Implementation of VA care coordination program to improve transitional care for veterans post-non-VA hospital discharge: an incremental cost analysis.

BACKGROUND: The Veterans Affairs (VA) Healthcare System Community Hospital Transitions Program (CHTP) was implemented as a nurse-led intervention to reduce barriers that patients experience when transitioning from community hospitals to VA primary care settings. A previous analysis indicated that veterans who enrolled in CHTP received timely follow-up care and communications that improved care coordination, but did not examine cost implications for the VA. METHODS: A budget impact analysis used the VA (payer) perspective. CHTP implementation team members and study records identified key resources required to initially implement and run the CHTP. Statistical analysis of program participants and matched controls at two study sites was used to estimate incremental VA primary care costs per veteran. Using combined program implementation, operations, and healthcare cost estimates to guide key model assumptions, overall CHTP costs were estimated for a 5-year time horizon, including a discount rate of 3%, annual inflation of 2.5%, and a sensitivity analysis that considered two options for staffing the program at VA Medical Center (VAMC) sites. RESULTS: Implementation at two VAMCs required 3 months, including central program support and site-level onboarding, with costs of $34,094 (range: $25,355-$51,602), which included direct and indirect resource costs of personnel time, materials, space, and equipment. Subsequent annual costs to run the program at each site depended heavily on the staffing mix and caseload of veterans, with a baseline estimate of $193,802 to $264,868. Patients enrolled in CHTP had post-hospitalization VA primary care costs that were higher than matched controls. Over 5 years, CHTP sites staffed to serve 25-30 veterans per full-time equivalent transition team member per month had an estimated budget impact of $625 per veteran served if the transitional team included a medical social worker to support veterans with more social behavioral needs and less complex medical cases or $815 per veteran if nurses served all cases. CONCLUSIONS: Evidence-based care coordination programs that support patients' return to VA primary care after a community hospital stay are feasible to implement and run. Further, flexibility in staffing this type of program is increasingly relevant as the VA and other healthcare systems consider methods to reduce provider burnout, optimize staffing, reduce costs, and address other staffing challenges while improving patient care.

Long-Term Care Planning, Preparedness, and Response Among Rural Long-Term Care Providers.

OBJECTIVE: Rural Long-term Care (LTC) providers face unique challenges when planning, preparing for, and responding to disasters. We sought to better understand challenges and identify best practices for LTC in rural areas. METHODS: Case studies including key informant interviews and site visits were conducted with LTC staff and emergency planning, preparedness, and response partners in three rural communities. Themes were identified across sites using inductive coding. RESULTS: Communication across disaster phases continues to be a challenge for LTC providers in rural communities for all disaster types. Communication challenges limit LTC providers' ability to address patient needs during emergencies and limit the resilience of providers and patients to future disasters. Limited coordination among local leadership and LTC providers prevents dissemination of information, resources, and services, and slows response and recovery time. Including LTC providers as stakeholders in planning and exercises may improve communication and coordination. CONCLUSION: More than two decades into efforts to increase preparedness of health care systems to all hazards, rural LTC facilities still face challenges related to communication and coordination. Agencies at the federal, state, and local level should include input from rural LTC stakeholders to address gaps in communication and coordination and increase their disaster resilience.

Comparing Primary Health-Care Service Delivery Disruptions Across Disasters.

OBJECTIVE: The aim of this study was to compare primary care appointment disruptions around Hurricanes Ike (2008) and Harvey (2017) and identify patterns that indicate differing continuity of primary care or care systems across events. METHODS: Primary care appointment records covering 5 wk before and after each storm were identified for Veterans Health Affairs (VA) facilities in the greater Houston and surrounding areas and a comparison group of VA facilities located elsewhere. Appointment disposition percentages were compared within and across storm events to assess care disruptions. RESULTS: For Hurricane Harvey, 14% of primary care appointments were completed during the week of landfall (vs 33% for Hurricane Ike and 69% in comparison clinics), and 49% were completed the following week (vs 58% for Hurricane Ike and 71% for comparison clinics). By the second week after Hurricane Ike and third week after Harvey, the scheduled appointment completion percentage returned to prestorm levels of approximately 60%. CONCLUSIONS: There were greater and more persistent care disruptions for Hurricane Harvey relative to Hurricane Ike. As catastrophic emergencies including major natural disasters and infectious disease pandemics become a more recognized threat to primary and preventive care delivery, health-care systems should consider implementing strategies to monitor and ensure primary care appointment continuity.

