Factors Associated with Veteran Self-Reported Use of Digital Health Devices Article Swipe
Stephanie A. Robinson
,
Stephanie L. Shimada
,
Mark S. Zocchi
,
Bella Etingen
,
Bridget Smith
,
Nicholas McMahon
,
Sarah L. Cutrona
,
Julie S. Harmon
,
Nancy R. Wilck
,
Timothy P. Hogan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s11606-023-08479-8
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1007/s11606-023-08479-8
Background Digital health devices (DHDs), technologies designed to gather, monitor, and sometimes share data about health-related behaviors or symptoms, can support the prevention or management of chronic conditions. DHDs range in complexity and utility, from tracking lifestyle behaviors (e.g., pedometer) to more sophisticated biometric data collection for disease self-management (e.g., glucometers). Despite these positive health benefits, supporting adoption and sustained use of DHDs remains a challenge. Objective This analysis examined the prevalence of, and factors associated with, DHD use within the Veterans Health Administration (VHA). Design National survey. Participants Veterans who receive VHA care and are active secure messaging users. Main Measures Demographics, access to technology, perceptions of using health technologies, and use of lifestyle monitoring and self-management DHDs. Results Among respondents, 87% were current or past users of at least one DHD, and 58% were provided a DHD by VHA. Respondents 65 + years were less likely to use a lifestyle monitoring device (AOR 0.57, 95% CI [0.39, 0.81], P = .002), but more likely to use a self-management device (AOR 1.69, 95% [1.10, 2.59], P = . 016). Smartphone owners were more likely to use a lifestyle monitoring device (AOR 2.60, 95% CI [1.42, 4.75], P = .002) and a self-management device (AOR 1.83, 95% CI [1.04, 3.23], P = .037). Conclusions The current analysis describes the types of DHDs that are being adopted by Veterans and factors associated with their adoption. Results suggest that various factors influence adoption, including age, access to technology, and health status, and that these relationships may differ based on the functionalities of the device. VHA provision of devices was frequent among device users. Providing Veterans with DHDs and the training needed to use them may be important factors in facilitating device adoption. Taken together, this knowledge can inform future implementation efforts, and next steps to support patient-team decision making about DHD use.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s11606-023-08479-8
- https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdf
- OA Status
- hybrid
- Cited By
- 4
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391108250
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391108250Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s11606-023-08479-8Digital Object Identifier
- Title
-
Factors Associated with Veteran Self-Reported Use of Digital Health DevicesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-22Full publication date if available
- Authors
-
Stephanie A. Robinson, Stephanie L. Shimada, Mark S. Zocchi, Bella Etingen, Bridget Smith, Nicholas McMahon, Sarah L. Cutrona, Julie S. Harmon, Nancy R. Wilck, Timothy P. HoganList of authors in order
- Landing page
-
https://doi.org/10.1007/s11606-023-08479-8Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdfDirect OA link when available
- Concepts
-
Medicine, Demographics, Self-management, Disease management, Gerontology, Pedometer, Health care, Family medicine, Health management system, Physical therapy, Demography, Alternative medicine, Physical activity, Economics, Pathology, Sociology, Machine learning, Computer science, Economic growthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4391108250 |
|---|---|
| doi | https://doi.org/10.1007/s11606-023-08479-8 |
| ids.doi | https://doi.org/10.1007/s11606-023-08479-8 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/38252248 |
| ids.openalex | https://openalex.org/W4391108250 |
| fwci | 7.38897697 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D057566 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Self Report |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D014728 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Veterans |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D000097103 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Digital Health |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D011795 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Surveys and Questionnaires |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D015438 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Health Behavior |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D006801 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Humans |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D057566 |
| mesh[7].is_major_topic | False |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Self Report |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D014728 |
