The Importance of Primary Care Research in Understanding Health Inequities in the United States

Key informants perspectives on creating a high impact research department in family and community medicine: a qualitative project

BACKGROUND

Primary care is integral to the health system and population health. Primary care research is still in development and most academic departments lack effective research investments. High impact primary care research programs are needed to advance the field to ensure a robust primary care system for the future. The project objective was to understand key informants' views of structures, functions, and processes required to create a high impact research program in an academic primary care department.

METHODS

A descriptive qualitative project with key informants from research programs in primary care. Participants included international research leaders in primary care (n = 10), department of family and community researchers (n = 37) and staff (n = 9) in an academic primary care department, other university leaders (n = 3) and members of the departmental executive leadership team (1 department; 25 members). Semi-structured interviews (n = 27), and focus groups (n = 6) were audio recorded, transcribed, and analyzed using thematic analysis. We used a socioecological framework which described micro, meso, macro levels of influence.

RESULTS

At the micro level despite barriers with respect to funding, protected time and lack of formal mentorship, personal motivation was a key factor. At the meso level, the organizational structure that promoted collaboration and a sense of connection emerged as a key factor. Specifically research leaders identified a research faculty development pipeline based on equity, diversity, inclusion, indigeneity, and accessibility principles with thematic areas of focus as key enablers. Lastly, at the macro level, an overarching culture and policies that promoted funding and primary care research was associated with high impact programs.

CONCLUSION

The alignment/complementarity of micro, meso, and macro level factors influenced the creation of a high impact research department in primary care. High impact research in primary care is facilitated by the development of researchers through formalized and structured mentorship/sponsorship and a department culture that promote primary care research.

Disaggregating Latino nativity in equity research using electronic health records

OBJECTIVE

To develop and validate prediction models for inference of Latino nativity to advance health equity research.

DATA SOURCES/STUDY SETTING

This study used electronic health records (EHRs) from 19,985 Latino children with self-reported country of birth seeking care from January 1, 2012 to December 31, 2018 at 456 community health centers (CHCs) across 15 states along with census-tract geocoded neighborhood composition and surname data.

STUDY DESIGN

We constructed and evaluated the performance of prediction models within a broad machine learning framework (Super Learner) for the estimation of Latino nativity. Outcomes included binary indicators denoting nativity (US vs. foreign-born) and Latino country of birth (Mexican, Cuban, Guatemalan). The performance of these models was compared using the area under the receiver operating characteristics curve (AUC) from an externally withheld patient sample.

DATA COLLECTION/EXTRACTION METHODS

Census surname lists, census neighborhood composition, and Forebears administrative data were linked to EHR data.

PRINCIPAL FINDINGS

Of the 19,985 Latino patients, 10.7% reported a non-US country of birth (5.1% Mexican, 4.7% Guatemalan, 0.8% Cuban). Overall, prediction models for nativity showed outstanding performance with external validation (US-born vs. foreign: AUC = 0.90; Mexican vs. non-Mexican: AUC = 0.89; Guatemalan vs. non-Guatemalan: AUC = 0.95; Cuban vs. non-Cuban: AUC = 0.99).

CONCLUSIONS

Among challenges facing health equity researchers in health services is the absence of methods for data disaggregation, and the specific ability to determine Latino country of birth (nativity) to inform disparities. Recent interest in more robust health equity research has called attention to the importance of data disaggregation. In a multistate network of CHCs using multilevel inputs from EHR data linked to surname and community data, we developed and validated novel prediction models for the use of available EHR data to infer Latino nativity for health disparities research in primary care and health services research, which is a significant potential methodologic advance in studying this population.

A cross-sectional study of the socio-demographic and epidemiological factors associated with childhood cancer in Cali, Colombia

This study investigates the occurrence of childhood cancer between the years 2015 and 2016 in the city of Cali, Colombia, with respect to: a) sociodemographic characteristics, b) type of cancer, c) epidemiological weeks of cancer and d) comparative survival according to health system affiliation by consolidating the records notified to the municipal health secretariat. Statistically significant differences were found between the groups analysed in relation to the variables related to the type of cancer (p = 0.006). With respect to the proportion of cancer mortality between the years 2015–2016 there was no significant change, even though survival increased in the year 2016. The implications for collective health and public policies in Latin America are discussed.

Adolescent depression screening in primary care: Who is screened and who is at risk?

BACKGROUND

Limited research has simultaneously focused on sociodemographic differences in who receives recommended adolescent depression screening in primary care and who endorses elevated depression and suicide risk on these screeners. We describe screening and risk rates in a large pediatric primary care network in the United States after the network expanded its universal depression screening guideline to cover all well-visits (i.e., annual medical checkups) for adolescents ages 12 and older.

METHODS

Between November 15, 2017 and February 1, 2020, there were 122,682 well-visits for adolescents ages 12-17 (82,531 unique patients). The Patient Health Questionnaire - Modified for Teens (PHQ-9-M) was administered to screen for depression.

RESULTS

A total of 99,961 PHQ-9-Ms were administered (screening rate=81.48%). The likelihood of screening was higher among adolescents who were female, 12-14 years of age at their first well-visit during the study, White, Hispanic/Latino, or publicly-insured (i.e., Medicaid-insured). Additionally, 5.92% of adolescents scored in the threshold range for depression symptoms and 7.19% endorsed suicidality. Heightened depression and suicide risk were observed among adolescents who were female, 15-17 years of age at their first well-visit during the study, Black, Hispanic/Latino, attending urban primary care practices, or Medicaid-insured. Odds of endorsing suicidality were also higher among teens who identified as other races.

LIMITATIONS

Limitations related to data available in the electronic health record and reliance on data from a single hospital system are noted.

CONCLUSIONS

Findings highlight misalignments in screening and risk status that are important to address to ensure more equitable screening implementation and health outcomes.