Is Electronic Information Exchange Associated With Lower 30-Day Readmission Charges Among Medicare Beneficiaries?

OBJECTIVE: Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions. DATA SOURCE: Medicare Fee-for-Service Data, 2018. STUDY DESIGN: We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics. DATA EXTRACTION METHODS: We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason. PRINCIPAL FINDINGS: In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other. CONCLUSIONS: There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.

Predicting the Incremental Hospital Cost of Adverse Events Among Medicare Beneficiaries in the Comprehensive Joint Replacement Program During Fiscal Year 2014.

BACKGROUND: The Medicare program's Comprehensive Care for Joint Replacement (CJR) payment model places hospitals at financial risk for the treatment cost of Medicare beneficiaries (MBs) undergoing lower extremity joint replacement (LEJR). METHODS: This study uses Medicare Provider Analysis and Review File and identified 674,777 MBs with LEJR procedure during fiscal year 2014. Adverse events (death, acute myocardial infarction, pneumonia, sepsis or shock, surgical site bleeding, pulmonary embolism, mechanical complications, and periprosthetic joint infection) were studied. Multivariable regressions were modeled to estimate the incremental hospital cost of treating each adverse event. RESULTS: The risk-adjusted estimated hospital cost of treating adverse events varied from a high of $29,061 (MBs experiencing hip fracture and joint infection) to a low of $6308 (MBs without hip fracture that experienced pulmonary embolism). CONCLUSION: Avoidance of adverse events in the LEJR hospitalization will play an important role in managing episode hospital costs in the Comprehensive Care for Joint Replacement program.

Trends in coronary revascularization procedures among Medicare beneficiaries between 2008 and 2012.

BACKGROUND: This study reports on the trends in the volume and outcomes of coronary revascularization procedures performed on Medicare beneficiaries between 2008 and 2012. METHODS AND RESULTS: This retrospective study identifies all Medicare beneficiaries undergoing a coronary revascularization procedure: coronary artery bypass graft surgery or percutaneous coronary intervention (PCI) performed in either the nonadmission or inpatient setting. International Classification of Diseases, 9th Revision, Clinical Modification procedure codes (inpatient setting) and Current Procedural Terminology and Ambulatory Payment Classification codes (nonadmission) were used to identify revascularizations. The study population consists of 2,768,007 records. This study finds that the rapid growth in nonadmission PCIs performed on Medicare beneficiaries (60,405-106,495) has been more than offset by the decrease in PCI admissions (363,384-295,434) during the study period. There also were >18,000 fewer coronary artery bypass graft admissions in 2012 than in 2008. This study finds lower observed mortality rates (3.7%-3.2%) among Medicare beneficiaries undergoing any coronary artery bypass graft surgery and higher observed mortality rates (1.7%-1.9%) for Medicare beneficiaries undergoing any PCI encounter. This study also finds a growth in the number of facilities performing revascularization procedures during the study period: 268 (20.2%) more sites were performing nonadmission PCIs; 136 (8.2%) more sites were performing inpatient PCIs; and 19 (1.6%) more sites were performing coronary artery bypass graft surgery. CONCLUSIONS: The total number of revascularization procedures performed on Medicare beneficiaries peaked in 2010 and declined by >4% per year in 2011 and 2012. Observed mortality rates among all Medicare beneficiaries undergoing any coronary revascularization remained between 2.1% and 2.2% annually during the study period.

The Incremental Hospital Cost and Length-of-Stay Associated With Treating Adverse Events Among Medicare Beneficiaries Undergoing THA During Fiscal Year 2013.

This paper estimates the incremental hospital resource consumption associated with treating selected adverse events experienced by Medicare beneficiaries (MBs) undergoing total hip arthroplasty (THA). This retrospective study, using the Medicare Provider Analysis and Review file, identified 174,167 MBs who underwent THA in 2013. Overall, 20.16% of MB undergoing THA experienced at least one adverse event. MB experiencing any adverse event consumed significantly higher hospital cost ($3429) and had longer length of stays (1.0 day). The risk-adjusted incremental cost of treating adverse events ranged from a high of $27,116 (pneumonia) to a low of $2626 (hemorrhage or post-operative shock requiring transfusion). Most major adverse events occurred infrequently, however when adverse events occurred, they add substantially to the hospital resource costs of treating MB.

