The use of mobile health applications for the prevention of non-communicable diseases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-03-03

AUTHORS

Martina Zangger, Cornelia Wälchli, Ulrich Stefenelli, Petra Stute

ABSTRACT

Analyzation of the use of Mobile Health (mHealth) applications in different user groups in order to evaluate the potential that mHealth provides for the prevention of non-communicable diseases (NCD). Cross-sectional online survey with 1119 participants in Switzerland. Forty percent used mHealth applications. Most participants used mHealth to promote their health (70%), influence a specific aspect of their health (59%) and monitor their fitness level (61%). mHealth was used more often by people suffering from NCD (p<0.05) and participants older than fifty years did not use mHealth less than younger participants (p>0.05). Trust in the collected data was high (93%), however, participants rarely relied on scientific recommendation for choosing mHealth applications (14%) and only the minority discussed the data with a physician (19%). The majority saw advantages in using mHealth for the prevention of NCD (62%) and providing patients with the possibility to control their lifestyle changes (59%). mHealth is used across all age groups and significantly more often by people suffering from NCD. However, the collected data is not evaluated systematically. We suggest the inclusion of mHealth into the health care plan to increase patient empowerment to beneficially affect the development of NCD. More... »

PAGES

585-593

References to SciGraph publications

  • 2019-11-01. mHealth Applications: Potentials, Limitations, Current Quality and Future Directions in DIGITAL PHENOTYPING AND MOBILE SENSING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12553-021-00536-8

    DOI

    http://dx.doi.org/10.1007/s12553-021-00536-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1135909029


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of General Internal Medicine, Hospital of Thun, Krankenhausstrasse 12, 3600, Thun, Switzerland", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of General Internal Medicine, Hospital of Thun, Krankenhausstrasse 12, 3600, Thun, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zangger", 
            "givenName": "Martina", 
            "id": "sg:person.012176541324.45", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012176541324.45"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Obstetrics and Gynecology, University Women\u2019s Hospital, Bern, Switzerland", 
              "id": "http://www.grid.ac/institutes/grid.411656.1", 
              "name": [
                "Department of Obstetrics and Gynecology, University Women\u2019s Hospital, Bern, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "W\u00e4lchli", 
            "givenName": "Cornelia", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Untere Bockgasse 5, W\u00fcrzburg, Germany", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Untere Bockgasse 5, W\u00fcrzburg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stefenelli", 
            "givenName": "Ulrich", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Obstetrics and Gynecology, University Women\u2019s Hospital, Bern, Switzerland", 
              "id": "http://www.grid.ac/institutes/grid.411656.1", 
              "name": [
                "Department of Obstetrics and Gynecology, University Women\u2019s Hospital, Bern, Switzerland"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stute", 
            "givenName": "Petra", 
            "id": "sg:person.01266270133.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266270133.70"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/978-3-030-31620-4_15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1122229917", 
              "https://doi.org/10.1007/978-3-030-31620-4_15"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-03-03", 
        "datePublishedReg": "2021-03-03", 
        "description": "Analyzation of the use of Mobile Health (mHealth) applications in different user groups in order to evaluate the potential that mHealth provides for the prevention of non-communicable diseases (NCD). Cross-sectional online survey with 1119 participants in Switzerland. Forty percent used mHealth applications. Most participants used mHealth to promote their health (70%), influence a specific aspect of their health (59%) and monitor their fitness level (61%). mHealth was used more often by people suffering from NCD (p<0.05) and participants older than fifty years did not use mHealth less than younger participants (p>0.05). Trust in the collected data was high (93%), however, participants rarely relied on scientific recommendation for choosing mHealth applications (14%) and only the minority discussed the data with a physician (19%). The majority saw advantages in using mHealth for the prevention of NCD (62%) and providing patients with the possibility to control their lifestyle changes (59%). mHealth is used across all age groups and significantly more often by people suffering from NCD. However, the collected data is not evaluated systematically. We suggest the inclusion of mHealth into the health care plan to increase patient empowerment to beneficially affect the development of NCD.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s12553-021-00536-8", 
        "inLanguage": "en", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1044824", 
            "issn": [
              "2190-7188", 
              "2190-7196"
            ], 
            "name": "Health and Technology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "11"
          }
        ], 
        "keywords": [
          "non-communicable diseases", 
          "development of NCDs", 
          "prevention of NCDs", 
          "mobile health applications", 
          "cross-sectional online survey", 
          "health care plans", 
          "lifestyle changes", 
          "care plans", 
          "mHealth applications", 
          "age groups", 
          "patient empowerment", 
          "fitness level", 
          "health applications", 
          "Most participants", 
          "prevention", 
          "younger participants", 
          "mHealth", 
          "disease", 
          "participants", 
          "health", 
          "online survey", 
          "patients", 
          "group", 
          "physicians", 
          "scientific recommendations", 
          "specific aspects", 
          "percent", 
          "people", 
          "majority", 
          "years", 
          "data", 
          "use", 
          "levels", 
          "minority", 
          "recommendations", 
          "survey", 
          "changes", 
          "inclusion", 
          "development", 
          "plan", 
          "Switzerland", 
          "potential", 
          "user groups", 
          "aspects", 
          "possibility", 
          "empowerment", 
          "advantages", 
          "applications", 
          "order", 
          "analyzation", 
          "different user groups"
        ], 
        "name": "The use of mobile health applications for the prevention of non-communicable diseases", 
        "pagination": "585-593", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1135909029"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12553-021-00536-8"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12553-021-00536-8", 
          "https://app.dimensions.ai/details/publication/pub.1135909029"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-06-01T22:24", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_896.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s12553-021-00536-8"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12553-021-00536-8'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12553-021-00536-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12553-021-00536-8'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12553-021-00536-8'


