agencies responsible for managing the use of patient companions should regularly review its function by communicating often with the patients and their caregivers. Open communication between patient companions and all those responsible for patient care could improve the present difficulties which exist.

Achieving value for money in health: a comparative analysis of OECD countries and regional countries.

OBJECTIVE: To measure efficiency gains in health sector over the years 1995 to 2013 in OECD, EU, non-member European countries. METHODS: An output-oriented DEA model with variable return to scale, and residuals estimated by regression equations were used to estimate efficiencies of health systems. Slacks for health care outputs and inputs were calculated by using DEA multistage method of estimating country efficiency scores. RESULTS: Better health outcomes of countries were related with higher efficiency. Japan, France, or Sweden were found to be peer-efficient countries when compared to other developed countries like Germany and United States. Increasing life expectancy beyond a certain high level becomes very difficult to achieve. Despite declining marginal productivity of inputs on health outcomes, some developed countries and developing countries were found to have lowered their inefficiencies in the use of health inputs. Although there was no systematic relationship between political system of countries and health system efficiency, the objectives of countries on social and health policy and the way of achieving these objectives might be a factor increasing the efficiency of health systems. CONCLUSIONS: Economic and political stability might be as important as health expenditure in improving health system goals. A better understanding of the value created by health expenditures, especially in developed countries, will require analysis of specific health interventions that can increase value for money in health. Copyright © 2016 John Wiley & Sons, Ltd.

Evaluation of patient wristbands and patient identification process in a training hospital in Turkey.

Purpose The purpose of this paper is to evaluate the utilisation of patient wristbands (PWs) and patient identification (PI) process in a training hospital in Ankara, Turkey. Design/methodology/approach This descriptive and cross-sectional study was conducted in a training hospital with 640 beds, accreditied by Joint Commission International. The views of 348 patients and 419 hospital personnel on the implementation of patient wristbands and identification process were evaluated. Findings The results indicated that lack of information among patients about the importance of PWs and the misknowledge among staff participants on when, where, and by whom PWs should be put on and verified were the weakest points in this hospital. Research limitations/implications PI process must be strictly implemented according to the standard procedures of patient safety. Both patients and hospital personnel should be trained continuously, and training sessions must be held to increase their awareness about the importance of PWs and identification process. Practical implications Finding new ways and using new methods for increasing knowledge about PI and PWs are necessary. Hospital management should prepare a written PI and PW policy and procedure documents by taking the views of patients and hospital personnel and share these with them. Originality/value This study incorporates the views and attitudes of patients and health care personnel in improving health care quality by increasing awareness about PI and wristbands.

Comparing Burnout Across Emergency Physicians, Nurses, Technicians, and Health Information Technicians Working for the Same Organization.

Studies on the topic of burnout measure the effects of emotional exhaustion (EE), depersonalization (DP) (negative or cynical attitudes toward work), and reduced sense of personal accomplishment (PA). While the prevalence of burnout in practicing emergency medicine (EM) professionals has been studied, little is known of the prevalence and factors across physicians, nurses, technicians, and health information technicians working for the same institution. The aim of this study was to assess burnout differences across EM professional types.The total population of 250 EM professionals at 2 public urban hospitals in Turkey were surveyed using the Maslach Burnout Inventory and basic social- and work-related demographics. Descriptive statistics, ANOVA, and additional post hoc tests were computed.Findings show that EE and DP scores were high across all occupational groups, while scores on PA were low. There was a statistically significant difference between nurses and medical technicians (P < 0.05) for EE; and between physicians and both nurses and medical technicians (P < 0.05) for PA; while no group differences were found for DP. Age, gender, economic well-being, and income level were all significant; while patient load and marital status showed no significance.Burnout can be high across occupational groups in the emergency department. Burnout is important for EM administrators to assess across human resources. Statistically significant differences across socio-demographic groups vary across occupational groups. However, differences between occupational groups may not be explained effectively by the demographic factors assessed in this or other prior studies. Rather, the factors associated with burnout are incomplete and require further institutional, cultural, and organizational analyses including differentiating between job tasks carried out by each EM job type.

Impacts of mobile tablet computing on provider productivity, communications, and the process of care.

OBJECTIVE: Health information technology investments continue to increase while the value derived from their implementation and use is mixed. Mobile device adoption into practice is a recent trend that has increased dramatically and formal studies are needed to investigate consequent benefits and challenges. The objective of this study is to evaluate practitioner perceptions of improvements in productivity, provider-patient communications, care provision, technology usability and other outcomes following the adoption and use of a tablet computer connected to electronic health information resources. METHODS: A pilot program was initiated in June 2013 to evaluate the effect of mobile tablet computers at one health provider organization in the southeast United States. Providers were asked to volunteer for the evaluation and were each given a mobile tablet computer. A total of 42 inpatient and outpatient providers were interviewed in 2015 using a survey style questionnaire that utilized yes/no, Likert-style, and open ended questions. Each had previously used an electronic health record (EHR) system a minimum of one year outside of residency, and were regular users of personal mobile devices. Each used a mobile tablet computer in the context of their practice connected to the health system EHR. RESULTS: The survey results indicate that more than half of providers perceive the use of the tablet device as having a positive effect on patient communications, patient education, patient's perception of the provider, time spent interacting with patients, provider productivity, process of care, satisfaction with EHR when used together with the device, and care provision. Providers also reported feeling comfortable using the device (82.9%), would recommend the device to colleagues (69.2%), did not experience increased information security and privacy concerns (95%), and noted significant reductions in EHR login times (64.1%). Less than 25% of participants reported negative impacts on any of these areas as well as on time spent on order submission, note completion time, overall workload, patient satisfaction with care experience and patient outcomes. Gender, number of years in practice, practice type (general practitioner vs. specialist), and service type (inpatient/outpatient) were found to have a significant effect on perceptions of patient satisfaction, care process, and provider productivity. CONCLUSIONS: Providers found positive gains from utilizing mobile devices in overall productivity, improved communications with their patients, the process of care, and technology efficiencies when used in combination with EHR and other health information resources. Demographic and health care work environment play a role in how mobile technologies are integrated into practice by providers.

