Pregnancy health in a multi-state U.S. population of systemically underserved patients and their children: PROMISE cohort design and baseline characteristics.

BACKGROUND: Gestational weight gain (GWG) is a routinely monitored aspect of pregnancy health, yet critical gaps remain about optimal GWG in pregnant people from socially marginalized groups, or with pre-pregnancy body mass index (BMI) in the lower or upper extremes. The PROMISE study aims to determine overall and trimester-specific GWG associated with the lowest risk of adverse birth outcomes and detrimental infant and child growth in these underrepresented subgroups. This paper presents methods used to construct the PROMISE cohort using electronic health record data from a network of community-based healthcare organizations and characterize the cohort with respect to baseline characteristics, longitudinal data availability, and GWG. METHODS: We developed an algorithm to identify and date pregnancies based on outpatient clinical data for patients 15 years or older. The cohort included pregnancies delivered in 2005-2020 with gestational age between 20 weeks, 0 days and 42 weeks, 6 days; and with known height and adequate weight measures needed to examine GWG patterns. We linked offspring data from birth records and clinical records. We defined study variables with attention to timing relative to pregnancy and clinical data collection processes. Descriptive analyses characterize the sociodemographic, baseline, and longitudinal data characteristics of the cohort, overall and within BMI categories. RESULTS: The cohort includes 77,599 pregnancies: 53% had incomes below the federal poverty level, 82% had public insurance, and the largest race and ethnicity groups were Hispanic (56%), non-Hispanic White (23%) and non-Hispanic Black (12%). Pre-pregnancy BMI groups included 2% underweight, 34% normal weight, 31% overweight, and 19%, 8%, and 5% Class I, II, and III obesity. Longitudinal data enable the calculation of trimester-specific GWG; e.g., a median of 2, 4, and 6 valid weight measures were available in the first, second, and third trimesters, respectively. Weekly rate of GWG was 0.00, 0.46, and 0.51 kg per week in the first, second, and third trimesters; differences in GWG between BMI groups were greatest in the second trimester. CONCLUSIONS: The PROMISE cohort enables characterization of GWG patterns and estimation of effects on child growth in underrepresented subgroups, ultimately improving the representativeness of GWG evidence and corresponding guidelines.

Impact of Healthcare Location Concordance on Receipt of Preventive Care Among Children Whose Parents have a Substance Use and/or Mental Health Diagnosis.

AIMS: Children of parents with substance use and/or other mental health (SU/MH) diagnoses are at increased risk for health problems. It is unknown whether these children benefit from receiving primary care at the same clinic as their parents. Thus, among children of parents with >1 SU/MH diagnosis, we examined the association of parent-child clinic concordance with rates of well-child checks (WCCs) and childhood vaccinations. DESIGN: Retrospective cohort study using electronic health record (EHR) data from the OCHIN network of community health organizations (CHOs), 2010-2018. Setting: 280 CHOs across 17 states. PARTICIPANTS/CASES: 41,413 parents with >1 SU/MH diagnosis, linked to 65,417 children aged 0 to 17 years, each with >1 visit to an OCHIN clinic during the study period. MEASUREMENTS: Dependent variables: rates of WCCs during (1) the first 15 months of life, and (2) ages 3 to 17 years; vaccine completeness (3) by the age of 2, and (4) before the age of 18. Estimates were attained using generalized estimating equations Poisson or logistic regression. FINDINGS: Among children utilizing the same clinic as their parent versus children using a different clinic (reference group), we observed greater WCC rates in the first 15 months of life [adjusted rate ratio (aRR) = 1.06; 95% confidence interval (CI) = 1.02-1.10]; no difference in WCC rates in ages 3 to 17; higher odds for vaccine completion before age 2 [adjusted odds ratio (aOR) = 1.12; 95% CI = 1.03-1.21]; and lower odds for vaccine completion before age 18 (aOR = 0.88; 95% CI = 0.81-0.95). CONCLUSION: Among children whose parents have at least one SU/MH diagnosis, parent-child clinic concordance was associated with greater rates of WCCs and higher odds of completed vaccinations for children in the youngest age groups, but not the older children. This suggests the need for greater emphasis on family-oriented healthcare for young children of parents with SU/MH diagnoses; this may be less important for older children.

