Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims Data Article Swipe
Theresa Hüer
,
Anke Walendzik
,
Lara Kleinschmidt
,
Klemens Höfer
,
Beatrice Nauendorf
,
Juliane Malsch
,
Matthias Brittner
,
Paul Brandenburg
,
André Aeustergerling
,
Udo Schneider
,
Anja Wadeck
,
Sebastian Liersch
,
Stephanie Sehlen
,
Katharina Schwarze
,
Jürgen Wasem
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/60170
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2196/60170
Background Supplementing outpatient medical care with the use of video consultations could, among other benefits, improve access, especially in structurally disadvantaged areas. Objective This claims data analysis, carried out as part of the German research project “Preference-based use of video consultation in urban and rural regions,” aimed to analyze the use of video consultations and the characteristics of its user groups. Methods Claims data from 3 Statutory Health Insurance Funds (SHIFs) and 4 Associations of Statutory Health Insurance Physicians (ASHIPs) from the period April 2017 to the end of 2020 were used. Data from a sample of about 6.1 million insured and 33,100 physicians and psychotherapists were analyzed. In addition to data on the use of video consultations, patient data on sociodemographic characteristics, diagnoses, and place of residence were included. To analyze the physicians’ perspectives, specialty groups, demographic characteristics, and the type of practice location were also included. In consideration of the principles of data economy and the fact that data analysis represents merely a preliminary phase within the broader project, the SHIFs and ASHIPs transmitted aggregated data (cross-tabulations per subgroup analysis) to the evaluator. For this reason, the analyses were constrained to a comparison of video consultation users versus nonusers, differentiated according to the aforementioned subgroups. Furthermore, the association between place of residence or type of region of the practice location and the use of video consultation was examined. A significance level of P<.05 was set for chi-square tests. Results From 2017 to 2019, almost no video consultations were used in outpatient care in the German health care system. Although this changed considerably in relative terms with the start of the COVID-19 pandemic (but still at a very low absolute level), there was also a clear decline in the use of video consultations as the number of infections flattened out. Physicians working in psychotherapy and psychological psychotherapists used video consultations with around 16% (44,808/282,530) of their treatment cases in the second quarter of 2020, followed by psychotherapists using video consultations for children (10,828/113,293, 10%). Although the absolute number of treatment cases with video consultations among general practitioners was very high compared with other specialist groups, their share of video consultations in all treatment cases was very low at 0.3% (29,600/9,837,118). Younger age groups and those located in urban areas used video consultations more frequently; this applies to both patients (age groups: χ27=9903.2, P<.001; region types: χ22=3746.2, P<.001) and service providers (age groups: χ23=11,338.2, P<.001; region types: χ22=8474.1, P<.001). Conclusions The current use of video consultations is below its potential in terms of scope and user groups. The widespread and lasting use of video consultations will only succeed if the potential user groups accept this form of service provision and recognize its advantages. Further analyses (both qualitative, such as focus group discussions, and quantitative, such as preference surveys) should therefore investigate the preferences of user groups for the use of video consultations. International Registered Report Identifier (IRRID) RR2-10.2196/50932
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2196/60170
- OA Status
- gold
- Cited By
- 1
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4406853892
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4406853892Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/60170Digital Object Identifier
- Title
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Use of Video Consultation Between 2017 and 2020 in Outpatient Medical Care in Germany and Characteristics of Their User Groups: Analysis of Claims DataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-27Full publication date if available
- Authors
-