An analysis of relationships among transformational leadership, job satisfaction, organizational commitment and organizational trust in two Turkish hospitals.

The purpose of this study was to investigate the relationships among employee organizational commitment, organizational trust, job satisfaction and employees' perceptions of their immediate supervisors' transformational leadership behaviors in Turkey. First, this study examined the relationships among organizational commitment, organizational trust, job satisfaction and transformational leadership in two Turkish public hospitals. Second, this investigation examined how job satisfaction, organizational trust and transformational leadership affect organizational commitment. Moreover, it was aimed to investigate how organizational commitment, job satisfaction and transformational leadership affect organizational trust. A quantitative, cross-sectional method, self-administered questionnaire was used for this study. Eight hundred four employees from two public hospitals in Turkey were recruited for collecting data. The overall response rate was 38.14%. The measurement instruments of survey were the Job Satisfaction Survey (developed by P. Spector), the Organizational Commitment Questionnaire (developed by J. Meyer and N. Allen), the Organizational Trust Inventory-short form (developed by L. Cummings and P. Bromiley) and the Transformational Leadership Inventory (TLI) (developed by P. M. Podsakoff). Five-point Likert scales were used in these measurement instruments. Correlation test (the Pearson's rank test) was used to examine relationships between variables. Also, multiple regression analysis was used to determine the regressors for organizational commitment and organizational trust. There were significant relationships among overall job satisfaction, overall transformational leadership and organizational trust. Regression analyses showed that organizational trust and two job satisfaction dimensions (contingent rewards and communication) were significant predictors for organizational commitment. It was found that one transformational leadership dimension (articulating a vision), two job satisfaction dimensions (pay and supervision) and two organizational commitment dimensions (affective commitment and normative commitment) were significant regressors for organizational trust. There is a lack of research in the health organizations regarding organizational commitment, organizational trust, job satisfaction and transformational leadership. The investigator of the proposed study intends to add to the literature and intends to prove that the proposed study would be important for healthcare organizations. A number of specific measures should be undertaken to reduce factors that negatively affect organizational commitment, organizational trust and job satisfaction of hospital personnel and to improve transformational leadership behaviors of hospital administrators.

The relationship between local hospital IT capabilities and physician EMR adoption.

In light of new federal policies allowing hospitals to subsidize the cost of information systems for physicians, we examine the relationship between local hospital investments in information technology (IT) and physician EMR adoption. Data from two Florida surveys were combined with secondary data from the State of Florida and the Area Resource File (ARF). Hierarchal logistic regression was used to examine the effect of hospital adoption of clinical information systems on physician adoption of EMR systems after controlling for confounders. In multivariate analysis, each additional clinical IT application adopted by a local hospital was associated with an 8% increase in the odds of EMR adoption by physicians practicing in that county. Given this existing relationship between hospital IT capabilities and physician adoption patterns, federal policies designed to encourage this more directly will positively promote the proliferation of EMR systems.

The role of organizational factors in the adoption of healthcare information technology in Florida hospitals.

This study examines whether specific organizational characteristics, such as hospital size, geographic location (urban versus rural), system membership (stand-alone versus system-affiliated), and tax status (for-profit versus non-profit), influence adoption of healthcare information technologies (HIT) in hospitals. We hypothesize the above organizational characteristics to be related to hospitals' adoption of clinical, administrative, and strategic HIT, as well as all HIT in general. Using survey data collected from 98 Florida hospitals, we demonstrate that hospital size, system membership, and tax status, but not geographic location, are systematically related to HIT adoption, and that such factors explain about 28-41% of the adoption variance. A mixed pattern of effects emerge for clinical, administrative, and strategic HIT. For instance, hospital size appears to be less relevant for administrative HIT, where its effect is compensated by those of system membership and tax status. Implications for future HIT research and practice are discussed.

The effect of payer mix on the adoption of information technologies by hospitals.

BACKGROUND: Numerous studies have examined the relationship between organization characteristics and hospital adoption of information technology (IT). However, no known study has examined whether patient characteristics of those treated at a given hospital influences the decision to adopt IT. PURPOSE: The present study combines primary and secondary data to examine the effect of payer mix (the combination of payers that make up a given hospital's patient discharges) on IT adoption in hospitals. METHODS: Survey data from Florida hospitals were combined with the state's hospital discharge database. Multiple regression analyses were used to analyze the data. RESULTS: When examining Medicare, Medicaid, traditional commercial insurance, and managed-care plans, only an increase of managed-care patients, as a percentage of hospital discharges, was associated with a significant increased likelihood to adopt clinical and administrative IT applications by hospitals. PRACTICE IMPLICATIONS: Our results suggest that increasing cost pressures associated with managed-care environments are driving hospitals' adoption of clinical and administrative IT systems as such adoption is expected to improve hospital efficiency and lower costs. Given that such cost pressures are also emergent in Medicare, Medicaid, and traditional third-party payment environments, an opportunity exists for these parties to motivate hospital IT adoption as a means for cost reduction.