Abstract
Objective:
To describe the patient population accessing in-person versus telehealth contraceptive care and to identify demographic disparities in telehealth care utilization.
Design:
We conducted a retrospective chart review of patients accessing telehealth and in-person contraceptive care at an academic health center between January 1, 2021, and December 31, 2021. Billing data were used to identify medical records for patients aged 18–54 who had a contraceptive visit during this time. Demographic and past medical history were collected from the electronic health record.
Results:
A total of 1,435 unique patients were included. Of 1,691 total visits, 16% were telehealth visits. Being publicly insured was significantly associated with decreased likelihood of having a telehealth visit compared with an in-person visit and remained so after adjusting for race, marital status, and language (adjusted risk ratio [aRR]: 0.51, confidence interval [CI]: 0.33–0.78). Individuals aged 45 years and older were less likely to have telehealth visits (aRR: 0.52, CI: 0.27–1.02). Being single was positively associated with accessing telehealth contraceptive care (aRR: 1.57, CI: 1.06–2.23). There were no statistically significant associations by race or ethnicity. Intrauterine devices were the most commonly prescribed contraceptive type after an in-person visit (35%) while oral contraceptives were the most commonly prescribed after telehealth visits (37%).
Conclusions:
Our study found decreased utilization of telehealth for contraceptive care among patients who are publicly insured and older than 45. We found no differences in the use of telehealth for contraceptive care by race, ethnicity, or language. Telehealth is a powerful tool with the potential to increase equity in health care. It is important to continue research to understand how patient demographics affect use of telehealth for contraceptive care to facilitate more equitable access.
Introduction
The COVID-19 pandemic profoundly changed the health care landscape of America by highlighting significant racial and economic disparities within the system. 1,2 In the early months of the pandemic, it became clear that patients who are affected by social determinants of health such as race, gender and sexuality, socioeconomic status, and structural community, were further disenfranchised by the pandemic, which lead to higher infection rates and lower vaccination rates. 3,4
Within the world of obstetrics and gynecology, there was great concern about how the pandemic would impact access to reproductive health services, which are already under threat in the American political landscape. A 2019 National Survey of Family Growth found that between 2017 and 2019, nearly 45% of American women aged 15–49 required access to contraception that at the time could only be provided by a medical provider including long acting reproductive contraceptives, sterilization, and oral contraceptive pills. 5 Access is key to reproductive autonomy, and the lack thereof, can further exacerbate issues surrounding reproductive rights, sexual health, and patient wellbeing. A 2011 study by Dehlendorf et al. highlighted how decreased access to contraceptive care disproportionately affects patients of color and those from lower socioeconomic backgrounds, contributing to a greater incidence of adverse and undesired reproductive outcomes. 6
During the pandemic, a number of studies found that in-person contraceptive health visits declined sharply, likely secondary to fear around the virus and contact precautions. 7,8 There was a clear need to change the way we traditionally delivered contraceptive care to our patients. With decreased accessibility to in-person visits, telemedicine became a possible solution for continuing this necessary, patient-centered care. In March of 2020, the Center for Medicare and Medicaid Services announced reduced restrictions on telemedicine and expanded reimbursement for such services. 9 State governments and private insurance companies followed suit, thus paving the way for expanded telehealth care for patients at the height of the pandemic. Health care facilities that did not previously have telehealth services were pushed to establish them in order to maintain access for their patients. Several studies found a surge in telehealth visits during the pandemic. 10 –12
A 2019 study by Zapata et al. compared changes in family planning services before and during the pandemic, with a specific focus on health care delivery strategies, by surveying health centers. 13 Over 48% of the centers surveyed had initiated new telehealth services for contraceptive care in response to the pandemic. Similar trends were reflected in other studies, which showed an overall uptick in use of telehealth for contraceptive care during the pandemic. 12,14
To our knowledge, few studies have compared the differences in populations accessing in-person versus telehealth contraceptive care after the height of the pandemic once both in-person and telehealth care were available to patients. Our study sought to understand if specific patient characteristics impact the type of contraceptive care patients utilized at an urban tertiary care center in New England during a postpandemic time period. Prior studies have shown that patients who are of lower socioeconomic status, publicly insured, non-English speaking, and/or belong to a minority racial group use telemedicine less. 15 –17 We therefore hypothesized that telehealth users at our institution were more likely to be non-Hispanic White and privately insured patients. As prior studies have demonstrated the strength of telehealth as a counseling tool, we hypothesized that telehealth may be employed primarily for counseling. Subsequently, when compared with their in-person counterparts, we hypothesized that patients who have telehealth visits would be less likely to leave with contraception. 18 –20
Methods
We conducted a retrospective, cohort study to identify factors associated with telehealth contraceptive care for patients at Beth Israel Deaconess Medical Center (BIDMC), an urban, academic health center in Boston, Massachusetts. This study was reviewed and approved by the BIDMC Institutional Review Board.
At the time of the study, the institution utilized a unique electronic health record for outpatient care called Online Medical Record (OMR). The OMR includes a virtual visit platform that allows for video and telephone visits with patients. We reviewed patient encounters that occurred at BIDMC between January 1, 2021, and December 31, 2021. Early in this time period, most state-mandated COVID restrictions ended and most institutions resumed the bulk of their services. Billing diagnosis and procedure codes related to contraception surveillance, management, placement, or prescription were used to identify a total of 1,691 patient encounters during this time period. Telehealth and in-person visits were distinguished by billing codes. Patients were included in this sample if they were ages 18–54 and had at least one telehealth or in-person contraceptive visit.
A retrospective chart review of 1435 unique patient charts was then completed. We abstracted demographic data from patient records including patient reported race/ethnicity, primary language, insurance type, and marital status. For visits where contraception was prescribed, we extracted the contraceptive type. Patients who had multiple visits in the selected time frame were only accounted for once in the compilation of patient demographics. The data were entered into the secure research electronic data capture system (REDCap).
Statistical analyses
Our primary outcome of interest was the visit type; telehealth visit versus in-person visit. Our exposures of interest included age, race/ethnicity, marital status (married or not married), language, and insurance type (private insurance or public insurance). We present data as risk ratios in Table 2. For patients who had multiple visits, demographic data was only included once. We used log-binomial regression to calculate risk ratios (RR) and 95% confidence intervals (CI). Adjusted risk ratios (aRR) presented in Table 2 account for race, age, marital status, language, and insurance. We conducted a unique patient-level analysis where only an individual patient’s first visit was analyzed. In doing so, we hoped to stay true to the assumptions required for a logistic regression analysis, specifically that each observation is independent. Use of the first visit only was felt to be a more accurate reflection of patient choice prior to discussions with a clinician.
Patient Demographics by Visit Type
Data presented as n (%).
Log-Binomial Regression Analysis of Visit Type and Patient Demographics
Type of visit comparison: In-person only.
RR: risk ratio; CI: confidence interval.
Adjusted for: race, age, marital status, language, insurance.
We also assessed whether or not patients left their visits with contraception. In an effort to understand differences by visit type, we then analyzed the contraceptive methods prescribed for those who did receive contraception. This data is presented in Table 3. All analyses were performed using SAS 9.4 (SAS Institute, Cary, NC).
Contraception Prescribed by Visit Type
Data presented as n (%).
1,423 total in-person visits by 1,186 patients.
268 total telehealth visits by 249 patients.
Results
A total of 1,435 unique patients with 1,691 individual clinical encounters were included in our final analysis. There were 1,423 in-person visits (83%) made by 1,186 patients and 268 telehealth visits (16%) made by 249 patients. Table 1 illustrates patient demographics for both cohorts. Both groups are well matched in terms of age and race. Patients aged 25–34 comprised the largest age group (47% for in-person visits and telehealth visits), single (68% vs. 74%, respectively), non-Hispanic White (46% vs. 45%), English speaking (94% in both cohorts), and privately insured (67% vs. 75%).
In an unadjusted analysis, there were statistically significant differences between the telehealth cohort and the in-person cohort based on age, marital status, and insurance status. Table 2 presents the risk of a telehealth versus an in-person visit based on these demographics. The crude risk ratios were then adjusted for by race, age, marital status, language, and insurance. Being 45 and older was associated with a lower likelihood of having a telehealth visit (aRR: 0.52, CI: 0.27–1.02), although this was not significant after adjusting for language, race, marital status and insurance status. Single patients were more likely to have telehealth visits (aRR: 1.57, CI: 1.06–2.32). Publicly insured patients were significantly less likely to access telehealth (aRR: 0.51, CI: 0.33–0.78). There were no statistically significant differences by race, ethnicity, or by language in both unadjusted and adjusted analyses.
A sub-analysis was completed to determine differences in the prescription of contraceptive methods by visit type (Table 3). A total of 1,423 in-person visits and 268 telehealth visits were analyzed. Of the patients who had in-person visits, 63% were provided some form of contraception. By comparison, only 56% of patients who had telehealth visits left with contraception. The remaining persons in each group either left with no contraception or received other care such as assessment of intrauterine device strings or scheduling of a follow up visit. Patients who received contraception at an in-person visit were most likely to be prescribed an intrauterine device (35%). Patients who had a telehealth visit were more likely to be prescribed oral contraceptives (37%).
Discussion
We explored differences in patient demographics for contraceptive visit types in a postpandemic time period. We found less use of telehealth among patients who are publicly insured. This finding is consistent with studies completed in other regions of the United States, which have found that telehealth users tend to be urban dwellers of higher socioeconomic classes. 14 –16 Similarly, prior studies have found decreased use of telemedicine among publicly insured or underinsured patients. 14,15 It is crucial to contextualize our findings within the framework of our healthcare institution and the demographic landscape it serves. Recent insights from a report by Blue Cross Blue Shield of Massachusetts underscore the significant proportion of Massachusetts residents, approximately one in three, who are insured through MassHealth, the state health care public insurance program. 21 Notably, this report highlighted that over 57% of MassHealth beneficiaries represent historically marginalized communities based on race, socioeconomic status, and disability. It is therefore highly probable that a substantial segment of our patient cohort identifying as publicly insured may fall within these marginalized demographics.
Prior studies in contraceptive care have consistently indicated a pronounced disparity wherein non-White patients exhibit significantly lower rates of receiving contraceptive care through telehealth, despite the recent rapid expansion of these services. 17,18 Other researchers have stipulated that factors, including language and access to technology, continue to limit use of telemedicine for marginalized, non-English speaking populations. 19 –21 Our findings in this regard present an interesting deviation as we found no significant discrepancy in telehealth utilization based on race or language within our cohorts. Due to relatively small numbers of non-English speaking patients, we may have been underpowered to detect a difference between the groups. We did find decreased use of telehealth among older patients, which aligns with prior studies and could be attributed to decreased demand for contraceptive care as patients surpass their reproductive years. Our study also found that, when compared with outcomes after in-person visits, patients are less likely to be provided contraception after a telehealth visit. While this may seem to represent a negative finding, it might instead reflect the use of telehealth contraceptive visits for counseling and patient education, which has been shown to be a positive experience for patients. 18 With more access to contraceptive information through telehealth visits, patients may be able to make more informed, individualized choices for their reproductive health.
With regard to limitations of this study, this is a retrospective cohort study with data collected from chart review during a limited time period. There are variations in how and if information is recorded in the electronic health record. There are some variables such as household income or education level, which were unmeasured due to lack of availability. In addition, this was a single center study with a predominantly non-Hispanic English-speaking patient population, which may limit its generalizability.
Despite these limitations, our study contributes to the discourse surrounding the demographic patterns that might influence patient utilization of telehealth for contraceptive care. The observed lower prevalence among publicly insured individuals, despite the absence of significant differences by race or language in our specific cohort, underscores the complexities in understanding and addressing barriers to telehealth adoption among diverse patient populations. A recent pilot randomized control trial by Freeman et al. found no difference in interpersonal quality of contraceptive counseling for telehealth versus in person visits. 22 This study also found high, equivalent interpersonal quality scores for telehealth video and phone visits. This brings into question why telehealth is not more utilized in this space. While this question is a nuanced one with a complex answer, future research endeavors should continue to delve deeper into the multifaceted factors affecting telehealth utilization to facilitate more equitable access for all patients.
Attestation Statement
Data regarding any of the subjects in the study have not been previously published. The data underlying this article are available within the article and additional information will be shared upon reasonable request to the corresponding author.
Footnotes
Author Disclosure Statement
None of the listed authors have anything to disclose.
Funding Information
This research received funding from the Society of Family Planning Research Fund and the Bayer Women’s Healthcare Contraception Equity in Telehealth partnership.