Differences in up-to-date colorectal and cervical cancer screening rates by ethnicity and preferred language: An analysis across patient-, clinic-, and area-level data sources.

Research objective: There is interest in using clinic- and area-level data to inform cancer control, but it is unclear what value these sources may add in combination with patient-level data sources. This study aimed to investigate associations of up-to-date colorectal and cervical cancer screenings at community health centers (CHCs) with ethnicity and language variables at patient-, clinic-, and area-levels, while exploring whether patient-level associations differed based on clinic-level patient language and ethnicity distributions. Study design: This was a cross-sectional study using data from multiple sources, including electronic health records, clinic patient panel data, and area-level demographic data. The study sample included English-preferring Hispanic, Spanish-preferring Hispanic, English-preferring non-Hispanic, and non-English-preferring non-Hispanic patients eligible for either colorectal cancer (N = 98,985) or cervical cancer (N = 129,611) screenings in 2019 from 130 CHCs in the OCHIN network in CA, OR, and WA. Population studied: The study population consisted of adults aged 45+ eligible for colorectal cancer screening and adults with a cervix aged 25-65 eligible for cervical cancer screening. Principal findings: Spanish-preferring Hispanic patients were significantly more likely to be up-to-date with colorectal and cervical cancer screenings than other groups. Patients seen at clinics with higher concentrations of Spanish-preferring Hispanics were significantly more likely to be up-to-date, as were individuals residing in areas with higher percentages of Spanish-speaking residents. Differential associations between patient ethnicity and language and up-to-date colorectal cancer screenings were greater among patients seen at clinics with higher concentrations of Spanish-preferring Hispanics. Conclusions: The findings highlight that Spanish-speaking Hispanics seen in CHCs have higher rates of up-to-date cervical and colorectal cancer screenings than other groups and that this relationship is stronger at clinics with higher percentages of Spanish-preferring Hispanic patients. Our findings suggest area-level variables are not good substitutions for patient-level data, but variables at the clinic patient panel-level are more informative.

Insurance coverage and discontinuity during pregnancy: Frequency and associations documented in the PROMISE cohort.

OBJECTIVE: To describe insurance patterns and discontinuity during pregnancy, which may affect the experiences of the pregnant person: their timely access to care, continuity of care, and health outcomes. DATA SOURCES AND STUDY SETTING: Data are from the PROMISE study, which utilizes data from community-based health care organizations (CHCOs) (e.g., federally qualified health centers that serve patients regardless of insurance status or ability to pay) in the United States from 2005 to 2021. STUDY DESIGN: This descriptive study was a cohort utilizing longitudinal electronic health record data. DATA COLLECTION/EXTRACTION METHODS: Insurance type at each encounter was recorded in the clinical database and coded as Private, Public, and Uninsured. Pregnant people were categorized into one of several insurance patterns. We analyzed the frequency and timing of insurance changes and care utilization within each group. PRINCIPAL FINDINGS: Continuous public insurance was the most common insurance pattern (69.2%), followed by uninsured/public discontinuity (11.8%), with 6.4% experiencing uninsurance throughout the entirety of pregnancy. Insurance discontinuity was experienced by 16.6% of pregnant people; a majority of these reflect people transitioning to public insurance. Those with continuous public insurance had the highest frequency of inadequate prenatal care (19.5%), while those with all three types of insurance during pregnancy had the highest percentage of intensive prenatal care (16.5%). The majority (71.7%-81.2%) of those with a discontinuous pattern experienced a single insurance change. CONCLUSIONS: Insurance discontinuity and uninsurance are common within our population of pregnant people seeking care at CHCOs. Our findings suggest that insurance status should be regarded as a dynamic rather than a static characteristic during pregnancy and should be measured accordingly. Future research is needed to assess the drivers of perinatal insurance discontinuity and if and how these discontinuities may affect health care access, utilization, and birth outcomes.