COVID-19: Short term prediction model using daily incidence data.

BACKGROUND: Prediction of the dynamics of new SARS-CoV-2 infections during the current COVID-19 pandemic is critical for public health planning of efficient health care allocation and monitoring the effects of policy interventions. We describe a new approach that forecasts the number of incident cases in the near future given past occurrences using only a small number of assumptions. METHODS: Our approach to forecasting future COVID-19 cases involves 1) modeling the observed incidence cases using a Poisson distribution for the daily incidence number, and a gamma distribution for the series interval; 2) estimating the effective reproduction number assuming its value stays constant during a short time interval; and 3) drawing future incidence cases from their posterior distributions, assuming that the current transmission rate will stay the same, or change by a certain degree. RESULTS: We apply our method to predicting the number of new COVID-19 cases in a single state in the U.S. and for a subset of counties within the state to demonstrate the utility of this method at varying scales of prediction. Our method produces reasonably accurate results when the effective reproduction number is distributed similarly in the future as in the past. Large deviations from the predicted results can imply that a change in policy or some other factors have occurred that have dramatically altered the disease transmission over time. CONCLUSION: We presented a modelling approach that we believe can be easily adopted by others, and immediately useful for local or state planning.

Traumatic Brain Injury Related Hospitalizations: Factors Associated with In-hospital Mortality among Elderly Patients Hospitalized with a TBI.

Background: This study aims to describe TBI-related hospitalizations for the whole population and identify factors associated with in-hospital mortality among elderly (≥65 years) patients hospitalized with TBI in Texas.Methods: Using Texas Hospital Discharge Data from 2012 to 2014, TBI-related hospitalizations were identified using International Classification of Diseases - Ninth Revision - Clinical Modification (ICD-9-CM) codes. Rates for age and gender were estimated using U.S. Census data. Univariate and multivariate analyses were used to identify factors associated with in-hospital mortality among those aged at least 65 years.Results: There were 51,419 TBI-related hospitalizations from 2012 to 2014 in Texas. Falls were the leading cause of TBI-related hospitalizations 6235 (36.64%), 6595 (38.40%), and 5412 (37.59%) for 2012, 2013, and 2014, respectively. Males had higher rates of hospitalizations while rates were highest for those above 80 years of age. Compared to Whites, Hispanics had 1.18 higher adjusted odds of in-hospital mortality [OR = 1.18: 95% CI (1.01-1.40)]. Similarly, adjusted odds of in-hospital mortality were higher among males [OR = 1.55: 95% CI (1.36-1.77)].Conclusion: This study provided evidence of demographic disparities in the burden and outcome of TBI in Texas, findings could serve as a foundation for targeted TBI prevention interventions.

Effect of Telehealth Extended Care for Maintenance of Weight Loss in Rural US Communities: A Randomized Clinical Trial.

Importance: Lifestyle interventions for obesity produce reductions in body weight that can decrease risk for diabetes and cardiovascular disease but are limited by suboptimal maintenance of lost weight and inadequate dissemination in low-resource communities. Objective: To evaluate the effectiveness of extended care programs for obesity management delivered remotely in rural communities through the US Cooperative Extension System. Design, Setting, and Participants: This randomized clinical trial was conducted from October 21, 2013, to December 21, 2018, in Cooperative Extension Service offices of 14 counties in Florida. A total of 851 individuals were screened for participation; 220 individuals did not meet eligibility criteria, and 103 individuals declined to participate. Of 528 individuals who initiated a 4-month lifestyle intervention, 445 qualified for randomization. Data were analyzed from August 22 to October 21, 2019. Interventions: Participants were randomly assigned to extended care delivered via individual or group telephone counseling or an education control program delivered via email. All participants received 18 modules with posttreatment recommendations for maintaining lost weight. In the telephone-based interventions, health coaches provided participants with 18 individual or group sessions focused on problem solving for obstacles to the maintenance of weight loss. Main Outcomes and Measures: The primary outcome was change in body weight from the conclusion of initial intervention (month 4) to final follow-up (month 22). An additional outcome was the proportion of participants achieving at least 10% body weight reduction at follow-up. Results: Among 445 participants (mean [SD] age, 55.4 [10.2] years; 368 [82.7%] women; 329 [73.9%] white), 149 participants (33.5%) were randomized to individual telephone counseling, 143 participants (32.1%) were randomized to group telephone counseling, and 153 participants (34.4%) were randomized to the email education control. Mean (SD) baseline weight was 99.9 (14.6) kg, and mean (SD) weight loss after the initial intervention was 8.3 (4.9) kg. Mean weight regains at follow-up were 2.3 (95% credible interval [CrI], 1.2-3.4) kg in the individual telephone counseling group, 2.8 (95% CrI, 1.4-4.2) kg for the group telephone counseling group, and 4.1 (95% CrI, 3.1-5.0) kg for the education control group, with a significantly smaller weight regain observed in the individual telephone counseling group vs control group (posterior probability >.99). A larger proportion of participants in the individual telephone counseling group achieved at least 10% weight reductions (31.5% [95% CrI, 24.1%-40.0%]) than in the control group (19.1% [95% CrI, 14.1%-24.9%]) (posterior probability >.99). Conclusions and Relevance: This randomized clinical trial found that providing extended care for obesity management in rural communities via individual telephone counseling decreased weight regain and increased the proportion of participants who sustained clinically meaningful weight losses. Trial Registration: ClinicalTrials.gov Identifier: NCT02054624.

