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      Sharing Annotated Audio Recordings of Clinic Visits With Patients—Development of the Open Recording Automated Logging System (ORALS): Study Protocol

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          Abstract

          Background

          Providing patients with recordings of their clinic visits enhances patient and family engagement, yet few organizations routinely offer recordings. Challenges exist for organizations and patients, including data safety and navigating lengthy recordings. A secure system that allows patients to easily navigate recordings may be a solution.

          Objective

          The aim of this project is to develop and test an interoperable system to facilitate routine recording, the Open Recording Automated Logging System (ORALS), with the aim of increasing patient and family engagement. ORALS will consist of (1) technically proficient software using automated machine learning technology to enable accurate and automatic tagging of in-clinic audio recordings (tagging involves identifying elements of the clinic visit most important to patients [eg, treatment plan] on the recording) and (2) a secure, easy-to-use Web interface enabling the upload and accurate linkage of recordings to patients, which can be accessed at home.

          Methods

          We will use a mixed methods approach to develop and formatively test ORALS in 4 iterative stages: case study of pioneer clinics where recordings are currently offered to patients, ORALS design and user experience testing, ORALS software and user interface development, and rapid cycle testing of ORALS in a primary care clinic, assessing impact on patient and family engagement. Dartmouth’s Informatics Collaboratory for Design, Development and Dissemination team, patients, patient partners, caregivers, and clinicians will assist in developing ORALS.

          Results

          We will implement a publication plan that includes a final project report and articles for peer-reviewed journals. In addition to this work, we will regularly report on our progress using popular relevant Tweet chats and online using our website, www.openrecordings.org. We will disseminate our work at relevant conferences (eg, Academy Health, Health Datapalooza, and the Institute for Healthcare Improvement Quality Forums). Finally, Iora Health, a US-wide network of primary care practices (www.iorahealth.com), has indicated a willingness to implement ORALS on a larger scale upon completion of this development project.

          Conclusions

          Upon the completion of this project we will have developed a novel recording system that will be ready for large-scale testing. Our long-term goal is for ORALS to seamlessly fit into a clinic’s and patient’s daily routine, increasing levels of patient engagement and transparency of care.

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          Most cited references56

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          Qualitative data analysis for applied policy research

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            Development and testing of a short form of the patient activation measure.

            The Patient Activation Measure (PAM) is a 22-item measure that assesses patient knowledge, skill, and confidence for self-management. The measure was developed using Rasch analyses and is an interval level, unidimensional, Guttman-like measure. The current analysis is aimed at reducing the number of items in the measure while maintaining adequate precision. We relied on an iterative use of Rasch analysis to identify items that could be eliminated without loss of significant precision and reliability. With each item deletion, the item scale locations were recalibrated and the person reliability evaluated to check if and how much of a decline in precision of measurement resulted from the deletion of the item. The data used in the analysis were the same data used in the development of the original 22-item measure. These data were collected in 2003 via a telephone survey of 1,515 randomly selected adults. Principal Findings. The analysis yielded a 13-item measure that has psychometric properties similar to the original 22-item version. The scores for the 13-item measure range in value from 38.6 to 53.0 (on a theoretical 0-100 point scale). The range of values is essentially unchanged from the original 22-item version. Subgroup analysis suggests that there is a slight loss of precision with some subgroups. The results of the analysis indicate that the shortened 13-item version is both reliable and valid.
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              Inviting patients to read their doctors' notes: a quasi-experimental study and a look ahead.

