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      Measuring the Delivery of Complex Interventions through Electronic Medical Records: Challenges and Lessons Learned

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          Abstract

          Background:

          Health services and implementation researchers often seek to capture the implementation process of complex interventions yet explicit guidance on how to capture this process is limited. Medical record review is a commonly used methodology, especially when used as a proxy for provider behavior, with recognized benefits and limitations. The purpose of this study was to test the feasibility of chart review to measure implementation and offer recommendations for future researchers using this method to capture the implementation process.

          Methods:

          Grounded in qualitative research methods, we measured the implementation of a transitional care intervention for older adults with dementia being discharged from the hospital. We adapted the operationalization of the intervention’s components to suit chart review methods, sought input from hospital providers before and after data collection, and assessed the agreement between the results of our chart review and provider-report.

          Findings:

          We believe chart review can be used effectively as a method for capturing the implementation process and provide future researchers with a list of recommendations based on our experience including understanding the nuance between data extraction versus data abstraction, allowing for large amounts of data not pre-specified in the data collection instrument to be collected, and purposefully and iteratively engaging the providers who are entering data into the chart.

          Major Themes:

          Measuring the implementation of complex interventions is a cornerstone in health services research and with the relative convenience and low costs of using chart data, we believe with more use and refinement this methodology could emerge as a valuable and widely used method in the field.

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          Most cited references24

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          A reengineered hospital discharge program to decrease rehospitalization: a randomized trial.

          Emergency department visits and rehospitalization are common after hospital discharge. To test the effects of an intervention designed to minimize hospital utilization after discharge. Randomized trial using block randomization of 6 and 8. Randomly arranged index cards were placed in opaque envelopes labeled consecutively with study numbers, and participants were assigned a study group by revealing the index card. General medical service at an urban, academic, safety-net hospital. 749 English-speaking hospitalized adults (mean age, 49.9 years). A nurse discharge advocate worked with patients during their hospital stay to arrange follow-up appointments, confirm medication reconciliation, and conduct patient education with an individualized instruction booklet that was sent to their primary care provider. A clinical pharmacist called patients 2 to 4 days after discharge to reinforce the discharge plan and review medications. Participants and providers were not blinded to treatment assignment. Primary outcomes were emergency department visits and hospitalizations within 30 days of discharge. Secondary outcomes were self-reported preparedness for discharge and frequency of primary care providers' follow-up within 30 days of discharge. Research staff doing follow-up were blinded to study group assignment. Participants in the intervention group (n = 370) had a lower rate of hospital utilization than those receiving usual care (n = 368) (0.314 vs. 0.451 visit per person per month; incidence rate ratio, 0.695 [95% CI, 0.515 to 0.937]; P = 0.009). The intervention was most effective among participants with hospital utilization in the 6 months before index admission (P = 0.014). Adverse events were not assessed; these data were collected but are still being analyzed. This was a single-center study in which not all potentially eligible patients could be enrolled, and outcome assessment sometimes relied on participant report. A package of discharge services reduced hospital utilization within 30 days of discharge. Agency for Healthcare Research and Quality and National Heart, Lung, and Blood Institute, National Institutes of Health.
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            Improving the quality of transitional care for persons with complex care needs.

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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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                Author and article information

                Contributors
                Journal
                EGEMS (Wash DC)
                EGEMS (Wash DC)
                2327-9214
                eGEMs
                Ubiquity Press
                2327-9214
                25 May 2018
                2018
                : 6
                : 1
                : 10
                Affiliations
                [1 ]Vanderbilt University Medical Center, US
                [2 ]Washington University in St. Louis, US
                Author information
                http://orcid.org/0000-0001-8495-0836
                Article
                10.5334/egems.230
                6078114
                bd7afe0d-6c6c-4b09-8873-82c6b1ed1009
                Copyright: © 2018 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 October 2017
                : 06 April 2018
                Categories
                Case Study

                electronic health records,implementation science,health services research,delivery of health care,quality improvement

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