The effect of a mobile application on treatment adherence and symptom management in patients using oral anticancer agents: A randomized controlled trial

Karaaslan-Eşer, Akile; Ayaz‐Alkaya, Sultan

doi:10.1016/j.ejon.2021.101969

Cited by 11 publications

(17 citation statements)

References 39 publications

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“… Meta-analysis on (A) anxiety, (B) depression, (C) distress, and (D) self-efficacy [ 16 - 20 , 25 - 28 , 30 , 31 , 33 , 34 , 40 - 42 , 45 , 47 - 49 ]. IV: inverse variance; Std: standardized.…”

Section: Resultsmentioning

confidence: 99%

“…The meta-analysis of distress included 17% (5/30) of the studies [ 16 , 26 , 27 , 31 , 43 ] with a total of 488 cancer survivors. As there was heterogeneity among the studies ( P =.08; I 2 =53%), a random-effects model was used to pool the results.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the pooled estimate for anxiety was robust. [16][17][18][19][20][25][26][27][28]30,31,33,34,[40][41][42]45,[47][48][49]. IV: inverse variance; Std: standardized.…”

Section: Effects On Anxietymentioning

confidence: 99%

“…Figure 4. Meta-analysis on (A) anxiety, (B) depression, (C) distress, and (D) self-efficacy[16][17][18][19][20][25][26][27][28]30,31,33,34,[40][41][42]45,[47][48][49]. IV: inverse variance; Std: standardized.…”

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confidence: 99%

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Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Qin¹,

Chen²,

Sun³

et al. 2022

J Med Internet Res

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Background Most patients with cancer experience psychological or physical distress, which can adversely affect their quality of life (QOL). Smartphone app interventions are increasingly being used to improve QOL and psychological outcomes in patients with cancer. However, there is insufficient evidence regarding the effect of this type of intervention, with conflicting results in the literature. Objective In this systematic review and meta-analysis, we investigated the effectiveness of mobile phone app interventions on QOL and psychological outcomes in adult patients with cancer, with a special focus on intervention duration, type of cancer, intervention theory, treatment strategy, and intervention delivery format. Methods We conducted a literature search of PubMed, Web of Science, the Cochrane Library, Embase, Scopus, China National Knowledge Infrastructure, and WanFang to identify studies involving apps that focused on cancer survivors and QOL or psychological symptoms published from inception to October 30, 2022. We selected only randomized controlled trials that met the inclusion criteria and performed systematic review and meta-analysis. The standardized mean difference (SMD) with a 95% CI was pooled when needed. Sensitivity and subgroup analyses were also conducted. Results In total, 30 randomized controlled trials with a total of 5353 participants were included in this meta-analysis. Compared with routine care, app interventions might improve QOL (SMD=0.39, 95% CI 0.27-0.51; P<.001); enhance self-efficacy (SMD=0.15, 95% CI 0.02-0.29; P=.03); and alleviate anxiety (SMD=−0.64, 95% CI −0.73 to −0.56; P<.001), depression (SMD=−0.33, 95% CI −0.58 to −0.08; P=.009), and distress (SMD=−0.34, 95% CI −0.61 to −0.08; P=.01). Short-term (duration of ≤3 months), physician-patient interaction (2-way communication using a smartphone app), and cognitive behavioral therapy interventions might be the most effective for improving QOL and alleviating adverse psychological effects. Conclusions Our study showed that interventions using mobile health apps might improve QOL and self-efficacy as well as alleviate anxiety, depression, and distress in adult cancer survivors. However, these results should be interpreted with caution because of the heterogeneity of the interventions and the study design. More rigorous trials are warranted to confirm the suitable duration and validate the different intervention theories as well as address methodological flaws in previous studies. Trial Registration PROSPERO CRD42022370599; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=370599

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Therefore, the pooled estimate for anxiety was robust. [16][17][18][19][20][25][26][27][28]30,31,33,34,[40][41][42]45,[47][48][49]. IV: inverse variance; Std: standardized.…”

Section: Effects On Anxietymentioning

confidence: 99%

mentioning

confidence: 99%

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Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Qin¹,

Chen²,

Sun³

et al. 2022

J Med Internet Res

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“…Only 32% (23/73) apps[8,47,60,64,65,68,[70][71][72][73]76,[78][79][80][81][82][83]87,88,95,97,99,102,103,107,111,121,126,130] were designed for exclusive patient use. This is the case for certain medication adherence apps that focus mainly on providing reminders to patients[65,76,79,80,82,99,111]. Summary of app functionalities (n=73).…”

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confidence: 99%

Evaluating Barriers and Facilitators to the Uptake of mHealth Apps in Cancer Care Using the Consolidated Framework for Implementation Research: Scoping Literature Review