| mesh[8].is_major_topic | True |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Veterans |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D000097103 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Digital Health |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D011795 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Surveys and Questionnaires |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D015438 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Health Behavior |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D006801 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Humans |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D057566 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Self Report |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D014728 |
| mesh[14].is_major_topic | True |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Veterans |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D000097103 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Digital Health |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D011795 |
| mesh[16].is_major_topic | False |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Surveys and Questionnaires |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D015438 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Health Behavior |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D006801 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Humans |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D057566 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Self Report |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D014728 |
| mesh[20].is_major_topic | True |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Veterans |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D000097103 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Digital Health |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D011795 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Surveys and Questionnaires |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D015438 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Health Behavior |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D006801 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Humans |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D057566 |
| mesh[25].is_major_topic | False |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Self Report |
| mesh[26].qualifier_ui | |
| mesh[26].descriptor_ui | D014728 |
| mesh[26].is_major_topic | True |
| mesh[26].qualifier_name | |
| mesh[26].descriptor_name | Veterans |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D000097103 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Digital Health |
| mesh[28].qualifier_ui | |
| mesh[28].descriptor_ui | D011795 |
| mesh[28].is_major_topic | False |
| mesh[28].qualifier_name | |
| mesh[28].descriptor_name | Surveys and Questionnaires |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D015438 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Health Behavior |
| type | article |
| title | Factors Associated with Veteran Self-Reported Use of Digital Health Devices |
| awards[0].id | https://openalex.org/G1481628595 |
| awards[0].funder_id | https://openalex.org/F4320332498 |
| awards[0].display_name | |
| awards[0].funder_award_id | PEC 15-470 |
| awards[0].funder_display_name | Quality Enhancement Research Initiative |
| biblio.issue | S1 |
| biblio.volume | 39 |
| biblio.last_page | 86 |
| biblio.first_page | 79 |
| topics[0].id | https://openalex.org/T11446 |
| topics[0].field.id | https://openalex.org/fields/36 |
| topics[0].field.display_name | Health Professions |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3600 |
| topics[0].subfield.display_name | General Health Professions |
| topics[0].display_name | Mobile Health and mHealth Applications |
| topics[1].id | https://openalex.org/T11977 |
| topics[1].field.id | https://openalex.org/fields/33 |
| topics[1].field.display_name | Social Sciences |
| topics[1].score | 0.9936000108718872 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3317 |
| topics[1].subfield.display_name | Demography |
| topics[1].display_name | Technology Use by Older Adults |
| topics[2].id | https://openalex.org/T11519 |
| topics[2].field.id | https://openalex.org/fields/32 |
| topics[2].field.display_name | Psychology |
| topics[2].score | 0.986299991607666 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3202 |
| topics[2].subfield.display_name | Applied Psychology |
| topics[2].display_name | Digital Mental Health Interventions |
| funders[0].id | https://openalex.org/F4320332498 |
| funders[0].ror | https://ror.org/03cdz5d08 |
| funders[0].display_name | Quality Enhancement Research Initiative |
| is_xpac | False |
| apc_list.value | 3790 |
| apc_list.currency | EUR |
| apc_list.value_usd | 4690 |
| apc_paid.value | 3790 |
| apc_paid.currency | EUR |
| apc_paid.value_usd | 4690 |
| concepts[0].id | https://openalex.org/C71924100 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8934617042541504 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[0].display_name | Medicine |
| concepts[1].id | https://openalex.org/C2780084366 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6157687902450562 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[1].display_name | Demographics |
