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      Utilizing Technology for Diet and Exercise Change in Complex Chronic Conditions Across Diverse Environments (U-DECIDE): Protocol for a Randomized Controlled Trial

      research-article
      , BSc 1 , , MBBS 2 , 3 , , BSc 4 , , BSc, PhD 3 , 4 , 5 , , BSc, PhD 6 , 7 , , BSc 4 , , BSc 6 , 7 , , BSc, PhD 8 , , BSc, PhD 9 , , MBBS, PhD 2 , 3 , , MBBS, PhD 3 , 10 , , BSc, PhD 11 , 12 , , BSc, PhD 1 , , BSc, PhD 1 , , BSc, PhD 3 , 4 ,
      (Reviewer), (Reviewer)
      JMIR Research Protocols
      JMIR Publications
      lifestyle intervention, telehealth service delivery, digital disruption, complex chronic disease, liver disease, kidney disease, transplant, metabolic syndrome, metabolism, diabetes, obesity, mobile health, health technology, chronic disease

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          Abstract

          Background

          The metabolic syndrome is common across many complex chronic disease groups. Advances in health technology have provided opportunities to support lifestyle interventions.

          Objective

          The purpose of this study is to test the feasibility of a health technology-assisted lifestyle intervention in a patient-led model of care.

          Methods

          The study is a single-center, 26-week, randomized controlled trial. The setting is specialist kidney and liver disease clinics at a large Australian tertiary hospital. The participants will be adults with a complex chronic condition who are referred for dietetic assessment and display at least one feature of the metabolic syndrome. All participants will receive an individualized assessment and advice on diet quality from a dietitian, a wearable activity monitor, and standard care. Participants randomized to the intervention group will receive access to a suite of health technologies from which to choose, including common base components (text messages) and optional components (online and mobile app–based nutrition information, an online home exercise program, and group-based videoconferencing). Exposure to the optional aspects of the intervention will be patient-led, with participants choosing their preferred level of engagement. The primary outcome will be the feasibility of delivering the program, determined by safety, recruitment rate, retention, exposure uptake, and telehealth adherence. Secondary outcomes will be clinical effectiveness, patient-led goal attainment, treatment fidelity, exposure demand, and participant perceptions. Primary outcome data will be assessed descriptively and secondary outcomes will be assessed using an analysis of covariance. This study will provide evidence on the feasibility of the intervention in a tertiary setting for patients with complex chronic disease exhibiting features of the metabolic syndrome.

          Results

          The study was funded in 2019. Enrollment has commenced and is expected to be completed by June 2022. Data collection and follow up are expected to be completed by December 2022. Results from the analyses based on primary outcomes are expected to be submitted for publication by June 2023.

          Conclusions

          The study will test the implementation of a health technology–assisted lifestyle intervention in a tertiary outpatient setting for a diverse group of patients with complex chronic conditions. It is novel in that it embeds patient choice into intervention exposure and will inform health service decision-makers in regards to the feasibility of scale and spread of technology-assisted access to care for a broader reach of specialist services.

          Trial Registration

          Australian New Zealand Clinical Trial Registry ACTRN12620001282976; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378337

          International Registered Report Identifier (IRRID)

          DERR1-10.2196/37556

          Related collections

          Most cited references54

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

            Despite the prevalence of sleep complaints among psychiatric patients, few questionnaires have been specifically designed to measure sleep quality in clinical populations. The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire which assesses sleep quality and disturbances over a 1-month time interval. Nineteen individual items generate seven "component" scores: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. The sum of scores for these seven components yields one global score. Clinical and clinimetric properties of the PSQI were assessed over an 18-month period with "good" sleepers (healthy subjects, n = 52) and "poor" sleepers (depressed patients, n = 54; sleep-disorder patients, n = 62). Acceptable measures of internal homogeneity, consistency (test-retest reliability), and validity were obtained. A global PSQI score greater than 5 yielded a diagnostic sensitivity of 89.6% and specificity of 86.5% (kappa = 0.75, p less than 0.001) in distinguishing good and poor sleepers. The clinimetric and clinical properties of the PSQI suggest its utility both in psychiatric clinical practice and research activities.
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              International physical activity questionnaire: 12-country reliability and validity.