Cost-Effectiveness of Three Doses of a Behavioral Intervention to Prevent or Delay Type 2 Diabetes in Rural Areas.

BACKGROUND: Rural Americans have higher prevalence of obesity and type 2 diabetes (T2D) than urban populations and more limited access to behavioral programs to promote healthy lifestyle habits. Descriptive evidence from the Rural Lifestyle Intervention Treatment Effectiveness trial delivered through local cooperative extension service offices in rural areas previously identified that behavioral modification with both nutrition education and coaching resulted in a lower program delivery cost per kilogram of weight loss maintained at 2-years compared with an education-only comparator intervention. OBJECTIVE: This analysis extended earlier Rural Lifestyle Intervention Treatment Effectiveness trial research regarding weight loss outcomes to assess whether nutrition education with behavioral coaching delivered through cooperative extension service offices is cost-effective relative to nutrition education only in reducing T2D cases in rural areas. DESIGN: A cost-utility analysis was conducted. PARTICIPANTS/SETTING: Trial participants (n=317) from June 2008 through June 2014 were adults residing in rural Florida counties with a baseline body mass index between 30 and 45, but otherwise identified as healthy. INTERVENTION: Trial participants were randomly assigned to low, moderate, or high doses of behavioral coaching with nutrition education (ie, 16, 32, or 48 sessions over 24 months) or a comparator intervention that included 16 sessions of nutrition education without coaching. Participant glycated hemoglobin level was measured at baseline and the end of the trial to assess T2D status. MAIN OUTCOME MEASURES: T2D categories by treatment arm were used to estimate participants' expected annual health care expenditures and expected health-related utility measured as quality adjusted life years (ie, QALYs) over a 5-year time horizon. Discounted incremental costs and QALYs were used to calculate incremental cost-effectiveness ratios for each behavioral coaching intervention dose relative to the education-only comparator. STATISTICAL ANALYSES PERFORMED: Using a third-party payer perspective, Markov transition matrices were used to model participant transitions between T2D states. Replications of the individual participant behavior were conducted using Monte Carlo simulation. RESULTS: All three doses of the behavioral coaching intervention had lower expected total costs and higher estimated QALYs than the education-only comparator. The moderate dose behavioral coaching intervention was associated with higher estimated QALYs but was costlier than the low dose; the moderate dose was favored over the low dose with willingness to pay thresholds over $107,895/QALY. The low dose behavioral coaching intervention was otherwise favored. CONCLUSIONS: Because most rural Americans live in counties with cooperative extension service offices, nutrition education with behavioral coaching programs similar to those delivered through this trial may be effective and efficient in preventing or delaying T2D-associated consequences of obesity for rural adults.

Metadata and Table Caption Correction: What Do Patients Say About Doctors Online? A Systematic Review of Studies on Patient Online Reviews.

[This corrects the article DOI: 10.2196/12521.].

The impact of natural disasters on medicare costs in U.S. gulf coast states.