| concepts[2].id | https://openalex.org/C2776933761 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5256670117378235 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q4117674 |
| concepts[2].display_name | Self-management |
| concepts[3].id | https://openalex.org/C2982889124 |
| concepts[3].level | 4 |
| concepts[3].score | 0.4258929491043091 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q107439039 |
| concepts[3].display_name | Disease management |
| concepts[4].id | https://openalex.org/C74909509 |
| concepts[4].level | 1 |
| concepts[4].score | 0.4233081042766571 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q10387 |
| concepts[4].display_name | Gerontology |
| concepts[5].id | https://openalex.org/C2779070388 |
| concepts[5].level | 3 |
| concepts[5].score | 0.41887542605400085 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q648434 |
| concepts[5].display_name | Pedometer |
| concepts[6].id | https://openalex.org/C160735492 |
| concepts[6].level | 2 |
| concepts[6].score | 0.41775619983673096 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q31207 |
| concepts[6].display_name | Health care |
| concepts[7].id | https://openalex.org/C512399662 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4114660322666168 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3505712 |
| concepts[7].display_name | Family medicine |
| concepts[8].id | https://openalex.org/C171265473 |
| concepts[8].level | 3 |
| concepts[8].score | 0.3949999511241913 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q5691117 |
| concepts[8].display_name | Health management system |
| concepts[9].id | https://openalex.org/C1862650 |
| concepts[9].level | 1 |
| concepts[9].score | 0.20373088121414185 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q186005 |
| concepts[9].display_name | Physical therapy |
| concepts[10].id | https://openalex.org/C149923435 |
| concepts[10].level | 1 |
| concepts[10].score | 0.18696808815002441 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[10].display_name | Demography |
| concepts[11].id | https://openalex.org/C204787440 |
| concepts[11].level | 2 |
| concepts[11].score | 0.18652057647705078 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q188504 |
| concepts[11].display_name | Alternative medicine |
| concepts[12].id | https://openalex.org/C3020255362 |
| concepts[12].level | 2 |
| concepts[12].score | 0.17743360996246338 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q747883 |
| concepts[12].display_name | Physical activity |
| concepts[13].id | https://openalex.org/C162324750 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[13].display_name | Economics |
| concepts[14].id | https://openalex.org/C142724271 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7208 |
| concepts[14].display_name | Pathology |
| concepts[15].id | https://openalex.org/C144024400 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[15].display_name | Sociology |
| concepts[16].id | https://openalex.org/C119857082 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[16].display_name | Machine learning |
| concepts[17].id | https://openalex.org/C41008148 |
| concepts[17].level | 0 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[17].display_name | Computer science |
| concepts[18].id | https://openalex.org/C50522688 |
| concepts[18].level | 1 |
| concepts[18].score | 0.0 |
| concepts[18].wikidata | https://www.wikidata.org/wiki/Q189833 |
| concepts[18].display_name | Economic growth |
| keywords[0].id | https://openalex.org/keywords/medicine |
| keywords[0].score | 0.8934617042541504 |
| keywords[0].display_name | Medicine |
| keywords[1].id | https://openalex.org/keywords/demographics |
| keywords[1].score | 0.6157687902450562 |
| keywords[1].display_name | Demographics |
| keywords[2].id | https://openalex.org/keywords/self-management |
| keywords[2].score | 0.5256670117378235 |
| keywords[2].display_name | Self-management |
| keywords[3].id | https://openalex.org/keywords/disease-management |
| keywords[3].score | 0.4258929491043091 |
| keywords[3].display_name | Disease management |
| keywords[4].id | https://openalex.org/keywords/gerontology |
| keywords[4].score | 0.4233081042766571 |
| keywords[4].display_name | Gerontology |
| keywords[5].id | https://openalex.org/keywords/pedometer |
| keywords[5].score | 0.41887542605400085 |
| keywords[5].display_name | Pedometer |
| keywords[6].id | https://openalex.org/keywords/health-care |
| keywords[6].score | 0.41775619983673096 |
| keywords[6].display_name | Health care |
| keywords[7].id | https://openalex.org/keywords/family-medicine |
| keywords[7].score | 0.4114660322666168 |
| keywords[7].display_name | Family medicine |
| keywords[8].id | https://openalex.org/keywords/health-management-system |
| keywords[8].score | 0.3949999511241913 |
| keywords[8].display_name | Health management system |
| keywords[9].id | https://openalex.org/keywords/physical-therapy |
| keywords[9].score | 0.20373088121414185 |
| keywords[9].display_name | Physical therapy |
| keywords[10].id | https://openalex.org/keywords/demography |
| keywords[10].score | 0.18696808815002441 |
| keywords[10].display_name | Demography |
