Medication Management Initiatives Using Wearable Devices: Scoping Review
Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance...
Saved in:
| Published in | JMIR human factors Vol. 11; p. e57652 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Canada
JMIR Publications
27.11.2024
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 2292-9495 2292-9495 |
| DOI | 10.2196/57652 |
Cover
| Abstract | Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted.
This study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered.
Adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems.
We screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication.
WDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes. |
|---|---|
| AbstractList | Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted.BackgroundWearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted.This study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered.ObjectiveThis study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered.Adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems.MethodsAdhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems.We screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication.ResultsWe screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication.WDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes.ConclusionsWDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes. Abstract BackgroundWearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted. ObjectiveThis study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered. MethodsAdhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems. ResultsWe screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication. ConclusionsWDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes. Background:Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted.Objective:This study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered.Methods:Adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems.Results:We screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication.Conclusions:WDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes. Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and blood oxygen levels. Their application in health care, particularly medication management, is an emerging field poised to significantly enhance patient adherence to treatment regimens. Despite their widespread use and increasing incorporation into clinical trials, a comprehensive review of WDs in terms of medication adherence has not been conducted. This study aimed to conduct a comprehensive scoping review to evaluate the impact of WDs on medication adherence across a variety of diseases, summarizing key research findings, outcomes, and challenges encountered. Adhering to PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, a structured search was conducted across MEDLINE, Web of Science, and Embase databases, covering the literature from January 1, 2010, to September 30, 2022. The search strategy was based on terms related to WDs and medication adherence, specifically focusing on empirical studies to ensure the inclusion of original research findings. Studies were selected based on their relevance to medication adherence, usage of WDs in detecting medication-taking actions, and their role in integrated medication management systems. We screened 657 articles and identified 18 articles. The identified studies demonstrated the diverse applications of WDs in enhancing medication adherence across diseases such as Parkinson disease, diabetes, and cardiovascular conditions. The geographical distribution and publication years of these studies indicate a growing interest in this research area. The studies were divided into three types: (1) studies reporting a correlation between data from WDs or their usage and medication adherence or drug usage as outcomes, (2) studies