Medicare utilization and costs for residents of the U.S. Gulf Coast, who are highly vulnerable to natural disasters, may be impacted by their disaster exposure.To estimate differences in healthcare utilization by disaster exposure, we calculated Medicare expenditures among residents of U.S. Gulf States and compared them with expenditures among residents of other regions of the U.S.Panel models were used to calculate changes in overall Medicare expenditures, inpatient expenditures, and home health expenditures for 32,819 Medicare beneficiaries. Individual demographic characteristics were included as predictors of change in expenditures.Medicare beneficiaries with National Health Interview Survey participation were identified and Part A claims were linked. Federal Emergency Management Agency (FEMA) data was used to determine counties that experienced no, some, high, and extreme hazard exposure. FEMA data was merged with Medicare claims data to create a panel dataset from 2001 to 2007.Medicare Part A claims for the years 2001 to 2007 were merged with FEMA data related to disasters in each U.S. County. Overall Medicare costs, as well as costs for inpatient and home health care for residents of states located along the U.S. Gulf Coast (Texas, Louisiana, Mississippi, Alabama, and Florida) were compared to costs for residents of the rest of the U.S.Expenditures among residents of U.S. Gulf States decreased with increased hazard exposure. Decreases in inpatient expenditures persisted in the years following a disaster.The use of beneficiary-level data highlights the potential for natural hazards to impact health care costs. This study demonstrates the possibility that exposure to more severe disasters may limit access to health care and therefore reduce expenditures. Additional research is needed to determine if there is a substitution of services (e.g., inpatient rehabilitation for home health) in disaster-affected areas during the post-disaster period.

Practical Use of Process Mapping to Guide Implementation of a Care Coordination Program for Rural Veterans.

BACKGROUND: Transitions of care are high risk for vulnerable populations such as rural Veterans, and adequate care coordination can alleviate many risks. Single-center care coordination programs have shown promise in improving transitional care practices. However, best practices for implementing effective transitional care interventions are unknown, and a common pitfall is lack of understanding of the current process at different sites. The rural Transitions Nurse Program (TNP) is a Veterans Health Administration (VA) intervention that addresses the unique transitional care coordination needs of rural Veterans, and it is currently being implemented in five VA facilities. OBJECTIVE: We sought to employ and study process mapping as a tool for assessing site context prior to implementation of TNP, a new care coordination program. DESIGN AND PARTICIPANTS: Observational qualitative study guided by the Lean Six Sigma approach. Data were collected in January-March 2017 through interviews, direct observations, and group sessions with front-line staff, including VA providers, nurses, and administrative staff from five VA Medical Centers and nine rural Patient-Aligned Care Teams. KEY RESULTS: We integrated key informant interviews, observational data, and group sessions to create ten process maps depicting the care coordination process prior to TNP implementation at each expansion site. These maps were used to adapt implementation through informing the unique role of the Transitions Nurse at each site and will be used in evaluating the program, which is essential to understanding the program's impact. CONCLUSIONS: Process mapping can be a valuable and practical approach to accurately assess site processes before implementation of care coordination programs in complex systems. The process mapping activities were useful in engaging the local staff and simultaneously guided adaptations to the TNP intervention to meet local needs. Our approach-combining multiple data sources while adapting Lean Six Sigma principles into practical use-may be generalizable to other care coordination programs.

What Do Patients Say About Doctors Online? A Systematic Review of Studies on Patient Online Reviews.

BACKGROUND: The number of patient online reviews (PORs) has grown significantly, and PORs have played an increasingly important role in patients' choice of health care providers. OBJECTIVE: The objective of our study was to systematically review studies on PORs, summarize the major findings and study characteristics, identify literature gaps, and make recommendations for future research. METHODS: A major database search was completed in January 2019. Studies were included if they (1) focused on PORs of physicians and hospitals, (2) reported qualitative or quantitative results from analysis of PORs, and (3) peer-reviewed empirical studies. Study characteristics and major findings were synthesized using predesigned tables. RESULTS: A total of 63 studies (69 articles) that met the above criteria were included in the review. Most studies (n=48) were conducted in the United States, including Puerto Rico, and the remaining were from Europe, Australia, and China. Earlier studies (published before 2010) used content analysis with small sample sizes; more recent studies retrieved and analyzed larger datasets using machine learning technologies. The number of PORs ranged from fewer than 200 to over 700,000. About 90% of the studies were focused on clinicians, typically specialists such as surgeons; 27% covered health care organizations, typically hospitals; and some studied both. A majority of PORs were positive and patients' comments on their providers were favorable. Although most studies were descriptive, some compared PORs with traditional surveys of patient experience and found a high degree of correlation and some compared PORs with clinical outcomes but found a low level of correlation. CONCLUSIONS: PORs contain valuable information that can generate insights into quality of care and patient-provider relationship, but it has not been systematically used for studies of health care quality. With the advancement of machine learning and data analysis tools, we anticipate more research on PORs based on testable hypotheses and rigorous analytic methods. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO) CRD42018085057; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=85057 (Archived by WebCite at http://www.webcitation.org/76ddvTZ1C).

