Continuous Remote Patient Monitoring in Patients With Heart Failure (Cascade Study): Protocol for a Mixed Methods Feasibility Study.

BACKGROUND: Heart failure (HF) is a prevalent chronic disease and is associated with increases in mortality and morbidity. HF is a leading cause of hospitalizations and readmissions in the United States. A potentially promising area for preventing HF readmissions is continuous remote patient monitoring (CRPM). OBJECTIVE: The primary aim of this study is to determine the feasibility and preliminary efficacy of a CRPM solution in patients with HF at NorthShore University HealthSystem. METHODS: This study is a feasibility study and uses a wearable biosensor to continuously remotely monitor patients with HF for 30 days after discharge. Eligible patients admitted with an HF exacerbation at NorthShore University HealthSystem are being recruited, and the wearable biosensor is placed before discharge. The biosensor collects physiological ambulatory data, which are analyzed for signs of patient deterioration. Participants are also completing a daily survey through a dedicated study smartphone. If prespecified criteria from the physiological data and survey results are met, a notification is triggered, and a predetermined electronic health record-based pathway of telephonic management is completed. In phase 1, which has already been completed, 5 patients were enrolled and monitored for 30 days after discharge. The results of phase 1 were analyzed, and modifications to the program were made to optimize it. After analysis of the phase 1 results, 15 patients are being enrolled for phase 2, which is a calibration and testing period to enable further adjustments to be made. After phase 2, we will enroll 45 patients for phase 3. The combined results of phases 1, 2, and 3 will be analyzed to determine the feasibility of a CRPM program in patients with HF. Semistructured interviews are being conducted with key stakeholders, including patients, and these results will be analyzed using the affective adaptation of the technology acceptance model. RESULTS: During phase 1, of the 5 patients, 2 (40%) were readmitted during the study period. The study completion rate for phase 1 was 80% (4/5), and the study attrition rate was 20% (1/5). There were 57 protocol deviations out of 150 patient days in phase 1 of the study. The results of phase 1 were analyzed, and the study protocol was adjusted to optimize it for phases 2 and 3. Phase 2 and phase 3 results will be available by the end of 2022. CONCLUSIONS: A CRPM program may offer a low-risk solution to improve care of patients with HF after hospital discharge and may help to decrease readmission of patients with HF to the hospital. This protocol may also lay the groundwork for the use of CRPM solutions in other groups of patients considered to be at high risk. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36741.

The Impact of a Machine Learning Early Warning Score on Hospital Mortality: A Multicenter Clinical Intervention Trial.

OBJECTIVES: To determine the impact of a machine learning early warning risk score, electronic Cardiac Arrest Risk Triage (eCART), on mortality for elevated-risk adult inpatients. DESIGN: A pragmatic pre- and post-intervention study conducted over the same 10-month period in 2 consecutive years. SETTING: Four-hospital community-academic health system. PATIENTS: All adult patients admitted to a medical-surgical ward. INTERVENTIONS: During the baseline period, clinicians were blinded to eCART scores. During the intervention period, scores were presented to providers. Scores greater than or equal to 95th percentile were designated high risk prompting a physician assessment for ICU admission. Scores between the 89th and 95th percentiles were designated intermediate risk, triggering a nurse-directed workflow that included measuring vital signs every 2 hours and contacting a physician to review the treatment plan. MEASUREMENTS AND MAIN RESULTS: The primary outcome was all-cause inhospital mortality. Secondary measures included vital sign assessment within 2 hours, ICU transfer rate, and time to ICU transfer. A total of 60,261 patients were admitted during the study period, of which 6,681 (11.1%) met inclusion criteria (baseline period n = 3,191, intervention period n = 3,490). The intervention period was associated with a significant decrease in hospital mortality for the main cohort (8.8% vs 13.9%; p < 0.0001; adjusted odds ratio [OR], 0.60 [95% CI, 0.52-0.71]). A significant decrease in mortality was also seen for the average-risk cohort not subject to the intervention (0.49% vs 0.26%; p < 0.05; adjusted OR, 0.53 [95% CI, 0.41-0.74]). In subgroup analysis, the benefit was seen in both high- (17.9% vs 23.9%; p = 0.001) and intermediate-risk (2.0% vs 4.0 %; p = 0.005) patients. The intervention period was also associated with a significant increase in ICU transfers, decrease in time to ICU transfer, and increase in vital sign reassessment within 2 hours. CONCLUSIONS: Implementation of a machine learning early warning score-driven protocol was associated with reduced inhospital mortality, likely driven by earlier and more frequent ICU transfer.

