Loading…
Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review
Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (...
Saved in:
Published in: | JMIR cancer 2023-04, Vol.9, p.e37330-e37330 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453 |
---|---|
cites | cdi_FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453 |
container_end_page | e37330 |
container_issue | |
container_start_page | e37330 |
container_title | JMIR cancer |
container_volume | 9 |
creator | Vaffis, Shannon Whaley, Soluna Axon, David Rhys Hall-Lipsy, Elizabeth Hincapie, Ana Slack, Marion Warholak, Terri |
description | Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (eg, smartphones or tablets) are designed to help patients with medication adherence, symptom tracking, and disease management. Several previous literature reviews have been conducted regarding mHealth apps for cancer. However, these studies did not address patient preferences for the features of cancer mHealth apps.
The primary aim was to review the scientific literature that describes the features and functions of mHealth apps designed for cancer self-management.
As the purpose of this review was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted. Four databases were used for this review: PubMed/MEDLINE, Embase, CINAHL, and PsycINFO. Citation and reference searches were conducted for manuscripts meeting the inclusion criteria. A gray literature search was also conducted. Data extracted from manuscripts included author, title, publication date, study type, sampling type, cancer type, treatment, age of participants, features, availability (free or subscription), design input, and patient preferences. Finally, the features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app.
After the removal of duplicates, 522 manuscripts remained for the title and abstract review, with 51 undergoing full-text review. A total of 7 manuscripts (referred to as studies hereafter) were included in the final scoping review. App features described in each study varied from 2 to 11, with a median of 4 features per app. The most reported feature was a symptom or side effect tracker, which was reported in 6 studies. Two apps specified the inclusion of patients and health care providers during the design, while 1 app noted that IT and communications experts provided design input. The utility of the apps for end users was measured in several ways, including acceptability (measuring the end users' experience), usability (assessing the functionality and performance by observing real users completing tasks), or qualitative data (reports from end users collected from interviews or focus groups).
This review explored the literature on cancer mHea |
doi_str_mv | 10.2196/37330 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_c44ad65f2d054841948f502762922002</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_c44ad65f2d054841948f502762922002</doaj_id><sourcerecordid>2807910997</sourcerecordid><originalsourceid>FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453</originalsourceid><addsrcrecordid>eNpdkltrGzEQhZfS0oTUf6EISqEvTnW_9KUEkxsYEpL2WWhXs47MerWVdh367yvbaUjyNGLm43B0ZqpqRvApJUZ-Z4ox_K46pkyaOTHGvH_xPqpmOa8xxkQrpZX8WB0xRYgQWh1X9gLcOCXIKLZo4foGEtpcgevGB3Q2DBm53qPzbfBQRqiNCd26MUA_otsELaRdO_9A900cQr9CyzBC2guiO9gGePxUfWhdl2H2VE-q3xfnvxZX8-XN5fXibDlvuNDjnAqNHSdUKYpbL7XysmEYZC0UYbj2hJrag5S89kp4SgWnTnmjTKmCccFOquuDro9ubYcUNi79tdEFu2_EtLIujaHpwDacOy9FSz0WXHNiuG4FpkpSQynGtGj9PGgNU70B35TfJte9En096cODXcWtJSViysXOzbcnhRT_TJBHuwm5ga5zPcQpW6qxMgQbowr65Q26jlPqS1aWGqKEZmVrhfp6oJoUcy7JP7sh2O5OwO5PoHCfX1p_pv4vnP0Dj5un0Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2917583877</pqid></control><display><type>article</type><title>Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review</title><source>PubMed (Medline)</source><source>Publicly Available Content Database</source><creator>Vaffis, Shannon ; Whaley, Soluna ; Axon, David Rhys ; Hall-Lipsy, Elizabeth ; Hincapie, Ana ; Slack, Marion ; Warholak, Terri</creator><creatorcontrib>Vaffis, Shannon ; Whaley, Soluna ; Axon, David Rhys ; Hall-Lipsy, Elizabeth ; Hincapie, Ana ; Slack, Marion ; Warholak, Terri</creatorcontrib><description>Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (eg, smartphones or tablets) are designed to help patients with medication adherence, symptom tracking, and disease management. Several previous literature reviews have been conducted regarding mHealth apps for cancer. However, these studies did not address patient preferences for the features of cancer mHealth apps.
The primary aim was to review the scientific literature that describes the features and functions of mHealth apps designed for cancer self-management.