Design of the Rural LEAP randomized trial: An evaluation of extended-care programs for weight management delivered via group or individual telephone counseling.

Obesity is a major contributor to the greater prevalence of chronic disease morbidity and mortality observed in rural versus nonrural areas of the U.S. Nonetheless, little research attention has been given to modifying this important driver of rural/urban disparities in health outcomes. Although lifestyle treatments produce weight reductions of sufficient magnitude to improve health, the existing research is limited with respect to the long-term maintenance of treatment effects and the dissemination of services to underserved populations. Recent studies have demonstrated the feasibility of delivering lifestyle programs through the infrastructure of the U.S. Cooperative Extension Service (CES), which has >2900 offices nationwide and whose mission includes nutrition education and health promotion. In addition, several randomized trials have shown that supplementing lifestyle treatment with extended-care programs consisting of either face-to-face sessions or individual telephone counseling can improve the maintenance of weight loss. However, both options entail relatively high costs that inhibit adoption in rural communities. The delivery of extended care via group-based telephone intervention may represent a promising, cost-effective alternative that is well suited to rural residents who tend to be isolated, have heightened concerns about privacy, and report lower quality of life. The Rural Lifestyle Eating and Activity Program (Rural LEAP) is a randomized trial, conducted via CES offices in rural communities, targeted to adults with obesity (n = 528), and designed to evaluate the effectiveness and cost-effectiveness of extended-care programs delivered via group or individual telephone counseling compared to an education control condition on long-term changes in body weight.

A Model for Measuring Ambulatory Access to Care Recovery after Disasters.

INTRODUCTION: Although little research has examined impacts of disasters on scheduled ambulatory care services, routine care delivery is important for emergency planning and response because missed or delayed care can lead to more urgent care needs. This article presents potential measures of ambulatory care recovery and resilience and applies the measures to data around a recent disaster. METHODS: We conceptualize "ambulatory care recovery" as the change in median business days to complete appointments that were canceled, and "ambulatory care resiliency" as the change in percentage of completed appointments in time frames before, during, and after disasters. Appointments data from Veterans Affairs (VA) clinics were examined around a category 4 hurricane that affected a coastal area with a substantial veteran population. RESULTS: For the disaster studied, ambulatory care resilience was associated with geographic proximity to the storm's impact. Primary care recovery was longer in locations closest to storm landfall. This research indicates the usefulness of routine appointments data in emergency planning. CONCLUSION: Quantifying care disruptions around disasters is an important step in assessing interventions to improve emergency preparedness and response for clinics. The illustrative example of measures captured the disaster event duration and severity in relation to ambulatory care appointments.

Veterans Health Administration's Disaster Emergency Medical Personnel System (DEMPS) Training Evaluation: Potential Implications for Disaster Health Care Volunteers.

OBJECTIVE: The US Veterans Health Administration's Disaster Emergency Medical Personnel System (DEMPS) is a team of employee disaster response volunteers who provide clinical and non-clinical staffing assistance when local systems are overwhelmed. This study evaluated attitudes and recommendations of the DEMPS program to understand the impact of multi-modal training on volunteer perceptions. METHODS: DEMPS volunteers completed an electronic survey in 2012 (n=2120). Three training modes were evaluated: online, field exercise, and face-to-face. Measures included: "Training Satisfaction," "Attitudes about Training," "Continued Engagement in DEMPS." Data were analyzed using χ2 and logistic regression. Open-ended questions were evaluated in a manner consistent with grounded theory methodology. RESULTS: Most respondents participated in DEMPS training (80%). Volunteers with multi-modal training who completed all 3 modes (14%) were significantly more likely to have positive attitudes about training, plan to continue as volunteers, and would recommend DEMPS to others (P-value<0.001). Some respondents requested additional interactive activities and suggested increased availability of training may improve volunteer engagement. CONCLUSIONS: A blended learning environment using multi-modal training methods, could enhance satisfaction and attitudes and possibly encourage continued engagement in DEMPS or similar programs. DEMPS training program modifications in 2015 expanded this blended learning approach through new interactive online learning opportunities. (Disaster Med Public Health Preparedness. 2018;12:744-751).