Ardito¹,

Golubev²,

Ciani³

et al. 2023

JMIR Cancer

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Background Mobile health (mHealth) solutions have proven to be effective in a wide range of patient outcomes and have proliferated over time. However, a persistent challenge of digital health technologies, including mHealth, is that they are characterized by early dropouts in clinical practice and struggle to be used outside experimental settings or on larger scales. Objective This study aimed to explore barriers and enablers to the uptake of mHealth solutions used by patients with cancer undergoing treatment, using a theory-guided implementation science model, that is, the Consolidated Framework for Implementation Research (CFIR). Methods A scoping literature review was conducted using PubMed (MEDLINE), Web of Science, and ScienceDirect databases in March 2022. We selected studies that analyzed the development, evaluation, and implementation of mHealth solutions for patients with cancer that were used in addition to the standard of care. Only empirical designs (eg, randomized controlled trials, observational studies, and qualitative studies) were considered. First, information on the study characteristics, patient population, app functionalities, and study outcomes was extracted. Then, the CFIR model was used as a practical tool to guide data collection and interpretation of evidence on mHealth uptake. Results Overall, 91 papers were included in the data synthesis. The selected records were mostly randomized controlled trials (26/91, 29%) and single-arm, noncomparative studies (52/91, 57%). Most of the apps (42/73, 58%) were designed for both patients and clinicians and could be used to support any type of cancer (29/73, 40%) and a range of oncological treatments. Following the CFIR scheme (intervention, outer setting, inner setting, individuals, process), multistakeholder co-design, codevelopment, and testing of mHealth interventions were identified as key enablers for later uptake. A variety of external drivers emerged, although the most relevant outer incentive fostering mHealth use was addressing patient needs. Among organizational factors likely to influence technology uptake, interoperability was the most prominent, whereas other providers’ dimensions such as managerial attitudes or organizational culture were not systematically discussed. Technology-related impediments that could hamper the use of mHealth at the individual level were considered least often. Conclusions The hype surrounding mHealth in cancer care is hindered by several factors that can affect its use in real world and nonexperimental settings. Compared with the growing evidence on mHealth efficacy, knowledge to inform the uptake of mHealth solutions in clinical cancer care is still scarce. Although some of our findings are supported by previous implementation research, our analysis elaborates on the distinguishing features of mHealth apps and provides an integrated perspective on the factors that should be accounted for implementation efforts. Future syntheses should liaise these dimensions with strategies observed in successful implementation initiatives.

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Multilevel Characteristics of Cumulative Symptom Burden in Young Survivors of Childhood Cancer

Horan,

Srivastava,

Choi

et al. 2024

JAMA Netw Open

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ImportanceSymptom burden and its characteristics among survivors of pediatric cancers aged 8 to 18 years remain understudied.ObjectiveTo examine the prevalence of symptom burden among young childhood cancer survivors and identify associations with sociodemographic, clinical, and psychological resilience skills, and health-related quality of life (HRQOL).Design, Setting, and ParticipantsA cross-sectional analysis using data collected from November 1, 2017, to January 31, 2019, in a survivorship clinic at a US-based comprehensive cancer center was conducted. Participants included 302 dyads of children aged 8 to 18 years who survived at least 5 years beyond diagnosis and their primary caregivers. Data analysis was performed from March 13, 2023, to February 29, 2024.ExposuresDiagnosis, caregiver-reported family conflict, self-reported caregiver anxiety, neighborhood-level social vulnerability, and survivor-reported meaning and purpose.Main Outcomes and MeasuresNovel symptom-level burden, integrating the attributes of severity and daily activity interference using the pediatric version of the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events, global cumulative symptom burden, and HRQOL using the EuroQol-5D. Multinomial logistic regression identified characteristics associated with symptom burden; linear regression assessed symptom burden and HRQOL associations.ResultsAmong 302 survivors (mean [SD] age, 14.2 [2.9] years, mean [SD] time since diagnosis, 10.9 [2.9] years; 153 [50.7%] male), 186 (62.0%) had low, 77 (25.7%) moderate, and 37 (12.3%) high global cumulative symptom burden. Greater caregiver anxiety was associated with moderate (risk ratio [RR], 1.56; 95% CI, 1.09-2.24) global symptom burden. Greater neighborhood deprivation was associated with moderate global symptom burden (RR, 4.86; 95% CI, 1.29-18.26). Survivors with greater meaning/purpose were less likely to have moderate (RR, 0.42; 95% CI, 0.29-0.61) and high (RR, 0.27; 95% CI, 0.16-0.46) global symptom burden. The burden of individual symptoms displayed similar patterns. Low (Cohen d, −0.60; 95% CI, −0.87 to −0.32) and moderate/high (d, −0.98; 95% CI, −1.53 to −0.43) general pain, moderate/high numbness (d, −0.99; 95% CI, −1.69 to −0.29), and moderate/high worry (d, −0.55; 95% CI, −0.99 to −0.11) were associated with lower HRQOL.Conclusions and RelevanceIn this cross-sectional study of young childhood cancer survivors, symptom burden was prevalent. Caregiver anxiety and disparity-related neighborhood factors were associated with greater symptom burden, whereas meaning and purpose was a protective factor. Greater specific symptom burden contributed to poorer HRQOL. The findings suggest that interventions targeting resilience and neighborhood adversity may alleviate symptom burden and improve HRQOL.

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The effect of a mobile application on treatment adherence and symptom management in patients using oral anticancer agents: A randomized controlled trial

Cited by 11 publications

References 39 publications

Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Effect of Mobile Phone App–Based Interventions on Quality of Life and Psychological Symptoms Among Adult Cancer Survivors: Systematic Review and Meta-analysis of Randomized Controlled Trials

Evaluating Barriers and Facilitators to the Uptake of mHealth Apps in Cancer Care Using the Consolidated Framework for Implementation Research: Scoping Literature Review

Multilevel Characteristics of Cumulative Symptom Burden in Young Survivors of Childhood Cancer

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