Continuous Remote Patient Monitoring: Evaluation of the Heart Failure Cascade Soft Launch.

OBJECTIVE: We report on our experience of deploying a continuous remote patient monitoring (CRPM) study soft launch with structured cascading and escalation pathways on heart failure (HF) patients post-discharge. The lessons learned from the soft launch are used to modify and fine-tune the workflow process and study protocol. METHODS: This soft launch was conducted at NorthShore University HealthSystem's Evanston Hospital from December 2020 to March 2021. Patients were provided with non-invasive wearable biosensors that continuously collect ambulatory physiological data, and a study phone that collects patient-reported outcomes. The physiological data are analyzed by machine learning algorithms, potentially identifying physiological perturbation in HF patients. Alerts from this algorithm may be cascaded with other patient status data to inform home health nurses' (HHNs') management via a structured protocol. HHNs review the monitoring platform daily. If the patient's status meets specific criteria, HHNs perform assessments and escalate patient cases to the HF team for further guidance on early intervention. RESULTS: We enrolled five patients into the soft launch. Four participants adhered to study activities. Two out of five patients were readmitted, one due to HF, one due to infection. Observed miscommunication and protocol gaps were noted for protocol amendment. The study team adopted an organizational development method from change management theory to reconfigure the study protocol. CONCLUSION: We sought to automate the monitoring aspects of post-discharge care by aligning a new technology that generates streaming data from a wearable device with a complex, multi-provider workflow into a novel protocol using iterative design, implementation, and evaluation methods to monitor post-discharge HF patients. CRPM with structured escalation and telemonitoring protocol shows potential to maintain patients in their home environment and reduce HF-related readmissions. Our results suggest that further education to engage and empower frontline workers using advanced technology is essential to scale up the approach.

An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system.

An operationally implementable predictive model has been developed to forecast the number of COVID-19 infections in the patient population, hospital floor and ICU censuses, ventilator and related supply chain demand. The model is intended for clinical, operational, financial and supply chain leaders and executives of a comprehensive healthcare system responsible for making decisions that depend on epidemiological contingencies. This paper describes the model that was implemented at NorthShore University HealthSystem and is applicable to any communicable disease whose risk of reinfection for the duration of the pandemic is negligible.

Safe Transitions and Congregate Living in the Age of COVID-19: A Retrospective Cohort Study.

BACKGROUND: COVID-19 represents a grave risk to residents in skilled nursing facilities (SNFs). OBJECTIVE: To determine whether establishment of an appropriate-use committee was associated with a reduction in SNF utilization. DESIGNS, SETTING, AND PARTICIPANTS: Retrospective cohort study at NorthShore University HealthSystem, a multihospital integrated health system in northern Illinois. Participants were patients hospitalized from March 19, 2019, to July 16, 2020. INTERVENTION: Creation of a multidisciplinary committee to assess appropriateness of discharge to SNF following hospitalization. MAIN OUTCOME AND MEASURES: Primary outcome was total discharges to SNFs. Secondary outcomes were new discharges to SNFs, readmissions, length of stay (LOS), and COVID-19 incidence following discharge. RESULTS: Matched populations pre and post intervention were each 4424 patients. Post intervention, there was a relative reduction in total SNF discharges of 49.7% (odds ratio [OR], 0.42; 95% CI, 0.38-0.47) and in new SNF discharges of 66.9% (OR, 0.29; 95% CI, 0.25-0.34). Differences in readmissions and LOS were not statistically significant. For patients discharged to a SNF, 2.99% (95% CI, 1.59%-4.39%) developed COVID-19 within 30 days, compared with 0.26% (95% CI, 0.29%-0.93%) of patients discharged to other settings (P < .001). CONCLUSION: Implementing a review committee to assess for appropriateness of SNF use after a hospitalization during the COVID-19 pandemic is highly effective. There was no negative impact on safety or efficiency of hospital care, and reduced SNF use likely prevented several cases of COVID-19. This model could serve as a template for other hospitals to reduce the risks of COVID-19 in SNFs and as part of a value-based care strategy.

