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      Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial

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          Abstract

          Background

          Coordination of care, especially after a patient experiences an acute care event, is a challenge for many health systems. Event notification is a form of health information exchange (HIE) which has the potential to support care coordination by alerting primary care providers when a patient experiences an acute care event. While promising, there exists little evidence on the impact of event notification in support of reengagement into primary care. The objectives of this study are to 1) examine the effectiveness of event notification on health outcomes for older adults who experience acute care events, and 2) compare approaches to how providers respond to event notifications.

          Methods

          In a cluster randomized trial conducted across two medical centers within the U.S. Veterans Health Administration (VHA) system, we plan to enroll older patients (≥ 65 years of age) who utilize both VHA and non-VHA providers. Patients will be enrolled into one of three arms: 1) usual care; 2) event notifications only; or 3) event notifications plus a care transitions intervention. In the event notification arms, following a non-VHA acute care encounter, an HIE-based intervention will send an event notification to VHA providers. Patients in the event notification plus care transitions arm will also receive 30 days of care transition support from a social worker. The primary outcome measure is 90-day readmission rate. Secondary outcomes will be high risk medication discrepancies as well as care transitions processes within the VHA health system. Qualitative assessments of the intervention will inform VHA system-wide implementation.

          Discussion

          While HIE has been evaluated in other contexts, little evidence exists on HIE-enabled event notification interventions. Furthermore, this trial offers the opportunity to examine the use of event notifications that trigger a care transitions intervention to further support coordination of care.

          Trial registration

          ClinicalTrials.gov NCT02689076. “Regional Data Exchange to Improve Care for Veterans After Non-VA Hospitalization.” Registered 23 February 2016.

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          Most cited references39

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          Incidence and preventability of adverse drug events among older persons in the ambulatory setting.

          Adverse drug events, especially those that may be preventable, are among the most serious concerns about medication use in older persons cared for in the ambulatory clinical setting. To assess the incidence and preventability of adverse drug events among older persons in the ambulatory clinical setting. Cohort study of all Medicare enrollees (30 397 person-years of observation) cared for by a multispecialty group practice during a 12-month study period (July 1, 1999, through June 30, 2000), in which possible drug-related incidents occurring in the ambulatory clinical setting were detected using multiple methods, including reports from health care providers; review of hospital discharge summaries; review of emergency department notes; computer-generated signals; automated free-text review of electronic clinic notes; and review of administrative incident reports concerning medication errors. Number of adverse drug events, severity of the events (classified as significant, serious, life-threatening, or fatal), and whether the events were preventable. There were 1523 identified adverse drug events, of which 27.6% (421) were considered preventable. The overall rate of adverse drug events was 50.1 per 1000 person-years, with a rate of 13.8 preventable adverse drug events per 1000 person-years. Of the adverse drug events, 578 (38.0%) were categorized as serious, life-threatening, or fatal; 244 (42.2%) of these more severe events were deemed preventable compared with 177 (18.7%) of the 945 significant adverse drug events. Errors associated with preventable adverse drug events occurred most often at the stages of prescribing (n = 246, 58.4%) and monitoring (n = 256, 60.8%), and errors involving patient adherence (n = 89, 21.1%) also were common. Cardiovascular medications (24.5%), followed by diuretics (22.1%), nonopioid analgesics (15.4%), hypoglycemics (10.9%), and anticoagulants (10.2%) were the most common medication categories associated with preventable adverse drug events. Electrolyte/renal (26.6%), gastrointestinal tract (21.1%), hemorrhagic (15.9%), metabolic/endocrine (13.8%), and neuropsychiatric (8.6%) events were the most common types of preventable adverse drug events. Adverse drug events are common and often preventable among older persons in the ambulatory clinical setting. More serious adverse drug events are more likely to be preventable. Prevention strategies should target the prescribing and monitoring stages of pharmaceutical care. Interventions focused on improving patient adherence with prescribed regimens and monitoring of prescribed medications also may be beneficial.
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            Comprehensive discharge planning and home follow-up of hospitalized elders: a randomized clinical trial.

            Comprehensive discharge planning by advanced practice nurses has demonstrated short-term reductions in readmissions of elderly patients, but the benefits of more intensive follow-up of hospitalized elders at risk for poor outcomes after discharge has not been studied. To examine the effectiveness of an advanced practice nurse-centered discharge planning and home follow-up intervention for elders at risk for hospital readmissions. Randomized clinical trial with follow-up at 2, 6, 12, and 24 weeks after index hospital discharge. Two urban, academically affiliated hospitals in Philadelphia, Pa. Eligible patients were 65 years or older, hospitalized between August 1992 and March 1996, and had 1 of several medical and surgical reasons for admission. Intervention group patients received a comprehensive discharge planning and home follow-up protocol designed specifically for elders at risk for poor outcomes after discharge and implemented by advanced practice nurses. Readmissions, time to first readmission, acute care visits after discharge, costs, functional status, depression, and patient satisfaction. A total of 363 patients (186 in the control group and 177 in the intervention group) were enrolled in the study; 70% of intervention and 74% of control subjects completed the trial. Mean age of sample was 75 years; 50% were men and 45% were black. By week 24 after the index hospital discharge, control group patients were more likely than intervention group patients to be readmitted at least once (37.1 % vs 20.3 %; P<.001). Fewer intervention group patients had multiple readmissions (6.2% vs 14.5%; P = .01) and the intervention group had fewer hospital days per patient (1.53 vs 4.09 days; P<.001). Time to first readmission was increased in the intervention group (P<.001). At 24 weeks after discharge, total Medicare reimbursements for health services were about $1.2 million in the control group vs about $0.6 million in the intervention group (P<.001). There were no significant group differences in post-discharge acute care visits, functional status, depression, or patient satisfaction. An advanced practice nurse-centered discharge planning and home care intervention for at-risk hospitalized elders reduced readmissions, lengthened the time between discharge and readmission, and decreased the costs of providing health care. Thus, the intervention demonstrated great potential in promoting positive outcomes for hospitalized elders at high risk for rehospitalization while reducing costs.
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              Geriatric care management for low-income seniors: a randomized controlled trial.

              Low-income seniors frequently have multiple chronic medical conditions for which they often fail to receive the recommended standard of care. To test the effectiveness of a geriatric care management model on improving the quality of care for low-income seniors in primary care. Controlled clinical trial of 951 adults 65 years or older with an annual income less than 200% of the federal poverty level, whose primary care physicians were randomized from January 2002 through August 2004 to participate in the intervention (474 patients) or usual care (477 patients) in community-based health centers. Patients received 2 years of home-based care management by a nurse practitioner and social worker who collaborated with the primary care physician and a geriatrics interdisciplinary team and were guided by 12 care protocols for common geriatric conditions. The Medical Outcomes 36-Item Short-Form (SF-36) scales and summary measures; instrumental and basic activities of daily living (ADLs); and emergency department (ED) visits not resulting in hospitalization and hospitalizations. Intention-to-treat analysis revealed significant improvements for intervention patients compared with usual care at 24 months in 4 of 8 SF-36 scales: general health (0.2 vs -2.3, P = .045), vitality (2.6 vs -2.6, P < .001), social functioning (3.0 vs -2.3, P = .008), and mental health (3.6 vs -0.3, P = .001); and in the Mental Component Summary (2.1 vs -0.3, P < .001). No group differences were found for ADLs or death. The cumulative 2-year ED visit rate per 1000 was lower in the intervention group (1445 [n = 474] vs 1748 [n = 477], P = .03) but hospital admission rates per 1000 were not significantly different between groups (700 [n = 474] vs 740 [n = 477], P = .66). In a predefined group at high risk of hospitalization (comprising 112 intervention and 114 usual-care patients), ED visit and hospital admission rates were lower for intervention patients in the second year (848 [n = 106] vs 1314 [n = 105]; P = .03 and 396 [n = 106] vs 705 [n = 105]; P = .03, respectively). Integrated and home-based geriatric care management resulted in improved quality of care and reduced acute care utilization among a high-risk group. Improvements in health-related quality of life were mixed and physical function outcomes did not differ between groups. Future studies are needed to determine whether more specific targeting will improve the program's effectiveness and whether reductions in acute care utilization will offset program costs. clinicaltrials.gov Identifier: NCT00182962.
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                Author and article information

                Contributors
                Brian.Dixon@va.gov
                Ashley.Schwartzkopf@va.gov
                Vivian.GuerreroAquino@va.gov
                Justine.May@va.gov
                Nicholas.Koufacos@va.gov
                Andrew.Bean@va.gov
                Joan.Penrod@va.gov
                Cathy.Schubert@va.gov
                Kenneth.Boockvar@va.gov
                Journal
                BMC Med Inform Decis Mak
                BMC Med Inform Decis Mak
                BMC Medical Informatics and Decision Making
                BioMed Central (London )
                1472-6947
                4 July 2019
                4 July 2019
                2019
                : 19
                : 125
                Affiliations
                [1 ]Department of Veterans Affairs, Health Services Research & Development Service, Center for Health Information and Communication, 1481 W. 10th St, 11H, Indianapolis, IN 46202 USA
                [2 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Indiana University, Fairbanks School of Public Health, ; 1050 Wishard Blvd, Indianapolis, IN 46202 USA
                [3 ]ISNI 0000 0001 2287 2027, GRID grid.448342.d, Regenstrief Institute, Center for Biomedical Informatics, ; 1101 W 10th St, Indianapolis, IN 46202 USA
                [4 ]ISNI 0000 0004 0420 1184, GRID grid.274295.f, Department of Veterans Affairs, , James J. Peters VA Medical Center, ; 130 W Kingsbridge Rd, Bronx, NY 10468 USA
                [5 ]ISNI 0000 0001 0670 2351, GRID grid.59734.3c, Icahn School of Medicine at Mount Sinai, ; 1 Gustave L. Levy Pl, New York, NY 10029 USA
                [6 ]ISNI 0000 0001 2287 3919, GRID grid.257413.6, Indiana University, School of Medicine, ; 1101 W. 10th St, Indianapolis, IN 46202 USA
                Author information
                http://orcid.org/0000-0002-1121-0607
                Article
                849
                10.1186/s12911-019-0849-1
                6611045
                31272427
                92e24c05-f5c8-4483-9751-0a7286fcf63a
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 27 February 2019
                : 24 June 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000738, U.S. Department of Veterans Affairs;
                Award ID: I01 HX001563
                Award Recipient :
                Categories
                Study Protocol
                Custom metadata
                © The Author(s) 2019

                Bioinformatics & Computational biology
                health information exchange,veterans health,reminder systems,community networks,hospitalization,emergency service,hospital

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