Personal health records, symptoms, uncertainty, and mood in brain tumor patients

Cahill, Jennifer E.; Lin, Lin; LoBiondo‐Wood, Geri; Armstrong, Terri S.; Acquaye, Alvina; Vera-Bolaños, Elizabeth; Gilbert, Mark R.; Padhye, Nikhil

doi:10.1093/nop/npu005

Cited by 12 publications

(25 citation statements)

References 29 publications

(27 reference statements)

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“…Cahill et al 46 surveyed 162 patients with a glioma who had electronic access to personal health records (PHR). Through a website, patients could access personalised information regarding treatment, test results, appointments and a portal to communicate with their doctors.…”

Section: Resultsmentioning

confidence: 99%

Use of telehealth platforms for delivering supportive care to adults with primary brain tumors and their family caregivers: A systematic review

et al. 2020

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Objective Telehealth platforms have potential utility for providing remote access to supportive care to people with brain tumour. This systematic review aimed to evaluate the feasibility, acceptability and efficacy of delivering supportive care via telehealth platforms to adults with primary brain tumour and family caregivers. Methods A systematic search of PsycINFO, MEDLINE, CINAHL, Embase, Scopus and Cochrane Library was conducted from 1980 to 1st June 2020 to identify eligible studies. Methodological quality was assessed by two independent reviewers. Results Seventeen articles, reporting on 16 studies, evaluated telephone‐based support (5 studies), videoconferencing (3 studies), web‐based programs and resources (7 studies) or combined use of videoconferencing and web‐based modules (1 study) to deliver supportive care remotely. Caregivers were involved in 31% of interventions. Mean rates of accrual (68%) and adherence (74%) were moderate, whereas acceptability or satisfaction for those completing the interventions was typically high (M satisfied or very satisfied = 81%). Adherence rates were generally higher and clinical gains were more evident for interventions involving real‐time interaction as opposed to self‐guided interventions. Conclusions Telehealth delivery of supportive care is feasible and acceptable to a high proportion of individuals with primary brain tumour and their caregivers. It is recommended that future research focuses on implementation outcomes, including factors influencing the uptake and sustainability of telehealth platforms in practice.

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Section: Resultsmentioning

confidence: 99%

Use of telehealth platforms for delivering supportive care to adults with primary brain tumors and their family caregivers: A systematic review

et al. 2020

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“…Medical admissions for cancer patients are usually associated with investigating the origin and cause of disease, or evaluating chemo or radiation treatments, compared to surgical admissions that involve typical procedural routines and surgical recovery that may fully occupy the patient’s time in the hospital [ 73 ]. Because a cancer diagnosis is a stressful life event, patients’ information-seeking behavior was thought to become more active, possibly as a coping strategy to overcome uncertainties [ 27 , 29 , 74 ].…”

Section: Discussionmentioning

confidence: 99%

Patient portal adoption and use by hospitalized cancer patients: a retrospective study of its impact on adverse events, utilization, and patient satisfaction

Aljabri

Dumitrascu

Burton

et al. 2018

BMC Med Inform Decis Mak

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BackgroundPortal use has been studied among outpatients, but its utility and impact on inpatients is unclear. This study describes portal adoption and use among hospitalized cancer patients and investigates associations with selected safety, utilization, and satisfaction measures.MethodsA retrospective review of 4594 adult hospitalized cancer patients was conducted between 2012 and 2014 at Mayo Clinic in Jacksonville, Florida, comparing portal adopters, who registered for a portal account prior to hospitalization, with nonadopters. Adopters were classified by their portal activity during hospitalization as active or inactive inpatient users. Univariate and several logistic and linear regression models were used for analysis.ResultsOf total patients, 2352 (51.2%) were portal adopters, and of them, 632 (26.8%) were active inpatient users. Portal adoption was associated with patients who were young, female, married, with higher income, and had more frequent hospitalizations (P < .05). Active inpatient use was associated with patients who were young, married, nonlocals, with higher disease severity, and were hospitalized for medical treatment (P < .05). In univariate analyses, self-management knowledge scores were higher among adopters vs nonadopters (84.3 and 80.0, respectively; P = .01) and among active vs inactive inpatient users (87.0 and 83.3, respectively; P = .04). In regression models adjusted for age and disease severity, the association between portal behaviors and majority of measures were not significant (P > .05).ConclusionsOver half of our cancer inpatients adopted a portal prior to hospitalization, with increased adoption associated with predisposing and enabling determinants (eg: age, sex, marital status, income), and increased inpatient use associated with need (eg: nonlocal residence and disease severity). Additional research and greater effort to expand the portal functionality is needed to impact inpatient outcomes.

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“…A review of the literature identified a consensus on the influential effect of the following factors on ePHRs adoption: PPS [26,39-48], internet access [11,28,39,49-53], income [26,28,39,49,51,54-58], and education level [26,28,39,44,49,51,56,59-63]. These 4 factors were not part of UTAUT but were included in our adapted model to make it more appropriate for the context of ePHRs adoption.…”

Section: Methodsmentioning

confidence: 99%

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Abd‐Alrazaq¹,

Bewick²,

Farragher³

et al. 2019

J Med Internet Res

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BackgroundElectronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs.ObjectiveThis study aimed to examine factors associated with patients’ use of ePHRs in England.MethodsThe unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling.ResultsOf 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB.ConclusionsThis study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors.

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Personal health records, symptoms, uncertainty, and mood in brain tumor patients

Cited by 12 publications

References 29 publications

Use of telehealth platforms for delivering supportive care to adults with primary brain tumors and their family caregivers: A systematic review

Use of telehealth platforms for delivering supportive care to adults with primary brain tumors and their family caregivers: A systematic review

Patient portal adoption and use by hospitalized cancer patients: a retrospective study of its impact on adverse events, utilization, and patient satisfaction

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

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