Theresa Hüer, Anke Walendzik, Lara Kleinschmidt, Klemens Höfer, Beatrice Nauendorf, Juliane Malsch, Matthias Brittner, Paul Brandenburg, André Aeustergerling, Udo Schneider, Anja Wadeck, Sebastian Liersch, Stephanie Sehlen, Katharina Schwarze, Jürgen WasemList of authors in order
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https://doi.org/10.2196/60170Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.2196/60170Direct OA link when available
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Preprint, Internet privacy, Computer science, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.clear | 286 |
| abstract_inverted_index.focus | 459 |
| abstract_inverted_index.group | 460 |
| abstract_inverted_index.level | 232 |
| abstract_inverted_index.other | 13, 353 |
| abstract_inverted_index.phase | 166 |
| abstract_inverted_index.place | 125, 211 |
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| abstract_inverted_index.scope | 423 |
| abstract_inverted_index.share | 357 |
| abstract_inverted_index.start | 269 |
| abstract_inverted_index.still | 275 |
| abstract_inverted_index.terms | 266, 421 |
| abstract_inverted_index.their | 316, 356 |
| abstract_inverted_index.there | 282 |
| abstract_inverted_index.those | 375 |
| abstract_inverted_index.urban | 42, 378 |
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| abstract_inverted_index.users | 198 |
| abstract_inverted_index.using | 328 |
| abstract_inverted_index.video | 9, 39, 52, 116, 196, 226, 247, 292, 309, 329, 343, 359, 381, 414, 433, 480 |
| abstract_inverted_index.33,100 | 102 |
| abstract_inverted_index.ASHIPs | 174 |
| abstract_inverted_index.Claims | 62 |
| abstract_inverted_index.German | 33, 256 |
| abstract_inverted_index.Health | 67, 76 |
| abstract_inverted_index.Report | 484 |
| abstract_inverted_index.accept | 443 |
| abstract_inverted_index.almost | 245 |
| abstract_inverted_index.areas. | 21 |
| abstract_inverted_index.around | 312 |
| abstract_inverted_index.claims | 24 |
| abstract_inverted_index.could, | 11 |
| abstract_inverted_index.groups | 373, 442, 475 |
| abstract_inverted_index.health | 257 |
| abstract_inverted_index.merely | 163 |
| abstract_inverted_index.number | 296, 338 |
| abstract_inverted_index.period | 82 |
| abstract_inverted_index.region | 217, 394, 405 |
| abstract_inverted_index.sample | 95 |
| abstract_inverted_index.second | 321 |
| abstract_inverted_index.should | 468 |
| abstract_inverted_index.tests. | 239 |
| abstract_inverted_index.types: | 395, 406 |
| abstract_inverted_index.versus | 199 |
| abstract_inverted_index.within | 167 |
| abstract_inverted_index.(IRRID) | 486 |
| abstract_inverted_index.(SHIFs) | 70 |
| abstract_inverted_index.Further | 453 |
| abstract_inverted_index.Methods | 61 |
| abstract_inverted_index.Results | 240 |
| abstract_inverted_index.Younger | 371 |
| abstract_inverted_index.access, | 16 |
| abstract_inverted_index.analyze | 48, 131 |
| abstract_inverted_index.applies | 386 |
| abstract_inverted_index.between | 210 |
| abstract_inverted_index.broader | 169 |
| abstract_inverted_index.carried | 27 |
| abstract_inverted_index.changed | 262 |
| abstract_inverted_index.current | 411 |
| abstract_inverted_index.decline | 287 |
| abstract_inverted_index.economy | 155 |
| abstract_inverted_index.general | 346 |
| abstract_inverted_index.groups, | 136, 355 |
| abstract_inverted_index.groups. | 60, 426 |
| abstract_inverted_index.groups: | 391, 402 |
| abstract_inverted_index.improve | 15 |
| abstract_inverted_index.insured | 100 |
| abstract_inverted_index.lasting | 430 |
| abstract_inverted_index.level), | 281 |
| abstract_inverted_index.located | 376 |
| abstract_inverted_index.medical | 3 |
| abstract_inverted_index.million | 99 |
| abstract_inverted_index.patient | 118 |
| abstract_inverted_index.project | 35 |
| abstract_inverted_index.quarter | 322 |
| abstract_inverted_index.reason, | 187 |
| abstract_inverted_index.service | 399, 447 |
| abstract_inverted_index.succeed | 437 |
| abstract_inverted_index.system. | 259 |
| abstract_inverted_index.working | 302 |
| abstract_inverted_index.(ASHIPs) | 79 |
| abstract_inverted_index.Although | 260, 335 |
| abstract_inverted_index.COVID-19 | 272 |
| abstract_inverted_index.P<.05 | 234 |
| abstract_inverted_index.absolute | 280, 337 |
| abstract_inverted_index.addition | 109 |
| abstract_inverted_index.analyses | 189, 454 |
| abstract_inverted_index.analysis | 161 |
| abstract_inverted_index.children | 332 |
| abstract_inverted_index.compared | 351 |
| abstract_inverted_index.followed | 325 |
| abstract_inverted_index.location | 144, 221 |
| abstract_inverted_index.pandemic | 273 |
| abstract_inverted_index.patients | 389 |
| abstract_inverted_index.practice | 143, 220 |
