Evidence map›Paper›PMID 31493318›Full record

ArticleJMIR mHealth and uHealth2019

Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey.

Rosanna Tarricone, Maria Cucciniello, Patrizio Armeni, Francesco Petracca, Kevin C Desouza, Leslie Kelly Hall, Dorothy Keefe

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
7.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  20. What can health systems learn from COVID-19?European heart journal supplements : journal of the European Society of Cardiology · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 3 countries.

Rosanna TarriconeDepartment of Social and Political Science, Bocconi University, Milan, Italy.ORCID 0000-0002-2009-9357
Maria CuccinielloDepartment of Social and Political Science, Bocconi University, Milan, Italy.ORCID 0000-0001-8942-0412
Patrizio ArmeniCentre for Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, Milan, Italy.ORCID 0000-0003-3150-3332
Francesco PetraccaCentre for Research on Health and Social Care Management, SDA Bocconi School of Management, Bocconi University, Milan, Italy.ORCID 0000-0002-6076-6919
Kevin C DesouzaSchool of Management, QUT Business School, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-4734-3081
Leslie Kelly HallHealthwise, Boise, ID, United States.ORCID 0000-0002-1056-0453
Dorothy KeefeSchool of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia.ORCID 0000-0001-9377-431X
Bocconi University · ITHealthwise · USQueensland University of Technology · AUThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile technologies are increasingly being used to manage chronic diseases, including cancer, with the promise of improving the efficiency and effectiveness of care. Among the myriad of mobile technologies in health care, we have seen an explosion of mobile apps. The rapid increase in digital health apps is not paralleled by a similar trend in usage statistics by clinicians and patients. Little is known about how much and in what ways mobile health (mHealth) apps are used by clinicians and patients for cancer care, what variables affect their use of mHealth, and what patients' and clinicians' expectations of mHealth apps are.

objectiveThis study aimed to describe the patient and clinician population that uses mHealth in cancer care and to provide recommendations to app developers and regulators to generally increase the use and efficacy of mHealth apps.

methodsThrough a cross-sectional Web-based survey, we explored the current utilization rates of mHealth in cancer care and factors that explain the differences in utilization by patients and clinicians across the United States and 5 different countries in Europe. In addition, we conducted an international workshop with more than 100 stakeholders and a roundtable with key representatives of international organizations of clinicians and patients to solicit feedback on the survey results and develop insights into mHealth app development practices.

resultsA total of 1033 patients and 1116 clinicians participated in the survey. The proportion of cancer patients using mHealth (294/1033, 28.46%) was far lower than that of clinicians (859/1116, 76.97%). Accounting for age and salary level, the marginal probabilities of use at means are still significantly different between the 2 groups and were 69.8% for clinicians and 38.7% for patients using the propensity score-based regression adjustment with weighting technique. Moreover, our analysis identified a gap between basic and advanced users, with a prevalent use for activities related to the automation of processes and the interaction with other individuals and a limited adoption for side-effect management and compliance monitoring in both groups.

conclusionsmHealth apps can provide access to clinical and economic data that are low cost, easy to access, and personalized. The benefits can go as far as increasing patients' chances of overall survival. However, despite its potential, evidence on the actual use of mobile technologies in cancer care is not promising. If the promise of mHealth is to be fulfilled, clinician and patient usage rates will need to converge. Ideally, cancer apps should be designed in ways that strengthen the patient-physician relationship, ease physicians' workload, be tested for validity and effectiveness, and fit the criteria for reimbursement.

Indexed as

Professional-Patient RelationsAdultCross-Sectional StudiesFemaleFranceGermanyHealth PersonnelHumansInternationalityItalyMaleMiddle AgedNeoplasmsPatientsSpainSurveys and Questionnairescancerdigital healthmhealthmHealthmobile appmobile phonesurvey

Identifiers

PMID31493318
PMCPMC6754682
OpenAlexW2942854854

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.