Clinical Analytics Prediction Engine (CAPE): Development, electronic health record integration and prospective validation of hospital mortality, 180-day mortality and 30-day readmission risk prediction models.

BACKGROUND: Numerous predictive models in the literature stratify patients by risk of mortality and readmission. Few prediction models have been developed to optimize impact while sustaining sufficient performance. OBJECTIVE: We aimed to derive models for hospital mortality, 180-day mortality and 30-day readmission, implement these models within our electronic health record and prospectively validate these models for use across an entire health system. MATERIALS & METHODS: We developed, integrated into our electronic health record and prospectively validated three predictive models using logistic regression from data collected from patients 18 to 99 years old who had an inpatient or observation admission at NorthShore University HealthSystem, a four-hospital integrated system in the United States, from January 2012 to September 2018. We analyzed the area under the receiver operating characteristic curve (AUC) for model performance. RESULTS: Models were derived and validated at three time points: retrospective, prospective at discharge, and prospective at 4 hours after presentation. AUCs of hospital mortality were 0.91, 0.89 and 0.77, respectively. AUCs for 30-day readmission were 0.71, 0.71 and 0.69, respectively. 180-day mortality models were only retrospectively validated with an AUC of 0.85. DISCUSSION: We were able to retain good model performance while optimizing potential model impact by also valuing model derivation efficiency, usability, sensitivity, generalizability and ability to prescribe timely interventions to reduce underlying risk. Measuring model impact by tying prediction models to interventions that are then rapidly tested will establish a path for meaningful clinical improvement and implementation.

Who Signs Up for and Engages in a Peer Support Heart Failure Self-management Intervention.

BACKGROUND: Many programs for patients with heart failure (HF) fail to improve clinical outcomes in part because of low rates of patient enrollment and engagement. A better understanding of patient characteristics associated with willingness to enroll and then engage in HF self-management programs will improve the design and targeting of programs. METHODS AND RESULTS: Analyses of screening, baseline, and engagement data from a randomized controlled effectiveness trial of an HF peer self-management support program were conducted. The median age of the 266 recently hospitalized HF patients who enrolled in the study was 69 years, 51% were female, and 26% were minorities (primarily African American). Of 135 randomized to the peer support intervention, only 39% engaged in either the group sessions or telephone peer support calls. Older white women who reported higher baseline health status, functioning, social support, and confidence in their ability to manage and less difficulty with the physical and emotional aspects of living with HF were the most likely to engage in program activities. Minority status and reporting a need for social support were both correlated with higher enrollment but lower engagement in the intervention. CONCLUSIONS: Although minority patients with poorer reported health status and social support were most likely to consent to participate in the study, participants who engaged in program activities were more likely to have higher baseline health status, functioning, and social support. Developing HF interventions that successfully engage participants most in need of HF self-management support remains a difficult challenge.

Implementation of a mortality prediction rule for real-time decision making: feasibility and validity.

BACKGROUND: A previously published, retrospectively derived prediction rule for death within 30 days of hospital admission has the potential to launch parallel interdisciplinary team activities. Whether or not patient care improves will depend on the validity of prospectively generated predictions, and the feasibility of generating them on demand for a critical proportion of inpatients. OBJECTIVE: To determine the feasibility of generating mortality predictions on admission and to validate their accuracy using the scoring weights of the retrospective rule. DESIGN: Prospective, sequential cohort. SETTING: Large, tertiary care, community hospital in the Midwestern United States PATIENTS: Adult patients admitted from the emergency department or scheduled for elective surgery RESULTS: Mortality predictions were generated on demand at the beginning of the hospitalization for 9312 (92.9%) out of a possible 10,027 cases. The area under the receiver operating curve for 30-day mortality was 0.850 (95% confidence interval: 0.833-0.866), indicating very good to excellent discrimination. The prospectively generated 30-day mortality risk had a strong association with the receipt of palliative care by hospital discharge, in-hospital mortality, and 180-day mortality, a fair association with the risk for 30-day readmissions and unplanned transfers to intensive care, and weak associations with receipt of intensive unit care ever within the hospitalization or the development of a new diagnosis that was not present on admission (ie, complication). CONCLUSIONS: Important prognostic information is feasible to obtain in a real-time, single-assessment process for a sizeable proportion of hospitalized patients.

Project BOOST implementation: lessons learned.