Analgesic methadone prescribing in community health centers among patients with chronic pain.

OBJECTIVE: To examine analgesic methadone prescriptions among community health center (CHC) patients with chronic pain. DESIGN: Observational; two cross-sectional periods. SETTING: Oregon and California CHCs. PATIENTS: Chronic pain patients with ≥1 visit in 2012-2013 or 2017-2018 (N = 158,239). OUTCOMES: Changes in adjusted relative rates (aRRs) of receiving no opioids, short-acting only, long-acting only other than methadone, and methadone; characteristics associated with ≥1 methadone prescription. RESULTS: Opioid prescribing declined over time, with the largest decrease in methadone (aRR = 0.19, 95 percent confidence interval: 0.14-0.27). Among patients receiving ≥1 long-acting opioid, variables associated with methadone prescribing included being aged <65 years, having nonprivate insurance, and an opioid use disorder (OUD) diagnosis. From 2012-2013 to 2017-2018, aRR increased among patients with OUD and decreased for those aged 18-30 (vs ≥65), uninsured and Medicaid-insured (vs private), and race/ethnicity other than non-Hispanic Black (vs non-Hispanic White). CONCLUSIONS: Methadone prescribing decreased in CHCs but remained elevated for several high-risk demographic groups.

Uptake of a Cervical Cancer Clinical Decision Support Tool: A Mixed-Methods Study.

OBJECTIVES: Clinical decision support (CDS) tools that provide point-of-care reminders of patients' care needs may improve rates of guideline-concordant cervical cancer screening. However, uptake of such electronic health record (EHR)-based tools in primary care practices is often low. This study describes the frequency of factors associated with, and barriers and facilitators to adoption of a cervical cancer screening CDS tool (CC-tool) implemented in a network of community health centers. METHODS: This mixed-methods sequential explanatory study reports on CC-tool use among 480 community-based clinics, located across 18 states. Adoption of the CC-tool was measured as any instance of tool use (i.e., entry of cervical cancer screening results or follow-up plan) and as monthly tool use rates from November 1, 2018 (tool release date) to December 31, 2020. Adjusted odds and rates of tool use were evaluated using logistic and negative-binomial regression. Feedback from nine clinic staff representing six clinics during user-centered design sessions and semi-structured interviews with eight clinic staff from two additional clinics were conducted to assess barriers and facilitators to tool adoption. RESULTS: The CC-tool was used ≥1 time in 41% of study clinics during the analysis period. Clinics that ever used the tool and those with greater monthly tool use had, on average, more encounters, more patients from households at >138% federal poverty level, fewer pediatric encounters, higher up-to-date cervical cancer screening rates, and higher rates of abnormal cervical cancer screening results. Qualitative data indicated barriers to tool adoption, including lack of knowledge of the tool's existence, understanding of its functionalities, and training on its use. CONCLUSION: Without effective systems for informing users about new EHR functions, new or updated EHR tools are unlikely to be widely adopted, reducing their potential to improve health care quality and outcomes.

Delivery of Cervical and Colorectal Cancer Screenings During the Pandemic in Community Health Centers: Practice Changes and Recovery Strategies.

