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Rapid response nursing triage outcomes for COVID-19: factors associated with patient's participation in triage recommendations.
Chen, Jyu-Lin; Lin, Chen-Xi; Park, Mijung; Nutor, Jerry John; de Lisser, Rosalind; Hoffmann, Thomas J; Kim, Hannah J.
  • Chen JL; Department of Family Health Care Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143-0606, USA. jyu-lin.chen@ucsf.edu.
  • Lin CX; Department of Family Health Care Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143-0606, USA.
  • Park M; Department of Family Health Care Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143-0606, USA.
  • Nutor JJ; Department of Family Health Care Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA, 94143-0606, USA.
  • de Lisser R; Davis Betty Irene Moore Hall, School of Nursing, University of California, 2570 48th St., Sacramento, CA, 95817, USA.
  • Hoffmann TJ; Department of Epidemiology and Biostatistics, University of California, San Francisco, 513 Parnassus Ave, MSB, San Francisco, CA, 94117, USA.
  • Kim HJ; Kaiser Permanente Division of Research, 2000 Broadway, Oakland, CA, 94612, USA.
BMC Med Inform Decis Mak ; 23(1): 47, 2023 03 08.
Article in English | MEDLINE | ID: covidwho-2254553
ABSTRACT

BACKGROUND:

COVID-19 is an ongoing global health crisis with prevention and treatment recommendations rapidly changing. Rapid response telephone triage and advice services are critical in providing timely care during pandemics. Understanding patient participation with triage recommendations and factors associated with patient participation can assist in developing sensitive and timely interventions for receiving the treatment to prevent adverse health effects of COVID-19.

METHODS:

This cohort study aimed to assess patient participation (percentage of patients who followed nursing triage suggestions from the COVID hotline) and identify factors associated with patient participation in four quarterly electronic health records from March 2020 to March 2021 (Phase 1 14 March 2020-6 June 2020; Phase 2 17 June 2020-16 September 2020; Phase 3 17 September 2020-16 December 2020; Phase 4 17 December 2020-16 March 2021). All callers who provided their symptoms (including asymptomatic with exposure to COVID) and received nursing triage were included in the study. Factors associated with patient participation were identified using multivariable logistic regression analyses, including demographic variables, comorbidity variables, health behaviors, and COVID-19-related symptoms.

RESULTS:

The aggregated data included 9849 encounters/calls from 9021 unique participants. Results indicated (1) 72.5% of patient participation rate; (2) participants advised to seek emergency department care had the lowest patient participation rate (43.4%); (3) patient participation was associated with older age, a lower comorbidity index, a lack of unexplained muscle aches, and respiratory symptoms. The absence of respiratory symptoms was the only factor significantly associated with patient participation in all four phases (OR = 0.75, 0.60, 0.64, 0.52, respectively). Older age was associated with higher patient participation in three out of four phases (OR = 1.01-1.02), and a lower Charlson comorbidity index was associated with higher patient participation in phase 3 and phase 4 (OR = 0.83, 0.88).

CONCLUSION:

Public participation in nursing triage during the COVID pandemic requires attention. This study supports using a nurse-led telehealth intervention and reveals crucial factors associated with patient participation. It highlighted the importance of timely follow-up in high-risk groups and the benefit of a telehealth intervention led by nurses serving as healthcare navigators during the COVID-19 pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nurses Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Med Inform Decis Mak Journal subject: Medical Informatics Year: 2023 Document Type: Article Affiliation country: S12911-023-02139-x

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Nurses Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: BMC Med Inform Decis Mak Journal subject: Medical Informatics Year: 2023 Document Type: Article Affiliation country: S12911-023-02139-x