OBJECTIVES: Enhancing care coordination and reducing hospital readmissions have been a focus of multiple quality improvement (QI) initiatives. Project BOOST (Better Outcomes by Optimizing Safe Transitions) aims to enhance the discharge transition from hospital to home. Previous research indicates that QI initiatives originating externally often face difficulties gaining momentum or effecting lasting change in a hospital. We performed a qualitative evaluation of Project BOOST implementation by examining the successes and failures experienced by six pilot sites. We also evaluated the unique physician mentoring component of this program. Finally, we examined the impact of intensification of the physician mentoring model on adoption of BOOST interventions in two later Illinois cohorts (27 hospitals). METHODS: Qualitative analysis of six pilot hospitals used a process of methodological triangulation and analysis of the BOOST enrollment applications, the listserv, and content from telephone interviews. Evaluation of BOOST implementation at Illinois hospitals occurred via mid-year and year-end surveys. RESULTS: The identified common barriers included inadequate understanding of the current discharge process, insufficient administrative support, lack of protected time or dedicated resources, and lack of frontline staff buy-in. Facilitators of implementation included the mentor, a small beginning, teamwork, and proactive engagement of the patient. Notably, hospitals viewed their mentors as essential facilitators of change. Sites consistently commented that the individualized mentoring was extremely helpful and provided significant accountability and stimulated creativity. In the Illinois cohorts, the improved mentoring model showed more complete implementation of BOOST interventions. CONCLUSIONS: The implementation of Project BOOST was well received by hospitals, although sites faced substantial barriers consistent with other QI research reports. The unique mentorship element of Project BOOST proved extremely valuable in helping sites overcome their distinctive challenges and identify facilitators for success. The findings from this qualitative study should contribute to future BOOST implementation success and others' efforts to optimize hospital discharge transitions.

Spinal and paraspinal fungal infections associated with contaminated methylprednisolone injections.

BACKGROUND: A nationwide outbreak of fungal infections was traced to injection of Exserohilum-contaminated methylprednisolone. We describe our experience with patients who developed spinal or paraspinal infection after injection of contaminated methylprednisolone. METHODS: Data were assembled from the Michigan Department of Community Health, electronic medical records, and magnetic resonance imaging (MRI) reports. RESULTS: Of 544 patients who received an epidural injection from a contaminated lot of methylprednisolone at a pain clinic in southeastern Michigan, 153 (28%) were diagnosed at our institution with probable or confirmed spinal or paraspinal fungal infection at the injection site. Forty-one patients had both meningitis and spinal or paraspinal infection, and 112 had only spinal or paraspinal infection. Magnetic resonance imaging abnormalities included abscess, phlegmon, arachnoiditis, and osteomyelitis. Surgical debridement in 116 patients revealed epidural phlegmon and epidural abscess most often. Among 26 patients with an abnormal MRI but with no increase or change in chronic pain, 19 (73%) had infection identified at surgery. Fungal infection was confirmed in 78 patients (51%) by finding hyphae in tissues, positive polymerase chain reaction, or culture. Initial therapy was voriconazole plus liposomal amphotericin B in 115 patients (75%) and voriconazole alone in 38 patients (25%). As of January 31, 2014, 20 patients remained on an azole agent. Five patients died of infection. CONCLUSIONS: We report on 153 patients who had spinal or paraspinal fungal infection at the site of epidural injection of contaminated methylprednisolone. One hundred sixteen (76%) underwent operative debridement in addition to treatment with antifungal agents.

Project BOOST: effectiveness of a multihospital effort to reduce rehospitalization.

BACKGROUND: Rehospitalization is a prominent target for healthcare quality improvement and performance-based reimbursement. The generalizability of existing evidence on best practices is unknown. OBJECTIVE: To determine the effect of Project BOOST (Better Outcomes for Older adults through Safe Transitions) on rehospitalization rates and length of stay. DESIGN: Semicontrolled pre-post study. SETTING/PARTICIPANTS: Volunteer sample of 11 hospitals varying in geography, size, and academic affiliation. INTERVENTION: Hospitals implemented Project BOOST-recommended tools supported by an external quality improvement physician mentor. METHODS: Pre-post changes in readmission rates and length of stay within BOOST units, and between BOOST units and site-designated control units. RESULTS: The average rate of 30-day rehospitalization in BOOST units was 14.7% prior to implementation and 12.7% 12 months later (P = 0.010), reflecting an absolute reduction of 2% and a relative reduction of 13.6%. Rehospitalization rates for matched control units were 14.0% in the preintervention period and 14.1% in the postintervention period (P = 0.831). The mean absolute reduction in readmission rates in BOOST units compared to control units was 2.0% (P = 0.054 for signed rank test comparing differences in readmission rate reduction in BOOST units compared to site-matched control units). CONCLUSIONS: Participation in Project BOOST appeared to be associated with a decrease in readmission rates.

