Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

Jiang, Yun; Sereika, Susan M.; Dabbs, Annette De Vito; Handler, Steven M.; Schlenk, Elizabeth A.

doi:10.4338/aci-2015-12-ra-0170

Cited by 31 publications

(15 citation statements)

References 60 publications

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“…The first theme, “sociodemographic information,” refers to the characteristics of a population such as gender, age, and marital status. The use of an electronic diary decreases when individuals are older, have a low socioeconomic status, or are unmarried, separated, divorced, or widowed [ 28 , 41 , 49 ], whereas an increase in the use of these tools is seen when individuals experience high psychological distress [ 41 ].…”

Section: Resultsmentioning

confidence: 99%

“…The CFIR [25] was used to perform the qualitative thematic analysis of the factors that influence the use of electronic diaries in health care. The results of this qualitative thematic analysis were organized along 3 CFIR categories: intervention [29][30][31][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49], user characteristics [28,32,36,37,39,41,42,44,45,49], and process [30][31][32][33]38,41,[43][44][45]47,49]. No results were found for the 2 other CFIR categories: inner setting and outer setting.…”

Section: Factors That Influence the Use Of Electronic Diariesmentioning

confidence: 99%

“…Long messages are considered too time-consuming to read, and users would therefore skip screens [33,34,42]. Furthermore, users may prefer both cartoons or videos and text [40][41][42]45,49]. Moreover, diary questions should be tailored to the individual's situation [36,37,42,43].…”

Section: Interventionmentioning

confidence: 99%

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Factors That Influence the Use of Electronic Diaries in Health Care: Scoping Review

Daniëls

Hochstenbach

Zelst

et al. 2021

JMIR Mhealth Uhealth

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Background A large number of people suffer from psychosocial or physical problems. Adequate strategies to alleviate needs are scarce or lacking. Symptom variation can offer insights into personal profiles of coping and resilience (detailed functional analyses). Hence, diaries are used to report mood and behavior occurring in daily life. To reduce inaccuracies, biases, and noncompliance with paper diaries, a shift to electronic diaries has occurred. Although these diaries are increasingly used in health care, information is lacking about what determines their use. Objective The aim of this study was to map the existing empirical knowledge and gaps concerning factors that influence the use of electronic diaries, defined as repeated recording of psychosocial or physical data lasting at least one week using a smartphone or a computer, in health care. Methods A scoping review of the literature published between January 2000 and December 2018 was conducted using queries in PubMed and PsycInfo databases. English or Dutch publications based on empirical data about factors that influence the use of electronic diaries for psychosocial or physical purposes in health care were included. Both databases were screened, and findings were summarized using a directed content analysis organized by the Consolidated Framework for Implementation Research (CFIR). Results Out of 3170 articles, 22 studies were selected for qualitative synthesis. Eleven themes were determined in the CFIR categories of intervention, user characteristics, and process. No information was found for the CFIR categories inner (eg, organizational resources, innovation climate) and outer (eg, external policies and incentives, pressure from competitors) settings. Reminders, attractive designs, tailored and clear data visualizations (intervention), smartphone experience, and intrinsic motivation to change behavior (user characteristics) could influence the use of electronic diaries. During the implementation process, attention should be paid to both theoretical and practical training. Conclusions Design aspects, user characteristics, and training and instructions determine the use of electronic diaries in health care. It is remarkable that there were no empirical data about factors related to embedding electronic diaries in daily clinical practice. More research is needed to better understand influencing factors for optimal electronic diary use.

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Section: Resultsmentioning

confidence: 99%

Section: Factors That Influence the Use Of Electronic Diariesmentioning

confidence: 99%

See 1 more Smart Citation

Factors That Influence the Use of Electronic Diaries in Health Care: Scoping Review

Daniëls

Hochstenbach

Zelst

et al. 2021

JMIR Mhealth Uhealth

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“…For example, expectations for using e-SRS vary with patient health status. Interestingly, patients’ health status could be either positively or negatively associated with their technology use behavior [ 20 , 63 ]. Patients with increased symptom distress might be motivated to continue tracking and reporting their symptoms to health care professionals.…”