     

    This table displays all metadata directly associated to this object as RDF triples.

    137 TRIPLES      22 PREDICATES      77 URIs      68 LITERALS      6 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12553-021-00536-8 schema:about anzsrc-for:11
    2 anzsrc-for:1117
    3 schema:author N69823f9e289240dbb29d82d0f2fabbf1
    4 schema:citation sg:pub.10.1007/978-3-030-31620-4_15
    5 schema:datePublished 2021-03-03
    6 schema:datePublishedReg 2021-03-03
    7 schema:description Analyzation of the use of Mobile Health (mHealth) applications in different user groups in order to evaluate the potential that mHealth provides for the prevention of non-communicable diseases (NCD). Cross-sectional online survey with 1119 participants in Switzerland. Forty percent used mHealth applications. Most participants used mHealth to promote their health (70%), influence a specific aspect of their health (59%) and monitor their fitness level (61%). mHealth was used more often by people suffering from NCD (p<0.05) and participants older than fifty years did not use mHealth less than younger participants (p>0.05). Trust in the collected data was high (93%), however, participants rarely relied on scientific recommendation for choosing mHealth applications (14%) and only the minority discussed the data with a physician (19%). The majority saw advantages in using mHealth for the prevention of NCD (62%) and providing patients with the possibility to control their lifestyle changes (59%). mHealth is used across all age groups and significantly more often by people suffering from NCD. However, the collected data is not evaluated systematically. We suggest the inclusion of mHealth into the health care plan to increase patient empowerment to beneficially affect the development of NCD.
    8 schema:genre article
    9 schema:inLanguage en
    10 schema:isAccessibleForFree false
    11 schema:isPartOf N51cca901da1943f0b3c0b90c7d156e44
    12 N593256bd4bbf47258ef641c9fecfa36e
    13 sg:journal.1044824
    14 schema:keywords Most participants
    15 Switzerland
    16 advantages
    17 age groups
    18 analyzation
    19 applications
    20 aspects
    21 care plans
    22 changes
    23 cross-sectional online survey
    24 data
    25 development
    26 development of NCDs
    27 different user groups
    28 disease
    29 empowerment
    30 fitness level
    31 group
    32 health
    33 health applications
    34 health care plans
    35 inclusion
    36 levels
    37 lifestyle changes
    38 mHealth
    39 mHealth applications
    40 majority
    41 minority
    42 mobile health applications
    43 non-communicable diseases
    44 online survey
    45 order
    46 participants
    47 patient empowerment
    48 patients
    49 people
    50 percent
    51 physicians
    52 plan
    53 possibility
    54 potential
    55 prevention
    56 prevention of NCDs
    57 recommendations
    58 scientific recommendations
    59 specific aspects
    60 survey
    61 use
    62 user groups
    63 years
    64 younger participants
    65 schema:name The use of mobile health applications for the prevention of non-communicable diseases
    66 schema:pagination 585-593
    67 schema:productId N398ab9dcc15b449dbc22bf52e627942a
    68 N82bb6a38d1994f789a2367bbbeb1b992
    69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1135909029
    70 https://doi.org/10.1007/s12553-021-00536-8
    71 schema:sdDatePublished 2022-06-01T22:24
    72 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    73 schema:sdPublisher N877f8de28e294932ab40bfd7e3a5add9