Magnetic resonance imaging screening to identify spinal and paraspinal infections associated with injections of contaminated methylprednisolone acetate.

IMPORTANCE: Injection of contaminated methylprednisolone has resulted in an unprecedented nationwide outbreak of Exserohilum rostratum fungal infections, manifested initially as meningitis and/or basilar stroke. Insidious onset of spinal or paraspinal infection at the injection site has been increasingly reported and is occurring months after receipt of injection with the contaminated drug. The clinical findings are often subtle and similar to those that led the patient to undergo the methylprednisolone injection. OBJECTIVE: To determine if patients who had not presented for medical care but who had received contaminated methylprednisolone developed spinal or paraspinal infection at the injection site using contrast-enhanced magnetic resonance imaging (MRI) screening. DESIGN, SETTING, AND PARTICIPANTS: There were 172 patients who had received an injection of contaminated methylprednisolone from a highly contaminated lot (No. 06292012@26) at a pain facility but had not presented for medical care related to adverse effects after the injection. Screening MRI was performed between November 9, 2012, and April 30, 2013. MAIN OUTCOMES AND MEASURES: Number of persons identified with previously undiagnosed spinal or paraspinal infection. RESULTS: Of the 172 patients screened, MRI was abnormal in 36 (21%), showing epidural or paraspinal abscess or phlegmon, arachnoiditis, spinal osteomyelitis or diskitis, or moderate to severe epidural, paraspinal, or intradural enhancement. Of the 115 patients asked about new or worsening back or neck pain, lower extremity weakness, or radiculopathy symptoms, 35 (30%) had at least 1 symptom. Thirty-five of the 36 patients with abnormal MRIs met the Centers for Disease Control and Prevention (CDC) case definition for probable (17 patients) or confirmed (18 patients) fungal spinal or paraspinal infection. All 35 patients were treated with antifungal agents (voriconazole, with or without liposomal amphotericin B), and 24 required surgical debridement. At the time of surgery, 17 of 24 patients (71%), including 5 patients who denied having symptoms, had laboratory evidence of fungal infection. CONCLUSIONS AND RELEVANCE: Among patients who underwent screening MRI to look for infection at the site of injection of contaminated methylprednisolone, 21% had an abnormal MRI, and all but one met CDC criteria for probable or confirmed fungal spinal or paraspinal infection. Screening MRI led to identification of patients who had minimal or no symptoms of spinal or paraspinal infection and allowed early initiation of medical and surgical treatment.

Randomized controlled effectiveness trial of reciprocal peer support in heart failure.

BACKGROUND: Although disease management programs for patients hospitalized with heart failure (HF) are effective, they are, however, often resource intensive, limiting their uptake. Peer support programs have led to improved outcomes among patients with other chronic conditions and may result in similar improvements for patients with HF. METHODS AND RESULTS: In this randomized controlled trial, reciprocal peer support (RPS) arm patients participated in a HF nurse practitioner-led goal setting group session, received brief training in peer communication skills, and were paired with another participant in their cohort with whom they were encouraged to talk weekly using a telephone platform. Participants were also encouraged to attend 3 nurse practitioner-facilitated peer support group sessions. Patients in the nurse care management arm attended a nurse practitioner-led session to address their HF care questions and receive HF educational materials and information on how to access care management services. The median age of the patients was 69 years; 51% were female and 26% were racial/ethnic minorities. Only 55% of RPS patients participated in peer calls or group sessions. In intention-to-treat analyses, the RPS and nurse care management groups did not differ in time-to-first all-cause rehospitalization or death or in mean numbers of rehospitalizations or deaths. There were no differences in improvements in 6-month measures of HF-specific quality of life or social support. Conclusions- Among patients recently hospitalized for HF, more than half of RPS participants had no or minimal engagement with the RPS program, and the program did not improve outcomes compared with usual HF nurse care management. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. UNIQUE IDENTIFIER: NCT00508508.

