Literature DB >> 30192211

Healthcare Service Utilization under a New Virtual Primary Care Delivery Model.

Lauren Cheung1,2, Tiffany I Leung3, Victoria Y Ding4, Jonathan X Wang1,2, Justin Norden1,2, Manisha Desai1,4, Robert A Harrington1,2, Sumbul Desai1,2.   

Abstract

Background: Telemedicine holds great promise for changing healthcare delivery. While telemedicine has been used significantly in the direct-to-consumer setting, the use of telemedicine in a preventive primary care setting is not well studied. Introduction: ClickWell Care (CWC) is the first known implementation of a technology-enabled primary care model. We wanted to quantify healthcare utilization of primary care by patient characteristics and modality of care delivery. Materials and
Methods: Our study population included those who completed a visit to a CWC clinic between January 1, 2015 and September 30, 2015. We compared patients based on utilization of CWCs in-person and virtual visits across the following domains: patient demographics, distance from clinic, responses to a Health Risk Assessment, and top 10 conditions treated.
Results: Thousand two hundred seven patients completed a visit with a CWC physician in 2015. Nearly three-quarters of our patients were ≤40 years and sex was significantly different (p = 0.015) between visit cohorts. The greatest representation of men (47%) was seen in the virtual-only cohort. Patients' proximity to the clinic was also significantly different across visit cohorts (p = 0.018) with 44% of in-person-only and 34% of virtual-only patients living within 5 miles of Stanford Hospital. Discussion: We found men were more likely to engage in virtual-only care. Young patients are willing to accept virtual care although many prefer to complete an in-person visit first. Conclusions: Our findings suggest that a "bricks-and-clicks" care model where telemedicine is supported by a brick-and-mortar location may be an effective way to leverage telemedicine to deliver primary care.

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Year:  2018        PMID: 30192211      PMCID: PMC7061299          DOI: 10.1089/tmj.2018.0145

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  28 in total

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8.  HealthPartners' online clinic for simple conditions delivers savings of $88 per episode and high patient approval.

Authors:  Patrick T Courneya; Kevin J Palattao; Jason M Gallagher
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9.  The many faces of access: reasons for medically nonurgent emergency department visits.

Authors:  Nurit Guttman; Deena R Zimmerman; Myra Schaub Nelson
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10.  Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper.

Authors:  Hilary Daniel; Lois Snyder Sulmasy
Journal:  Ann Intern Med       Date:  2015-09-08       Impact factor: 25.391

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  5 in total

1.  Utilizing a novel unified healthcare model to compare practice patterns between telemedicine and in-person visits.

Authors:  Justin G Norden; Jonathan X Wang; Sumbul A Desai; Lauren Cheung
Journal:  Digit Health       Date:  2020-09-17

2.  Pragmatic randomized trial of a pre-visit intervention to improve the quality of telemedicine visits for vulnerable patients living with HIV.

Authors:  Matthew D Hickey; Francesco Sergi; Kevin Zhang; Matthew A Spinelli; Douglas Black; Cyril Sola; Vanessa Blaz; Janet Q Nguyen; Jon Oskarsson; Monica Gandhi; Diane V Havlir
Journal:  J Telemed Telecare       Date:  2020-12-20       Impact factor: 6.344

3.  Uptake and patient and provider communication modality preferences of virtual visits in primary care: a retrospective cohort study in Canada.

Authors:  Vess Stamenova; Payal Agarwal; Leah Kelley; Jamie Fujioka; Megan Nguyen; Michelle Phung; Ivy Wong; Nike Onabajo; R Sacha Bhatia; Onil Bhattacharyya
Journal:  BMJ Open       Date:  2020-07-06       Impact factor: 2.692

4.  Factors Influencing Patients' Initial Decisions Regarding Telepsychiatry Participation During the COVID-19 Pandemic: Telephone-Based Survey.

Authors:  Jennifer Severe; Ruiqi Tang; Faith Horbatch; Regina Onishchenko; Vidisha Naini; Mary Carol Blazek
Journal:  JMIR Form Res       Date:  2020-12-22

5.  ClinicNet: machine learning for personalized clinical order set recommendations.

Authors:  Jonathan X Wang; Delaney K Sullivan; Alex C Wells; Jonathan H Chen
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  5 in total

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