BACKGROUND: The coronavirus disease 2019 pandemic led to clinical practice changes, which affected cancer preventive care delivery. OBJECTIVES: To investigate the impact of the coronavirus disease 2019 pandemic on the delivery of colorectal cancer (CRC) and cervical cancer (CVC) screenings. RESEARCH DESIGN: Parallel mixed methods design using electronic health record data (extracted between January 2019 and July 2021). Study results focused on 3 pandemic-related periods: March-May 2020, June-October 2020, and November 2020-September 2021. SUBJECTS: Two hundred seventeen community health centers located in 13 states and 29 semistructured interviews from 13 community health centers. MEASURES: Monthly up-to-date CRC and CVC screening rates and monthly rates of completed colonoscopies, fecal immunochemical test (FIT)/fecal occult blood test (FOBT) procedures, Papanicolaou tests among age and sex-eligible patients. Analysis used generalized estimating equations Poisson modeling. Qualitative analysts developed case summaries and created a cross-case data display for comparison. RESULTS: The results showed a reduction of 75% for colonoscopy [rate ratio (RR) = 0.250, 95% CI: 0.224-0.279], 78% for FIT/FOBT (RR = 0.218, 95% CI: 0.208-0.230), and 87% for Papanicolaou (RR = 0.130, 95% CI: 0.125-0.136) rates after the start of the pandemic. During this early pandemic period, CRC screening was impacted by hospitals halting services. Clinic staff moved toward FIT/FOBT screenings. CVC screening was impacted by guidelines encouraging pausing CVC screening, patient reluctance, and concerns about exposure. During the recovery period, leadership-driven preventive care prioritization and quality improvement capacity influenced CRC and CVC screening maintenance and recovery. CONCLUSIONS: Efforts supporting quality improvement capacity could be key actionable elements for these health centers to endure major disruptions to their care delivery system and to drive rapid recovery.

Chronic overlapping pain conditions and long-term opioid treatment.

OBJECTIVES: One in 5 people in the United States lives with chronic pain. Many patients with chronic pain experience a subset of specific co-occurring pain conditions that may share a common pain mechanism and that have been designated as chronic overlapping pain conditions (COPCs). Little is known about chronic opioid prescribing patterns among patients with COPCs in primary care settings, especially among socioeconomically vulnerable patients. This study aims to evaluate opioid prescribing among patients with COPCs in US community health centers and to identify individual COPCs and their combinations that are associated with long-term opioid treatment (LOT). STUDY DESIGN: Retrospective cohort study. METHODS: We conducted analyses of more than 1 million patients 18 years and older based on electronic health record data from 449 US community health centers across 17 states between January 1, 2009, and December 31, 2018. Logistic regression models were used to assess the relationship between COPCs and LOT. RESULTS: Individuals with COPCs were prescribed LOT 4 times more often than individuals without a COPC (16.9% vs 4.0%). The presence of chronic low back pain, migraine headache, fibromyalgia, or irritable bowel syndrome combined with any of the other COPCs increased the odds of LOT prescribing compared with the presence of a single COPC. CONCLUSIONS: Although LOT prescribing has declined over time, it remains relatively high among patients with certain COPCs and for those with multiple COPCs. These study findings suggest target populations for future interventions to manage chronic pain among socioeconomically vulnerable patients.

Impact of COVID-19 Pandemic on Assessing Tobacco Status in Community Health Centers.

Few have studied the COVID-19 pandemic's impact on tobacco use status assessment and cessation counseling. Electronic health record data from 217 primary care clinics were examined from January 1, 2019 to July 31, 2021. Data included telehealth and in-person visits for 759,138 adult patients (aged ≥18 years). Monthly rates of tobacco assessment per 1,000 patients were calculated. From March 2020 to May 2020, tobacco assessment monthly rates declined by 50% and increased from June 2020 to May 2021 but remained 33.5% lower than pre-pandemic levels. Rates of tobacco cessation assistance changed less, but remain low. These findings are significant given the relevance of tobacco use to increased severity of COVID-19.

Sedative-hypnotic Co-prescribing with Opioids in a Large Network of Community Health Centers.