using WDs to detect the act of medication-taking itself, and (3) studies proposing an integrated medication management system that uses WDs in managing medication. WDs are increasingly being recognized for their potential to enhance medication management and adherence. This review underscores the need for further empirical research to validate the effectiveness of WDs in real-life settings and explore their use in predicting adherence based on activity rhythms and activities. Despite technological advancements, challenges remain regarding the integration of WDs into routine clinical practice. Future research should focus on leveraging the comprehensive data provided by WDs to develop personalized medication management strategies that can improve patient outcomes. |
| Author | Kizaki, Hayato Iino, Haru Imai, Shungo Hori, Satoko |
| Author_xml | – sequence: 1 givenname: Haru orcidid: 0009-0005-5485-3257 surname: Iino fullname: Iino, Haru – sequence: 2 givenname: Hayato orcidid: 0000-0002-4572-1333 surname: Kizaki fullname: Kizaki, Hayato – sequence: 3 givenname: Shungo orcidid: 0000-0001-5706-613X surname: Imai fullname: Imai, Shungo – sequence: 4 givenname: Satoko orcidid: 0000-0002-4596-5418 surname: Hori fullname: Hori, Satoko |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/39602520$$D View this record in MEDLINE/PubMed |
| BookMark | eNpdkl1rFDEUhoO02Fr3L8iACN6szdckE29E6kcXWgS1eBnOJCdrltlkncyu-O9Nu21pe5XwnoeHk5PzghyknJCQGaPvODPqtNWq5c_IMeeGz4007cGD-xGZlbKilDIlW6nkc3IkjKK85fSYnF-ijw6mmFNzCQmWuMY0NYsUp1jTHZbmqsS0bH4hjNAP2HzCXXRY3jc_XN5cV77XAP--JIcBhoKz2_OEXH35_PPsfH7x7evi7OPF3EnOpzn3niro-w7QQ-s5BB6klj3zwfsgA-OKCW7AaRmoEKjAYxAUO8V959ogTshi7_UZVnYzxjWM_2yGaG-CPC4tjFN0A1oKAZimrNPaSex6CEJy1Nz0neaup9X1Ye_abPs1eldfPsLwSPq4kuJvu8w7y5hivGWmGt7eGsb8Z4tlsutYHA4DJMzbYgUTQgtpOl3R10_QVd6Oqc6qUnU2neFaVurVw5bue7n7sQq82QNuzKWMGO4RRu31MtibZRD_ASZ0pQY |
| Cites_doi | 10.1007/s10916-019-1518-8 10.7326/M18-0850 10.5498/wjp.v4.i2.30 10.3390/s18092772 10.1038/s41746-021-00465-w 10.1038/s41569-021-00522-7 10.1016/j.ypmed.2017.03.008 10.1155/2020/4693019 10.1002/adhm.201701150 10.1016/j.amjsurg.2019.02.018 10.1371/journal.pone.0053373 10.1016/j.artmed.2016.03.004 10.1186/s40545-021-00385-w 10.3390/s21113594 10.3390/diagnostics12102563 10.1371/journal.pmed.1002891 10.1002/brb3.1599 10.1007/s00415-017-8424-0 10.1038/s41440-023-01215-z 10.1093/tbm/ibz069 10.4088/JCP.16m10643 10.1002/pds.3935 10.2196/mhealth.6432 10.1109/JSTQE.2015.2478657 10.1111/jch.12787 10.1371/journal.pone.0244842 10.3390/s19204539 10.3390/nano9060813 10.2147/PPA.S362889 10.1111/j.1365-2125.2012.04167.x 10.1038/s41570-022-00439-w 10.1016/j.japh.2016.01.005 10.1186/s12955-018-0921-z 10.3390/bios12050292 10.1111/cts.12701 10.1002/adma.201706910 10.3389/fpubh.2022.805856 10.1111/anae.15834 10.2196/18907 10.3390/molecules26030748 10.1016/j.talanta.2017.08.077 10.1136/bjsports-2020-103594 10.1038/s41531-023-00585-y 10.1111/jns.12518 10.2196/33264 10.2196/11486 10.1038/s41746-021-00436-1 10.1080/17437199.2022.2034516 10.3389/fnins.2017.00555 10.3390/asi1020014 10.2196/36690 10.1161/CIRCOUTCOMES.119.005509 10.1007/s12529-020-09862-z 10.1056/NEJMra050100 |
| ContentType | Journal Article |
| Copyright | Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori. Originally published in JMIR Human Factors (https://humanfactors.jmir.org). 2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/" target="_blank">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. Copyright © Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori. Originally published in JMIR Human Factors (https://humanfactors.jmir.org) 2024 |