An economic evaluation of a self-care intervention in persons with heart failure and diabetes.

BACKGROUND: Persons with concomitant heart failure (HF) and diabetes mellitus constitute a growing population whose quality of life is encumbered with worse clinical outcomes as well as high health resource use (HRU) and costs. METHODS AND RESULTS: Extensive data on HRU and costs were collected as part of a prospective cost-effectiveness analysis of a self-care intervention to improve outcomes in persons with both HF and diabetes. HRU costs were assigned from a Medicare reimbursement perspective. Patients (n = 134) randomized to the self-care intervention and those receiving usual care/attention control were followed for 6 months, revealing significant differences in the number of hospitalization days and associated costs between groups. The mean number of inpatient days was 3 with bootstrapped bias-corrected (BCa) confidence intervals (CIs) of 1.8-4.4 d for the intervention group and 7.3 d (BCa CI 4.1-10.9 d) in the control group: P = .044. Total direct HRU costs per participant were an estimated $9,065 (BCa CI $6,496-$11,936) in the intervention and $16,712 (BCa CI 8,200-$26,621) in the control group, for a mean difference of -$7,647 (BCa CI -$17,588 to $809; P = .21) in favor of the intervention, including intervention costs estimated to be $130.67 per patient. CONCLUSIONS: The self-care intervention demonstrated dominance in lowering costs without sacrificing quality-adjusted life-years.

The incremental hospital cost and length-of-stay associated with treating adverse events among Medicare beneficiaries undergoing TKA.

This paper estimates the incremental hospital resource consumption associated with treating selected adverse events experienced by Medicare beneficiaries undergoing TKA. This retrospective study, using the Medicare Provider Analysis and Review file, identified 353,650 Medicare beneficiaries who underwent a primary TKA during 2011. Overall, 11.82% of Medicare beneficiaries (MBs) undergoing TKA experienced at least one of the study's adverse events. MBs experiencing any adverse event consumed significantly more unadjusted hospital resources ($3110 cost) and had longer stays (1.3 days). The risk-adjusting incremental cost of treating adverse events ranged between $30,902 (pneumonia) and $2167 (hemorrhage or post-operative shock requiring transfusion). Most major adverse events occur infrequently; however when an adverse event occurs following TKA, it adds substantially to hospital costs.

Medicare Reimbursement Attributable to Periprosthetic Joint Infection Following Primary Hip and Knee Arthroplasty.

This study estimated Medicare reimbursement attributable to periprosthetic joint infection (PJI) across the continuum of covered services four years following hip or knee arthroplasty. Using 2001-2008 Medicare claims data, total and annual attributable reimbursements were assessed using generalized linear regression, adjusting for potential confounders. Within one year following arthroplasty, 109 (1.04%) of 10,418 beneficiaries were diagnosed with PJI. Cumulative Medicare reimbursement in the PJI arm was 2.2-fold (1.9-2.6, P<.0001) or $53,470 ($39,575-$68,221) higher than that of the non-PJI arm. The largest difference in reimbursement occurred the first year (3.2-fold); differences persisted the second (2.3-fold) and third (1.9-fold) follow up years. PJI following hip or knee arthroplasty appears costly to Medicare, with cost traversing several years and health care service areas.

Single subject design: Use of time series analyses in a small cohort to understand adherence with a prescribed fluid restriction.

PURPOSE: This paper presents a secondary in-depth analysis of five persons with heart failure randomized to receive an education and behavioral intervention on fluid restriction as part of a larger study. METHODS: Using a single subject analysis design, time series analyses models were constructed for each of the five patients for a period of 180 days to determine correlations between daily measures of patient reported fluid intake, thoracic impedance, and weights, and relationships between patient reported outcomes of symptom burden and health related quality of life over time. RESULTS: Negative relationships were observed between fluid intake and thoracic impedance, and between impedance and weight, while positive correlations were observed between daily fluid intake and weight. CONCLUSIONS: By constructing time series analyses of daily measures of fluid congestion, trends and patterns of fluid congestion emerged which could be used to guide individualized patient care or future research endeavors. Employment of such a specialized analysis technique allows for the elucidation of clinically relevant findings potentially disguised when only evaluating aggregate outcomes of larger studies.

