Characteristics of Patients Using Different Patient Portal Functions and the Impact on Primary Care Service Utilization and Appointment Adherence: Retrospective Observational Study

被引:37
|
作者
Zhong, Xiang [1 ]
Park, Jaeyoung [1 ]
Liang, Muxuan [2 ]
Shi, Fangyun [3 ]
Budd, Pamela R. [3 ]
Sprague, Julie L. [3 ]
Dewar, Marvin A. [3 ]
机构
[1] Univ Florida, Dept Ind & Syst Engn, 482 Weil Hall, Gainesville, FL 32611 USA
[2] Fred Hutchinson Canc Res Ctr, Publ Hlth Sci Div, 1124 Columbia St, Seattle, WA 98104 USA
[3] Univ Florida Hlth Phys, Gainesville, FL USA
关键词
patient portal function; user subgroup identification; heterogeneous causal effect; primary care service utilization; appointment adherence; ELECTRONIC HEALTH RECORDS; DIGITAL DIVIDE; ACCESS; INFORMATION; ENGAGEMENT; VISITS;
D O I
10.2196/14410
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Patient portals are now widely available and increasingly adopted by patients and providers. Despite the growing research interest in patient portal adoption, there is a lack of follow-up studies describing the following: whether patients use portals actively; how frequently they use distinct portal functions; and, consequently, what the effects of using them are, the understanding of which is paramount to maximizing the potential of patient portals to enhance care delivery. Objective: To investigate the characteristics of primary care patients using different patient portal functions and the impact of various portal usage behaviors on patients' primary care service utilization and appointment adherence. Methods: A retrospective, observational study using a large dataset of 46,544 primary care patients from University of Florida Health was conducted. Patient portal users were defined as patients who adopted a portal, and adoption was defined as the status that a portal account was opened and kept activated during the study period. Then, users were further classified into different user subgroups based on their portal usage of messaging, laboratory, appointment, and medication functions. The intervention outcomes were the rates of primary care office visits categorized as arrived, telephone encounters, cancellations, and no-shows per quarter as the measures of primary care service utilization and appointment adherence. Generalized linear models with a panel difference-in-differences study design were then developed to estimate the rate ratios between the users and the matched nonusers of the four measurements with an observational window of up to 10 quarters after portal adoption. Results: Interestingly, a high propensity to adopt patient portals does not necessarily imply more frequent use of portals. In particular, the number of active health problems one had was significantly negatively associated with portal adoption (odds ratios [ORs] 0.57-0.86, 95% CIs 0.51-0.94, all P<.001) but was positively associated with portal usage (ORs 1.37-1.76, 95% CIs 1.11-2.22, all P=.01). The same was true for being enrolled in Medicare for portal adoption (OR 0.47, 95% CI 0.41-0.54, P<.001) and message usage (OR 1.44, 95% CI 1.03-2.03, P=.04). On the impact of portal usage, the effects were time-dependent and specific to the user subgroup. The most salient change was the improvement in appointment adherence, and patients who used messaging and laboratory functions more often exhibited a larger reduction in no-shows compared to other user subgroups. Conclusions: Patients differ in their portal adoption and usage behaviors, and the portal usage effects are heterogeneous and dynamic. However, there exists a lack of match in the patient portal market where patients who benefit the most from patient portals are not active portal adopters. Our findings suggest that health care delivery planners and administrators should remove the barriers of adoption for the portal beneficiaries; in addition, they should incorporate the impact of portal usage into care coordination and workflow design, ultimately aligning patients' and providers' needs and functionalities to effectively deliver patient-centric care.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Impact of adverse events on patient outcomes in a Japanese intensive care unit: a retrospective observational study
    Aikawa, Gen
    Ouchi, Akira
    Sakuramoto, Hideaki
    Ono, Chiemi
    Hatozaki, Chie
    Okamoto, Mayu
    Hoshino, Tetsuya
    Shimojo, Nobutake
    Inoue, Yoshiaki
    NURSING OPEN, 2021, 8 (06): : 3271 - 3280
  • [32] Treatment adherence in newly diagnosed type 2 diabetes: patient characteristics and long-term impact of adherence on inpatient care utilization
    Sun, Peter
    Lian, Jean
    POSTGRADUATE MEDICINE, 2016, 128 (04) : 338 - 345
  • [33] Electronic Messaging Use via a Patient Portal Is Associated with Primary Care Utilization in Patients with Type 2 Diabetes
    Sun, Ran
    Sereika, Susan M.
    Saul, Melissa
    Korytkowski, Mary T.
    Li, Dan
    Burke, Lora E.
    DIABETES, 2018, 67
  • [34] Advance Care Planning Among Users of a Patient Portal During the COVID-19 Pandemic: Retrospective Observational Study
    Portz, Jennifer D.
    Brungardt, Adreanne
    Shanbhag, Prajakta
    Staton, Elizabeth W.
    Bose-Brill, Seuli
    Lin, Chen-Tan
    Kutner, Jean S.
    Lum, Hillary D.
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (08)
  • [35] Increased adherence to treatment guidelines in patients with urinary tract infection in primary care: A retrospective study
    Isberg, Helena Kornfalt
    Hedin, Katarina
    Melander, Eva
    Molstad, Sigvard
    Beckman, Anders
    PLOS ONE, 2019, 14 (03):
  • [36] Using the Primary care Academic CollaboraTive to explore the characteristics and healthcare use of older housebound patients in England: protocol for a retrospective observational study and clinician survey (the CHiP study)
    Winn, Elizabeth
    Kissane, Madeleine
    Merriel, Samuel W. D.
    Brain, Thomas
    Silverwood, Victoria A.
    Whitehead, Ishbel Orla
    Howe, Laura
    Payne, Rupert A.
    Duncan, Polly
    BJGP OPEN, 2023, 7 (04) : 1 - 8
  • [37] Characteristics of Adult Primary Care Patients Who Use the Patient Portal: A Cross-Sectional Analysis
    Casacchia, Nicholas J.
    Rosenthal, Gary E.
    O'Connell, Nathaniel S.
    Bundy, Richa
    Witek, Lauren
    Wells, Brian J.
    Palakshappa, Deepak
    APPLIED CLINICAL INFORMATICS, 2022, 13 (05): : 1053 - 1062
  • [38] Impact of organizational context on patient outcomes in a proactive primary care program:a longitudinal observational study
    Smit, Linda C.
    De Wit, Niek J.
    Nieuwenhuizen, Meggie L.
    Schuurmans, Marieke J.
    Bleijenberg, Nienke
    BMC GERIATRICS, 2021, 21 (01)
  • [39] Impact of organizational context on patient outcomes in a proactive primary care program:a longitudinal observational study
    Linda C. Smit
    Niek J. De Wit
    Meggie L. Nieuwenhuizen
    Marieke J. Schuurmans
    Nienke Bleijenberg
    BMC Geriatrics, 21
  • [40] Measuring the impact of influenza vaccination in the Netherlands using retrospective observational primary care, hospitalisation and mortality data
    Heins, Marianne J.
    Spreeuwenberg, Peter
    Caini, Saverio
    Hooiveld, Mariette
    Meijer, Adam
    Paget, John
    VACCINE, 2024, 42 (26)