| abstract_inverted_index.project, | 170 |
| abstract_inverted_index.relative | 265 |
| abstract_inverted_index.research | 34 |
| abstract_inverted_index.subgroup | 180 |
| abstract_inverted_index.surveys) | 467 |
| abstract_inverted_index.Insurance | 68, 77 |
| abstract_inverted_index.Objective | 22 |
| abstract_inverted_index.Statutory | 66, 75 |
| abstract_inverted_index.according | 202 |
| abstract_inverted_index.analysis) | 181 |
| abstract_inverted_index.analysis, | 26 |
| abstract_inverted_index.analyzed. | 107 |
| abstract_inverted_index.benefits, | 14 |
| abstract_inverted_index.examined. | 229 |
| abstract_inverted_index.flattened | 299 |
| abstract_inverted_index.included. | 129, 147 |
| abstract_inverted_index.nonusers, | 200 |
| abstract_inverted_index.potential | 419, 440 |
| abstract_inverted_index.providers | 400 |
| abstract_inverted_index.provision | 448 |
| abstract_inverted_index.recognize | 450 |
| abstract_inverted_index.residence | 127, 213 |
| abstract_inverted_index.specialty | 135 |
| abstract_inverted_index.therefore | 469 |
| abstract_inverted_index.treatment | 317, 340, 363 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Identifier | 485 |
| abstract_inverted_index.P<.001) | 397 |
| abstract_inverted_index.P<.001; | 393, 404 |
| abstract_inverted_index.Physicians | 78, 301 |
| abstract_inverted_index.Registered | 483 |
| abstract_inverted_index.aggregated | 176 |
| abstract_inverted_index.chi-square | 238 |
| abstract_inverted_index.comparison | 194 |
| abstract_inverted_index.diagnoses, | 123 |
| abstract_inverted_index.especially | 17 |
| abstract_inverted_index.evaluator. | 184 |
| abstract_inverted_index.infections | 298 |
| abstract_inverted_index.outpatient | 2, 252 |
| abstract_inverted_index.physicians | 103 |
| abstract_inverted_index.preference | 466 |
| abstract_inverted_index.principles | 152 |
| abstract_inverted_index.represents | 162 |
| abstract_inverted_index.specialist | 354 |
| abstract_inverted_index.subgroups. | 206 |
| abstract_inverted_index.widespread | 428 |
| abstract_inverted_index.Conclusions | 409 |
| abstract_inverted_index.P<.001). | 408 |
| abstract_inverted_index.advantages. | 452 |
| abstract_inverted_index.association | 209 |
| abstract_inverted_index.constrained | 191 |
| abstract_inverted_index.demographic | 137 |
| abstract_inverted_index.frequently; | 384 |
| abstract_inverted_index.investigate | 470 |
| abstract_inverted_index.preferences | 472 |
| abstract_inverted_index.preliminary | 165 |
| abstract_inverted_index.regions,” | 45 |
| abstract_inverted_index.transmitted | 175 |
| abstract_inverted_index.Associations | 73 |
| abstract_inverted_index.Furthermore, | 207 |
| abstract_inverted_index.considerably | 263 |
| abstract_inverted_index.consultation | 40, 197, 227 |
| abstract_inverted_index.discussions, | 461 |
| abstract_inverted_index.qualitative, | 456 |
| abstract_inverted_index.significance | 231 |
| abstract_inverted_index.structurally | 19 |
| abstract_inverted_index.χ22=3746.2, | 396 |
| abstract_inverted_index.χ22=8474.1, | 407 |
| abstract_inverted_index.χ27=9903.2, | 392 |
| abstract_inverted_index.International | 482 |
| abstract_inverted_index.Supplementing | 1 |
| abstract_inverted_index.consideration | 149 |
| abstract_inverted_index.consultations | 10, 53, 248, 293, 310, 330, 344, 360, 382, 415, 434 |
| abstract_inverted_index.disadvantaged | 20 |
| abstract_inverted_index.perspectives, | 134 |
| abstract_inverted_index.physicians’ | 133 |
| abstract_inverted_index.practitioners | 347 |
| abstract_inverted_index.psychological | 306 |
| abstract_inverted_index.psychotherapy | 304 |
| abstract_inverted_index.quantitative, | 463 |
| abstract_inverted_index.aforementioned | 205 |
| abstract_inverted_index.consultations, | 117 |
| abstract_inverted_index.consultations. | 481 |
| abstract_inverted_index.differentiated | 201 |
| abstract_inverted_index.χ23=11,338.2, | 403 |
| abstract_inverted_index.characteristics | 56 |
| abstract_inverted_index.(10,828/113,293, | 333 |
| abstract_inverted_index.(44,808/282,530) | 314 |
| abstract_inverted_index.characteristics, | 122, 138 |
| abstract_inverted_index.psychotherapists | 105, 307, 327 |
| abstract_inverted_index.sociodemographic | 121 |
| abstract_inverted_index.RR2-10.2196/50932 | 487 |
| abstract_inverted_index.(cross-tabulations | 178 |
| abstract_inverted_index.(29,600/9,837,118). | 370 |
| abstract_inverted_index.“Preference-based | 36 |
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| institutions_distinct_count | 15 |
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