Mortality predictions on admission as a context for organizing care activities.

BACKGROUND: Favorable health outcomes are more likely to occur when the clinical team recognizes patients at risk and intervenes in consort. Prediction rules can identify high-risk subsets, but the availability of multiple rules for various conditions present implementation and assimilation challenges. METHODS: A prediction rule for 30-day mortality at the beginning of the hospitalization was derived in a retrospective cohort of adult inpatients from a community hospital in the Midwestern United States from 2008 to 2009, using clinical laboratory values, past medical history, and diagnoses present on admission. It was validated using 2010 data from the same and from a different hospital. The calculated mortality risk was then used to predict unplanned transfers to intensive care units, resuscitation attempts for cardiopulmonary arrests, a condition not present on admission (complications), intensive care unit utilization, palliative care status, in-hospital death, rehospitalizations within 30 days, and 180-day mortality. RESULTS: The predictions of 30-day mortality for the derivation and validation datasets had areas under the receiver operating characteristic curve of 0.88. The 30-day mortality risk was in turn a strong predictor for in-hospital death, palliative care status, 180-day mortality; a modest predictor for unplanned transfers and cardiopulmonary arrests; and a weaker predictor for the other events of interest. CONCLUSIONS: The probability of 30-day mortality provides health systems with an array of prognostic information that may provide a common reference point for organizing the clinical activities of the many health professionals involved in the care of the patient.

Evaluation of the B-SAFE campaign to reduce clinically significant warfarin-drug interactions among fee-for-service Medicare beneficiaries.

The objective of this study was to evaluate the effectiveness of a health communication campaign designed to reduce the rate of serious warfarin-related drug interactions. The B-SAFE campaign was conducted in 2009 to educate patients located in a Michigan hospital's service area about the risk of serious adverse drug events associated with warfarin. The rate of warfarin-related drug interactions among Medicare fee-for-service (FFS) patients admitted to the exposed hospital with hemorrhagic complications was compared with the rate of warfarin-related drug interactions among a similar cohort admitted to a control hospital before and after the campaign. The χ(2) test and logistic regression were used to analyze differences. The authors observed a marginally significant decline in the rate of warfarin-related drug interactions (odds ratio [OR] = 0.66; 95% confidence interval [CI] = 0.33-1.29) among FFS Medicare patients admitted for bleeding complications to the hospital targeted by the B-SAFE campaign. The same association was not observed in the control hospital (OR = 1.15; CI = 0.42-3.14). These findings suggest that patient exposure to the B-SAFE campaign may have resulted in a decrease in the rate of clinically significant warfarin-related drug interactions.

Making inpatient medication reconciliation patient centered, clinically relevant, and implementable: a consensus statement on key principles and necessary first steps.

This white paper identifies potential solutions to help ensure the utility and sustainability of this critical patient safety issue.

Making inpatient medication reconciliation patient centered, clinically relevant and implementable: a consensus statement on key principles and necessary first steps.