              Little information exists about what primary care physicians (PCPs) and patients experience if patients are invited to read their doctors' office notes. To evaluate the effect on doctors and patients of facilitating patient access to visit notes over secure Internet portals. Quasi-experimental trial of PCPs and patient volunteers in a year-long program that provided patients with electronic links to their doctors' notes. Primary care practices at Beth Israel Deaconess Medical Center (BIDMC) in Massachusetts, Geisinger Health System (GHS) in Pennsylvania, and Harborview Medical Center (HMC) in Washington. 105 PCPs and 13 564 of their patients who had at least 1 completed note available during the intervention period. Portal use and electronic messaging by patients and surveys focusing on participants' perceptions of behaviors, benefits, and negative consequences. 11 797 of 13 564 patients with visit notes available opened at least 1 note (84% at BIDMC, 92% at GHS, and 47% at HMC). Of 5391 patients who opened at least 1 note and completed a postintervention survey, 77% to 87% across the 3 sites reported that open notes helped them feel more in control of their care; 60% to 78% of those taking medications reported increased medication adherence; 26% to 36% had privacy concerns; 1% to 8% reported that the notes caused confusion, worry, or offense; and 20% to 42% reported sharing notes with others. The volume of electronic messages from patients did not change. After the intervention, few doctors reported longer visits (0% to 5%) or more time addressing patients' questions outside of visits (0% to 8%), with practice size having little effect; 3% to 36% of doctors reported changing documentation content; and 0% to 21% reported taking more time writing notes. Looking ahead, 59% to 62% of patients believed that they should be able to add comments to a doctor's note. One out of 3 patients believed that they should be able to approve the notes' contents, but 85% to 96% of doctors did not agree. At the end of the experimental period, 99% of patients wanted open notes to continue and no doctor elected to stop. Only 3 geographic areas were represented, and most participants were experienced in using portals. Doctors volunteering to participate and patients using portals and completing surveys may tend to offer favorable feedback, and the response rate of the patient surveys (41%) may further limit generalizability. Patients accessed visit notes frequently, a large majority reported clinically relevant benefits and minimal concerns, and virtually all patients wanted the practice to continue. With doctors experiencing no more than a modest effect on their work lives, open notes seem worthy of widespread adoption. The Robert Wood Johnson Foundation, the Drane Family Fund, the Richard and Florence Koplow Charitable Foundation, and the National Cancer Institute.
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                Author and article information

                Contributors
                Journal
                JMIR Res Protoc
                JMIR Res Protoc
                ResProt
                JMIR Research Protocols
                JMIR Publications (Toronto, Canada )
                1929-0748
                July 2017
                06 July 2017
                : 6
                : 7
                : e121
                Affiliations
                [1] 1 The Dartmouth Institute for Health Policy and Clinical Practice Geisel School of Medicine Dartmouth College Lebanon, NH United States
                [2] 2 Department of Biomedical Data Science Geisel School of Medicine Dartmouth College Lebanon, NH United States
                [3] 3 Department of Computer Science Dartmouth College Hanover, NH United States
                [4] 4 Department of Epidemiology Geisel School of Medicine Dartmouth College Lebanon, NH United States
                [5] 5 Patient Partner Hanover, NH United States
                [6] 6 Oliver Center for Patient Safety and Quality Healthcare University of Texas Medical Branch Galveston, TX United States
                [7] 7 Patient Partner Ludington, MI United States
                [8] 8 Dartmouth College Hanover, NH United States
                [9] 9 Ryan Family Practice Ludington, MI United States
                Author notes
                Corresponding Author: Paul J Barr paul.j.barr@ 123456dartmouth.edu
                Author information
                http://orcid.org/0000-0002-6868-7625
                http://orcid.org/0000-0002-4842-2443
                http://orcid.org/0000-0001-6994-1720
                http://orcid.org/0000-0002-6221-0850
                http://orcid.org/0000-0002-0296-1644
                http://orcid.org/0000-0001-9460-6414
                http://orcid.org/0000-0003-3556-0844
                http://orcid.org/0000-0003-4237-0539
                http://orcid.org/0000-0002-5130-7112
                http://orcid.org/0000-0003-0810-6822
                http://orcid.org/0000-0001-7290-5149
                http://orcid.org/0000-0002-0539-7962
                http://orcid.org/0000-0002-0917-6286
                Article
                v6i7e121
                10.2196/resprot.7735
                5519830
                28684387
                8db9b756-7d20-4a52-835a-b802d6499d49
                ©Paul J Barr, Michelle D Dannenberg, Craig H Ganoe, William Haslett, Rebecca Faill, Saeed Hassanpour, Amar Das, Roger Arend, Meredith C Masel, Sheryl Piper, Haley Reicher, James Ryan, Glyn Elwyn. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 06.07.2017.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.

                History
                : 24 March 2017
                : 9 May 2017
                : 22 May 2017
                : 23 May 2017
                Categories
                Protocol
                Protocol

                audiovisual aids,patient engagement,machine learning,disease management,caregivers,patients

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