Visit and Between-Visit Interaction Frequency Before and After COVID-19 Telehealth Implementation

被引:2
|
作者
Nouri, Sarah [2 ]
Lyles, Courtney R. [3 ,4 ,5 ]
Sherwin, Elizabeth B. [5 ]
Kuznia, Magdalene [6 ]
Rubinsky, Anna D. [5 ]
Kemper, Kathryn E. [4 ,5 ]
Nguyen, Oanh K. [4 ,7 ]
Sarkar, Urmimala [3 ,4 ]
Schillinger, Dean [3 ,4 ]
Khoong, Elaine C. [1 ,3 ,4 ]
机构
[1] Univ Calif San Francisco, Zuckerberg San Francisco Gen Hosp, Dept Med, Div Gen Internal Med, 2540 23rd St,4708 San Francisco, San Francisco, CA 94110 USA
[2] Univ Calif San Francisco, Dept Med, Div Palliat Med, San Francisco, CA USA
[3] Univ Calif San Francisco, Zuckerberg San Francisco Gen Hosp, Dept Med, Div Gen Internal Med, San Francisco, CA USA
[4] Univ Calif San Francisco, Ctr Vulnerable Populat, San Francisco, CA USA
[5] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[6] Univ Calif San Francisco, Sch Nursing, San Francisco, CA USA
[7] Univ Calif San Francisco, Zuckerberg San Francisco Gen Hosp, Div Hosp Med, Dept Med, San Francisco, CA USA
关键词
PRIMARY-CARE; TELEMEDICINE USE; MANAGEMENT; PROVIDERS; TELEPHONE; IMPROVE;
D O I
10.1001/jamanetworkopen.2023.33944
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Importance Telehealth implementation associated with the COVID-19 public health emergency (PHE) affected patient-clinical team interactions in numerous ways. Yet, studies have narrowly examined billed patient-clinician visits rather than including visits with other team members (eg, pharmacists) or between-visit interactions.Objective To evaluate rates of change over time in visits (in-person, telehealth) and between-visit interactions (telephone calls, patient portal messages) overall and by key patient characteristics.Design, Setting, and ParticipantsThis retrospective cohort study included adults with diabetes receiving primary care at urban academic (University of California San Francisco [UCSF]) and safety-net (San Francisco Health Network [SFHN]) health care systems. Encounters from April 2019 to March 2021 were analyzed.Exposure Telehealth implementation over 3 periods: pre-PHE (April 2019 to March 2020), strict shelter-in-place (April to June 2020), and hybrid-PHE (July 2020 to March 2021).Main Outcomes and Measures The main outcomes were rates of change in monthly mean number of total encounters, visits with any health care team member, visits with billing clinicians, and between-visit interactions. Key patient-level characteristics were age, race and ethnicity, language, and neighborhood socioeconomic status (nSES).Results Of 15 148 patients (4976 UCSF; 8975 SFHN) included, 2464 (16%) were 75 years or older, 7734 (51%) were female patients, 9823 (65%) self-identified as racially or ethnically minoritized, 6223 (41%) had a non-English language preference, and 4618 (31%) lived in the lowest nSES quintile. After accounting for changes to care delivery through an interrupted time-series analysis, total encounters increased in the hybrid-PHE period (UCSF: 2.3% per patient/mo; 95% CI, 1.6%-2.9% per patient/mo; SFHN: 1.8% per patient/mo, 95% CI, 1.3%-2.2% per patient/mo), associated primarily with growth in between-visit interactions (UCSF: 3.1% per patient/mo, 95% CI, 2.3%-3.8% per patient/mo; SFHN: 2.9% per patient/mo, 95% CI, 2.3%-3.4% per patient/mo). In contrast, rates of visits were stable during the hybrid-PHE period. Although there were fewer differences in visit use by key patient-level characteristics during the hybrid-PHE period, pre-PHE differences in between-visit interactions persisted during the hybrid-PHE period at SFHN. Asian and Chinese-speaking patients at SFHN had fewer monthly mean between-visit interactions compared with White patients (0.46 [95% CI, 0.42-0.50] vs 0.59 [95% CI, 0.53-0.66] between-visit interactions/patient/mo; P < .001) and English-speaking patients (0.52 [95% CI, 0.47-0.58] vs 0.61 [95% CI, 0.56-0.66] between-visit interactions/patient/mo; P = .03).Conclusions and Relevance In this study, pre-PHE growth in overall patient-clinician encounters persisted after PHE-related telehealth implementation, driven in both periods by between-visit interactions. Differential utilization based on patient characteristics was observed, which may indicate disparities. The implications for health care team workload and patient outcomes are unknown, particularly regarding between-visit interactions. Therefore, to comprehensively understand care utilization for patients with chronic diseases, research should expand beyond billed visits.
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页数:16
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