              Physical inactivity is a global concern, but diverse physical activity measures in use prevent international comparisons. The International Physical Activity Questionnaire (IPAQ) was developed as an instrument for cross-national monitoring of physical activity and inactivity. Between 1997 and 1998, an International Consensus Group developed four long and four short forms of the IPAQ instruments (administered by telephone interview or self-administration, with two alternate reference periods, either the "last 7 d" or a "usual week" of recalled physical activity). During 2000, 14 centers from 12 countries collected reliability and/or validity data on at least two of the eight IPAQ instruments. Test-retest repeatability was assessed within the same week. Concurrent (inter-method) validity was assessed at the same administration, and criterion IPAQ validity was assessed against the CSA (now MTI) accelerometer. Spearman's correlation coefficients are reported, based on the total reported physical activity. Overall, the IPAQ questionnaires produced repeatable data (Spearman's rho clustered around 0.8), with comparable data from short and long forms. Criterion validity had a median rho of about 0.30, which was comparable to most other self-report validation studies. The "usual week" and "last 7 d" reference periods performed similarly, and the reliability of telephone administration was similar to the self-administered mode. The IPAQ instruments have acceptable measurement properties, at least as good as other established self-reports. Considering the diverse samples in this study, IPAQ has reasonable measurement properties for monitoring population levels of physical activity among 18- to 65-yr-old adults in diverse settings. The short IPAQ form "last 7 d recall" is recommended for national monitoring and the long form for research requiring more detailed assessment.
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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 2022
                28 July 2022
                : 11
                : 7
                : e37556
                Affiliations
                [1 ] School of Human Movement and Nutrition Sciences The University of Queensland Brisbane Australia
                [2 ] Department of Nephrology Princess Alexandra Hospital Brisbane Australia
                [3 ] Faculty of Medicine The University of Queensland Brisbane Australia
                [4 ] Department of Nutrition and Dietetics Princess Alexandra Hospital Brisbane Australia
                [5 ] Nutrition and Dietetics Research Group Bond University Robina Australia
                [6 ] Centre for Online Health The University of Queensland Brisbane Australia
                [7 ] Centre for Health Services Research The University of Queensland Brisbane Australia
                [8 ] Food & Mood Centre Institute for Mental and Physical Health and Clinical Translation Deakin University Melbourne Australia
                [9 ] School of Applied Psychology Griffith University Brisbane Australia
                [10 ] Department of Gastroenterology and Hepatology Princess Alexandra Hospital Brisbane Australia
                [11 ] Healthcare Excellence and Innovation Metro North Health Brisbane Australia
                [12 ] Menzies Health Institute Queensland Griffith University Brisbane Australia
                Author notes
                Corresponding Author: Ingrid J Hickman i.hickman@ 123456uq.edu.au
                Author information
                https://orcid.org/0000-0002-4390-5980
                https://orcid.org/0000-0002-6525-7961
                https://orcid.org/0000-0003-0427-0932
                https://orcid.org/0000-0001-7356-653X
                https://orcid.org/0000-0003-0232-5848
                https://orcid.org/0000-0003-2959-6824
                https://orcid.org/0000-0003-1509-1729
                https://orcid.org/0000-0001-6704-2131
                https://orcid.org/0000-0002-3221-2265
                https://orcid.org/0000-0002-9566-7179
                https://orcid.org/0000-0003-0929-110X
                https://orcid.org/0000-0002-4479-1284
                https://orcid.org/0000-0002-6990-3596
                https://orcid.org/0000-0001-5357-2721
                https://orcid.org/0000-0003-3205-9165
                Article
                v11i7e37556
                10.2196/37556
                9377441
                35900834
                6b48c0a5-eeb4-4902-a8b3-9fa5ae7d8777
                ©Riley C C Brown, Dev K Jegatheesan, Marguerite M Conley, Hannah L Mayr, Jaimon T Kelly, Lindsey Webb, Amandine Barnett, Heidi M Staudacher, Nicola W Burton, Nicole M Isbel, Graeme A Macdonald, Katrina L Campbell, Jeff S Coombes, Shelley E Keating, Ingrid J Hickman. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 28.07.2022.

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

                History
                : 24 February 2022
                : 4 May 2022
                : 11 May 2022
                : 13 May 2022
                Categories
                Protocol
                Protocol

                lifestyle intervention,telehealth service delivery,digital disruption,complex chronic disease,liver disease,kidney disease,transplant,metabolic syndrome,metabolism,diabetes,obesity,mobile health,health technology,chronic disease

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