| keywords[11].id | https://openalex.org/keywords/alternative-medicine |
| keywords[11].score | 0.18652057647705078 |
| keywords[11].display_name | Alternative medicine |
| keywords[12].id | https://openalex.org/keywords/physical-activity |
| keywords[12].score | 0.17743360996246338 |
| keywords[12].display_name | Physical activity |
| language | en |
| locations[0].id | doi:10.1007/s11606-023-08479-8 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S116608325 |
| locations[0].source.issn | 0884-8734, 1525-1497 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | 0884-8734 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Journal of General Internal Medicine |
| locations[0].source.host_organization | https://openalex.org/P4310319900 |
| locations[0].source.host_organization_name | Springer Science+Business Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| locations[0].source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of General Internal Medicine |
| locations[0].landing_page_url | https://doi.org/10.1007/s11606-023-08479-8 |
| locations[1].id | pmid:38252248 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Journal of general internal medicine |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/38252248 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10937849 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10937849/pdf/11606_2023_Article_8479.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | J Gen Intern Med |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10937849 |
| indexed_in | crossref, pubmed |
| authorships[0].author.id | https://openalex.org/A5030274675 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1352-217X |
| authorships[0].author.display_name | Stephanie A. Robinson |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[0].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[0].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[0].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[0].institutions[0].type | healthcare |
| authorships[0].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | VA New England Healthcare System |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Stephanie A. Robinson |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[1].author.id | https://openalex.org/A5052273482 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-6517-5122 |
| authorships[1].author.display_name | Stephanie L. Shimada |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[1].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[1].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[1].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[1].institutions[0].type | healthcare |
| authorships[1].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | VA New England Healthcare System |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Stephanie L. Shimada |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[2].author.id | https://openalex.org/A5082654677 |
| authorships[2].author.orcid | https://orcid.org/0000-0001-9464-9561 |
| authorships[2].author.display_name | Mark S. Zocchi |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[2].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[2].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[2].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | VA New England Healthcare System |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Mark S. Zocchi |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[3].author.id | https://openalex.org/A5088441280 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-1325-9073 |
| authorships[3].author.display_name | Bella Etingen |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[3].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[3].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[3].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | VA New England Healthcare System |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Bella Etingen |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[4].author.id | https://openalex.org/A5032280280 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-3301-8843 |
| authorships[4].author.display_name | Bridget Smith |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[4].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[4].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[4].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[4].institutions[0].type | healthcare |
| authorships[4].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | VA New England Healthcare System |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Bridget Smith |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[5].author.id | https://openalex.org/A5004652918 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-9322-0883 |
| authorships[5].author.display_name | Nicholas McMahon |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[5].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[5].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[5].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | VA New England Healthcare System |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Nicholas McMahon |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[6].author.id | https://openalex.org/A5028621765 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-4795-8377 |