A pilot test of an integrated self-care intervention for persons with heart failure and concomitant diabetes.

Studies show 30% to 47% of people with heart failure (HF) have concomitant diabetes mellitus (DM). Self-care for persons with both of these chronic conditions is conflicting, complex, and often inadequate. This pilot study tested an integrated self-care program for its effects on HF and DM knowledge, self-care efficacy, self-care behaviors, and quality of life (QOL). Hospitalized HF-DM participants (N = 71) were randomized to usual care or intervention using a 1:2 allocation and followed at 30 and 90 days after intervention. Intervention was an integrated education and counseling program focused on HF-DM self-care. Variables included demographic and clinical data, knowledge about HF and DM, HF- and DM-specific self-efficacy, standard HF and DM QOL scales, and HF and DM self-care behaviors. Analysis included descriptive statistics, multilevel longitudinal models for group and time effects, post hoc testing, and effect size calculations. Sidak adjustments were used to control for type 1 error inflation. The integrated HF-DM self-care intervention conferred effects on improved HF knowledge (30 days, p = .05), HF self-care maintenance (30 and 90 days, p < .001), HF self-care management (90 days, p = .05), DM self-efficacy (30 days, p = .03; 90 days, p = .004), general diet (30 days, p = .05), HF physical QOL (p = .04), and emotional QOL scores (p = .05) at 90 days within the intervention group. The participants in the usual care group also reported increased total and physical QOL. Greater percentages of participants in the intervention group improved self reported exercise between 0 and 30 days (p = .005 and moderate effect size ES = .47) and foot care between 0 and 90 days (p = .03, small ES = .36). No group differences or improvements in DM-specific QOL were observed. An integrated HF-DM self-care intervention was effective in improving essential components of self-care and had sustained (90 day) effects on selected self-care behaviors. Future studies testing HF-DM integrated self-care interventions in larger samples with longer follow-up and on other outcomes such as hospitalization and clinical markers are warranted.

Fragmented Readmissions From a Nursing Facility in Medicare Beneficiaries.

Over one-third of Medicare beneficiaries discharged to nursing facilities require readmission. When those readmissions are to a different hospital than the original admission, or "fragmented readmissions," they carry increased risks of mortality and subsequent readmissions. This study examines whether Medicare beneficiaries readmitted from a nursing facility are more likely to have a fragmented readmission than beneficiaries readmitted from home among a 2018 cohort of Medicare beneficiaries, and examined whether this association was affected by a diagnosis of Alzheimer's Disease (AD). In fully adjusted models, readmissions from a nursing facility were 19% more likely to be fragmented (AOR 1.19, 95% CI 1.16, 1.22); this association was not affected by a diagnosis of AD. These results suggest that readmission from nursing facilities may contribute to care fragmentation for older adults, underscoring it as a potentially modifiable pre-hospital risk factor for fragmented readmissions.

Impact of electronic information exchange on repeat imaging during 30-day readmissions among Medicare beneficiaries.

OBJECTIVES: We examined the association between electronic health information sharing and repeat imaging in readmissions among older adults with and without Alzheimer disease (AD). STUDY DESIGN: Cohort study using national Medicare data. METHODS: Among Medicare beneficiaries with 30-day readmissions in 2018, we examined repeat imaging on the same body system during the readmission. This was evaluated between fragmented and nonfragmented (same-hospital) readmissions and across categories of electronic information sharing via health information exchanges (HIEs) in fragmented readmissions: admission and readmission hospitals share the same HIE, admission and readmission hospitals participate in different HIEs, one or both do not participate in HIE, or HIE data missing. This relationship was evaluated using unadjusted and adjusted logistic regression. RESULTS: Overall, 14.3% of beneficiaries experienced repeat imaging during their readmission. Compared with nonfragmented readmissions, fragmented readmissions were associated with 5% higher odds of repeat imaging on the same body system in older adults without AD. This was not mitigated by the presence of electronic information sharing: Fragmented readmissions to hospitals that shared an HIE had 6% higher odds of repeat imaging (adjusted OR, 1.06; 95% CI, 1.00-1.13). There was no difference seen in the odds of repeat imaging for older adults with AD. CONCLUSIONS: Despite substantial investment, HIEs as currently deployed and used are not associated with decreased odds of repeat imaging in readmissions.