    74 schema:url https://doi.org/10.1007/s12553-021-00536-8
    75 sgo:license sg:explorer/license/
    76 sgo:sdDataset articles
    77 rdf:type schema:ScholarlyArticle
    78 N398ab9dcc15b449dbc22bf52e627942a schema:name dimensions_id
    79 schema:value pub.1135909029
    80 rdf:type schema:PropertyValue
    81 N460d40c041f848538c0d1b7814132ed1 rdf:first sg:person.01266270133.70
    82 rdf:rest rdf:nil
    83 N4b25a9d808304df2a04e5baa08ad579e rdf:first N679fb0b901ca44e89a582c278c063b90
    84 rdf:rest Nc0a44796f1f74779b68fd25e85561b65
    85 N500d2bcf60ad4866bd979cbc6aa019ca schema:affiliation grid-institutes:None
    86 schema:familyName Stefenelli
    87 schema:givenName Ulrich
    88 rdf:type schema:Person
    89 N51cca901da1943f0b3c0b90c7d156e44 schema:issueNumber 3
    90 rdf:type schema:PublicationIssue
    91 N593256bd4bbf47258ef641c9fecfa36e schema:volumeNumber 11
    92 rdf:type schema:PublicationVolume
    93 N679fb0b901ca44e89a582c278c063b90 schema:affiliation grid-institutes:grid.411656.1
    94 schema:familyName Wälchli
    95 schema:givenName Cornelia
    96 rdf:type schema:Person
    97 N69823f9e289240dbb29d82d0f2fabbf1 rdf:first sg:person.012176541324.45
    98 rdf:rest N4b25a9d808304df2a04e5baa08ad579e
    99 N82bb6a38d1994f789a2367bbbeb1b992 schema:name doi
    100 schema:value 10.1007/s12553-021-00536-8
    101 rdf:type schema:PropertyValue
    102 N877f8de28e294932ab40bfd7e3a5add9 schema:name Springer Nature - SN SciGraph project
    103 rdf:type schema:Organization
    104 Nc0a44796f1f74779b68fd25e85561b65 rdf:first N500d2bcf60ad4866bd979cbc6aa019ca
    105 rdf:rest N460d40c041f848538c0d1b7814132ed1
    106 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    107 schema:name Medical and Health Sciences
    108 rdf:type schema:DefinedTerm
    109 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    110 schema:name Public Health and Health Services
    111 rdf:type schema:DefinedTerm
    112 sg:journal.1044824 schema:issn 2190-7188
    113 2190-7196
    114 schema:name Health and Technology
    115 schema:publisher Springer Nature
    116 rdf:type schema:Periodical
    117 sg:person.012176541324.45 schema:affiliation grid-institutes:None
    118 schema:familyName Zangger
    119 schema:givenName Martina
    120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012176541324.45
    121 rdf:type schema:Person
    122 sg:person.01266270133.70 schema:affiliation grid-institutes:grid.411656.1
    123 schema:familyName Stute
    124 schema:givenName Petra
    125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01266270133.70
    126 rdf:type schema:Person
    127 sg:pub.10.1007/978-3-030-31620-4_15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122229917
    128 https://doi.org/10.1007/978-3-030-31620-4_15
    129 rdf:type schema:CreativeWork
    130 grid-institutes:None schema:alternateName Department of General Internal Medicine, Hospital of Thun, Krankenhausstrasse 12, 3600, Thun, Switzerland
    131 Untere Bockgasse 5, Würzburg, Germany
    132 schema:name Department of General Internal Medicine, Hospital of Thun, Krankenhausstrasse 12, 3600, Thun, Switzerland
    133 Untere Bockgasse 5, Würzburg, Germany
    134 rdf:type schema:Organization
    135 grid-institutes:grid.411656.1 schema:alternateName Department of Obstetrics and Gynecology, University Women’s Hospital, Bern, Switzerland
    136 schema:name Department of Obstetrics and Gynecology, University Women’s Hospital, Bern, Switzerland
    137 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...