As the purpose of this review was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted. Four databases were used for this review: PubMed/MEDLINE, Embase, CINAHL, and PsycINFO. Citation and reference searches were conducted for manuscripts meeting the inclusion criteria. A gray literature search was also conducted. Data extracted from manuscripts included author, title, publication date, study type, sampling type, cancer type, treatment, age of participants, features, availability (free or subscription), design input, and patient preferences. Finally, the features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app.
After the removal of duplicates, 522 manuscripts remained for the title and abstract review, with 51 undergoing full-text review. A total of 7 manuscripts (referred to as studies hereafter) were included in the final scoping review. App features described in each study varied from 2 to 11, with a median of 4 features per app. The most reported feature was a symptom or side effect tracker, which was reported in 6 studies. Two apps specified the inclusion of patients and health care providers during the design, while 1 app noted that IT and communications experts provided design input. The utility of the apps for end users was measured in several ways, including acceptability (measuring the end users' experience), usability (assessing the functionality and performance by observing real users completing tasks), or qualitative data (reports from end users collected from interviews or focus groups).
This review explored the literature on cancer mHealth apps. Popular features within these mHealth apps include symptom trackers, cancer education, and medication trackers. However, these apps and features are often developed with little input from patients. Additionally, there is little information regarding patient preferences for the features of existing apps. While the number of cancer-related apps available for download continues to increase, further exploration of patient preferences for app features could result in apps that better meet patient disease self-management needs.</description><identifier>ISSN: 2369-1999</identifier><identifier>EISSN: 2369-1999</identifier><identifier>DOI: 10.2196/37330</identifier><identifier>PMID: 37115587</identifier><language>eng</language><publisher>Canada: JMIR Publications</publisher><subject>Cancer therapies ; Caregivers ; Chronic illnesses ; Disease prevention ; Literature reviews ; Oncology ; Palliative care ; Patient satisfaction ; Preferences ; Review ; Smartphones ; Software ; Systematic review ; Telemedicine ; Text messaging</subject><ispartof>JMIR cancer, 2023-04, Vol.9, p.e37330-e37330</ispartof><rights>Shannon Vaffis, Soluna Whaley, David Rhys Axon, Elizabeth Hall-Lipsy, Ana Hincapie, Marion Slack, Terri Warholak. Originally published in JMIR Cancer (https://cancer.jmir.org), 28.04.2023.</rights><rights>2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Shannon Vaffis, Soluna Whaley, David Rhys Axon, Elizabeth Hall-Lipsy, Ana Hincapie, Marion Slack, Terri Warholak. Originally published in JMIR Cancer (https://cancer.jmir.org), 28.04.2023. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453</citedby><cites>FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453</cites><orcidid>0000-0002-6142-1744 ; 0000-0002-6725-9207 ; 0000-0003-1064-5788 ; 0000-0001-6537-3092 ; 0000-0002-6500-3339 ; 0000-0001-5956-7181 ; 0000-0002-9903-5996</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2917583877/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2917583877?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37115587$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vaffis, Shannon</creatorcontrib><creatorcontrib>Whaley, Soluna</creatorcontrib><creatorcontrib>Axon, David Rhys</creatorcontrib><creatorcontrib>Hall-Lipsy, Elizabeth</creatorcontrib><creatorcontrib>Hincapie, Ana</creatorcontrib><creatorcontrib>Slack, Marion</creatorcontrib><creatorcontrib>Warholak, Terri</creatorcontrib><title>Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review</title><title>JMIR cancer</title><addtitle>JMIR Cancer</addtitle><description>Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (eg, smartphones or tablets) are designed to help patients with medication adherence, symptom tracking, and disease management. Several previous literature reviews have been conducted regarding mHealth apps for cancer. However, these studies did not address patient preferences for the features of cancer mHealth apps.
The primary aim was to review the scientific literature that describes the features and functions of mHealth apps designed for cancer self-management.
As the purpose of this review was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted. Four databases were used for this review: PubMed/MEDLINE, Embase, CINAHL, and PsycINFO. Citation and reference searches were conducted for manuscripts meeting the inclusion criteria. A gray literature search was also conducted. Data extracted from manuscripts included author, title, publication date, study type, sampling type, cancer type, treatment, age of participants, features, availability (free or subscription), design input, and patient preferences. Finally, the features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app.
