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      Developing and Implementing an mHealth Heart Failure Self-care Program to Reduce Readmissions: Randomized Controlled Trial

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          Abstract

          Background

          Patients admitted with decompensated heart failure (HF) are at risk for hospital readmission and poor quality of life during the discharge period. Lifestyle behavior modifications that promote the self-management of chronic cardiac diseases have been associated with an improved quality of life. However, whether a mobile health (mHealth) program can assist patients in the self-management of HF during the acute posthospital discharge period is unknown.

          Objective

          We aimed to develop an mHealth program designed to enhance patients’ self-management of HF by increasing knowledge, self-efficacy, and symptom detection. We hypothesized that patients hospitalized with HF would be willing to use a feasibly deployed mHealth program after their hospital discharge.

          Methods

          We employed a patient-centered outcomes research methodology to design a stakeholder-informed mHealth program. Adult patients with HF admitted to a large academic hospital were enrolled and randomized to receive the mHealth intervention versus usual care. Our feasibility outcomes included ease of program deployment, use of the clinical escalation process, duration of participant recruitment, and participant attrition. Surveys assessing the demographics and clinical characteristics of HF were measured at baseline and at 30 and 90 days after discharge.

          Results

          The study period was between July 1, 2019, and April 7, 2020. The mean cohort (N=31) age was 60.4 (range 22-85) years. Over half of the participants were men (n=18, 58%) and 77% (n=24) were White. There were no significant differences in baseline measures. We determined that an educational mHealth program tailored for patients with HF is feasibly deployed and acceptable by patients. Though not significant, we found notable trends including a higher mean quality of life at 30 days posthospitalization among program users and a longer duration before rehospitalization, which are suggestive of better HF prognosis.

          Conclusions

          Our mHealth tool should be further assessed in a larger comparative effectiveness trial. Our pilot intervention offers promise as an innovative means to help HF patients lead healthy, independent lives. These preliminary data suggest that patient-centered mHealth tools can enable high-risk patients to play a role in the management of their HF after discharge.

          Trial Registration

          ClinicalTrials.gov NCT03982017; https://clinicaltrials.gov/ct2/show/NCT03982017

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          Most cited references38

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          The Patient Health Questionnaire-2: validity of a two-item depression screener.

          A number of self-administered questionnaires are available for assessing depression severity, including the 9-item Patient Health Questionnaire depression module (PHQ-9). Because even briefer measures might be desirable for use in busy clinical settings or as part of comprehensive health questionnaires, we evaluated a 2-item version of the PHQ depression module, the PHQ-2. The PHQ-2 inquires about the frequency of depressed mood and anhedonia over the past 2 weeks, scoring each as 0 ("not at all") to 3 ("nearly every day"). The PHQ-2 was completed by 6000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-2 depression severity increased from 0 to 6, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and healthcare utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-2 score > or =3 had a sensitivity of 83% and a specificity of 92% for major depression. Likelihood ratio and receiver operator characteristic analysis identified a PHQ-2 score of 3 as the optimal cutpoint for screening purposes. Results were similar in the primary care and obstetrics-gynecology samples. The construct and criterion validity of the PHQ-2 make it an attractive measure for depression screening.
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            A global measure of perceived stress.

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              The PHQ-8 as a measure of current depression in the general population.

              The eight-item Patient Health Questionnaire depression scale (PHQ-8) is established as a valid diagnostic and severity measure for depressive disorders in large clinical studies. Our objectives were to assess the PHQ-8 as a depression measure in a large, epidemiological population-based study, and to determine the comparability of depression as defined by the PHQ-8 diagnostic algorithm vs. a PHQ-8 cutpoint > or = 10. Random-digit-dialed telephone survey of 198,678 participants in the 2006 Behavioral Risk Factor Surveillance Survey (BRFSS), a population-based survey in the United States. Current depression as defined by either the DSM-IV based diagnostic algorithm (i.e., major depressive or other depressive disorder) of the PHQ-8 or a PHQ-8 score > or = 10; respondent sociodemographic characteristics; number of days of impairment in the past 30 days in multiple domains of health-related quality of life (HRQoL). The prevalence of current depression was similar whether defined by the diagnostic algorithm or a PHQ-8 score > or = 10 (9.1% vs. 8.6%). Depressed patients had substantially more days of impairment across multiple domains of HRQoL, and the impairment was nearly identical in depressed groups defined by either method. Of the 17,040 respondents with a PHQ-8 score > or = 10, major depressive disorder was present in 49.7%, other depressive disorder in 23.9%, depressed mood or anhedonia in another 22.8%, and no evidence of depressive disorder or depressive symptoms in only 3.5%. The PHQ-8 diagnostic algorithm rather than an independent structured psychiatric interview was used as the criterion standard. The PHQ-8 is a useful depression measure for population-based studies, and either its diagnostic algorithm or a cutpoint > or = 10 can be used for defining current depression.
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                Author and article information

                Contributors
                Journal
                JMIR Cardio
                JMIR Cardio
                JCARD
                JMIR Cardio
                JMIR Publications (Toronto, Canada )
                2561-1011
                Jan-Jun 2022
                21 March 2022
                : 6
                : 1
                : e33286
                Affiliations
                [1 ] Division of Cardiology Department of Medicine University of Pittsburgh Pittsburgh, PA United States
                [2 ] UPMC Heart and Vascular Institute Pittsburgh, PA United States
                [3 ] Department of Internal Medicine UPMC Pittsburgh, PA United States
                [4 ] Department of Medicine Massachusetts General Hospital Harvard Medical School Boston, MA United States
                [5 ] UPMC Community Provider Services Pittsburgh, PA United States
                [6 ] Innovative Homecare Solutions of UPMC Pittsburgh, PA United States
                [7 ] Division of General Internal Medicine Department of Medicine University of Pittsburgh Pittsburgh, PA United States
                Author notes
                Corresponding Author: Amber E Johnson johnsonae2@ 123456upmc.edu
                Author information
                https://orcid.org/0000-0003-1252-0735
                https://orcid.org/0000-0003-3975-6115
                https://orcid.org/0000-0002-3707-5562
                https://orcid.org/0000-0001-8717-0536
                https://orcid.org/0000-0002-0846-1085
                https://orcid.org/0000-0003-3215-6504
                https://orcid.org/0000-0002-6658-1528
                Article
                v6i1e33286
                10.2196/33286
                8981015
                35311679
                c46df7ad-d1b3-4beb-84be-2e35361cd498
                ©Amber E Johnson, Shuvodra Routh, Christy N Taylor, Meagan Leopold, Kathryn Beatty, Dennis M McNamara, Esa M Davis. Originally published in JMIR Cardio (https://cardio.jmir.org), 21.03.2022.

                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 Cardio, is properly cited. The complete bibliographic information, a link to the original publication on https://cardio.jmir.org, as well as this copyright and license information must be included.

                History
                : 1 September 2021
                : 3 January 2022
                : 3 February 2022
                : 16 February 2022
                Categories
                Original Paper
                Original Paper

                mhealth,heart failure,self-care,remote monitoring,telehealth,cardiology,hospital readmission,self-management,mobile health,patient-centered

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