| Copyright_xml | – notice: Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori. Originally published in JMIR Human Factors (https://humanfactors.jmir.org). – notice: 2024. This work is licensed under https://creativecommons.org/licenses/by/4.0/" target="_blank">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. – notice: Copyright © Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori. Originally published in JMIR Human Factors (https://humanfactors.jmir.org) 2024 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88G 8FI 8FJ 8FK ABUWG AFKRA AZQEC BENPR CCPQU COVID DWQXO FYUFA GHDGH GNUQQ K9. M0S M2M PHGZM PHGZT PIMPY PKEHL PQEST PQQKQ PQUKI PRINS PSYQQ Q9U 7X8 5PM DOA |
| DOI | 10.2196/57652 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Psychology Database (Alumni) ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central ProQuest Central UK/Ireland ProQuest Central Essentials ProQuest Central ProQuest One Community College Coronavirus Research Database ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student ProQuest Health & Medical Complete (Alumni) ProQuest Health & Medical Collection Psychology Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest One Psychology ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals (WRLC) |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest One Psychology ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) ProQuest One Community College ProQuest Central China ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) ProQuest Central Korea ProQuest Central (New) ProQuest Central Basic ProQuest One Academic Eastern Edition Coronavirus Research Database ProQuest Hospital Collection Health Research Premium Collection (Alumni) ProQuest Psychology Journals (Alumni) ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Psychology Journals ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE - Academic Publicly Available Content Database MEDLINE |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals (DOAJ) url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 4 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Public Health |
| EISSN | 2292-9495 |
| EndPage | e57652 |
| ExternalDocumentID | oai_doaj_org_article_0afa1701877c4e8baf342e729b872cb0 PMC11612519 39602520 10_2196_57652 |
| Genre | Journal Article Scoping Review |
| GeographicLocations | United States--US China |
| GeographicLocations_xml | – name: China – name: United States--US |
| GroupedDBID | 53G 5VS 7X7 8FI 8FJ AAFWJ AAYXX ABUWG ADBBV AFKRA AFPKN ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS ARCSS AZQEC BAWUL BCNDV BENPR CCPQU CITATION DIK DWQXO FYUFA GNUQQ GROUPED_DOAJ HMCUK HYE KQ8 M2M M48 M~E OK1 PGMZT PHGZM PHGZT PIMPY PSYQQ RPM UKHRP CGR CUY CVF ECM EIF NPM 3V. 7XB 8FK COVID K9. PKEHL PQEST PQQKQ PQUKI PRINS Q9U 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c422t-2dd06abb8aeda5d2af2f474b1dfddf4f1261329ac74f033e6adef30e862d8c5f3 |
| IEDL.DBID | M48 |
| ISSN | 2292-9495 |
| IngestDate | Wed Aug 27 01:28:37 EDT 2025 Thu Aug 21 18:35:35 EDT 2025 Thu Sep 04 18:22:53 EDT 2025 Mon Jun 30 12:17:38 EDT 2025 Fri Jan 31 01:44:19 EST 2025 Tue Jul 01 01:00:05 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | synthesis review methods wearable pharmaceutics adherence integrated medication management database search medication medication adherence drug digital health pharmacotherapy pharmacology pharmacy scoping review |
| Language | English |
| License | Haru Iino, Hayato Kizaki, Shungo Imai, Satoko Hori. Originally published in JMIR Human Factors (https://humanfactors.jmir.org). This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c422t-2dd06abb8aeda5d2af2f474b1dfddf4f1261329ac74f033e6adef30e862d8c5f3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Literature Review-2 ObjectType-Feature-3 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 None declared. |
| ORCID | 0000-0002-4572-1333 0000-0001-5706-613X 0000-0002-4596-5418 0009-0005-5485-3257 |
| OpenAccessLink | http://journals.scholarsportal.info/openUrl.xqy?doi=10.2196/57652 |
| PMID | 39602520 |
| PQID | 3142289274 |