Medication errors and adverse events caused by them are common during and after a hospitalization. The impact of these events on patient welfare and the financial burden, both to the patient and the healthcare system, are significant. In 2005, The Joint Commission put forth medication reconciliation as National Patient Safety Goal (NPSG) No. 8 in an effort to minimize adverse events caused during these types of care transitions. However, the meaningful and systematic implementation of medication reconciliation, as expressed through NPSG No. 8, proved to be extraordinarily difficult for healthcare institutions around the country. Given the importance of accurate and complete medication reconciliation for patient safety occurring across the continuum of care, the Society of Hospital Medicine convened a stakeholder conference in 2009 to begin to identify and address: (1) barriers to implementation; (2) opportunities to identify best practices surrounding medication reconciliation; (3) the role of partnerships among traditional healthcare sites and nonclinical and other community-based organizations; and (4) metrics for measuring the processes involved in medication reconciliation and their impact on preventing harm to patients. The focus of the conference was oriented toward medication reconciliation for a hospitalized patient population; however, many of the themes and concepts derived would also apply to other care settings. This paper highlights the key domains needing to be addressed and suggests first steps toward doing so. An overarching principle derived at the conference is that medication reconciliation should not be viewed as an accreditation function. It must, first and foremost, be recognized as an important element of patient safety. From this principle, the participants identified ten key areas requiring further attention in order to move medication reconciliation toward this focus. 1 There is need for a uniformly acceptable and accepted definition of what constitutes a medication and what processes are encompassed by reconciliation. Clarifying these terms is critical to ensuring more uniform impact of medication reconciliation. 2 The varying roles of the multidisciplinary participants in the reconciliation process must be clearly defined. These role definitions should include those of the patient and family/caregiver and must occur locally, taking into account the need for flexibility in design given the varying structures and resources at healthcare sites. 3 Measures of the reconciliation processes must be clinically meaningful (i.e., of defined benefit to the patient) and derived through consultation with stakeholder groups. Those measures to be reported for national benchmarking and accreditation should be limited in number and clinically meaningful. 4 While a comprehensive reconciliation system is needed across the continuum of care, a phased approach to implementation, allowing it to start slowly and be tailored to local organizational structures and work flows, will increase the chances of successful organizational uptake. 5 Developing mechanisms for prospectively and proactively identifying patients at risk for medication-related adverse events and failed reconciliation is needed. Such an alert system would help maintain vigilance toward these patient safety issues and help focus additional resources on high risk patients. 6 Given the diversity in medication reconciliation practices, research aimed at identifying effective processes is important and should be funded with national resources. Funding should include varying sites of care (e.g., urban and rural, academic and nonacademic, etc.). 7 Strategies for medication reconciliation-both successes and key lessons learned from unsuccessful efforts-should be widely disseminated. 8 A personal health record that is integrated and easily transferable between sites of care is needed to facilitate successful medication reconciliation. 9 Partnerships between healthcare organizations and community-based organizations create opportunities to reinforce medication safety principles outside the traditional clinician-patient relationship. Leveraging the influence of these organizations and other social networking platforms may augment population-based understanding of their importance and role in medication safety. 10 Aligning healthcare payment structures with medication safety goals is critical to ensure allocation of adequate resources to design and implement effective medication reconciliation processes. Medication reconciliation is complex and made more complicated by the disjointed nature of the American healthcare system. Addressing these ten points with an overarching goal of focusing on patient safety rather than accreditation should result in improvements in medication reconciliation and the health of patients.

Hospitals during recession and recovery: vulnerable institutions and quality at risk.

For generations, American hospitals have been considered recession-proof, but there is reason to believe the current economic crisis is an exception. Hospitals have shown declining financial margins and decreased admissions. The severe recession has adversely affected many hospitals' finances, creating a risk of closure and constraining plans for expansion. We believe there is also a risk of harming clinical quality, through decreased staffing that may limit the momentum of the hospital quality movement, especially in fiscally vulnerable institutions. We consider ways the federal government could aid hospitals by promoting hospital quality while providing employment.

Hospitalist handoffs: a systematic review and task force recommendations.

BACKGROUND: Handoffs are ubiquitous to Hospital Medicine and are considered a vulnerable time for patient safety. PURPOSE: To develop recommendations for hospitalist handoffs during shift change and service change. DATA SOURCES: PubMed (through January 2007), Agency for Healthcare Research and Quality (AHRQ) Patient Safety Network, white papers, and hand search of article bibliographies. STUDY SELECTION: Controlled studies evaluating interventions to improve in-hospital handoffs (n = 10). DATA EXTRACTION: Studies were abstracted for design, setting, target, outcomes (including patient-level, staff-level, or system-level outcomes), and relevance to hospitalists. DATA SYNTHESIS: Although there were no studies of hospitalist handoffs, the existing literature from related disciplines and expert opinion support the use of a verbal handoff supplemented with written documentation in a structured format or technology solution. Technology solutions were associated with a reduction in preventable adverse events, improved satisfaction with handoff quality, and improved provider identification. Nursing studies demonstrate that supplementing verbal exchange with a written medium leads to improved retention of information. White papers characterized effective verbal exchange, as focusing on ill patients and actions required, with time for questions and minimal interruptions. In addition, content should be updated daily to ensure communication of the latest clinical information. Using this literature, recommendations for hospitalist handoffs are presented with corresponding levels of evidence. Recommendations were reviewed by hospitalists at the Society of Hospital Medicine (SHM) Annual Meeting and by an interdisciplinary team of expert consultants and were endorsed by the SHM governing board. CONCLUSIONS: The systematic review and resulting recommendations provide hospitalists a starting point from which to improve in-hospital handoffs.