| authorships[6].author.display_name | Sarah L. Cutrona |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[6].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[6].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[6].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[6].institutions[0].type | healthcare |
| authorships[6].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | VA New England Healthcare System |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Sarah L. Cutrona |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[7].author.id | https://openalex.org/A5108895535 |
| authorships[7].author.orcid | |
| authorships[7].author.display_name | Julie S. Harmon |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[7].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[7].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[7].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[7].institutions[0].type | healthcare |
| authorships[7].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | VA New England Healthcare System |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Julie S. Harmon |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[8].author.id | https://openalex.org/A5004613012 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-2240-3372 |
| authorships[8].author.display_name | Nancy R. Wilck |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[8].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[8].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[8].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[8].institutions[0].type | healthcare |
| authorships[8].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | VA New England Healthcare System |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Nancy R. Wilck |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[9].author.id | https://openalex.org/A5056415972 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-6888-0927 |
| authorships[9].author.display_name | Timothy P. Hogan |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I4210095851 |
| authorships[9].affiliations[0].raw_affiliation_string | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| authorships[9].institutions[0].id | https://openalex.org/I4210095851 |
| authorships[9].institutions[0].ror | https://ror.org/00s61s029 |
| authorships[9].institutions[0].type | healthcare |
| authorships[9].institutions[0].lineage | https://openalex.org/I1322918889, https://openalex.org/I2799886695, https://openalex.org/I4210095851 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | VA New England Healthcare System |
| authorships[9].author_position | last |
| authorships[9].raw_author_name | Timothy P. Hogan |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | eHealth Partnered Evaluation Initiative, Veterans Affairs Bedford Healthcare System, 200 Springs Rd., Bldg. 70 Room 263, Bedford, MA, 01730, USA |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdf |
| open_access.oa_status | hybrid |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Factors Associated with Veteran Self-Reported Use of Digital Health Devices |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11446 |
| primary_topic.field.id | https://openalex.org/fields/36 |
| primary_topic.field.display_name | Health Professions |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3600 |
| primary_topic.subfield.display_name | General Health Professions |
| primary_topic.display_name | Mobile Health and mHealth Applications |
| related_works | https://openalex.org/W1505384261, https://openalex.org/W3196759843, https://openalex.org/W3028765130, https://openalex.org/W1966928553, https://openalex.org/W190331105, https://openalex.org/W2888041916, https://openalex.org/W1486992382, https://openalex.org/W2381975148, https://openalex.org/W2038136090, https://openalex.org/W2066216812 |
| cited_by_count | 4 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1007/s11606-023-08479-8 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S116608325 |
| best_oa_location.source.issn | 0884-8734, 1525-1497 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | 0884-8734 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Journal of General Internal Medicine |
| best_oa_location.source.host_organization | https://openalex.org/P4310319900 |
| best_oa_location.source.host_organization_name | Springer Science+Business Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| best_oa_location.source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of General Internal Medicine |
| best_oa_location.landing_page_url | https://doi.org/10.1007/s11606-023-08479-8 |
| primary_location.id | doi:10.1007/s11606-023-08479-8 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S116608325 |
| primary_location.source.issn | 0884-8734, 1525-1497 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | 0884-8734 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Journal of General Internal Medicine |
| primary_location.source.host_organization | https://openalex.org/P4310319900 |