Potentially Preventable Hospitalizations and the Burden of Healthcare-Associated Infections.

BACKGROUND: An estimated 4% of hospital admissions acquired healthcare-associated infections (HAIs) and accounted for $9.8 (USD) billion in direct cost during 2011. In 2010, nearly 140 000 of the 3.5 million potentially preventable hospitalizations (PPHs) may have acquired an HAI. There is a knowledge gap regarding the co-occurrence of these events. AIMS: To estimate the period occurrences and likelihood of acquiring an HAI for the PPH population. METHODS: Retrospective, cross-sectional study using logistic regression analysis of 2011 Texas Inpatient Discharge Public Use Data File including 2.6 million admissions from 576 acute care hospitals. Agency for Healthcare Research and Quality Prevention Quality Indicator software identified PPH, and existing administrative data identification methodologies were refined for Clostridium difficile infection, central line-associated bloodstream infection, catheter-associated urinary tract infection, and ventilator-associated pneumonia. Odds of acquiring HAIs when admitted with PPH were adjusted for demographic, health status, hospital, and community characteristics. FINDINGS: We identified 272 923 PPH, 14 219 HAI, and 986 admissions with PPH and HAI. Odds of acquiring an HAI for diabetic patients admitted for lower extremity amputation demonstrated significantly increased odds ratio of 2.9 (95% confidence interval: 2.16-3.91) for Clostridium difficile infection. Other PPH patients had lower odds of acquiring HAI compared to non-PPH patients, and results were frequently significant. CONCLUSIONS: Clinical implications include increased risk of HAI among diabetic patients admitted for lower extremity amputation. Methodological implications include identification of rare events for inpatient subpopulations and the need for improved codification of HAIs to improve cost and policy analyses regarding allocation of resources toward clinical improvements.

Hospital Characteristics are Associated With Readiness to Attain Stage 2 Meaningful Use of Electronic Health Records.

PURPOSE: To examine the difference between rural and urban hospitals as to their overall level of readiness for stage 2 meaningful use of electronic health records (EHRs) and to identify other key factors that affect their readiness for stage 2 meaningful use. METHODS: A conceptual framework based on the theory of organizational readiness for change was used in a cross-sectional multivariate analysis using 2,083 samples drawn from the HIMSS Analytics survey conducted with US hospitals in 2013. FINDINGS: Rural hospitals were less likely to be ready for stage 2 meaningful use compared to urban hospitals in the United States (OR = 0.49) in our final model. Hospitals' past experience with an information exchange initiative, staff size in the information system department, and the Chief Information Officer (CIO)'s responsibility for health information management were identified as the most critical organizational contextual factors that were associated with hospitals' readiness for stage 2. Rural hospitals lag behind urban hospitals in EHR adoption, which will hinder the interoperability of EHRs among providers across the nation. The identification of critical factors that relate to the adoption of EHR systems provides insights into possible organizational change efforts that can help hospitals to succeed in attaining meaningful use requirements. CONCLUSION: Rural hospitals have increasingly limited resources, which have resulted in a struggle for these facilities to attain meaningful use. Given increasing closures among rural hospitals, it is all the more important that EHR development focus on advancing rural hospital quality of care and linkages with patients and other organizations supporting the care of their patients.

Assessing Hospital Disaster Readiness Over Time at the US Department of Veterans Affairs.