After the removal of duplicates, 522 manuscripts remained for the title and abstract review, with 51 undergoing full-text review. A total of 7 manuscripts (referred to as studies hereafter) were included in the final scoping review. App features described in each study varied from 2 to 11, with a median of 4 features per app. The most reported feature was a symptom or side effect tracker, which was reported in 6 studies. Two apps specified the inclusion of patients and health care providers during the design, while 1 app noted that IT and communications experts provided design input. The utility of the apps for end users was measured in several ways, including acceptability (measuring the end users' experience), usability (assessing the functionality and performance by observing real users completing tasks), or qualitative data (reports from end users collected from interviews or focus groups).
This review explored the literature on cancer mHealth apps. Popular features within these mHealth apps include symptom trackers, cancer education, and medication trackers. However, these apps and features are often developed with little input from patients. Additionally, there is little information regarding patient preferences for the features of existing apps. While the number of cancer-related apps available for download continues to increase, further exploration of patient preferences for app features could result in apps that better meet patient disease self-management needs.</description><subject>Cancer therapies</subject><subject>Caregivers</subject><subject>Chronic illnesses</subject><subject>Disease prevention</subject><subject>Literature reviews</subject><subject>Oncology</subject><subject>Palliative care</subject><subject>Patient satisfaction</subject><subject>Preferences</subject><subject>Review</subject><subject>Smartphones</subject><subject>Software</subject><subject>Systematic review</subject><subject>Telemedicine</subject><subject>Text messaging</subject><issn>2369-1999</issn><issn>2369-1999</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkltrGzEQhZfS0oTUf6EISqEvTnW_9KUEkxsYEpL2WWhXs47MerWVdh367yvbaUjyNGLm43B0ZqpqRvApJUZ-Z4ox_K46pkyaOTHGvH_xPqpmOa8xxkQrpZX8WB0xRYgQWh1X9gLcOCXIKLZo4foGEtpcgevGB3Q2DBm53qPzbfBQRqiNCd26MUA_otsELaRdO_9A900cQr9CyzBC2guiO9gGePxUfWhdl2H2VE-q3xfnvxZX8-XN5fXibDlvuNDjnAqNHSdUKYpbL7XysmEYZC0UYbj2hJrag5S89kp4SgWnTnmjTKmCccFOquuDro9ubYcUNi79tdEFu2_EtLIujaHpwDacOy9FSz0WXHNiuG4FpkpSQynGtGj9PGgNU70B35TfJte9En096cODXcWtJSViysXOzbcnhRT_TJBHuwm5ga5zPcQpW6qxMgQbowr65Q26jlPqS1aWGqKEZmVrhfp6oJoUcy7JP7sh2O5OwO5PoHCfX1p_pv4vnP0Dj5un0Q</recordid><startdate>20230428</startdate><enddate>20230428</enddate><creator>Vaffis, Shannon</creator><creator>Whaley, Soluna</creator><creator>Axon, David Rhys</creator><creator>Hall-Lipsy, Elizabeth</creator><creator>Hincapie, Ana</creator><creator>Slack, Marion</creator><creator>Warholak, Terri</creator><general>JMIR Publications</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6142-1744</orcidid><orcidid>https://orcid.org/0000-0002-6725-9207</orcidid><orcidid>https://orcid.org/0000-0003-1064-5788</orcidid><orcidid>https://orcid.org/0000-0001-6537-3092</orcidid><orcidid>https://orcid.org/0000-0002-6500-3339</orcidid><orcidid>https://orcid.org/0000-0001-5956-7181</orcidid><orcidid>https://orcid.org/0000-0002-9903-5996</orcidid></search><sort><creationdate>20230428</creationdate><title>Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review</title><author>Vaffis, Shannon ; Whaley, Soluna ; Axon, David Rhys ; Hall-Lipsy, Elizabeth ; Hincapie, Ana ; Slack, Marion ; Warholak, Terri</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Cancer therapies</topic><topic>Caregivers</topic><topic>Chronic illnesses</topic><topic>Disease prevention</topic><topic>Literature reviews</topic><topic>Oncology</topic><topic>Palliative care</topic><topic>Patient satisfaction</topic><topic>Preferences</topic><topic>Review</topic><topic>Smartphones</topic><topic>Software</topic><topic>Systematic review</topic><topic>Telemedicine</topic><topic>Text messaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vaffis, Shannon</creatorcontrib><creatorcontrib>Whaley, Soluna</creatorcontrib><creatorcontrib>Axon, David Rhys</creatorcontrib><creatorcontrib>Hall-Lipsy, Elizabeth</creatorcontrib><creatorcontrib>Hincapie, Ana</creatorcontrib><creatorcontrib>Slack, Marion</creatorcontrib><creatorcontrib>Warholak, Terri</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>JMIR cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vaffis, Shannon</au><au>Whaley, Soluna</au><au>Axon, David Rhys</au><au>Hall-Lipsy, Elizabeth</au><au>Hincapie, Ana</au><au>Slack, Marion</au><au>Warholak, Terri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review</atitle><jtitle>JMIR cancer</jtitle><addtitle>JMIR Cancer</addtitle><date>2023-04-28</date><risdate>2023</risdate><volume>9</volume><spage>e37330</spage><epage>e37330</epage><pages>e37330-e37330</pages><issn>2369-1999</issn><eissn>2369-1999</eissn><abstract>Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (eg, smartphones or tablets) are designed to help patients with medication adherence, symptom tracking, and disease management. Several previous literature reviews have been conducted regarding mHealth apps for cancer. However, these studies did not address patient preferences for the features of cancer mHealth apps.
