Dataset Information

Patient and Visit Characteristics Associated With Use of Direct Scheduling in Primary Care Practices.

ABSTRACT: Importance:Medical practices increasingly allow patients to schedule their own visits through online patient portals, yet little is known about who adopts direct scheduling or how this service is used. Objective:To determine patient and visit characteristics associated with direct scheduling, visit patterns, and potential implications for access and continuity in the primary care setting. Design, Setting, and Participants:This cross-sectional study used electronic health record (EHR) data from 17 adult primary care practices in a large academic medical center in the Boston, Massachusetts, area. Participants included patients 18 years or older who were attributed in the EHR to an active primary care physician at 1 of the included primary care practices, were enrolled in the patient portal, and had at least 1 visit to 1 of these practices between March 1, 2018, and March 1, 2019, the period of analysis. Data were analyzed from October 25, 2019, to April 14, 2020. Main Outcomes and Measures:Adoption of direct scheduling, defined as at least 1 use during the study period. Usual scheduling was defined as scheduling with clinic staff by telephone or in person. Results:We examined 134?225 completed visits by 62?080 patients (mean [SD] age, 51.1 [16.4] years, 37?793 [60.9%] women) attributed to 140 primary care physicians at 17 primary care practices. A total of 5020 patients (8.1% [95% CI, 7.9%-8.3%]) adopted direct scheduling, with an age range of 18 to 95 years. Compared with nonadopters in the same practices, adopters were younger (adjusted odds ratio [AOR] per additional year, 0.98 [95% CI, 0.98-0.99]) and were more likely to be White (AOR, 1.09 [95% CI, 1.01-1.17]) and commercially insured (AOR vs uninsured, 1.40 [95% CI, 1.11-1.76]) and to have more comorbidities (AOR per additional comorbidity, 1.07 [95% CI, 1.04-1.11]). Compared with usually scheduled visits, directly scheduled visits were more likely to be for general medical examinations (1979 visits [36.7%] vs 26?519 visits [21.9%]; P?

SUBMITTER: Ganguli I

PROVIDER: S-EPMC7453311 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Patient and Visit Characteristics Associated With Use of Direct Scheduling in Primary Care Practices.

Ganguli Ishani I Orav E John EJ Lupo Claire C Metlay Joshua P JP Sequist Thomas D TD

JAMA network open 20200803 8

<h4>Importance</h4>Medical practices increasingly allow patients to schedule their own visits through online patient portals, yet little is known about who adopts direct scheduling or how this service is used.<h4>Objective</h4>To determine patient and visit characteristics associated with direct scheduling, visit patterns, and potential implications for access and continuity in the primary care setting.<h4>Design, setting, and participants</h4>This cross-sectional study used electronic health re ...[more]