Measuring the Direct Medical Costs of Hospital-Onset Infections Using an Analogy Costing Framework.

BACKGROUND: The majority of recent estimates on the direct medical cost attributable to hospital-onset infections (HOIs) has focused on device- or procedure-associated HOIs. The attributable costs of HOIs that are not associated with device use or procedures have not been extensively studied. OBJECTIVE: We developed simulation models of attributable cost for 16 HOIs and estimated the total direct medical cost, including nondevice-related HOIs in the USA for 2011 and 2015. DATA AND METHODS: We used total discharge costs associated with HOI-related hospitalization from the National Inpatient Sample and applied an analogy costing methodology to develop simulation models of the costs attributable to HOIs. The mean attributable cost estimate from the simulation analysis was then multiplied by previously published estimates of the number of HOIs for 2011 and 2015 to generate national estimates of direct medical costs. RESULTS: After adjusting all estimates to 2017 US dollars, attributable cost estimates for select nondevice-related infections attributable cost estimates ranged from $7661 for ear, eye, nose, throat, and mouth (EENTM) infections to $27,709 for cardiovascular system infections in 2011; and from $8394 for EENTM to $26,445 for central nervous system infections in 2016 (based on 2015 incidence data). The national direct medical costs for all HOIs were $14.6 billion in 2011 and $12.1 billion in 2016. Nondevice- and nonprocedure-associated HOIs comprise approximately 26-28% of total HOI costs. CONCLUSION: Results suggest that nondevice- and nonprocedure-related HOIs result in considerable costs to the healthcare system.

Cost estimates for operating a primary care practice facilitation program.

PURPOSE: Practice facilitation is widely recognized as a promising method for achieving large-scale practice redesign. Little is known, however, about the cost of providing practice facilitation to small primary practices from the prospective of an organization providing facilitation activities. METHODS: We report practice facilitation costs on 19 practices in South Texas that were randomized to receive facilitation activities. The study design assured that each practice received at least 6 practice facilitation visits during the intervention year. We examined only the variable cost associated with practice facilitation activities. Fixed or administrative costs of providing facilitation actives were not captured. All facilitator activities (time, mileage, and materials) were self-reported by the practice facilitators and recorded in spreadsheets. RESULTS: The median total variable cost of all practice facilitation activities from start-up through monitoring, including travel and food, was $9,670 per practice (ranging from $8,050 to $15,682). Median travel and food costs were an additional $2,054 but varied by clinic. Approximately 50% of the total cost is attributable to practice assessment and start-up activities, with another 31% attributable to practice facilitation visits. Sensitivity analysis suggests that a 24-visit practice facilitation protocol increased estimated median total variable costs of all practice facilitation activities only by $5,428, for a total of $15,098. CONCLUSIONS: We found that, depending on the facilitators wages and the intensity of the intervention, the cost of practice facilitation ranges between $9,670 and $15,098 per practice per year and have the potential to be cost-neutral from a societal prospective if practice facilitation results in 2 fewer hospitalizations per practice per year.

Quality improvement training: experiences of frontline staff.