| PQPubID | 4997115 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_0afa1701877c4e8baf342e729b872cb0 pubmedcentral_primary_oai_pubmedcentral_nih_gov_11612519 proquest_miscellaneous_3133734987 proquest_journals_3142289274 pubmed_primary_39602520 crossref_primary_10_2196_57652 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20241127 |
| PublicationDateYYYYMMDD | 2024-11-27 |
| PublicationDate_xml | – month: 11 year: 2024 text: 20241127 day: 27 |
| PublicationDecade | 2020 |
| PublicationPlace | Canada |
| PublicationPlace_xml | – name: Canada – name: Toronto – name: Toronto, Canada |
| PublicationTitle | JMIR human factors |
| PublicationTitleAlternate | JMIR Hum Factors |
| PublicationYear | 2024 |
| Publisher | JMIR Publications |
| Publisher_xml | – name: JMIR Publications |
| References | Daar (R47); 13 Lu (R49); 2020 Prieto-Avalos (R18); 12 Rovini (R24); 11 Zhang (R35); 10 Bayoumy (R27); 18 R21 Liddelow (R6); 27 Cochran (R36); 4 Conn (R8); 99 Han (R13); 46 Lee (R39); 21 McDonough (R22); 55 Arakawa (R14); 18 R3 Belknap (R37); 8 Robinson (R7); 18 Islam (R53); 7 Lee (R5); 16 Mattison (R25); 24 Sempionatto (R20); 6 da Silva (R30); 19 Noble (R44); 56 Vrijens (R4); 73 Tricco (R32); 169 Yetisen (R9); 30 Quisel (R31); 21 Takahashi (R26); 12 Sharma (R12); 26 Kalantarian (R40); 69 Chan (R19); 77 Profit (R46); 77 Kwan (R23); 10 Silva de Lima (R50); 264 Contreras-Naranjo (R56); 22 Cochran (R45); 16 Ahmed (R54); 6 Lee (R16); 7 Mantovani (R28); 27 DiCarlo (R43); 18 Bijlsma (R51); 25 Spaulding (R41); 12 Moreau (R48); 9 Guk (R11); 9 Kim (R17); 177 Bent (R15); 4 Fozoonmayeh (R29); 44 Lu (R10); 8 Chakrabarti (R2); 4 Browne (R38); 16 Prieto-Merino (R52); 14 Aldeer (R55); 1 Agurto (R33); 16 Osterberg (R1); 353 Zhang (R34); 10 Levine (R42); 218 |
| References_xml | – volume: 44 issue: 4 ident: R29 article-title: A scalable smartwatch-based medication intake detection system using distributed machine learning publication-title: J Med Syst doi: 10.1007/s10916-019-1518-8 – volume: 169 start-page: 467 issue: 7 ident: R32 article-title: PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation publication-title: Ann Intern Med doi: 10.7326/M18-0850 – volume: 4 start-page: 30 issue: 2 ident: R2 article-title: What’s in a name? Compliance, adherence and concordance in chronic psychiatric disorders publication-title: World J Psychiatry doi: 10.5498/wjp.v4.i2.30 – volume: 18 issue: 9 ident: R14 article-title: Recent research and developing trends of wearable sensors for detecting blood pressure publication-title: Sensors (Basel) doi: 10.3390/s18092772 – volume: 4 issue: 1 ident: R15 article-title: Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches publication-title: NPJ Digit Med doi: 10.1038/s41746-021-00465-w – volume: 18 start-page: 581 issue: 8 ident: R27 article-title: Smart wearable devices in cardiovascular care: where we are and how to move forward publication-title: Nat Rev Cardiol doi: 10.1038/s41569-021-00522-7 – volume: 99 ident: R8 article-title: Medication adherence outcomes of 771 intervention trials: systematic review and meta-analysis publication-title: Prev Med doi: 10.1016/j.ypmed.2017.03.008 – volume: 2020 ident: R49 article-title: Evaluation of wearable sensor devices in Parkinson’s disease: a review of current status and future prospects publication-title: Parkinsons Dis doi: 10.1155/2020/4693019 – volume: 7 issue: 8 ident: R16 article-title: Enzyme-based glucose sensor: from invasive to wearable device publication-title: Adv Healthc Mater doi: 10.1002/adhm.201701150 – volume: 218 start-page: 18 issue: 1 ident: R42 article-title: Transplant surgery enters a new era: increasing immunosuppressive medication adherence through mobile apps and smart watches publication-title: Am J Surg doi: 10.1016/j.amjsurg.2019.02.018 – volume: 8 issue: 1 ident: R37 article-title: Feasibility of an ingestible sensor-based system for monitoring adherence to tuberculosis therapy