| primary_location.source.host_organization_name | Springer Science+Business Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319900, https://openalex.org/P4310319965 |
| primary_location.source.host_organization_lineage_names | Springer Science+Business Media, Springer Nature |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://link.springer.com/content/pdf/10.1007/s11606-023-08479-8.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of General Internal Medicine |
| primary_location.landing_page_url | https://doi.org/10.1007/s11606-023-08479-8 |
| publication_date | 2024-01-22 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2912654919, https://openalex.org/W2913459835, https://openalex.org/W2971635999, https://openalex.org/W3087846344, https://openalex.org/W2942961486, https://openalex.org/W7075995164, https://openalex.org/W2762675159, https://openalex.org/W2992753856, https://openalex.org/W3089532202, https://openalex.org/W2909824598, https://openalex.org/W1499796422, https://openalex.org/W3158132123, https://openalex.org/W4313377898, https://openalex.org/W4287354896, https://openalex.org/W3043921266, https://openalex.org/W2159914115, https://openalex.org/W2758276259, https://openalex.org/W2975703213, https://openalex.org/W3134076070, https://openalex.org/W2969802817, https://openalex.org/W3128985147, https://openalex.org/W3188341861, https://openalex.org/W3133275659, https://openalex.org/W4220879008, https://openalex.org/W2901610527, https://openalex.org/W4220917851, https://openalex.org/W2965224729, https://openalex.org/W2102684456, https://openalex.org/W2463803708, https://openalex.org/W2037861128, https://openalex.org/W2337024800, https://openalex.org/W2910516512 |
| referenced_works_count | 32 |
| abstract_inverted_index.+ | 144 |
| abstract_inverted_index.. | 179 |
| abstract_inverted_index.= | 162, 178, 199, 212 |
| abstract_inverted_index.P | 161, 177, 198, 211 |
| abstract_inverted_index.a | 65, 138, 151, 169, 188, 202 |
| abstract_inverted_index.65 | 143 |
| abstract_inverted_index.CI | 158, 195, 208 |
| abstract_inverted_index.at | 130 |
| abstract_inverted_index.be | 284 |
| abstract_inverted_index.by | 140, 227 |
| abstract_inverted_index.in | 31, 287 |
| abstract_inverted_index.of | 26, 62, 108, 114, 129, 221, 260, 265 |
| abstract_inverted_index.on | 257 |
| abstract_inverted_index.or | 18, 24, 126 |
| abstract_inverted_index.to | 8, 41, 105, 149, 167, 186, 245, 280, 303 |
| abstract_inverted_index.58% | 135 |
| abstract_inverted_index.87% | 123 |
| abstract_inverted_index.95% | 157, 174, 194, 207 |
| abstract_inverted_index.DHD | 78, 139, 309 |
| abstract_inverted_index.The | 215 |
| abstract_inverted_index.VHA | 93, 263 |
| abstract_inverted_index.and | 11, 33, 59, 74, 95, 112, 117, 134, 201, 229, 247, 250, 276, 300 |
| abstract_inverted_index.are | 96, 224 |
| abstract_inverted_index.but | 164 |
| abstract_inverted_index.can | 20, 295 |
| abstract_inverted_index.for | 47 |
| abstract_inverted_index.may | 254, 283 |
| abstract_inverted_index.of, | 73 |
| abstract_inverted_index.one | 132 |
| abstract_inverted_index.the | 22, 71, 81, 219, 258, 261, 277 |
| abstract_inverted_index.use | 61, 79, 113, 150, 168, 187, 281 |
| abstract_inverted_index.was | 267 |
| abstract_inverted_index.who | 91 |
| abstract_inverted_index.(AOR | 155, 172, 192, 205 |
| abstract_inverted_index.DHD, | 133 |
| abstract_inverted_index.DHDs | 29, 63, 222, 275 |
| abstract_inverted_index.Main | 101 |
| abstract_inverted_index.This | 68 |
| abstract_inverted_index.VHA. | 141 |
| abstract_inverted_index.age, | 243 |
| abstract_inverted_index.care | 94 |
| abstract_inverted_index.data | 14, 45 |
| abstract_inverted_index.from | 35 |
| abstract_inverted_index.less | 147 |
| abstract_inverted_index.more | 42, 165, 184 |
| abstract_inverted_index.next | 301 |
| abstract_inverted_index.past | 127 |
| abstract_inverted_index.that | 223, 237, 251 |
| abstract_inverted_index.them | 282 |
| abstract_inverted_index.this | 293 |
| abstract_inverted_index.use. | 310 |
| abstract_inverted_index.were | 124, 136, 146, 183 |
| abstract_inverted_index.with | 232, 274 |
| abstract_inverted_index..002) | 200 |
| abstract_inverted_index.0.57, | 156 |
| abstract_inverted_index.016). | 180 |
| abstract_inverted_index.1.69, | 173 |
| abstract_inverted_index.1.83, | 206 |
| abstract_inverted_index.2.60, | 193 |
| abstract_inverted_index.Among | 121 |
| abstract_inverted_index.DHDs. | 119 |
| abstract_inverted_index.Taken | 291 |
| abstract_inverted_index.about | 15, 308 |
| abstract_inverted_index.among | 269 |
| abstract_inverted_index.based | 256 |
| abstract_inverted_index.being | 225 |
| abstract_inverted_index.least | 131 |
| abstract_inverted_index.range | 30 |
| abstract_inverted_index.share | 13 |
| abstract_inverted_index.steps | 302 |
| abstract_inverted_index.their | 233 |
| abstract_inverted_index.these | 53, 252 |
| abstract_inverted_index.types | 220 |
| abstract_inverted_index.users | 128 |
| abstract_inverted_index.using | 109 |
| abstract_inverted_index.with, | 77 |
| abstract_inverted_index.years | 145 |
| abstract_inverted_index.(VHA). | 85 |
| abstract_inverted_index.(e.g., | 39, 50 |