PURPOSE: Healthcare organizations have employed numerous strategies to promote quality improvement (QI) initiatives, yet little is known about their effectiveness. In 2008, staff in one organization developed an in-house QI training program designed for frontline managers and staff and this article aims to report employee perspectives. DESIGN/METHODOLOGY/APPROACH: Qualitative interviews were conducted with 22 course participants to examine satisfaction, self-assessed change in proficiency and ability to successfully engage with QI initiatives. Sampling bias may have occurred as the participants volunteered for the study and they may not represent all course participants. Recall bias is also possible since most interviews took place one year after the course was completed to assess long-term impact. Respondents were asked to self-rate their pre- and post-course knowledge and skill, which may not represent what was actually learned. FINDINGS: Informants reported that the course expanded their QI knowledge and skills, and that supervisor support for the course was essential for success. Additionally, the course QI project provided participants with an opportunity to translate theory into practice, which has the potential to influence patient outcomes. PRACTICAL IMPLICATIONS: Several lessons for future QI training can be gleaned from this evaluation, including respondent opinions that it is challenging to offer one program when participants have different QI knowledge levels before the course begins, that "booster sessions" or refresher classes after the course ends would be helpful and that supervisor support was critical to successful QI-initiative implementation. ORIGINALITY/VALUE: This study conducts in-depth interviews with QI course participants to elicit staff feedback on program structure and effectiveness. These findings can be used by QI educators to disseminate more effective training programs.

Cost of treatment failure: Medicare spending on stroke for atrial fibrillation patients not receiving anticoagulation.

BACKGROUND: It is well known that atrial fibrillation (AF) patients not receiving anticoagulants are at higher risk of Ischemic Stroke (IS). OBJECTIVE: Our objective is to estimate how much the Medicare program spends during one-year treating a Medicare beneficiary (MB) with AF who were not being anticoagulated prior to or during their IS hospitalization. METHODS: This cross-sectional study population consisted of all MBs in the fee-for-service program who were discharged from a hospitalization for IS having AF during 2018. Patients were excluded for a prior history of stroke or already receiving long-term anticoagulants. Medicare spending was defined as paid claims during the index hospitalization and all facility claims that began within 12-months of the index hospital discharge date even if admission occurred in 2019. RESULTS: The final sample was 50,509 MBs. Average Medicare Part A spending per beneficiary was $46,867 ± $49,212, for a total of nearly $2.5 billion. Highest average spending per MB was for hospital services $25,848, of which $15,790 ± $20,984 occurred during the index hospitalization, and $10,058 ± $21,956 for rehospitalization. The Medicare program average MB spending included $8131 ± $14,979 at skilled nursing facilities, $5538 ± $12,739 at rehabilitation facilities, and $3056 ± $7495 for outpatient facilities or emergency departments. CONCLUSION: MBs with AF who are not treated with anticoagulants and then suffer an ischemic stroke result in one-year Medicare Part A program spending of approximately $47,000 per person compared to an average spending of approximately $12,800 per beneficiary in the Medicare program in 2018 [1]. Identification and anticoagulation treatment in AF could result in significant healthcare savings.

Ambulance use and subsequent fragmented hospital readmission among older adults.

BACKGROUND: Interhospital care fragmentation, when a patient is readmitted to a different hospital than they were originally discharged from, occurs in 20%-25% of readmissions. Mode of transport to the hospital, specifically ambulance use, may be a risk factor for fragmented readmissions. Our study seeks to further understand the relationship between ambulance transport and fragmented readmissions in older adults, a population that is at increased risk for poor outcomes following fragmented readmissions. METHODS: We analyzed inpatient claims from Medicare beneficiaries in 2018 who had a hospital admission for select Hospital Readmission Reduction Program Conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, pneumonia) as well as dehydration, syncope, urinary tract infection, or behavioral issues. We evaluated the associations between ambulance transport and a fragmented readmission using logistic regression models adjusted for demographic, clinical, and hospital characteristics. RESULTS: The study included 1,186,600 30-day readmissions. Of these, 46.8% (n = 555,847) required ambulance transport. In fully adjusted models, taking an ambulance to the readmission hospital increased the odds of a fragmented readmission by 38% (95% CI 1.32, 1.44). When this association was examined by readmission major diagnostic category (MDC), the strongest associations were seen for Factors Influencing Health Status and Other Contacts with Health Services (i.e., rehabilitation, aftercare) (AOR 3.66, 95% CI 3.11, 4.32), Mental Diseases and Disorders (AOR 2.69, 95% CI 2.44, 2.97), and Multiple Significant Trauma (AOR 2.61, 95% CI 1.56, 4.35). When the model was stratified by patient origin, ambulance use remained associated with fragmented readmissions across all locations. CONCLUSIONS: Ambulance use is associated with increased odds of a fragmented readmission, though the strength of the association varies by readmission diagnosis and origin. Patient-, hospital-, and system-level interventions should be developed, implemented, and evaluated to address this modifiable risk factor.