publication-title: PLoS One doi: 10.1371/journal.pone.0053373 – volume: 69 ident: R40 article-title: A wearable sensor system for medication adherence prediction publication-title: Artif Intell Med doi: 10.1016/j.artmed.2016.03.004 – volume: 14 issue: 1 ident: R52 article-title: Estimating proportion of days covered (PDC) using real-world online medicine suppliers’ datasets publication-title: J Pharm Policy Pract doi: 10.1186/s40545-021-00385-w – volume: 21 start-page: 3594 issue: 11 ident: R39 article-title: Development of a wearable camera and AI algorithm for medication behavior recognition publication-title: Sensors (Basel) doi: 10.3390/s21113594 – volume: 12 issue: 10 ident: R26 article-title: Wearable technology for monitoring respiratory rate and SpO of COVID-19 patients: a systematic review publication-title: Diagnostics (Basel) doi: 10.3390/diagnostics12102563 – volume: 16 issue: 10 ident: R38 article-title: Wirelessly observed therapy compared to directly observed therapy to confirm and support tuberculosis treatment adherence: a randomized controlled trial publication-title: PLoS Med doi: 10.1371/journal.pmed.1002891 – volume: 10 issue: 6 ident: R35 article-title: Adherence with blood pressure monitoring wearable device among the elderly with hypertension: the case of rural China publication-title: Brain Behav doi: 10.1002/brb3.1599 – volume: 264 start-page: 1642 issue: 8 ident: R50 article-title: Freezing of gait and fall detection in Parkinson’s disease using wearable sensors: a systematic review publication-title: J Neurol doi: 10.1007/s00415-017-8424-0 – volume: 46 start-page: 922 issue: 4 ident: R13 article-title: Feasibility and measurement stability of smartwatch-based cuffless blood pressure monitoring: a real-world prospective observational study publication-title: Hypertens Res doi: 10.1038/s41440-023-01215-z – volume: 10 start-page: 1053 issue: 4 ident: R34 article-title: What matters the adherence with BP 24-hr self-monitoring wearable device among hypertensive patients? A population-based survey publication-title: Transl Behav Med doi: 10.1093/tbm/ibz069 – volume: 77 start-page: e1095 issue: 9 ident: R46 article-title: Developing a digital medicine system in psychiatry: ingestion detection rate and latency period publication-title: J Clin Psychiatry doi: 10.4088/JCP.16m10643 – volume: 25 start-page: 325 issue: 3 ident: R51 article-title: Estimating time-varying drug adherence using electronic records: extending the proportion of days covered (PDC) method publication-title: Pharmacoepidemiol Drug Saf doi: 10.1002/pds.3935 – volume: 6 issue: 3 ident: R54 article-title: Medication adherence apps: review and content analysis publication-title: JMIR Mhealth Uhealth doi: 10.2196/mhealth.6432 – volume: 22 start-page: 1 issue: 3 ident: R56 article-title: Mobile phone-based microscopy, sensing, and diagnostics publication-title: IEEE J Select Topics Quantum Electron doi: 10.1109/JSTQE.2015.2478657 – volume: 18 start-page: 901 issue: 9 ident: R43 article-title: Patient-centered home care using digital medicine and telemetric data for hypertension: feasibility and acceptability of objective ambulatory assessment publication-title: J Clin Hypertens (Greenwich) doi: 10.1111/jch.12787 – volume: 16 issue: 2 ident: R33 article-title: Parkinson’s disease medication state and severity assessment based on coordination during walking publication-title: PLoS One doi: 10.1371/journal.pone.0244842 – volume: 19 issue: 20 ident: R30 article-title: Commercial devices-based system designed to improve the treatment adherence of hypertensive patients publication-title: Sensors (Basel) doi: 10.3390/s19204539 – volume: 9 issue: 6 ident: R11 article-title: Evolution of wearable devices with real-time disease monitoring for personalized healthcare publication-title: Nanomaterials (Basel) doi: 10.3390/nano9060813 – volume: 16 ident: R45 article-title: Participant engagement and symptom improvement: aripiprazole tablets with sensor for the treatment of schizophrenia publication-title: Patient Prefer Adherence doi: 10.2147/PPA.S362889 – volume: 73 start-page: 691 issue: 5 ident: R4 article-title: A new taxonomy for describing and defining adherence to medications publication-title: Br J Clin Pharmacol doi: 10.1111/j.1365-2125.2012.04167.x – volume: 6 start-page: 899 issue: 12 ident: R20 article-title: Wearable chemical sensors for biomarker discovery in the omics era publication-title: Nat Rev Chem doi: 10.1038/s41570-022-00439-w – volume: 56 start-page: 310 issue: 3 ident: R44 article-title: Medication adherence and activity patterns underlying uncontrolled hypertension: assessment and recommendations by practicing pharmacists using digital health care publication-title: J Am Pharm Assoc doi: 10.1016/j.japh.2016.01.005 – volume: 16 issue: 1 ident: R5 article-title: Relationships among medication adherence, lifestyle modification, and health-related quality of life in patients with acute myocardial infarction: a cross-sectional study publication-title: Health Qual Life Outcomes doi: 10.1186/s12955-018-0921-z – ident: R21 – volume: 12 issue: 5 ident: R18 article-title: Wearable devices for physical monitoring of heart: a review publication-title: Biosensors (Basel) doi: 10.3390/bios12050292 – volume: 13 start-page: 189 issue: 1 ident: R47 article-title: Real-time and wireless assessment of adherence to antiretroviral therapy with co-encapsulated ingestion sensor in HIV-infected patients: a pilot study publication-title: Clin Transl Sci doi: 10.1111/cts.12701 – volume: 30 issue: 33 ident: R9 article-title: Wearables in medicine publication-title: Adv Mater doi: 10.1002/adma.201706910 – volume: 10 ident: R23 article-title: EMPOWERing Patients With Diabetes Using Profiling and Targeted Feedbacks Delivered Through Smartphone App and Wearable (EMPOWER): protocol for a randomized controlled trial on effectiveness and implementation publication-title: Front Public Health doi: 10.3389/fpubh.2022.805856 – ident: R3 – volume: 77 start-page: 1268 issue: 11 ident: R19 article-title: Novel wearable and contactless heart rate, respiratory rate, and oxygen saturation monitoring devices: a systematic review and meta-analysis publication-title: Anaesthesia doi: 10.1111/anae.15834 – volume: 8 issue: 11 ident: R10 article-title: Wearable health devices in health care: narrative systematic review publication-title: JMIR Mhealth Uhealth doi: 10.2196/18907 – volume: 26 issue: 3 ident: R12 article-title: Wearable biosensors: an alternative and practical approach in healthcare and disease monitoring publication-title: Molecules doi: 10.3390/molecules26030748 – volume: 177 ident: R17 article-title: Wearable non-invasive epidermal glucose sensors: a review publication-title: Talanta doi: 10.1016/j.talanta.2017.08.077 – volume: 55 start-page: 917 issue: 16 ident: R22 article-title: Health wearable devices for weight and BMI reduction in individuals with overweight/obesity and chronic comorbidities: systematic review and network meta-analysis publication-title: Br J Sports Med doi: 10.1136/bjsports-2020-103594 – volume: 9 issue: 1 ident: R48 article-title: Overview on wearable sensors for the management of Parkinson’s disease publication-title: NPJ Parkinsons Dis doi: 10.1038/s41531-023-00585-y – volume: 27 start-page: 238 issue: 4 ident: R28 article-title: Wearables, sensors, and smart devices for the detection and monitoring of chemotherapy-induced peripheral neurotoxicity: systematic review and directions for future research publication-title: J Peripher Nerv Syst doi: 10.1111/jns.12518 – volume: 7 issue: 2 ident: R53 article-title: Smartphone apps for diabetes medication adherence: systematic review publication-title: JMIR Diabetes doi: 10.2196/33264 – volume: 21 issue: 3 ident: R31 article-title: The association between medication adherence for chronic conditions and digital health activity tracking: retrospective analysis publication-title: J Med Internet Res doi: 10.2196/11486 – volume: 4 issue: 1 ident: R36 article-title: Characterization of activity behavior using a digital medicine system and comparison to medication ingestion in patients with serious mental illness publication-title: NPJ Digit Med doi: 10.1038/s41746-021-00436-1 – volume: 18 start-page: 1 issue: 1 ident: R7 article-title: A machine-learning assisted review of the use of habit formation in medication adherence interventions for long-term conditions publication-title: Health Psychol Rev doi: 10.1080/17437199.2022.2034516 – volume: 11 ident: R24 article-title: How wearable sensors can support Parkinson’s disease diagnosis and treatment: a systematic review publication-title: Front Neurosci doi: 10.3389/fnins.2017.00555 – volume: 1 start-page: 14 issue: 2 ident: R55 article-title: A review of medication adherence monitoring technologies publication-title: Appl Syst Innov doi: 10.3390/asi1020014 – volume: 24 issue: 7 ident: R25 article-title: The influence of wearables on health care outcomes in chronic disease: systematic review publication-title: J Med Internet Res doi: 10.2196/36690 – volume: 12 issue: 5 ident: R41 article-title: Corrie health digital platform for self-management in secondary prevention after acute myocardial infarction publication-title: Circ Cardiovasc Qual Outcomes doi: 10.1161/CIRCOUTCOMES.119.005509 – volume: 27 start-page: 389 issue: 4 ident: R6 article-title: Exploring medication adherence amongst Australian adults using an extended theory of planned behaviour publication-title: Int J Behav Med doi: 10.1007/s12529-020-09862-z – volume: 353 start-page: 487 issue: 5 ident: R1 article-title: Adherence to medication publication-title: N Engl J Med doi: 10.1056/NEJMra050100 |
| SSID | ssj0001645464 |
| Score | 2.2883236 |
| SecondaryResourceType | review_article |
| Snippet | Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart rate and... Background:Wearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such as heart... Abstract BackgroundWearable devices (WDs) have evolved beyond simple fitness trackers to sophisticated health monitors capable of measuring vital signs, such... |
| SourceID | doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database |
| StartPage | e57652 |
| SubjectTerms | Adhesives Assessment of Medication Adherence Blood pressure Chronic Disease Self-Management in Childhood and Adolescence Chronic illnesses Clinical trials Diabetes Disease Humans Hypertension Medical Subject Headings-MeSH Medication Adherence Medication Therapy Management mHealth for Symptom and Disease Monitoring, Chronic Disease Management mHealth for Treatment Adherence Parkinson's disease Patient compliance Research methodology Review Reviews on Human Factors Sensors Subject heading schemes Systematic review Tuberculosis Wearable computers Wearable Devices and Sensors Wearable Electronic Devices |
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals (WRLC) dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT8QgEJ4YD8bEGN_WVzDx2kiBAvXmM6uJXtTorYEC0Us1uv5_GVjXXWPixWtpCP0GynzDzAfAgeu4iV6ILSkNshScmdI6SstQMSOdFo31GNC_vpGDe3H1WD9OXPWFOWFZHjgDd0hNMKgZrpXqhNfWBC6Yjy6h1Yp1NrF12tAJMpWiKyhUJcUcLGCuc5xlkfjLmk1tPkmj_zfH8md-5MSGc7EEiyNPkRznES7DjO9XYCGH2UiuHlqFQT5oQXTJdyYLucSUoCTp_U5SUgB5iDMaq6TImU__hiNy26VaKZJPB9bg_uL87nRQji5HKDvB2LBkzlFprNXGO1M7ZgILQglbueBcEBFriXfIm06JQDn30jgfOPWRwTjd1YGvw2z_0vtNILUOUgfXSe4aQbVrqPMKlaWYrkwdWAF7X6i1r1kDo43cAWFtE6wFnCCW40aUrE4PoiHbkSHbvwxZwM6XJdrROnpvOYaodBOpcwH74-a4AvBYw_T-5QPf4Vxx0WhVwEY23HgkPBI0VrPYuZ4y6dRQp1v656eksl1Vyflrtv7j47ZhnkVvCIsYmdqB2eHbh9-N3szQ7qWJ-wnlrvSF priority: 102 providerName: Directory of Open Access Journals – databaseName: Health & Medical Collection dbid: 