OBJECTIVE: When prescribed with opioids, sedative-hypnotics substantially increase the risk of overdose. The objective of this paper was to describe characteristics and trends in opioid sedative-hypnotic co-prescribing in a network of safety-net clinics serving low-income, publicly insured, and uninsured individuals. METHODS: This retrospective longitudinal analysis of prescription orders examined opioid sedative-hypnotic co-prescribing rates between 2009 and 2018 in the OCHIN network of safety-net community health centers. Sedative-hypnotics included benzodiazepine and non-benzodiazepine sedatives (eg, zolpidem). Co-prescribing patterns were assessed overall and across patient demographic and co-morbidity characteristics. RESULTS: From 2009 to 2018, 240 587 patients had ≥1 opioid prescriptions. Most were White (65%), female (59%), and had Medicaid insurance (43%). One in 4 were chronic opioid users (25%). During this period, 55 332 (23%) were co-prescribed a sedative-hypnotic. The prevalence of co-prescribing was highest for females (26% vs 19% for males), non-Hispanic Whites (28% vs 13% for Hispanic to 20% for unknown), those over 44 years of age (25% vs 20% for <44 years), Medicare insurance (30% vs 21% for uninsured to 22% for other/unknown), and among those on chronic opioid therapy (40%). Co-prescribing peaked in 2010 (32%) and declined steadily through 2018 (20%). Trends were similar across demographic subgroups. Co-prescribed sedative-hypnotics remained elevated for those with chronic opioid use (27%), non-Hispanic Whites (24%), females (23%), and those with Medicare (23%) or commercial insurance (22%). CONCLUSIONS: Co-prescribed sedative-hypnotic use has declined steadily since 2010 across all demographic subgroups in the OCHIN population. Concurrent use remains elevated in several population subgroups.

An observational study of health insured visits for children following Medicaid eligibility expansion for adults among a linked cohort of parents and children.

Despite its focus on adults, the Affordable Care Act (ACA) Medicaid expansion led to increased health insurance enrollment for children in the United States. Previous studies looked at parent and child insurance changes separately, or used a single survey response item to understand changes in health insurance for parents and children. It is, however, important to understand the connection between parent and child insurance changes together (not individually) using data sources that account for insurance over time. Therefore, to understand the association of parental health insurance on their children's coverage, leveraging a cohort of linked families seen in community health centers (CHCs), we used electronic health records to link a cohort of parents and children with ≥1 visit to a CHC in a Medicaid expansion state pre- (1/1/2012-12/31/2013) and ≥1 visit post-ACA (1/1/2014-12/31/2018) and determined primary payer type for all visits. This observational, cohort study assessed the rate of insured visits for children pre- to post-ACA across four parental insurance groups (always insured, gained Medicaid, discontinuously insured, never insured) using Poisson mixed effects models. We included 335 CHCs across 7 United States. Insurance rates were highest (~95 insured visits/100 visits) for children of parents who were always insured; rates were lowest for children of parents who were never insured (~83 insured visits/100 visits). Children with a parent who gained Medicaid had 4.4% more insured visits post- compared to pre-ACA (adjusted relative rates  = 1.044, 95% confidence interval: 1.014, 1.074). When comparing changes from pre- to post-ACA between parent insurance groups, children's insured visit rates were significantly higher for children of parents who gained Medicaid (reference) compared to children of parents who were always insured (adjusted ratio of rate ratio: 0.963, confidence interval: 0.935-0.992). Despite differences in Medicaid eligibility for children and adults, health insurance patterns were similar for linked families seen in CHCs. Findings suggest consideration should be paid to parent health insurance options when trying to increase children's coverage.

Association of Parent Preventive Care with their Child's Recommended Well-Child Visits.

BACKGROUND: Receipt of recommended well-child care is lowest for children without insurance, many of whom receive care in community health centers (CHCs). OBJECTIVE: To understand if there is an association between parent preventive care and their children's well-child visits. METHODS: We used electronic health record data to identify children and link them to parents both seen in an OCHIN network (CHC; n = 363 clinics from 17 states), randomly selected a child aged 3 to 17 with ≥1 ambulatory visit between 2015 and 2018. We employed a retrospective, cohort study design and used general estimating equations Poisson regression to estimate yearly rates of well-child visits based on parent preventive care adjusted for relevant covariates and stratified by child age for 3 linked samples: mother only, father only, and two parents. RESULTS: We included 75,398 linked mother only pairs, 12,438 in our father only, and 4,156 in our 2-parent sample. Children in the mother only sample had a 6% greater rate of yearly well-child visits when their mother received preventive care (adjusted rate ratio [ARR] = 1.06; 95% CI = 1.03-1.08) compared to no preventive care. Children in the father only sample had a 7% greater rate of yearly well-child visits when their father received preventive care (ARR = 1.07; 95% CI = 1.04-1.11) versus no preventive care. Children in the two parent sample had an 11% greater rate of yearly well-child visits when both parents received preventive care (ARR = 1.11; 95% CI = 1.03-1.19) compared to neither receiving preventive care. CONCLUSIONS: These findings suggest focusing on receipt of healthcare for the whole family may improve well-child visit rates.