Section: Discussionmentioning

confidence: 99%

Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review

Cho¹,

Zhang²,

Harris³

et al. 2021

J Med Internet Res

Self Cite

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Background Electronic symptom self-reporting systems (e-SRS) have been shown to improve symptoms and survival in patients with cancer. However, patient engagement in using e-SRS for voluntary symptom self-reporting is less optimal. Multiple factors can potentially affect patients’ acceptance and engagement in using home-based e-SRS. However, such factors have not been fully explored in cancer populations. Objective The aim of this study is to understand the acceptance and use of home-based e-SRS by patients with cancer and identify associated facilitators and barriers. Methods PubMed, CINAHL, Scopus, and PsycINFO (January 2010 to March 2020) were searched using a combination of Medical Subject Headings (MeSH) terms and keywords such as symptom self-reporting, electronic/technology, cancer, and their synonyms. Included studies focused on the use of home-based e-SRS by patients with cancer and their families. Studies on patients’ use of e-SRS in clinical settings only were excluded. Of the 3740 papers retrieved, 33 were included in the final review. Factors associated with patient acceptance and use of e-SRS were extracted and synthesized. Results Most e-SRS were web based (22/33, 66%) or mobile app based (9/33, 27%). The e-SRS initial acceptance, represented by patient enrollment rates, ranged from 40% (22/55) to 100% (100/100). High e-SRS acceptance was rated by 69% (59/85) to 77.6% (337/434) of the patients after they used the system. The e-SRS use, measured by patients’ response rates to questionnaires (ranging from 1596/3521, 45.33% to 92%) or system log-on rates (ranging from 4/12, 33% to 99/100, 99%), declined over time in general patterns. Few studies (n=7) reported e-SRS use beyond 6 months, with the response rates ranging from 62% (40/64) to 85.1% (541/636) and the log-on rates ranging from 63.6% (103/162) to 77% (49/64). The availability of compatible devices and technical support, interactive system features, information accessibility, privacy, questionnaire quality, patient physical/psychosocial status, and age were associated with patient acceptance and use of home-based e-SRS. Conclusions Acceptance and use of home-based e-SRS by patients with cancer varied significantly across studies, as assessed by a variety of approaches. The lack of access to technology has remained a barrier to e-SRS adoption. Interactive system features and personalized questionnaires may increase patient engagement. More studies are needed to further understand patients’ long-term use of home-based e-SRS behavior patterns to develop personalized interventions to support symptom self-management and self-reporting of patients with cancer for optimal health outcomes.

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“…In a randomized controlled trial (RCT) that assessed 201 lung transplant recipients during the first year after transplant, Pocket PATH improved performance of the post-transplant regimen; specifically, recipients randomized to Pocket PATH adhered to more elements of the regimen, self-monitored more often and reported more abnormal health indicators to clinicians than recipients randomized to usual care (14). Recipients also reported high acceptance of Pocket PATH (20). …”

Section: Introductionmentioning

confidence: 99%

Long-Term Follow-up of a Randomized Controlled Trial Evaluating a Mobile Health Intervention for Self-Management in Lung Transplant Recipients

Rosenberger

Dabbs

DiMartini

et al. 2017

American Journal of Transplantation

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Mobile health (mHealth) interventions may help transplant recipients follow their complex medical regimen. Pocket Personal Assistant for Tracking Health (Pocket PATH) is one such intervention, tailored for lung transplant recipients. A randomized controlled trial showed Pocket PATH’s superiority to usual care for promoting the self-management behaviors of adherence, self-monitoring and communication with clinicians during post-transplant year 1. Its long-term impact was unknown. Here, we examine associations between Pocket PATH exposure during year 1 and longer-term clinical outcomes—mortality and bronchiolitis obliterans syndrome (BOS)—among 182 recipients who survived the original trial. Cox regression assessed whether (a) original group assignment and (b) performance of self-management behaviors during year 1 predicted time to outcomes. Median follow-up was 5.7 years post-transplant (range: 4.2–7.2). Pocket PATH exposure had no direct effect on outcomes (p’s>0.05). Self-monitoring was associated with reduced mortality risk (HR, 0.45; 95%CI, 0.22–0.91; p=0.027), and reporting abnormal health indicators to clinicians was associated with reduced risks of mortality (HR, 0.15; 95%CI, 0.04–0.65; p=0.011) and BOS (HR, 0.27; 95%CI, 0.08–0.86; p=0.026), regardless of intervention group assignment. Although Pocket PATH did not have a direct impact on long-term outcomes, early improvements in self-management facilitated by Pocket PATH may be associated with long-term clinical benefit.

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Acceptance and Use of Mobile Technology for Health Self-Monitoring in Lung Transplant Recipients during the First Year Post-Transplantation

Cited by 31 publications

References 60 publications

Factors That Influence the Use of Electronic Diaries in Health Care: Scoping Review

Factors That Influence the Use of Electronic Diaries in Health Care: Scoping Review

Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review

Long-Term Follow-up of a Randomized Controlled Trial Evaluating a Mobile Health Intervention for Self-Management in Lung Transplant Recipients

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