PMID: 32852551

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Project description:ImportanceVideo or telephone telemedicine can offer patients access to a clinician without arranging for transportation or spending time in a waiting room, but little is known about patient characteristics associated with choosing between telemedicine or office visits.ObjectiveTo examine patient characteristics associated with choosing a telemedicine visit vs office visit with the same primary care clinicians.Design, setting, and participantsThis cross-sectional study included data from 1 131 722 patients who scheduled a primary care appointment through the Kaiser Permanente Northern California patient portal between January 1, 2016, and May 31, 2018. All completed primary care appointments booked via the patient portal were identified. Only index visits without any other clinical visits within 7 days were included to define a relatively distinct patient-initiated care-seeking episode. Visits for routine physical, which are not telemedicine-eligible, were excluded. Data were analyzed from July 1, 2018, to December 31, 2019.Main outcomes and measuresPatient choice between an office, video, or telephone visit. Relative risk ratios (RRRs) for patient sociodemographic characteristics (age, sex, race/ethnicity, neighborhood socioeconomic status, language preference), technology access (neighborhood residential internet, mobile portal use), visiting the patient's own personal primary care clinician, and in-person visit barriers (travel-time, parking, cost-sharing), associated with choice of video or telephone telemedicine (vs office visit).ResultsOf 2 178 440 patient-scheduled primary care visits scheduled by 1 131 722 patients, 86% were scheduled as office visits and 14% as telemedicine visits, with 7% of the telemedicine visits by video. Choosing telemedicine was statistically significantly associated with patient sociodemographic characteristics. For example, patients aged 65 years and over were less likely than patients aged 18 to 44 years to choose telemedicine (RRR, 0.24; 95% CI, 0.22-0.26 for video visit; RRR 0.55; 95% CI, 0.54-0.57 for telephone visit). Choosing telemedicine was also statistically significantly associated with technology access (patients living in a neighborhood with high rates of residential internet access were more likely to choose a video visit than patients whose neighborhoods had low internet access: RRR, 1.10; 95% CI, 1.06-1.14); as well as in-person visit barriers (patients whose clinic had a paid parking structure were more likely to choose a telemedicine visit than patients whose facility had free parking: RRR, 1.70; 95% CI, 1.41-2.05 for video visit; and RRR, 1.73, 95% CI, 1.61-1.86 for telephone visit).Conclusions and relevanceIn this cross-sectional study, patients usually chose an in-person visit when scheduling an appointment online through the portal. Telemedicine may offer the potential to reach vulnerable patient groups and improve access for patients with transportation, parking, or cost barriers to clinic visits.

Project description:BACKGROUND:Regular primary care visits may allow an opportunity to deliver high-value, proactive care. However, no previous study has examined whether more temporally regular primary care visits predict better outcomes. OBJECTIVE:To examine the relationship between the temporal regularity of primary care (PC) visits and outcomes. DESIGN:Retrospective cohort study. PARTICIPANTS:We used Medicare claims for 378,862 fee-for-service Medicare beneficiaries, who received PC at 1328 federally qualified health centers from 2010 to 2014. MAIN MEASURES:We created five beneficiary groups based upon their annual number of PC visits. We further subdivided those groups according to whether PC visits occurred with more or less regularity than the median value. We compared these 10 subgroups on three outcomes, adjusting for beneficiary characteristics: emergency department (ED) visits, hospitalizations, and total Medicare expenditures. We also aggregated to the clinic level and divided clinics into tertiles of more, less, and similarly regular to predicted. We compared these three groups of clinics on the same three outcomes of care. KEY RESULTS:Within each visit frequency group, beneficiaries in the subgroup with fewer regular visits had more ED visits, more hospitalizations, and higher costs. Among beneficiaries with the most frequent PC visits, the less regular subgroup had more ED visits (1.70 vs. 1.31 per person-year), more hospitalizations (0.69 vs. 0.57), and greater Medicare expenditures ($20,731 vs. $17,430, p?<?0.001 for all comparisons). Clinics whose PC visits were more regular than predicted also had better outcomes than other clinics, although the effect sizes were smaller. CONCLUSIONS:Temporal patterns of PC visits are correlated with outcomes, even among beneficiaries who appear otherwise similar. Measuring the temporal regularity of PC visits may be useful for identifying beneficiaries at risk for adverse events, and as a barometer for and an impetus to clinic-level quality improvement.