Comparing ascertainment of chronic condition status with problem lists versus encounter diagnoses from electronic health records.

OBJECTIVE: To assess and compare electronic health record (EHR) documentation of chronic disease in problem lists and encounter diagnosis records among Community Health Center (CHC) patients. MATERIALS AND METHODS: We assessed patient EHR data in a large clinical research network during 2012-2019. We included CHCs who provided outpatient, older adult primary care to patients age ≥45 years, with ≥2 office visits during the study. Our study sample included 1 180 290 patients from 545 CHCs across 22 states. We used diagnosis codes from 39 Chronic Condition Warehouse algorithms to identify chronic conditions from encounter diagnoses only and compared against problem list records. We measured correspondence including agreement, kappa, prevalence index, bias index, and prevalence-adjusted bias-adjusted kappa. RESULTS: Overlap of encounter diagnosis and problem list ascertainment was 59.4% among chronic conditions identified, with 12.2% of conditions identified only in encounters and 28.4% identified only in problem lists. Rates of coidentification varied by condition from 7.1% to 84.4%. Greatest agreement was found in diabetes (84.4%), HIV (78.1%), and hypertension (74.7%). Sixteen conditions had <50% agreement, including cancers and substance use disorders. Overlap for mental health conditions ranged from 47.4% for anxiety to 59.8% for depression. DISCUSSION: Agreement between the 2 sources varied substantially. Conditions requiring regular management in primary care settings may have a higher agreement than those diagnosed and treated in specialty care. CONCLUSION: Relying on EHR encounter data to identify chronic conditions without reference to patient problem lists may under-capture conditions among CHC patients in the United States.

Characterizations of Opioid Prescribing in Community Health Centers in 2018.

OBJECTIVE: To identify the patient- and clinic-level correlates of any prescription opioid use, chronic use, and high-dose opioid use in a multi-state network of Community Health Centers (CHCs). METHODS: We used electronic health record data from 337 primary care clinics serving 610 983 patients across 15 states in 2018. The primary outcomes were prescription of any opioid, chronic opioid, and high-dose opioid. RESULTS: Overall, 6.5% of patients were prescribed an opioid; of these, 31% were chronic users and 5% were high-dose users. Males had 5% lower odds (Odds Ratio [OR] = 0.95; 95% Confidence Interval = 0.93-0.97) of being prescribed an opioid but 16% higher odds (OR = 1.16; 95% CI = 1.10-1.21) of being chronic users and 48% (OR = 1.48; 95% CI = 1.36-1.64) higher odds of being high-dose users than females. Rural clinics had higher rates of chronic opioid (rate ratio = 1.86; 95% CI = 1.20, 2.88) and high-dose users (rate ratio = 2.95; 95% CI = 1.81-4.81). CONCLUSIONS: Our study highlights variations in opioid prescribing with regard to patient-level and clinic-level factors. Targeted efforts and resources may be required to support rural CHCs who seek to reduce high-risk opioid prescribing.

Prevalent Multimorbidity Combinations Among Middle-Aged and Older Adults Seen in Community Health Centers.