7X7 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwEB5BkRBShVpeDbSVkbhGOLZjO1wQFKoFCS5QsbfI9tiFS7Z0t_-_Hie7yyLENY4ia2bsfPP6BuAVBukyCvE150nXSgpXe-S8To1wGq3qfKSA_pevenahPs_b-RRwW05lles7sVzUuAgUI38tKVhhu-xEvb36XdPUKMquTiM07sK9Ql2W7dnMzTbGQnRVWt2Hfap4zraW3X_dip1fUGHq_xe8_LtK8o_fzvkBPJzwIns3KvgQ7sThEeyPwTY29hA9htmYbiEZs209C_tEhUGF2HvJSmkA-5Htmnql2IdYbog37FsoHVNszBE8gYvzj9_PZvU0IqEOWRyrWiBy7by3LqJrUbgkkjLKN5gQk8oS1zRJ3gWjEpcyaocxSR6zH4M2tEk-hb1hMcQjYK1N2iYMWmKnuMWOYzTELyVs49okKjhdS62_Gpkw-uxBkFj7ItYK3pMsN4tEXF0eLK4v--kc9NwlRxTw1pigovUuSSViRvjeGhE8r-B4rYl-Ok3Lfqv7Cl5ulvM5oOSGG-Liht6R0kjVWVPBs1Fxm53I7KaJVuSP2x2V7mx1d2X49bNwbTdNgYDd8__v6wU8EBntUJOiMMewt7q-iScZraz8aTHJW4Ji6_k priority: 102 providerName: ProQuest |
| Title | Medication Management Initiatives Using Wearable Devices: Scoping Review |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/39602520 https://www.proquest.com/docview/3142289274 https://www.proquest.com/docview/3133734987 https://pubmed.ncbi.nlm.nih.gov/PMC11612519 https://doaj.org/article/0afa1701877c4e8baf342e729b872cb0 |
| Volume | 11 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1taxQxEB60BRGK-O5qXSL4dSU3ySZZQcRqyym0iHrYb0uySVSQPb1eQf-9k-ze2ZV-8Otm35jJy_NMZp4APPWdsIRCXMV5VJUUaCvnOa_iDK3yRjYupID-8YmaL-S70_pCNuFowLNLqV06T2qx-v7s18_fL2nAv0hpzNSBiNOrmmbhXVqMVOJfxyPCz2GWpFiVRaQQG6wa4gPXYG_y5GRFysL9l6HNf5MmL6xCRzfhxggf2avB37fgSuhvw94Qe2NDSdEdmA-7L8nk7G96C3ub8oSyzvcZy5kC7DN181Q6xd6EPGE8Zx-7XEDFhi2Du7A4Ovz0el6NJyZUnURcV-g9V9Y5Y4O3tUcbMUot3cxH76MkB6h0sLzttIxciKCsD1HwQLTGm66O4h7s9Ms-PABWm6hM9J0SvpHc-Ib7oJPcFJqZrSMWUG6s1v4YhDFaIhTJrG02awEHyZbbxqRjnS8sV1_acVi03EabFOGN1p0MxtkoJAYC_M5o7BwvYH_jiXbTN1qR4lamIT5dwJNtMw2LtNdh-7A8T_cIoYVsjC7g_uC47Z8IYm1YI73cTFw6-dVpS__ta5bens0yImwe_seHH8F1JASUChdR78POenUeHhOCWbsSrupTXcLuweHJ-w9ljgOUud_-AcXX880 |
| linkProvider | Scholars Portal |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9QwEB6VrQRIFeLdQClGgmNUx3YSBwkhSlvt0naFoBW9pX4Cl2zb3Qrxp_ob63GSXRYhbr3GkTWah_3NeB4Ar63hKqAQnVLqi1RwplJtKU19xlRhpai0w4D-4bgYHotPJ_nJClz1tTCYVtmfifGgthODMfItjsEKWQUn6v3ZeYpTo_B1tR-h0arFvvv9K7hs03ejnSDfN4zt7R59HKbdVIHUhB1mKbOWFkprqZxVuWXKMy9KoTPrrfUiEFng8HVlSuEp565Q1nlOXYD-Vprc87DvLVgVWNE6gNXt3fHnL4uoDjbIKsRtWMMc66DdWwHP52zp0ouzAf4FaP_Oy_zjotu7D_c6hEo-tCr1AFZc8xDW2vAeaauWHsGwfeBBqZJFBg0ZYSpSbCU-JTEZgXwLLMPqLLLj4pn0lnw1sUaLtK8Sj-H4Rtj3BAbNpHHrQHLpC-mtKbitBJW2otaV2NGKyUzlniWw2XOtPmt7b9TBZ0G21pGtCWwjL-eL2Co7fphcfK87y6up8gqbzsuyNMJJrTwXzAWfQsuSGU0T2OglUXf2O60X2pbAq_lysDx8TlGNm1ziP5yXXFSyTOBpK7g5JTw4hixnYXO5JNIlUpdXmp8_YnfvLIugs3r2f7pewp3h0eFBfTAa7z-HuyxgLSyRZOUGDGYXl-5FwEozvdkpKIHTm7aJa8tMLPc |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3di9QwEB_OEw7hEL-tnmcEfSybJmmTCiLquux6egh6uG81bRL1pXve7iH-a_51zqTtrivi2702JQzzkfxmMh8Aj10jLaKQOuU8FKmSwqa14zwNmbCFM6qsPQX03x0X0xP1Zp7Pd-DXUAtDaZXDmRgPardoKEY-khSsMCU6UaPQp0W8H0-en35PaYIUvbQO4zQ6FTnyP3-g-7Z8NhujrJ8IMXn98dU07ScMpA3utkqFc7ywdW2sdzZ3wgYRlFZ15oJzQSHBBQ1it41WgUvpC-t8kNyjG-BMkweJ-16Cy1oiqkJb0nO9ie9Qq6xC7cE-ZVujno8Q2edi6_qLUwL-BW3_ztD848qbXIOrPVZlLzrlug47vr0B-12gj3X1Szdh2j31kHzZJpeGzSgpKTYVX7KYlsA-IcOoTouNfTydnrIPTazWYt37xC04uRDm3YbddtH6u8ByEwoTXFNIVypuXMmd19TbSpjM5kEkcDhwrTrtunBU6L0QW6vI1gReEi_Xi9Q0O35YnH2pehusuA2W2s8brRvlTW2DVMKjd1EbLZqaJ3AwSKLqLXlZbfQugUfrZbRBelixrV-c0z9SaqlKoxO40wluTYlEF1HkAjc3WyLdInV7pf32Nfb5zrIIP8t7_6frIeyhJVRvZ8dH9-GKQNBFtZJCH8Du6uzcP0DQtKoPo3Yy-HzR5vAbJCAvvg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Medication+Management+Initiatives+Using+Wearable+Devices%3A+Scoping+Review&rft.jtitle=JMIR+human+factors&rft.au=Iino%2C+Haru&rft.au=Kizaki%2C+Hayato&rft.au=Imai%2C+Shungo&rft.au=Hori%2C+Satoko&rft.date=2024-11-27&rft.issn=2292-9495&rft.eissn=2292-9495&rft.volume=11&rft.spage=e57652&rft_id=info:doi/10.2196%2F57652&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2292-9495&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2292-9495&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2292-9495&client=summon |