Association of Fragmented Readmissions and Electronic Information Sharing With Discharge Destination Among Older Adults.

Importance: When an older adult is hospitalized, where they are discharged is of utmost importance. Fragmented readmissions, defined as readmissions to a different hospital than a patient was previously discharged from, may increase the risk of a nonhome discharge for older adults. However, this risk may be mitigated via electronic information exchange between the admission and readmission hospitals. Objective: To determine the association of fragmented hospital readmissions and electronic information sharing with discharge destination among Medicare beneficiaries. Design, Setting, and Participants: This cohort study retrospectively examined data from Medicare beneficiaries hospitalized for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues in 2018 and their 30-day readmission for any reason. The data analysis was completed between November 1, 2021, and October 31, 2022. Exposures: Same hospital vs fragmented readmissions and presence of the same health information exchange (HIE) at the admission and readmission hospitals vs no information shared between the admission and readmission hospitals. Main Outcomes and Measures: The main outcome was discharge destination following the readmission, including home, home with home health, skilled nursing facility (SNF), hospice, leaving against medical advice, or dying. Outcomes were examined for beneficiaries with and without Alzheimer disease using logistic regressions. Results: The cohort included 275 189 admission-readmission pairs, representing 268 768 unique patients (mean [SD] age, 78.9 [9.0] years; 54.1% female and 45.9% male; 12.2% Black, 82.1% White, and 5.7% other race and ethnicity). Of the 31.6% fragmented readmissions in the cohort, 14.3% occurred at hospitals that shared an HIE with the admission hospital. Beneficiaries with same hospital/nonfragmented readmissions tended to be older (mean [SD] age, 78.9 [9.0] vs 77.9 [8.8] for fragmented with same HIE and 78.3 [8.7] years for fragmented without HIE; P < .001). Fragmented readmissions were associated with 10% higher odds of discharge to an SNF (adjusted odds ratio [AOR], 1.10; 95% CI, 1.07-1.12) and 22% lower odds of discharge home with home health (AOR, 0.78; 95% CI, 0.76-0.80) compared with same hospital/nonfragmented readmissions. When the admission and readmission hospital shared an HIE, beneficiaries had 9% to 15% higher odds of discharge home with home health (patients without Alzheimer disease: AOR, 1.09 [95% CI, 1.04-1.16]; patients with Alzheimer disease: AOR, 1.15 [95% CI, 1.01-1.32]) compared with fragmented readmissions where information sharing was not available. Conclusions and Relevance: In this cohort study of Medicare beneficiaries with 30-day readmissions, whether a readmission is fragmented was associated with discharge destination. Among fragmented readmissions, shared HIE across admission and readmission hospitals was associated with higher odds of discharge home with home health. Efforts to study the utility of HIE for care coordination for older adults should be pursued.

The Impact of Health Information Exchange on In-Hospital and Postdischarge Mortality in Older Adults with Alzheimer Disease Readmitted to a Different Hospital Within 30 Days of Discharge: Cohort Study of Medicare Beneficiaries.