BACKGROUND: Multimorbidity (≥ 2 chronic diseases) is associated with greater disability and higher treatment burden, as well as difficulty coordinating self-management tasks for adults with complex multimorbidity patterns. Comparatively little work has focused on assessing multimorbidity patterns among patients seeking care in community health centers (CHCs). OBJECTIVE: To identify and characterize prevalent multimorbidity patterns in a multi-state network of CHCs over a 5-year period. DESIGN: A cohort study of the 2014-2019 ADVANCE multi-state CHC clinical data network. We identified the most prevalent multimorbidity combination patterns and assessed the frequency of patterns throughout a 5-year period as well as the demographic characteristics of patient panels by prevalent patterns. PARTICIPANTS: The study included data from 838,642 patients aged ≥ 45 years who were seen in 337 CHCs across 22 states between 2014 and 2019. MAIN MEASURES: Prevalent multimorbidity patterns of somatic, mental health, and mental-somatic combinations of 22 chronic diseases based on the U.S. Department of Health and Human Services Multiple Chronic Conditions framework: anxiety, arthritis, asthma, autism, cancer, cardiac arrhythmia, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), congestive heart failure, coronary artery disease, dementia, depression, diabetes, hepatitis, human immunodeficiency virus (HIV), hyperlipidemia, hypertension, osteoporosis, post-traumatic stress disorder (PTSD), schizophrenia, substance use disorder, and stroke. KEY RESULTS: Multimorbidity is common among middle-aged and older patients seen in CHCs: 40% have somatic, 6% have mental health, and 24% have mental-somatic multimorbidity patterns. The most frequently occurring pattern across all years is hyperlipidemia-hypertension. The three most frequent patterns are various iterations of hyperlipidemia, hypertension, and diabetes and are consistent in rank of occurrence across all years. CKD-hyperlipidemia-hypertension and anxiety-depression are both more frequent in later study years. CONCLUSIONS: CHCs are increasingly seeing more complex multimorbidity patterns over time; these most often involve mental health morbidity and advanced cardiometabolic-renal morbidity.

Creation of a linked cohort of children and their parents in a large, national electronic health record dataset.

ABSTRACT: To examine which parental health care and health factors are most strongly associated with a child's receipt of recommended care we must be able to link children to their parents in electronic health record data. Yet, there is not an easy way to link these data.To identify a national cohort of children that link to at least one parent in the same electronic health record dataset and describe their demographics.Methodology to link parents and children in electronic health records and descriptive sociodemographic data.Children with at least one encounter with a primary care clinician between Januray 1, 2007 and December 12, 2018 to a community health center in the OCHIN national network. We identified parents of these children who also had at least one encounter to a community health center in the network using emergency contact and guarantor record fields.A total of 227,552 children had parents with a linkable patient record. After exclusions, our final cohort included 213,513 distinct children with either one or two parent-links. 82% of children linked to a mother only, 14% linked to a father only, and 4% linked to both a mother and a father. Most families consisted of only one linked child (61%).We were able to link 33% of children to a parent in electronic health record data from a large network of community health centers across the United States. Further analyses utilizing these linkages will allow examination of the multi-level factors that impact a child's receipt of recommended health care.

Prevalence of Pre-existing Conditions Among Community Health Center Patients With COVID-19: Implications for the Patient Protection and Affordable Care Act.

BACKGROUND: Short- and long-term effects of COVID-19 will likely be designated pre-existing conditions. We describe the prevalence of pre-existing conditions among community health center patients overall and those with COVID-19 by race/ethnicity. MATERIALS AND METHODS: This cross-sectional study used electronic health record data from OCHIN, a network of 396 community health centers across 14 states. RESULTS: Among all patients with COVID-19, 33% did not have a pre-existing condition before the pandemic. Up to half of COVID-19-positive non-Hispanic Asians (51%), Hispanic (36%), and non-Hispanic black (28%) patients did not have a pre-existing condition before the pandemic. CONCLUSIONS: The future of the Patient Protection and Affordable Care Act is uncertain, and the long-term health effects of COVID-19 are largely unknown; therefore, ensuring people with pre-existing conditions can acquire health insurance is essential to achieving health equity.