The primary aim was to review the scientific literature that describes the features and functions of mHealth apps designed for cancer self-management.
As the purpose of this review was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted. Four databases were used for this review: PubMed/MEDLINE, Embase, CINAHL, and PsycINFO. Citation and reference searches were conducted for manuscripts meeting the inclusion criteria. A gray literature search was also conducted. Data extracted from manuscripts included author, title, publication date, study type, sampling type, cancer type, treatment, age of participants, features, availability (free or subscription), design input, and patient preferences. Finally, the features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app.
After the removal of duplicates, 522 manuscripts remained for the title and abstract review, with 51 undergoing full-text review. A total of 7 manuscripts (referred to as studies hereafter) were included in the final scoping review. App features described in each study varied from 2 to 11, with a median of 4 features per app. The most reported feature was a symptom or side effect tracker, which was reported in 6 studies. Two apps specified the inclusion of patients and health care providers during the design, while 1 app noted that IT and communications experts provided design input. The utility of the apps for end users was measured in several ways, including acceptability (measuring the end users' experience), usability (assessing the functionality and performance by observing real users completing tasks), or qualitative data (reports from end users collected from interviews or focus groups).
This review explored the literature on cancer mHealth apps. Popular features within these mHealth apps include symptom trackers, cancer education, and medication trackers. However, these apps and features are often developed with little input from patients. Additionally, there is little information regarding patient preferences for the features of existing apps. While the number of cancer-related apps available for download continues to increase, further exploration of patient preferences for app features could result in apps that better meet patient disease self-management needs.</abstract><cop>Canada</cop><pub>JMIR Publications</pub><pmid>37115587</pmid><doi>10.2196/37330</doi><orcidid>https://orcid.org/0000-0002-6142-1744</orcidid><orcidid>https://orcid.org/0000-0002-6725-9207</orcidid><orcidid>https://orcid.org/0000-0003-1064-5788</orcidid><orcidid>https://orcid.org/0000-0001-6537-3092</orcidid><orcidid>https://orcid.org/0000-0002-6500-3339</orcidid><orcidid>https://orcid.org/0000-0001-5956-7181</orcidid><orcidid>https://orcid.org/0000-0002-9903-5996</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2369-1999 |
ispartof | JMIR cancer, 2023-04, Vol.9, p.e37330-e37330 |
issn | 2369-1999 2369-1999 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_c44ad65f2d054841948f502762922002 |
source | PubMed (Medline); Publicly Available Content Database |
subjects | Cancer therapies Caregivers Chronic illnesses Disease prevention Literature reviews Oncology Palliative care Patient satisfaction Preferences Review Smartphones Software Systematic review Telemedicine Text messaging |
title | Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T06%3A17%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Features%20of%20Cancer%20mHealth%20Apps%20and%20Evidence%20for%20Patient%20Preferences:%20Scoping%20Literature%20Review&rft.jtitle=JMIR%20cancer&rft.au=Vaffis,%20Shannon&rft.date=2023-04-28&rft.volume=9&rft.spage=e37330&rft.epage=e37330&rft.pages=e37330-e37330&rft.issn=2369-1999&rft.eissn=2369-1999&rft_id=info:doi/10.2196/37330&rft_dat=%3Cproquest_doaj_%3E2807910997%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c458t-2580a4127720fd687d6c30e6b57130bd129bde664bd75d22542a7d97942a53453%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2917583877&rft_id=info:pmid/37115587&rfr_iscdi=true |