BACKGROUND: Although electronic health information sharing is expanding nationally, it is unclear whether electronic health information sharing improves patient outcomes, particularly for patients who are at the highest risk of communication challenges, such as older adults with Alzheimer disease. OBJECTIVE: To determine the association between hospital-level health information exchange (HIE) participation and in-hospital or postdischarge mortality among Medicare beneficiaries with Alzheimer disease or 30-day readmissions to a different hospital following an admission for one of several common conditions. METHODS: This was a cohort study of Medicare beneficiaries with Alzheimer disease who had one or more 30-day readmissions in 2018 following an initial admission for select Hospital Readmission Reduction Program conditions (acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, and pneumonia) or common reasons for hospitalization among older adults with Alzheimer disease (dehydration, syncope, urinary tract infection, or behavioral issues). Using unadjusted and adjusted logistic regression, we examined the association between electronic information sharing and in-hospital mortality during the readmission or mortality in the 30 days following the readmission. RESULTS: A total of 28,946 admission-readmission pairs were included. Beneficiaries with same-hospital readmissions were older (aged 81.1, SD 8.6 years) than beneficiaries with readmissions to different hospitals (age range 79.8-80.3 years, P<.001). Compared to admissions and readmissions to the same hospital, beneficiaries who had a readmission to a different hospital that shared an HIE with the admission hospital had 39% lower odds of dying during the readmission (adjusted odds ratio [AOR] 0.61, 95% CI 0.39-0.95). There were no differences in in-hospital mortality observed for admission-readmission pairs to different hospitals that participated in different HIEs (AOR 1.02, 95% CI 0.82-1.28) or to different hospitals where one or both hospitals did not participate in HIE (AOR 1.25, 95% CI 0.93-1.68), and there was no association between information sharing and postdischarge mortality. CONCLUSIONS: These results indicate that information sharing between unrelated hospitals via a shared HIE may be associated with lower in-hospital, but not postdischarge, mortality for older adults with Alzheimer disease. In-hospital mortality during a readmission to a different hospital was higher if the admission and readmission hospitals participated in different HIEs or if one or both hospitals did not participate in an HIE. Limitations of this analysis include that HIE participation was measured at the hospital level, rather than at the provider level. This study provides some evidence that HIEs can improve care for vulnerable populations receiving acute care from different hospitals.

A two-pronged quality improvement training program for leaders and frontline staff.

BACKGROUND: A unique two-pronged QI training program was developed at Emory Healthcare (Atlanta), which encompasses five hospitals and a multispecialty physician practice. One two-day program, Leadership for Healthcare Improvement, is offered to leadership, and a four-month program, Practical Methods for Healthcare Improvement, is offered to frontline staff and middle managers. KNOWLEDGE ASSESSMENT: Participants in the leadership program completed self-assessments of QI competencies and pre- and postcourse QI knowledge tests. Semistructured interviews with selected participants in the practical methods program were performed to assess QI project sustainability and short-term outcomes. RESULTS: More than 600 employees completed one of the training programs in 2008 and 2009. Leadership course participants significantly improved knowledge in all content areas, and self-assessments revealed high comfort levels with QI principles following the training. All practical methods participants were able to initiate and implement QI projects. Participants described significant challenges with team functionality, but a majority of the QI projects made progress toward achieving their aim statement goals. A review of completed projects shows that a significant number were sustained up to one year after program completion. Quality leaders continue to modify the program based on learner feedback and institutional goals. CONCLUSIONS: This initiative shows the feasibility of implementing a broad-based in-house QI training program for multidisciplinary staff across an integrated health system. Initial assessment shows knowledge improvements and successful QI project implementations, with many projects active up to one year following the courses.

Nurses' perceptions and experiences with the implementation of a medication administration system.

The purpose of this article was to describe facilitators and barriers to the implementation of a commercially available electronic medication administration record system at two pediatric hospitals. Qualitative interviews were conducted at 6 and 18 months after implementation with a convenience sample of nurses working on either the medical-surgical or ICUs. The 18-month interview reassessed barriers identified to the adoption of the electronic medication administration record system at the 6-month interview. The vast majority of respondents (85%) indicated that the implementation plan met their expectations. The most significant barrier to adoption (identified by 72% of respondents) was excessive time for logging into the system. After 18 months, respondent satisfaction increased considerably as modifications to the electronic medication administration record system were made, and adjustments to workflow resulted in streamlined nurse work processes coupled with increased productivity and enhanced patient safety. While this study confirms that nursing staff acceptance of health information technology is aided by the system's ability to improve patient safety and accessibility of patient information, we also found that factors unrelated to the actual software or the system could be important determinants of users' satisfaction.