Introduction There have been numerous initiatives by government and private organizations to help hospitals become better prepared for major disasters and public health emergencies. This study reports on efforts by the US Department of Veterans Affairs (VA), Veterans Health Administration, Office of Emergency Management's (OEM) Comprehensive Emergency Management Program (CEMP) to assess the readiness of VA Medical Centers (VAMCs) across the nation. Hypothesis/Problem This study conducts descriptive analyses of preparedness assessments of VAMCs and examines change in hospital readiness over time. METHODS: To assess change, quantitative analyses of data from two phases of preparedness assessments (Phase I: 2008-2010; Phase II: 2011-2013) at 137 VAMCs were conducted using 61 unique capabilities assessed during the two phases. The initial five-point Likert-like scale used to rate each capability was collapsed into a dichotomous variable: "not-developed=0" versus "developed=1." To describe changes in preparedness over time, four new categories were created from the Phase I and Phase II dichotomous variables: (1) rated developed in both phases; (2) rated not-developed in Phase I but rated developed in Phase II; (3) rated not-developed in both phases; and (4) rated developed in Phase I but rated not- developed in Phase II. RESULTS: From a total of 61 unique emergency preparedness capabilities, 33 items achieved the desired outcome - they were rated either "developed in both phases" or "became developed" in Phase II for at least 80% of VAMCs. For 14 items, 70%-80% of VAMCs achieved the desired outcome. The remaining 14 items were identified as "low-performing" capabilities, defined as less than 70% of VAMCs achieved the desired outcome. CONCLUSION: Measuring emergency management capabilities is a necessary first step to improving those capabilities. Furthermore, assessing hospital readiness over time and creating robust hospital readiness assessment tools can help hospitals make informed decisions regarding allocation of resources to ensure patient safety, provide timely access to high-quality patient care, and identify best practices in emergency management during and after disasters. Moreover, with some minor modifications, this comprehensive, all-hazards-based, hospital preparedness assessment tool could be adapted for use beyond the VA. Der-Martirosian C , Radcliff TA , Gable AR , Riopelle D , Hagigi FA , Brewster P , Dobalian A . Assessing hospital disaster readiness over time at the US Department of Veterans Affairs. Prehsop Disaster Med. 2017;32(1):46-57.

Developing Valid Measures of Emergency Management Capabilities within US Department of Veterans Affairs Hospitals.

UNLABELLED: Introduction Hospitals play a critical role in providing health care in the aftermath of disasters and emergencies. Nonetheless, while multiple tools exist to assess hospital disaster preparedness, existing instruments have not been tested adequately for validity. Hypothesis/Problem This study reports on the development of a preparedness assessment tool for hospitals that are part of the US Department of Veterans Affairs (VA; Washington, DC USA). METHODS: The authors evaluated hospital preparedness in six "Mission Areas" (MAs: Program Management; Incident Management; Safety and Security; Resiliency and Continuity; Medical Surge; and Support to External Requirements), each composed of various observable hospital preparedness capabilities, among 140 VA Medical Centers (VAMCs). This paper reports on two successive assessments (Phase I and Phase II) to assess the MAs' construct validity, or the degree to which component capabilities relate to one another to represent the associated domain successfully. This report describes a two-stage confirmatory factor analysis (CFA) of candidate items for a comprehensive survey implemented to assess emergency preparedness in a hospital setting. RESULTS: The individual CFAs by MA received acceptable fit statistics with some exceptions. Some individual items did not have adequate factor loadings within their hypothesized factor (or MA) and were dropped from the analyses in order to obtain acceptable fit statistics. The Phase II modified tool was better able to assess the pre-determined MAs. For each MA, except for Resiliency and Continuity (MA 4), the CFA confirmed one latent variable. In Phase I, two sub-scales (seven and nine items in each respective sub-scale) and in Phase II, three sub-scales (eight, four, and eight items in each respective sub-scale) were confirmed for MA 4. The MA 4 capabilities comprise multiple sub-domains, and future assessment protocols should consider re-classifying MA 4 into three distinct MAs. CONCLUSION: The assessments provide a comprehensive and consistent, but flexible, approach for ascertaining health system preparedness. This approach can provide an organization with a clear understanding of areas for improvement and could be adapted into a standard for hospital readiness. Dobalian A , Stein JA , Radcliff TA , Riopelle D , Brewster P , Hagigi F , Der-Martirosian C . Developing valid measures of emergency management capabilities within US Department of Veterans Affairs hospitals. Prehosp Disaster Med. 2016;31(5):475-484.

Leveraging Administrative Data for Program Evaluations: A Method for Linking Data Sets Without Unique Identifiers.

In community-based wellness programs, Social Security Numbers (SSNs) are rarely collected to encourage participation and protect participant privacy. One measure of program effectiveness includes changes in health care utilization. For the 65 and over population, health care utilization is captured in Medicare administrative claims data. Therefore, methods as described in this article for linking participant information to administrative data are useful for program evaluations where unique identifiers such as SSN are not available. Following fuzzy matching methodologies, participant information from the National Study of the Chronic Disease Self-Management Program was linked to Medicare administrative data. Linking variables included participant name, date of birth, gender, address, and ZIP code. Seventy-eight percent of participants were linked to their Medicare claims data. Linking program participant information to Medicare administrative data where unique identifiers are not available provides researchers with the ability to leverage claims data to better understand program effects.