Documenting New Ways of Delivering Care Under Oregon's Alternative Payment and Advanced Care Model.

BACKGROUND: The fee-for-service reimbursement system that dominates health care throughout the United States links payment to a billable office visit with a physician or advanced practice provider. Under Oregon's Alternative Payment and Advanced Care Model (APCM), initiated in 2013, participating community health centers (CHCs) received per-member-per-month payments for empaneled Medicaid patients in lieu of standard fee-for-service Medicaid payments. With Medicaid revenue under APCM no longer tied solely to the volume of visits, the Oregon Health Authority needed a way to document the full range of care and services that CHCs were providing to their patients, including nontraditional patient encounters taking place outside of traditional face-to-face visits with a billable provider. Toward this end, program leadership defined 18 visit and nonvisit-based care activities-"Care Services That Engage Patients" (Care STEPs)-that APCM CHCs were asked to document in the electronic health record to demonstrate continued empanelment. OBJECTIVE: To describe trends in rates of traditional face-to-face office visits and Care STEPs documentation among CHCs involved in the first 3 phases of APCM implementation. RESEARCH DESIGN: The study population included the 9 CHCs involved in the first 3 phases of APCM implementation. Using data from the electronic health record, quarterly summary rates for office visits and Care STEPs were calculated for the first 18 quarters of implementation (March 1, 2013 to June 30, 2017). RESULTS: Among participating CHCs, the mean rate of face-to-face visits with billable providers declined from 635 ± 128 to 461 ± 109 visits/1000 patients/quarter (mean difference, -174; 95% CI, -255, -94). Care STEPs documentation increased from 831 ± 174 to 1017 ± 369 Care Steps/1000 patients/quarter, but the difference was not statistically significant. Care STEPs within the category of New Visit Types were documented most frequently. There were significant increases in documentation of Patient Care Coordination and Integration and a small, albeit significant, increase in Reducing Barriers to Health. There was a significant decline in the documentation of Care STEPs by physicians and advanced practice providers an increase in documentation by ancillary staff. CONCLUSIONS: These findings suggest that APCM is increasing CHCs' capacity to experiment with new ways of providing care beyond the traditional face-to-face office visit with a physician or advanced practice provider. However, CHCs may choose different ways to change the delivery of care and some CHCs have implemented these changes more quickly than others. Future mixed-methods research is needed to understand barriers and facilitators to changing the delivery of care after APCM implementation.

The impact of capitated payment on preventive care utilization in community health clinics.

Only half of the United States population regularly receives recommended preventive care services. Alternative payment models (e.g., a per-member-per-month capitated payment model) may encourage the delivery of preventive services when compared to a fee-for-service visitbased model; however, evaluation is lacking in the United States. This study assesses the impact of implementing Oregon's Alternative Payment Methodology (APM) on orders for preventive services within community health centers (CHCs). This retrospective cohort study uses electronic health record data from the OCHIN, Inc., 2012-2018, analyzed in 2018-2019. Twenty-seven CHCs which implemented APM in 2013-2016 were compared to six non-APM CHCs. Clinic-level quarterly rates of ordering nine preventive services in 2012-2018 were calculated. For each phase and preventive service, we used difference-in-differences analysis to assess the APM impact on ordering preventive care. We found greater increases for APM CHCs compared to non-APM CHCs for orders of mammograms (difference-in-differences estimates (DDs) across four phases:1.69-2.45). Both groups had decreases in ordering cervical cancer screenings, however, APM CHCs had smaller decreases (DDs:1.62-1.93). The APM CHCs had significantly greater decreases in influenza vaccinations (DDs:0.17-0.32). There were no consistent significant differences in pre-post changes in APM vs. non-APM CHCs for cardiometabolic risk screenings, smoking status and depression assessments. There was nonsignificant change in the proportion of nontraditional encounters in APM clinics compared to controls. Transition from fee-for-service to an APM did not negatively impact delivery of preventive care. Further studies are needed to understand how to change encounter structures to best deliver recommended preventive care.