Project description:ImportanceRacial and ethnic disparities in access to health care may result from discrimination.ObjectivesTo identify differences in the rates at which patients belonging to racial/ethnic minority groups are offered primary care appointments and the number of days they wait for their primary care appointment and to understand the mechanisms by which discrimination occurs.Design, setting, and participantsThis cross-sectional study used 7 simulated black, Hispanic, and white patient callers to request appointments from 804 randomized primary care offices in 2 urban centers in Texas from November 2017 to February 2018. Data analysis was conducted between February and December 2018.ExposuresResearch assistants called randomly assigned offices to schedule an appointment, supplying the same basic information. Race and ethnicity were signaled through callers' names and voices.Main outcomes and measuresAppointment offer rates, days to appointment, and questions asked during the call.ResultsOf the 7 callers (age range, 18-29 years), 2 (28.6%) self-identified as non-Hispanic black, 3 (42.9%) self-identified as non-Hispanic white, and 2 (28.6%) self-identified as Hispanic. Of the 804 calls they made, 299 (37.2%) were from simulated white callers, 215 (26.7%) were from simulated black callers, and 290 (36.1%) were from simulated Hispanic callers. Overall, 582 callers (72.4%) were offered appointments. In unadjusted models, black and Hispanic callers were more likely to be offered an appointment than white callers (black callers, 32.2 [95% CI, 25.1-39.3] percentage points more likely; P < .001; Hispanic callers, 21.1 [95% CI, 13.7-28.5] percentage points more likely; P < .001). However, after adjusting for whether insurance status was revealed, this statistical significance was lost. In adjusted models, black callers were 44.0 (95% CI, 36.2-51.8) percentage points more likely to be asked about their insurance status than white callers (P < .001), and Hispanic callers were 25.3 (95% CI, 17.1-33.5) percentage points more likely to be asked about their insurance status (P < .001) than white callers. Black and Hispanic callers received appointments further in the future than white callers (black callers: marginal effect estimate, 3.650; 95% CI, 0.579 to 6.721; P = .08; Hispanic callers: marginal effect estimate, 2.644; 95% CI, -0.496 to 5.784; P = .02).Conclusions and relevanceIn this study, black and Hispanic patients were more likely to be offered an appointment, but they were asked more frequently about their insurance status than white callers. Black and Hispanic callers experienced longer wait times than white patients, indicating a barrier to timely access to primary care.

Project description:BackgroundmHealth tablet-based interventions are increasingly being studied and deployed in various health care settings, yet little knowledge exists regarding patient uptake and acceptance or how patient demographics influence these important implementation metrics.ObjectiveTo determine which factors influence the uptake and successful completion of an mHealth tablet questionnaire by analyzing its implementation in a primary care setting.MethodsWe prospectively studied a patient-facing electronic touch-tablet asthma questionnaire deployed as part of the Electronic Asthma Management System. We describe tablet uptake and completion rates and corresponding predictor models for these behaviors.ResultsThe tablet was offered to and accepted by patients in 891/1715 (52.0%) visits. Patients refused the tablet in 33.0% (439/1330) visits in which it was successfully offered. Patients aged older than 65 years of age (odds ratio [OR] 2.30, 95% CI 1.33-3.95) and with concurrent chronic obstructive pulmonary disease (OR 2.22, 95% CI 1.05-4.67) were more likely to refuse the tablet, and those on an asthma medication (OR 0.55, 95% CI 0.30-0.99) were less likely to refuse it. Once accepted, the questionnaire was completed in 784/891 (88.0%) instances, with those on an asthma medication (OR 0.53, 95% CI 0.32-0.88) being less likely to leave it incomplete.ConclusionsOlder age predicted initial tablet refusal but not tablet questionnaire completion, suggesting that perceptions of mHealth among older adults may negatively impact uptake, independent of usability. The influence of being on an asthma medication suggests that disease severity may also mediate mHealth acceptance. Although use of mHealth questionnaires is growing rapidly across health care settings and diseases, few studies describe their real-world acceptance and its predictors. Our results should be complemented by qualitative methods to identify barriers and enablers to uptake and may inform technological and implementation strategies to drive successful usage.

Project description:PurposeHealth insurance coverage affects a patient's ability to access optimal care, the percentage of insured patients on a clinic's panel has an impact on the clinic's ability to provide needed health care services, and there are racial and ethnic disparities in coverage in the United States. Thus, we aimed to assess changes in insurance coverage at community health center (CHC) visits after the Patient Protection and Affordable Care Act (ACA) Medicaid expansion by race and ethnicity.MethodsWe undertook a retrospective, observational study of visit payment type for CHC patients aged 19 to 64 years. We used electronic health record data from 10 states that expanded Medicaid and 6 states that did not, 359 CHCs, and 870,319 patients with more than 4 million visits. Our analyses included difference-in-difference (DD) and difference-in-difference-in-difference (DDD) estimates via generalized estimating equation models. The primary outcome was health insurance type at each visit (Medicaid-insured, uninsured, or privately insured).ResultsAfter the ACA was implemented, uninsured visit rates decreased for all racial and ethnic groups. Hispanic patients experienced the greatest increases in Medicaid-insured visit rates after ACA implementation in expansion states (rate ratio [RR] = 1.77; 95% CI, 1.56-2.02) and the largest gains in privately insured visit rates in nonexpansion states (RR = 3.63; 95% CI, 2.73-4.83). In expansion states, non-Hispanic white patients had twice the magnitude of decrease in uninsured visits compared with Hispanic patients (DD = 2.03; 95% CI, 1.53-2.70), and this relative change was more than 2 times greater in expansion states compared with nonexpansion states (DDD = 2.06; 95% CI, 1.52-2.78).ConclusionThe lower rates of uninsured visits for all racial and ethnic groups after ACA implementation suggest progress in expanding coverage to CHC patients; this progress, however, was not uniform when comparing expansion with nonexpansion states and among all racial and ethnic minority subgroups. These findings suggest the need for continued and more equitable insurance expansion efforts to eliminate health insurance disparities.

Project description:BACKGROUND:The growing movement toward more accountable care delivery and the increasing number of people with chronic illnesses underscores the need for primary care practices to engage patients in their own care. OBJECTIVE:For adult primary care practices seeing patients with diabetes and/or cardiovascular disease, we examined the relationship between selected practice characteristics, patient engagement, and patient-reported outcomes of care. DESIGN:Cross-sectional multilevel observational study of 16 randomly selected practices in two large accountable care organizations (ACOs). PARTICIPANTS:Patients with diabetes and/or cardiovascular disease (CVD) who met study eligibility criteria (n?=?4368) and received care in 2014 were randomly selected to complete a patient activation and PRO survey (51% response rate; n?=?2176). Primary care team members of the 16 practices completed surveys that assessed practice culture, relational coordination, and teamwork (86% response rate; n?=?411). MAIN MEASURES:Patient-reported outcomes included depression (PHQ-4), physical functioning (PROMIS SF12a), and social functioning (PROMIS SF8a), the Patient Assessment of Chronic Illness Care instrument (PACIC-11), and the Patient Activation Measure instrument (PAM-13). Patient-level covariates included patient age, gender, education, insurance coverage, limited English language proficiency, blood pressure, HbA1c, LDL-cholesterol, and disease comorbidity burden. For each of the 16 practices, patient-centered culture and the degree of relational coordination among team members were measured using a clinician and staff survey. The implementation of shared decision-making activities in each practice was assessed using an operational leader survey. KEY RESULTS:Having a patient-centered culture was positively associated with fewer depression symptoms (odds ratio [OR]?=?1.51; confidence interval [CI] 1.04, 2.19) and better physical function scores (OR?=?1.85; CI 1.25, 2.73). Patient activation was positively associated with fewer depression symptoms (OR?=?2.26; CI 1.79, 2.86), better physical health (OR?=?2.56; CI 2.00, 3.27), and better social health functioning (OR?=?4.12; CI 3.21, 5.29). Patient activation (PAM-13) mediated the positive association between patients' experience of chronic illness care and each of the three patient-reported outcome measures-fewer depression symptoms, better physical health, and better social health. Relational coordination and shared decision-making activities reported by practices were not significantly associated with higher patient-reported outcome scores. CONCLUSIONS:Diabetic and CVD patients who received care from ACO-affiliated practices with more developed patient-centered cultures reported lower PHQ-4 depression symptom scores and better physical functioning. Diabetic and CVD patients who were more highly activated to participate in their care reported lower PHQ-4 scores and better physical and social outcomes of care.

Dataset Information

Patient and Visit Characteristics Associated With Use of Direct Scheduling in Primary Care Practices.

Publications

Patient and Visit Characteristics Associated With Use of Direct Scheduling in Primary Care Practices.

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