Objectives To investigate baseline characteristics associated with elderly calling the medical helpline Medical Helpline 1813 (MH1813) in Denmark and how these baseline characteristics were associated with triage outcomes in a subset population of patients with high degree of worry (DOW). Setting: In the Capital Region of Denmark people with acute, non-life-threatening illnesses or injuries are triaged through a single-tier MH1813 for acute healthcare services. Participants: Participants were gathered from a prospective cohort established between 24 January and 9 February 2017 who called the MH1813. Out of 11,413 citizens, 1525 (13.3%) were elderly (≥ 65 years). Callers' identification, age, sex, and contact with general practitioner (GP) prior to MH1813-call were collected from the medical helpline's electronic records. Data were enriched using the callers' self-rated health, self-evaluated degree of worry, and registry data on comorbidities. Results Forty-two percent of call issues were terminated without any further action. Among 882 triaged to a hospital face-to-face consultation, n = 315 (36%) were admitted and 2/3 discharged directly from the emergency department. More than one third of the most worried elderly callers have had a contact with their GP prior to the MH1813 call. A high versus low level of Charlson Comorbidity Index tended to increase admission rate. Seven-hundred-forty-nine (49%) were self-callers and high DOW (crude and adjusted) was significantly associated to a higher triage outcome of admission in both the total population and the patient self-caller population. Adjusted self-rated health was not significantly associated with admission within the subset group of elderly self-callers with DOW 4–5 (n = 364). Men did more often than woman attend a face-to-face consultation (46% vs. 37%) and subsequent admission (23% vs. 18%). Conclusion This study suggests that the aggravation of acute-chronic illnesses among older citizens may lead to acute hospitalization, and inadvertently perpetuating the risk of re-transitions of elderly in the healthcare system.
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Johansen et al. (2024) studied this question.
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