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1000 Titel
  • Is loneliness associated with cancellation of medical appointments during the COVID-19 pandemic? Evidence from the Hamburg City Health Study (HCHS)
1000 Autor/in
  1. Hajek, A. |
  2. Petersen, E. |
  3. Schäfer, I. |
  4. Harth, V. |
  5. Koch-Gromus, U. |
  6. Härter, M. |
  7. Schulz, H. |
  8. Scherer, M. |
  9. König, H.H. |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-01-04
1000 Erschienen in
1000 Quellenangabe
  • 24(1):32
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12913-023-10490-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10768441/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>The COVID-19 pandemic engendered numerous societal and economic challenges in addition to health-related concerns. Maintenance of healthcare utilization assumed immense significance during this period. However, few studies have examined the association between loneliness and cancelled medical appointments during the COVID-19 pandemic. This study aimed to examine whether medical appointments are less likely to be cancelled with increased loneliness during a pandemic. We analyzed the association between loneliness and both patient- and provider-initiated appointment cancellations.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Cross-sectional data from the Hamburg City Health Study (HCHS) were collected during April 2020–November 2021. The analytical sample included 1,840 participants with an average age of 55.1 years (standard deviation: 6.5, range 45–76 years). Medical appointments cancelled by individuals—medical appointments in general, and GP, specialist, and dentist appointments—and appointments cancelled by healthcare providers served as outcome measures. Loneliness was quantified using a single item ranging from 0 to 10. Accordingly, we created empirical loneliness tertiles. Covariates were selected based on the Andersen model. Several penalized maximum likelihood logistic regressions were utilized to examine the association between loneliness and cancellation of medical appointments during the COVID-19 pandemic.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The penalized maximum likelihood logistic regressions showed that, compared to individuals in the lowest loneliness tertiles, individuals in the other two tertiles reported a higher chance of medical appointments cancellation by individuals, particularly driven by cancelled GP appointments. Except for age and sex, none of the covariates were comparably associated with the outcomes. When appointments cancelled by healthcare providers served as outcomes, only a higher number of chronic conditions was significantly positively associated with it.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Individuals scoring higher in loneliness had a greater chance of cancelling medical (particularly GP) appointments. This may contribute to a potential cascade of loneliness and skipped medical appointments in the future, resulting in adverse health outcomes over the medium-to-long term. Future research should examine whether lonely people are more likely to lack the social motivation to visit the doctor.</jats:p> </jats:sec>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Aged [MeSH]
lokal Humans [MeSH]
lokal Postponed healthcare use
lokal Middle Aged [MeSH]
lokal COVID-19
lokal Cross-Sectional Studies [MeSH]
lokal Healthcare use
lokal Patient Acceptance of Health Care [MeSH]
lokal Pandemics [MeSH]
lokal Corona-virus
lokal Research
lokal Loneliness [MeSH]
lokal COVID-19/epidemiology [MeSH]
lokal Combatting health service delays
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/SGFqZWssIEEu|https://frl.publisso.de/adhoc/uri/UGV0ZXJzZW4sIEUu|https://frl.publisso.de/adhoc/uri/U2Now6RmZXIsIEku|https://frl.publisso.de/adhoc/uri/SGFydGgsIFYu|https://frl.publisso.de/adhoc/uri/S29jaC1Hcm9tdXMsIFUu|https://frl.publisso.de/adhoc/uri/SMOkcnRlciwgTS4=|https://frl.publisso.de/adhoc/uri/U2NodWx6LCBILg==|https://frl.publisso.de/adhoc/uri/U2NoZXJlciwgTS4=|https://frl.publisso.de/adhoc/uri/S8O2bmlnLCBILkgu
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1000 Label
1000 Förderer
  1. Universitätsklinikum Hamburg-Eppendorf (UKE) |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Hamburg-Eppendorf (UKE) |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2025-02-06T13:45:31.392+0100
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