Dataset Information

Development, implementation and user experience of the Veterans Health Administration (VHA) dialysis dashboard.

ABSTRACT: BACKGROUND:Adults with end-stage renal disease (ESRD) requiring chronic dialysis continue to suffer from poor health outcomes and represent a population rightfully targeted for quality improvement. Electronic dashboards are increasingly used in healthcare to facilitate quality measurement and improvement. However, detailed descriptions of the creation of healthcare dashboards are uncommonly available and formal inquiry into perceptions, satisfaction, and utility by clinical users has been rarely conducted, particularly in the context of dialysis care. Therefore, we characterized the development, implementation and user experience with Veterans Health Administration (VHA) dialysis dashboard. METHODS:A clinical-quality dialysis dashboard was implemented, which displays clinical performance measures (CPMs) for Veterans with ESRD receiving chronic hemodialysis at all VHA facilities. Data on user experience and perceptions were collected via an e-mail questionnaire to dialysis medical directors and nurse managers at these facilities. RESULTS:Since 2016 the dialysis dashboard reports monthly on CPMs for approximately 3000 Veterans receiving chronic hemodialysis across 70 VHA dialysis facilities. Of 141 dialysis medical directors and nurse managers, 61 completed the questionnaire. Sixty-six percent of respondents did not find the dashboard difficult to access, 64% agreed that it is easy to use, 59% agreed that its layout is good, and the majority agreed that presentation of data is clear (54%), accurate (56%), and up-to-date (54%). Forty-eight percent of respondents indicated that it helped them improve patient care while 12% did not. Respondents indicated that they used the dialysis dashboard for clinical reporting (71%), quality assessment/performance improvement (QAPI) (62%), and decision-making (23%). CONCLUSIONS:Most users of the VHA dialysis dashboard found it accurate, up-to-date, easy to use, and helpful in improving patient care. It meets diverse user needs, including administrative reporting, clinical benchmarking and decision-making, and quality assurance and performance improvement (QAPI) activities. Moreover, the VHA dialysis dashboard affords national-, regional- and facility-level assessments of quality of care, guides and motivates best clinical practices, targets QAPI efforts, and informs and promotes population health management improvement efforts for Veterans receiving chronic hemodialysis.

SUBMITTER: Fischer MJ

PROVIDER: S-EPMC7160999 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundIn 2011, the Veterans Health Administration (VHA) released the Acute Ischemic Stroke (AIS) Directive, which mandated reorganization of acute stroke care, including self-designation of stroke centers as Primary (P), Limited Hours (LH), or Supporting (S).ObjectivesIn partnership with the VHA Offices of Emergency Medicine and Specialty Care Services, the VA Stroke QUERI conducted a formative evaluation in a national sample of three levels of stroke centers in order to understand barriers and facilitators.Design and approachThe evaluation consisted of a mixed-methods assessment that included a qualitative assessment of data from semi-structured interviews with key informants and a quantitative assessment of stroke quality-of-care data reporting practices by facility characteristics.ParticipantsThe final sample included 38 facilities (84 % participation rate): nine P, 24 LH, and five S facilities. In total, we interviewed 107 clinicians and 16 regional Veterans Integrated Service Network (VISN) leaders.ResultsAcross all three levels of stroke centers, stroke teams identified the specific need for systematic nurse training to triage and initiate stroke protocols. The most frequently reported barriers centered around quality-of-care data collection. A low number of eligible veterans arriving at the VAMC in a timely manner was another major impediment. The LH and S facilities reported some unique barriers: access to radiology and neurology services; EMS diverting stroke patients to nearby stroke centers, maintaining staff competency, and a lack of stroke clinical champions. Solutions that were applied included developing stroke order sets and templates to provide systematic decision support, implementing a stroke code in the facility for a coordinated response to stroke, and staff resource allocation and training. Data reporting by facility evaluation demonstrated that categorizing site volume did indicate a lower likelihood of reporting among VAMCs with 25-49 acute stroke admissions per year.ConclusionsThe AIS Directive brought focused attention to reorganizing stroke care across a wide range of facility types. Larger VA facilities tended to follow established practices for organizing stroke care, but the unique addition of the LH designation presented some challenges. S facilities tended to report a lack of a coordinated stroke team and champion to drive process changes.