| abstract_inverted_index..002), | 163 |
| abstract_inverted_index..037). | 213 |
| abstract_inverted_index.0.81], | 160 |
| abstract_inverted_index.2.59], | 176 |
| abstract_inverted_index.3.23], | 210 |
| abstract_inverted_index.4.75], | 197 |
| abstract_inverted_index.Design | 86 |
| abstract_inverted_index.Health | 83 |
| abstract_inverted_index.[0.39, | 159 |
| abstract_inverted_index.[1.04, | 209 |
| abstract_inverted_index.[1.10, | 175 |
| abstract_inverted_index.[1.42, | 196 |
| abstract_inverted_index.access | 104, 244 |
| abstract_inverted_index.active | 97 |
| abstract_inverted_index.device | 154, 171, 191, 204, 270, 289 |
| abstract_inverted_index.differ | 255 |
| abstract_inverted_index.future | 297 |
| abstract_inverted_index.health | 3, 55, 110, 248 |
| abstract_inverted_index.inform | 296 |
| abstract_inverted_index.likely | 148, 166, 185 |
| abstract_inverted_index.making | 307 |
| abstract_inverted_index.needed | 279 |
| abstract_inverted_index.owners | 182 |
| abstract_inverted_index.secure | 98 |
| abstract_inverted_index.users. | 100, 271 |
| abstract_inverted_index.within | 80 |
| abstract_inverted_index.(DHDs), | 5 |
| abstract_inverted_index.Despite | 52 |
| abstract_inverted_index.Digital | 2 |
| abstract_inverted_index.Results | 120, 235 |
| abstract_inverted_index.adopted | 226 |
| abstract_inverted_index.chronic | 27 |
| abstract_inverted_index.current | 125, 216 |
| abstract_inverted_index.device. | 262 |
| abstract_inverted_index.devices | 4, 266 |
| abstract_inverted_index.disease | 48 |
| abstract_inverted_index.factors | 75, 230, 239, 286 |
| abstract_inverted_index.gather, | 9 |
| abstract_inverted_index.receive | 92 |
| abstract_inverted_index.remains | 64 |
| abstract_inverted_index.status, | 249 |
| abstract_inverted_index.suggest | 236 |
| abstract_inverted_index.support | 21, 304 |
| abstract_inverted_index.survey. | 88 |
| abstract_inverted_index.various | 238 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Measures | 102 |
| abstract_inverted_index.National | 87 |
| abstract_inverted_index.Veterans | 82, 90, 228, 273 |
| abstract_inverted_index.adoption | 58 |
| abstract_inverted_index.analysis | 69, 217 |
| abstract_inverted_index.decision | 306 |
| abstract_inverted_index.designed | 7 |
| abstract_inverted_index.efforts, | 299 |
| abstract_inverted_index.examined | 70 |
| abstract_inverted_index.frequent | 268 |
| abstract_inverted_index.monitor, | 10 |
| abstract_inverted_index.positive | 54 |
| abstract_inverted_index.provided | 137 |
| abstract_inverted_index.tracking | 36 |
| abstract_inverted_index.training | 278 |
| abstract_inverted_index.utility, | 34 |
| abstract_inverted_index.Objective | 67 |
| abstract_inverted_index.Providing | 272 |
| abstract_inverted_index.adoption, | 241 |
| abstract_inverted_index.adoption. | 234, 290 |
| abstract_inverted_index.behaviors | 17, 38 |
| abstract_inverted_index.benefits, | 56 |
| abstract_inverted_index.biometric | 44 |
| abstract_inverted_index.describes | 218 |
| abstract_inverted_index.important | 285 |
| abstract_inverted_index.including | 242 |
| abstract_inverted_index.influence | 240 |
| abstract_inverted_index.knowledge | 294 |
| abstract_inverted_index.lifestyle | 37, 115, 152, 189 |
| abstract_inverted_index.messaging | 99 |
| abstract_inverted_index.provision | 264 |
| abstract_inverted_index.sometimes | 12 |
| abstract_inverted_index.sustained | 60 |
| abstract_inverted_index.symptoms, | 19 |
| abstract_inverted_index.together, | 292 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.Smartphone | 181 |
| abstract_inverted_index.associated | 76, 231 |
| abstract_inverted_index.challenge. | 66 |
| abstract_inverted_index.collection | 46 |
| abstract_inverted_index.complexity | 32 |
| abstract_inverted_index.management | 25 |
| abstract_inverted_index.monitoring | 116, 153, 190 |
| abstract_inverted_index.pedometer) | 40 |
| abstract_inverted_index.prevalence | 72 |
| abstract_inverted_index.prevention | 23 |
| abstract_inverted_index.supporting | 57 |
| abstract_inverted_index.Conclusions | 214 |
| abstract_inverted_index.Respondents | 142 |
| abstract_inverted_index.conditions. | 28 |
| abstract_inverted_index.perceptions | 107 |
| abstract_inverted_index.technology, | 106, 246 |
| abstract_inverted_index.Participants | 89 |
| abstract_inverted_index.facilitating | 288 |
| abstract_inverted_index.patient-team | 305 |
| abstract_inverted_index.respondents, | 122 |
| abstract_inverted_index.technologies | 6 |
| abstract_inverted_index.Demographics, | 103 |
| abstract_inverted_index.glucometers). | 51 |
| abstract_inverted_index.relationships | 253 |
| abstract_inverted_index.sophisticated | 43 |
| abstract_inverted_index.technologies, | 111 |
| abstract_inverted_index.Administration | 84 |
| abstract_inverted_index.health-related | 16 |
| abstract_inverted_index.implementation | 298 |
| abstract_inverted_index.functionalities | 259 |
| abstract_inverted_index.self-management | 49, 118, 170, 203 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5030274675 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I4210095851 |
| citation_normalized_percentile.value | 0.93262047 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |