Telehealth for Women's Preventive Services for Reproductive Health and Intimate Partner Violence: a Comparative Effectiveness Review.

BACKGROUND: Telehealth delivery of preventive health services may improve access to care; however, its effectiveness and adverse effects are unknown. We conducted a comparative effectiveness review on the effectiveness and harms of telehealth interventions for women's reproductive health and intimate partner violence (IPV) services. METHODS: We searched MEDLINE, Cochrane Library, CINAHL, and Scopus for English-language studies (July 2016 to May 2022) for randomized controlled trials (RCTs) and observational studies of telehealth strategies for women's reproductive health and IPV versus usual care. Two investigators identified studies and abstracted data using a predefined protocol. Study quality was assessed using study design-specific standardized methods; disagreements were resolved through consensus. RESULTS: Eight RCTs, 1 nonrandomized trial, and 7 observational studies (n=10 731) were included (7 studies of contraceptive care and 9 of IPV services). Telehealth interventions to supplement contraceptive care demonstrated similar rates as usual care for contraceptive use, sexually transmitted infections, and pregnancy (low strength of evidence [SOE]); evidence on abortion was insufficient. Outcomes were also similar between telehealth interventions to replace or supplement IPV services and comparators for repeat IPV, depression, posttraumatic stress disorder, fear of partner, coercive control, self-efficacy, and safety behaviors (low SOE). In these studies, telehealth barriers included limited internet access, digital literacy, technical challenges, and confidentiality concerns. Strategies to ensure safety increased telehealth use for IPV services. Evidence on access, health equity, or harms was lacking. DISCUSSION: Telehealth interventions for contraceptive care and IPV services demonstrate equivalent clinical and patient-reported outcomes versus in-person care, although few studies are available. Effective approaches for delivering these services and how to best mobilize telehealth, particularly for women facing barriers to care remain uncertain. TRIAL REGISTRATION: PROSPERO CRD42021282298.

A framework for measuring the cost to families of caring for children's health: the design, methodology, and study population of the r-Kids study.

BACKGROUND: All families experience financial and time costs related to caring for their children's health. Understanding the economic burden faced by families of children with chronic health conditions (CHC) is crucial for designing effective policies to support families. METHODS: In this prospective study we used electronic health records to identify children between 3 and 17 years old with autism spectrum disorder (ASD), asthma, or neither (control) from three Kaiser Permanente regions and several community health centers in the OCHIN network. We oversampled children from racial and ethnic minority groups. Parent/guardian respondents completed surveys three times, approximately four months apart. The surveys included the Family Economic Impact Inventory (measuring financial, time, and employment costs of caring for a child's health), and standardized measures of children's quality of life, behavioral problems, and symptom severity for children with ASD or asthma. We also assessed parenting stress and parent physical and mental health. All materials were provided in English and Spanish. RESULTS: Of the 1,461 families that enrolled (564 ASD, 468 asthma, 429 control), children were predominantly male (79%), with a mean age of 9.0 years, and racially and ethnically diverse (43% non-Hispanic white; 22% Hispanic; 35% Asian, Black, Native Hawaiian, or another race/ethnicity). The majority of survey respondents were female (86%), had a college degree (62%), and were married/partnered (79%). ASD group respondents were less likely to be employed (73%) than those in the asthma or control groups (both 80%; p = .023). Only 32% of the control group reported a household income ≤ $4,000/month compared with 41% of asthma and 38% of ASD families (p = .006). CONCLUSIONS: Utilizing a novel measure assessing family economic burden, we successfully collected survey responses from a large and diverse sample of families. Drawing upon the conceptual framework, survey measures, and self-report data described herein we will conduct future analyses to examine the economic burdens related to CHC and the incremental differences in these burdens between health groups. This information will help policy makers to design more equitable health and social policies that could reduce the burden on families.

Patient-level factors associated with receipt of preventive care in the safety net.

Prevention is critical to optimizing health, yet most people do not receive all recommended preventive services. As the complexity of preventive recommendations increases, there is a need for new measurements to capture the degree to which a person is up to date, and identify individual-level barriers and facilitators to receiving needed preventive care. We used electronic health record data from a national network of community health centers (CHCs) in the United States (US) during 2014-2017 to measure patient-level up-to-date status with preventive ratios (measuring up-to-date person-time denoted as a percent) for 12 preventive services and an aggregate preventive index. We use negative binomial regression to identify factors associated with up-to-date preventive care. We assessed 267,767 patients across 165 primary care clinics. Mean preventive ratios ranged from 8.7% for Hepatitis C screening to 83.3% for blood pressure screening. The mean aggregate preventive index was 43%. Lack of health insurance, smoking, and homelessness were associated with lower preventive ratios for most cancer and cardiovascular screenings (p < 0.05). Having more ambulatory visits, better continuity of care, and enrollment in the patient portal were positively associated with the aggregate preventive index (p < 0.05) and higher preventive ratios for all services (p < 0.05) except chlamydia and HIV screening. Overall, receipt of preventive services was low. CHC patients experience many barriers to receiving needed preventive care, but certain healthcare behaviors - regular visits, usual provider continuity, and patient portal enrollment - were consistently associated with more up-to-date preventive care. These associations should inform future efforts to improve preventive care delivery.

Effectiveness of an insurance enrollment support tool on insurance rates and cancer prevention in community health centers: a quasi-experimental study.

BACKGROUND: Following the ACA, millions of people gained Medicaid insurance. Most electronic health record (EHR) tools to date provide clinical-decision support and tracking of clinical biomarkers, we developed an EHR tool to support community health center (CHC) staff in assisting patients with health insurance enrollment documents and tracking insurance application steps. The objective of this study was to test the effectiveness of the health insurance support tool in (1) assisting uninsured patients gaining insurance coverage, (2) ensuring insurance continuity for patients with Medicaid insurance (preventing coverage gaps between visits); and (3) improving receipt of cancer preventive care. METHODS: In this quasi-experimental study, twenty-three clinics received the intervention (EHR-based insurance support tool) and were matched to 23 comparison clinics. CHCs were recruited from the OCHIN network. EHR data were linked to Medicaid enrollment data. The primary outcomes were rates of uninsured and Medicaid visits. The secondary outcomes were receipt of recommended breast, cervical, and colorectal cancer screenings. A comparative interrupted time-series using Poisson generalized estimated equation (GEE) modeling was performed to evaluate the effectiveness of the EHR-based tool on the primary and secondary outcomes. RESULTS: Immediately following implementation of the enrollment tool, the uninsured visit rate decreased by 21.0% (Adjusted Rate Ratio [RR] = 0.790, 95% CI = 0.621-1.005, p = .055) while Medicaid-insured visits increased by 4.5% (ARR = 1.045, 95% CI = 1.013-1.079) in the intervention group relative to comparison group. Cervical cancer preventive ratio increased 5.0% (ARR = 1.050, 95% CI = 1.009-1.093) immediately following implementation of the enrollment tool in the intervention group relative to comparison group. Among patients with a tool use, 81% were enrolled in Medicaid 12 months after tool use. For the 19% who were never enrolled in Medicaid following tool use, most were uninsured (44%) at the time of tool use. CONCLUSIONS: A health insurance support tool embedded within the EHR can effectively support clinic staff in assisting patients in maintaining their Medicaid coverage. Such tools may also have an indirect impact on evidence-based practice interventions, such as cancer screening. TRIAL REGISTRATION: This study was retrospectively registered on February 4th, 2015 with Clinicaltrials.gov (#NCT02355262). The registry record can be found at https://www.clinicaltrials.gov/ct2/show/NCT02355262 .

Implementation and adoption of a health insurance support tool in the electronic health record: a mixed methods analysis within a randomized trial.

BACKGROUND: In addition to delivering vital health care to millions of patients in the United States, community health centers (CHCs) provide needed health insurance outreach and enrollment support to their communities. We developed a health insurance enrollment tracking tool integrated within the electronic health record (EHR) and conducted a hybrid implementation-effectiveness trial in a CHC-based research network to assess tool adoption using two implementation strategies. METHODS: CHCs were recruited from the OCHIN practice-based research network. Seven health center systems (23 CHC clinic sites) were recruited and randomized to receive basic educational materials alone (Arm 1), or these materials plus facilitation (Arm 2) during the 18-month study period, September 2016-April 2018. Facilitation consisted of monthly contacts with clinic staff and utilized audit and feedback and guided improvement cycles. We measured total and monthly tool utilization from the EHR. We conducted structured interviews of CHC staff to assess factors associated with tool utilization. Qualitative data were analyzed using an immersion-crystallization approach with barriers and facilitators identified using the Consolidated Framework for Implementation Research. RESULTS: The majority of CHCs in both study arms adopted the enrollment tool. The rate of tool utilization was, on average, higher in Arm 2 compared to Arm 1 (20.0% versus 4.7%, p < 0.01). However, by the end of the study period, the rate of tool utilization was similar in both arms; and observed between-arm differences in tool utilization were largely driven by a single, large health center in Arm 2. Perceived relative advantage of the tool was the key factor identified by clinic staff as driving tool utilization. Implementation climate and leadership engagement were also associated with tool utilization. CONCLUSIONS: Using basic education materials and low-intensity facilitation, CHCs quickly adopted an EHR-based tool to support critical outreach and enrollment activities aimed at improving access to health insurance in their communities. Though facilitation carried some benefit, a CHC's perceived relative advantage of the tool was the primary driver of decisions to implement the tool. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02355262, Posted February 4, 2015.

Following Uninsured Patients Through Medicaid Expansion: Ambulatory Care Use and Diagnosed Conditions.

PURPOSE: The Patient Protection and Affordable Care Act (ACA) has improved access to health insurance, yet millions remain uninsured. Many patients who remain uninsured access care at community health centers (CHCs); however, little is known about their health conditions and health care use. We assessed ambulatory care use and diagnosed health conditions among a cohort of CHC patients uninsured before enactment of the ACA (pre-ACA: January 1, 2012 to December 31, 2013) and followed them after enactment (post-ACA: January 1, 2014 to December 31, 2015). METHODS: This retrospective cohort analysis used electronic health record data from CHCs in 11 US states that expanded Medicaid eligibility. We assessed ambulatory care visits and documented health conditions among a cohort of 138,246 patients (aged 19 to 64 years) who were uninsured pre-ACA and either remained uninsured, gained Medicaid, gained other health insurance, or did not have a visit post-ACA. We estimated adjusted predicted probabilities of ambulatory care use using an ordinal logistic mixed-effects regression model. RESULTS: Post-ACA, 20.9% of patients remained uninsured, 15.0% gained Medicaid, 12.4% gained other insurance, and 51.7% did not have a visit. The majority of patients had ≥1 diagnosed health condition. The adjusted proportion of patients with high use (≥6 visits over 2 years) increased from pre-ACA to post-ACA among those who gained Medicaid (pre-ACA: 23%, post-ACA: 34%, P <.001) or gained other insurance (pre-ACA: 29%, post-ACA: 48%, P <.001), whereas the percentage fell slightly for those continuously uninsured. CONCLUSIONS: A significant percentage of CHC patients remained uninsured; many who remained uninsured had diagnosed health conditions, and one-half continued to have ≥3 visits to CHCs. CHCs continue to be essential providers for uninsured patients.

Study protocol: a mixed-methods study of women's healthcare in the safety net after Affordable Care Act implementation - EVERYWOMAN.

BACKGROUND: Evidence-based reproductive care reduces morbidity and mortality for women and their children, decreases health disparities and saves money. Community health centres (CHCs) are a key point of access to reproductive and primary care services for women who are publicly insured, uninsured or unable to pay for care. Women of reproductive age (15-44 years) comprise just of a quarter (26%) of the total CHC patient population, with higher than average proportions of women of colour, women with lower income and educational status and social challenges (e.g. housing). Such factors are associated with poorer reproductive health outcomes across contraceptive, preventive and pregnancy-related services. The Affordable Care Act (ACA) prioritised reproductive health as an essential component of women's preventive services to counter these barriers and increase women's access to care. In 2012, the United States Supreme Court ruled ACA implementation through Medicaid expansion as optional, creating a natural experiment to measure the ACA's impact on women's reproductive care delivery and health outcomes. METHODS: This paper describes a 5-year, mixed-methods study comparing women's contraceptive, preventive, prenatal and postpartum care before and after ACA implementation and between Medicaid expansion and non-expansion states. Quantitative assessment will leverage electronic health record data from the ADVANCE Clinical Research Network, a network of over 130 CHCs in 24 states, to describe care and identify patient, practice and state-level factors associated with provision of recommended evidence-based care. Qualitative assessment will include patient, provider and practice level interviews to understand perceptions and utilisation of reproductive healthcare in CHC settings. DISCUSSION: To our knowledge, this will be the first study using patient level electronic health record data from multiple states to assess the impact of ACA implementation in conjunction with other practice and policy level factors such as Title X funding or 1115 Medicaid waivers. Findings will be relevant to policy and practice, informing efforts to enhance the provision of timely, evidence-based reproductive care, improve health outcomes and reduce disparities among women. Patient, provider and practice-level interviews will serve to contextualise our findings and develop subsequent studies and interventions to support women's healthcare provision in CHC settings.

Role of Race/Ethnicity, Language, and Insurance in Use of Cervical Cancer Prevention Services Among Low-Income Hispanic Women, 2009-2013.

INTRODUCTION: Hispanic women in the United States have an elevated risk of cervical cancer, but the existing literature does not reveal why this disparity persists. METHODS: We performed a retrospective cohort analysis of 17,828 low-income women aged 21 to 64 years seeking care at Oregon community health centers served by a hosted, linked electronic health record during 2009 through 2013. We assessed the odds of having had Papanicolaou (Pap) tests and receiving human papillomavirus (HPV) vaccine, by race/ethnicity, insurance status, and language. RESULTS: Hispanic women, regardless of pregnancy status or insurance, had greater odds of having had Pap tests than non-Hispanic white women during the study period. English-preferring Hispanic women had higher odds of having had Pap tests than Spanish-preferring Hispanic women (OR, 2.08; 95% confidence interval [CI], 1.63-2.66) but lower odds of having received HPV vaccination (OR, 0.21; 95% CI, 0.12-0.38). Uninsured patients, regardless of race/ethnicity, had lower odds of HPV vaccine initiation than insured patients did. Once a single dose was received, there were no significant racial/ethnic differences in vaccine series completion. CONCLUSION: In this sample of low-income women seeking care at Oregon community health centers, we found minimal racial/ethnic disparities in the receipt of cervical cancer prevention services. Inequities by insurance status, especially in the receipt of HPV vaccine, persist. Community health center-based care may be a useful model to address racial/ethnic disparities in prevention, but this model would need further population-wide study.

Medicaid's Impact on Chronic Disease Biomarkers: A Cohort Study of Community Health Center Patients.

BACKGROUND: Understanding the impact of health insurance is critical, particularly in the era of Affordable Care Act Medicaid expansion. The electronic health record (EHR) provides new opportunities to quantify health outcomes. OBJECTIVE: To assess changes in biomarkers of chronic disease among community health center (CHC) patients who gained Medicaid coverage with the Oregon Medicaid expansion (2008-2011). DESIGN: Prospective cohort. Patients were followed for 24 months, and rate of mean biomarker change was calculated. Time to a controlled follow-up measurement was compared using Cox regression models. SETTING/PATIENTS: Using EHR data from OCHIN (a non-profit network of CHCs) linked to state Medicaid data, we identified three cohorts of patients with uncontrolled chronic conditions (diabetes, hypertension, and hyperlipidemia). Within these cohorts, we included patients who gained Medicaid coverage along with a propensity score-matched comparison group who remained uninsured (diabetes n = 608; hypertension n = 1244; hyperlipidemia n = 546). MAIN MEASURES: Hemoglobin A1c (HbA1c) for the diabetes cohort, systolic and diastolic blood pressure (SBP and DBP, respectively) for the hypertension cohort, and low-density lipoprotein (LDL) for the hyperlipidemia cohort. KEY RESULTS: All cohorts improved over time. Compared to matched uninsured patients, adults in the diabetes and hypertension cohorts who gained Medicaid coverage were significantly more likely to have a follow-up controlled measurement (hazard ratio [HR] =1.26, p = 0.020; HR = 1.35, p < 0.001, respectively). No significant difference was observed in the hyperlipidemia cohort (HR = 1.09, p = 0.392). CONCLUSIONS: OCHIN patients with uncontrolled chronic conditions experienced objective health improvements over time. In two of three chronic disease cohorts, those who gained Medicaid coverage were more likely to achieve a controlled measurement than those who remained uninsured. These findings demonstrate the effective care provided by CHCs and the importance of health insurance coverage within a usual source of care setting. CLINICAL TRIALS REGISTRATION: NCT02355132 [ https://clinicaltrials.gov/ct2/show/NCT02355132 ].

Health Care Utilization Rates After Oregon's 2008 Medicaid Expansion: Within-Group and Between-Group Differences Over Time Among New, Returning, and Continuously Insured Enrollees.

BACKGROUND: Although past research demonstrated that Medicaid expansions were associated with increased emergency department (ED) and primary care (PC) utilization, little is known about how long this increased utilization persists or whether postcoverage utilization is affected by prior insurance status. OBJECTIVES: (1) To assess changes in ED, PC, mental and behavioral health care, and specialist care visit rates among individuals gaining Medicaid over 24 months postinsurance gain; and (2) to evaluate the association of previous insurance with utilization. METHODS: Using claims data, we conducted a retrospective cohort analysis of adults insured for 24 months following Oregon's 2008 Medicaid expansion. Utilization rates among 1124 new and 1587 returning enrollees were compared with those among 5126 enrollees with continuous Medicaid coverage (≥1 y preexpansion). Visit rates were adjusted for propensity score classes and geographic region. RESULTS: PC visit rates in both newly and returning insured individuals significantly exceeded those in the continuously insured in months 4 through 12, but were not significantly elevated in the second year. In contrast, ED utilization rates were significantly higher in returning insured compared with newly or continuously insured individuals and remained elevated over time. New visits to PC and specialist care were higher among those who gained Medicaid compared with the continuously insured throughout the study period. CONCLUSIONS: Predicting the effect of insurance expansion on health care utilization should account for the prior coverage history of new enrollees. In addition, utilization of outpatient services changes with time after insurance, so expansion evaluations should allow for rate stabilization.

Effect of Gaining Insurance Coverage on Smoking Cessation in Community Health Centers: A Cohort Study.

BACKGROUND: Community health center (CHC) patients have high rates of smoking. Insurance coverage for smoking cessation assistance, such as that mandated by the Affordable Care Act, may aid in smoking cessation in this vulnerable population. OBJECTIVE: We aimed to determine if uninsured CHC patients who gain Medicaid coverage experience greater primary care utilization, receive more cessation medication orders, and achieve higher quit rates, compared to continuously uninsured smokers. DESIGN: Longitudinal observational cohort study using electronic health record data from a network of Oregon CHCs linked to Oregon Medicaid enrollment data. PATIENTS: Cohort of patients who smoke and who gained Medicaid coverage in 2008-2011 after ≥ 6 months of being uninsured and with ≥ 1 smoking assessment in the 24-month follow-up period from the baseline smoking status date. This group was propensity score matched to a cohort of continuously uninsured CHC patients who smoke (n = 4140 matched pairs; 8280 patients). INTERVENTION: Gaining Medicaid after being uninsured for ≥ 6 months. MAIN MEASURES: 'Quit' smoking status (baseline smoking status was 'current every day' or 'some day' and status change to 'former smoker' at a subsequent visit), smoking cessation medication order, and ≥ 6 documented visits (yes/no variables) at ≥ 1 smoking status assessment within the 24-month follow-up period. KEY RESULTS: The newly insured had 40 % increased odds of quitting smoking (aOR = 1.40, 95 % CI:1.24, 1.58), nearly triple the odds of having a medication ordered (aOR = 2.94, 95 % CI:2.61, 3.32), and over twice the odds of having ≥ 6 follow-up visits (aOR = 2.12, 95 % CI:1.94, 2.32) compared to their uninsured counterparts. CONCLUSIONS: Newly insured patients had increased odds of quit smoking status over 24 months of follow-up than those who remained uninsured. Providing insurance coverage to vulnerable populations may have a significant impact on smoking cessation.

Community Health Center Utilization Following the 2008 Medicaid Expansion in Oregon: Implications for the Affordable Care Act.

OBJECTIVES: To assess longitudinal patterns of community health center (CHC) utilization and the effect of insurance discontinuity after Oregon's 2008 Medicaid expansion (the Oregon Experiment). METHODS: We conducted a retrospective cohort study with electronic health records and Medicaid data. We divided individuals who gained Medicaid in the Oregon Experiment into those who maintained (n = 788) or lost (n = 944) insurance coverage. We compared these groups with continuously insured (n = 921) and continuously uninsured (n = 5416) reference groups for community health center utilization rates over a 36-month period. RESULTS: Both newly insured groups increased utilization in the first 6 months. After 6 months, use among those who maintained coverage stabilized at a level consistent with the continuously insured, whereas it returned to baseline for those who lost coverage. CONCLUSIONS: Individuals who maintained coverage through Oregon's Medicaid expansion increased long-term utilization of CHCs, whereas those with unstable coverage did not. POLICY IMPLICATIONS: This study predicts long-term increase in CHC utilization following Affordable Care Act Medicaid expansion and emphasizes the need for policies that support insurance retention.

Primary Care and Community-Based Partnerships to Enhance HPV Vaccine Delivery.

INTRODUCTION/OBJECTIVES: With growing vaccination misinformation and mistrust, strategies to improve vaccination communication across community-based settings are needed. METHODS: The Rural Adolescent Vaccine Enterprise (RAVE), a 5-year (2018-2022) stepped-wedge cluster randomized study, tested a clinic-based practice facilitation intervention designed to improve HPV vaccination. An exploratory aim sought to explore the use of partnerships between primary care clinics and a community partner of their choosing, to implement a social marketing campaign related to HPV immunization. We assessed perceptions about the value and success of the partnership, and barriers and facilitators to its implementation using a 29-item community partner survey, key informant interviews, and field notes from practice facilitators. RESULTS: Of the initial 45 clinics participating in RAVE, 9 were unable to either start or complete the study, and 36 participants (80.0%) were actively engaged. Of these, 16/36 clinics (44.4%) reported establishing successful partnerships, 10 reported attempting to develop partnerships (27.8%), and another 10 reported not developing a partnership (27.8%), which were often caused by the COVID-19 pandemic. The most common partnership was with public health departments at 27.3%. Other partnerships involved libraries, school districts, and local businesses. More than half (63.7%) reported that creating messages regarding getting HPV vaccination was moderately to very challenging. Just under half reported (45.5%) that messaging was hard because of a lack of understanding about the seriousness of diseases caused by HPV, parents being against vaccines because of safety concerns, and religious values that result in a lack of openness to HPV vaccines. Community partners' health priorities changed as a result of RAVE, with 80% prioritizing childhood immunizations as a result of the RAVE partnership. CONCLUSIONS: Community groups want to partner with primary care organizations to serve their patients and populations. More research is needed on how best to bring these groups together.

An Exploratory Study of Rural Parents' Knowledge and Attitudes About HPV Vaccination Following a Healthcare Visit With Their Child's Primary Care Provider.

INTRODUCTION/OBJECTIVES: Annually, HPV infections result in $775 million in direct medical costs and approximately 46 000 new cases of HPV-associated cancers. Safe and highly effective vaccines have been available to prevent HPV for children/adolescents since 2006. Vaccination rates remain low, especially in rural areas. Parental attitudes and beliefs affect HPV vaccination rates. METHODS: We developed, tested, and administered a survey that asked how parents and healthcare providers interacted about the HPV vaccine following a healthcare visit with an age-eligible child, as part of a multicomponent randomized controlled trial designed to improve HPV vaccination rates in rural Oregon. The 21-item survey assessed parents' information-seeking behavior, knowledge about HPV cancer risk reduction, the HPV vaccine series, and their vaccine confidence. RESULTS: Forty-three participants (59.7%) were in the intervention group; 29 (40.3%) were controls. Over 90% of healthcare visits were illness, injury, sports physical, or well-child visits (n = 67 or 93.1%), and 6.9% of visits were vaccine-specific. No statistically significant differences were found between study groups for healthcare visits. Over half the parents reported having discussions about HPV and the HPV vaccine (54.5%) with their care providers, 31.3% had recently learned about HPV, HPV risks, and the HPV vaccine prior to the visit, 83.1% were knowledgeable about cancers associated with HPV, and 79.2% were considering vaccinating their child(ren), which did not differ between study groups. CONCLUSIONS: Knowledge about HPV-related cancers and consideration for vaccinating children was higher than expected, but not associated with the intervention tested.

Impact of the COVID-19 vaccination mandate on the primary care workforce and differences between rural and urban settings to inform future policy decision-making.

INTRODUCTION: Little is known about the impact of mandated vaccination policies on the primary care clinic workforce in the United States or differences between rural and urban settings, especially for COVID-19. With the continued pandemic and an anticipated increase in novel disease outbreaks and emerging vaccines, healthcare systems need additional information on how vaccine mandates impact the healthcare workforce to aid in future decision-making. METHODS: We conducted a cross-sectional survey of Oregon primary care clinic staff between October 28, 2021- November 18, 2021, following implementation of a COVID-19 vaccination mandate for healthcare personnel. The survey consisted of 19 questions that assessed the clinic-level impacts of the vaccination mandate. Outcomes included job loss among staff, receipt of an approved vaccination waiver, new vaccination among staff, and the perceived significance of the policy on clinic staffing. We used univariable descriptive statistics to compare outcomes between rural and urban clinics. The survey also included three open-ended questions that were analyzed using a template analysis approach. RESULTS: Staff from 80 clinics across 28 counties completed surveys, representing 38 rural and 42 urban clinics. Clinics reported job loss (46%), use of vaccination waivers (51%), and newly vaccinated staff (60%). Significantly more rural clinics (compared to urban) utilized medical and/or religious vaccination waivers (71% vs 33%, p = 0.04) and reported significant impact on clinic staffing (45% vs 21%, p = 0.048). There was also a non-significant trend toward more job loss for rural compared to urban clinics (53% vs. 41%, p = 0.547). Qualitative analysis highlighted a decline in clinic morale, small but meaningful detriments to patient care, and mixed opinions of the vaccination mandate. CONCLUSIONS: Oregon's COVID-19 vaccination mandate increased healthcare personnel vaccination rates, yet amplified staffing challenges with disproportionate impacts in rural areas. Staffing impacts in primary care clinics were greater than reported previously in hospital settings and with other vaccination mandates. Mitigating primary care staffing impacts, particularly in rural areas, will be critical in response to the continued pandemic and novel viruses in the future.

Clinic-level differences in human papillomavirus vaccination rates among rural and urban Oregon primary care clinics.

PURPOSE: Human papillomavirus (HPV) infection contributes to vaccine-preventable malignancies. Rural populations experience lower HPV vaccination rates despite similar rates of other childhood vaccinations. Individual- and clinic-level characteristics likely contribute to this disparity, but little is known about the separate roles of each. We compared clinic-level HPV vaccination rates among rural versus urban primary care clinics, identified factors associated with HPV vaccination, and separately assessed the impact of individual- and clinic-level characteristics on rural disparities in HPV vaccination. METHODS: This cross-sectional study included 537 Oregon primary care clinics participating in the Vaccines for Children (VFC) program during 2019. Vaccination status was assessed using Oregon's ALERT Immunization Information System and included HPV vaccine ≥ 1 dose for ages 11 and 12; HPV vaccination up to date (UTD) for ages 13-17, and coadministration with tetanus, diphtheria, and acellular pertussis (Tdap). Rural versus urban clinic-level outcomes were assessed using negative binomial regression. FINDINGS: Participating clinics were 24.5% rural and 75.6% urban. Family medicine clinics comprised 71.1%; pediatrics, 16.9%; and mixed, 12.1%. Across clinics, the average proportion of patients qualifying for VFC was 43%, and non-White patients were 14.1%. The mean rate of HPV vaccine ≥1 dose was lower among rural clinics (46.9% vs 51.1%, P = .039), as was vaccination UTD (40.5% vs 49.9%, P < .001). Adjusting for differences in individual- and clinic-level characteristics, rural disparities were no longer statistically significant. CONCLUSIONS: Both individual- and clinic-level characteristics play a role in rural disparities in HPV vaccination, and modifiable clinic-level differences may be opportune targets to address these disparities.

A comparison of electronic health records and the Oregon state immunization registry for human papilloma virus vaccine delivery (2005-2022).

INTRODUCTION: Immunization Information Systems (IIS) play an important information-sharing role at the point of care, and provide vital vaccination data for research studies and policy-makers. Previous validation studies comparing the accuracy of state registry data to health records have had mixed results. METHODS: We conducted a retrospective review of EHR vaccination data for 9-17 year-old patients from 10 Oregon primary care clinics who had at least one ambulatory care visit in the past 3 years from the date of validation data collection. Data on 100 age eligible youth were captured per clinic. We compared HPV and Tdap vaccinations captured in the EHR to the Oregon ALERT IIS. All clinics were located in rural areas with both family medicine (n = 7) and pediatric (n = 3) primary care clinics. RESULTS: Overall agreement for HPV vaccination between EHR and ALERT IIS was 89.4 % (k = 0.83; p < 0.05). For Tdap vaccination overall agreement was 80.8 % (k = 0.60; p < 0.05). Pediatric clinics showed a higher overall vaccine agreement for both HPV at 93.3 % (k = 0.89; p < 0.05) and Tdap at 95.3 % (k = 0.90; p < 0.05). Among clinics that used bidirectional data exchange (only family medicine clinics), HPV agreement was higher at 91 % (k = 0.85) versus 88 % (k = 0.81; p < 0.05) and was lower for Tdap 75 % with bidirectional data exchange (k = 0.50) versus 86 % without bidirectional data exchange (k = 0.70; p < 0.05). When the EHR and ALERT IIS disagreed, ALERT ISS usually had additional vaccines. CONCLUSIONS: ALERT IIS data provides more accurate data than EHRs can provide when measuring vaccine delivery among adolescents in rural Oregon.

Landscape of Pregnancy Care in US Community Health Centers.

PURPOSE: Community health centers (CHCs) provide critical health care access for people who experience high risks during and after pregnancy, however it is unclear to what extent they provide prenatal care. This study seeks to describe clinic and patient characteristics associated with longitudinal prenatal care delivery in CHC settings. METHODS: This retrospective cohort study utilized electronic health record (EHR) data from the Accelerating Data Value Across a National Community Health Center Network (ADVANCE) between 2018 to 2019 to describe prenatal care provision among CHCs (n = 408), and pregnant CHC patients (n = 28,578) and compared characteristics of patients who received longitudinal prenatal care at CHCs versus those who did not. RESULTS: 41% of CHCs provided longitudinal prenatal care; these CHCs were more likely to be larger, have multidisciplinary teams, and serve higher proportions of nonwhite or non-English speaking patients. Patients who received longitudinal prenatal care at CHCs were racially and ethnically diverse and many had comorbidities. Patients who received longitudinal prenatal care at CHCs (compared with pregnant patients who did not) were more likely to be white or Latinx and more likely to have non-English language preference. CONCLUSIONS: Many CHCs in this national network provide prenatal care and serve pregnant patients at high risk of pregnancy-related complications, including people of color, those with low income, and those with comorbidities. CHCs provide critical access to care for vulnerable populations and will be an important partner in work addressing inequities in maternal morbidity and mortality.

The impact of autism spectrum disorder on parent employment: Results from the r-Kids study.

Parents of children with autism spectrum disorder (ASD) and other chronic health conditions often face exceptional caregiving demands that can lead to challenges related to maintaining and succeeding in employment. Detailed information on the specific ways in which these health conditions impact parent employment could aid in designing equitable, effective policies to support families. The r-Kids study used electronic health records to identify three groups of children: those with ASD, asthma, or neither condition (control), from several health care systems. We oversampled racial and ethnic minorities and matched the asthma and control groups to the age and sex distribution of the ASD group. Parents completed three online surveys over the course of a year to measure annual employment outcomes. Surveys included the Family Economic Impact Inventory (measuring employment impacts) and measures of quality of life and symptom severity. All materials were provided in English and Spanish. The study enrolled 1461 families (564 ASD, 468 asthma, 429 control). Youth were 3-16.5 years old and predominantly male (79%). The sample was diverse (43% non-Hispanic White; 35% non-Hispanic Asian, Black, Native Hawaiian, or Other; and 21% Hispanic ethnicity). Parents of children with ASD were significantly less likely to be employed than parents of youth with asthma and control combined (OR: 14.2, p < 0.001), and were more likely to have other difficulties with employment and productivity while at work. Public and employer policies to help mitigate these impacts could aid families in managing care for youth with ASD.