Project description:BackgroundThere are challenges associated with measuring sustainment of evidence-informed practices (EIPs). First, the terms sustainability and sustainment are often falsely conflated: sustainability assesses the likelihood of an EIP being in use in the future while sustainment assesses the extent to which an EIP is (or is not) in use. Second, grant funding often ends before sustainment can be assessed. The Veterans Health Administration (VHA) Diffusion of Excellence (DoE) program is one of few large-scale models of diffusion; it seeks to identify and disseminate practices across the VHA system. The DoE sponsors "Shark Tank" competitions, in which leaders bid on the opportunity to implement a practice with approximately 6 months of implementation support. As part of an ongoing evaluation of the DoE, we sought to develop and pilot a pragmatic survey tool to assess sustainment of DoE practices.MethodsIn June 2020, surveys were sent to 64 facilities that were part of the DoE evaluation. We began analysis by comparing alignment of quantitative and qualitative responses; some facility representatives reported in the open-text box of the survey that their practice was on a temporary hold due to COVID-19 but answered the primary outcome question differently. As a result, the team reclassified the primary outcome of these facilities to Sustained: Temporary COVID-Hold. Following this reclassification, the number and percent of facilities in each category was calculated. We used directed content analysis, guided by the Consolidated Framework for Implementation Research (CFIR), to analyze open-text box responses.ResultsA representative from forty-one facilities (64%) completed the survey. Among responding facilities, 29/41 sustained their practice, 1/41 partially sustained their practice, 8/41 had not sustained their practice, and 3/41 had never implemented their practice. Sustainment rates increased between Cohorts 1-4.ConclusionsThe initial development and piloting of our pragmatic survey allowed us to assess sustainment of DoE practices. Planned updates to the survey will enable flexibility in assessing sustainment and its determinants at any phase after adoption. This assessment approach can flex with the longitudinal and dynamic nature of sustainment, including capturing nuances in outcomes when practices are on a temporary hold. If additional piloting illustrates the survey is useful, we plan to assess the reliability and validity of this measure for broader use in the field.

Project description:BACKGROUND:Inappropriate testosterone use and variations in testosterone prescribing patterns exist in the Veterans Health Administration (VHA) despite the presence of clinical guidelines. OBJECTIVE:We examined system and clinician factors that contribute to patterns of potentially inappropriate testosterone prescribing in VHA. DESIGN:Qualitative study using a positive deviance approach to understand practice variation in high- and low-testosterone prescribing sites. PARTICIPANTS:Twenty-two interview participants included primary care and specialty clinicians, key opinion leaders, and pharmacists at 3 high- and 3 low-testosterone prescribing sites. APPROACH:Semi-structured phone interviews were conducted, transcribed, and coded using a priori theoretical constructs and emergent themes. Case studies were developed for each site and a cross-case matrix was created to evaluate variation across high- and low-prescribing sites. KEY RESULTS:We identified four system-level domains related to variation in testosterone prescribing: organizational structures and processes specific to testosterone prescribing, availability of local guidance on testosterone prescribing, well-defined dissemination process for local testosterone polices, and engagement in best practices related to testosterone prescribing. Two clinician-level domains were also identified, specifically, structured initial testosterone prescribing process and specified follow-up testosterone prescribing process. High- and low-testosterone prescribing sites systematically varied in the four system-level domains, while the clinician-level domains looked similar across all sites. The third high-prescribing site was unusual in that it exhibited the four domains similar to the 3 low-prescribing sites at the time of our visit. This site had greatly reduced its prescribing of testosterone in the interim. CONCLUSIONS:Findings suggest that local organizational factors play an important role in influencing prescribing. Sites have the potential to transform their utilization patterns by providing access to specialty care expertise, an electronic health record-based system to facilitate guideline-concordant prescribing, well-defined dissemination processes for information, guidance from multiple sources, and clarity regarding best practices for prescribing.

Dataset Information

Development, implementation and user experience of the Veterans Health Administration (VHA) dialysis dashboard.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets