primary health care

High-quality primary care is the foundation of a high-functioning health care system. When it is high-quality, primary care provides continuous, personcentered, relationship-based care that considers the needs and preferences of individuals, families, and communities. Without access to high-quality primary care, minor health problems can spiral into chronic disease, chronic disease management becomes difficult and uncoordinated, visits to emergency departments increase, preventive care lags, and health care spending soars to unsustainable levels.

Unequal access to primary care remains a concern, and the COVID-19 pandemic amplified pervasive economic, mental health, and social health disparities that ubiquitous, high-quality primary care might have reduced. Primary care is the only health care component where an increased supply is associated with better population health and more equitable outcomes. For this reason, primary care is a common good, which makes the strength and quality of the country’s primary care services a public concern.

The National Academies of Sciences, Engineering, and Medicine formed the Committee on Implementing High-Quality Primary Care in 2019. Building on the recommendations of the 1996 Institute of Medicine report Primary Care: America’s Health in a New Era, the committee was tasked to develop an implementation plan for high-quality primary care in the United States.

The committee’s definition of high-quality primary care (see Box 1) describes what it should be, not what most people in the United States experience today. To rebuild a strong foundation for the U.S. health care system, the committee’s implementation plan includes objectives and actions targeting primary care stakeholders and balancing national needs for scalable solutions while allowing for adaptations to meet local needs.

The committee set five implementation objectives to make high-quality primary care available to all people living in the United States:

1. Pay for primary care teams to care for people, not doctors to deliver services.

2.Ensure that high-quality primary care is available to every individual and family in every community.

3.Train primary care teams where people live and work.

4.Design information technology that serves the patient, family, and the interprofessional care team.

5.Ensure that high-quality primary care is implemented in the United States.

Existing methods of screening for substance abuse (standardized questionnaires or clinician's simply asking) have proven difficult to initiate and maintain in primary care settings. This article reports on how predictive modeling can be used to screen for substance abuse using extant data in electronic health records (EHRs). We relied on data available through Veterans Affairs Informatics and Computing Infrastructure (VINCI) for the years 2006 through 2016. We focused on 4,681,809 veterans who had at least two primary care visits; 829,827 of whom had a hospitalization. Data included 699 million outpatient and 17 million inpatient records. The dependent variable was substance abuse as identified from 89 diagnostic codes using the Agency for Healthcare Quality and Research classification of diseases. In addition, we included the diagnostic codes used for identification of prescription abuse. The independent variables were 10,292 inpatient and 13,512 outpatient diagnoses, plus 71 dummy variables measuring age at different years between 20 and 90 years. A modified naive Bayes model was used to aggregate the risk across predictors. The accuracy of the predictions was examined using area under the receiver operating characteristic (AROC) curve in 20% of data, randomly set aside for the evaluation. Many physical/mental illnesses were associated with substance abuse. These associations supported findings reported in the literature regarding the impact of substance abuse on various diseases and vice versa. In randomly set-aside validation data, the model accurately predicted substance abuse for inpatient (AROC = 0.884), outpatient (AROC = 0.825), and combined inpatient and outpatient (AROC = 0.840) data. If one excludes information available after substance abuse is known, the cross-validated AROC remained high, 0.822 for inpatient and 0.817 for outpatient data. Data within EHRs can be used to detect existing or predict potential future substance abuse.

KEY POINTS

• Children present frequently to primary and emergency care with nonspecific abdominal pain.

• Only a few treatment options exist to manage colicky, undifferentiated pain; however, most children will not present more than once or twice to health services for this problem.

• Undifferentiated abdominal pain is poorly understood but likely multifactorial, arising from a combination of sensitizing medical events, psychosocial events and visceral hyperalgesia.

• Among children who seek health care for this problem, 20%–25% go on to be diagnosed with a disorder of the brain–gut axis, “a functional gastrointestinal disorder,” for which international guidelines exist to guide management.

• At first consultation, it is important to establish a positive therapeutic relationship between the clinician and the child and their parents, focusing on optimizing symptom control over unnecessary investigation and medicines.

Abstract

Introduction: Despite the safety and efficacy of the human papillomavirus vaccine, thousands are impacted by human papillomavirus and its related cancers. Rural regions have disproportionately low rates of human papillomavirus vaccination. Primary care clinics play an important role in delivering the human papillomavirus vaccine. A positive deviance approach is used to identify workflows, organizational factors, and communication strategies in rural clinics with higher human papillomavirus vaccine up-to-date rates. Positive deviance is a process by which exceptional behaviors and strategies are identified to understand factors that enable success.

Methods: Rural primary care clinics were rank ordered by human papillomavirus vaccine up-to-date rates using 2018 Oregon Immunization Program data, then recruited via purposive sampling of clinics in the top and bottom quartiles. Two study team members conducted previsit interviews, intake surveys, and 2-day observation visits with 12 clinics and prepared detailed field notes. Data were collected October-December 2018 and analyzed using a thematic approach January-April 2019.

Results: Four themes distinguished rural clinics with higher human papillomavirus vaccine up-to-date rates from those with lower rates. First, they implemented standardized workflows to identify patients due for the vaccine and had vaccine administration protocols. Second, they designated and supported a vaccine champion. Third, clinical staff in higher performing sites were comfortable providing immunizations regardless of visit type. Finally, they used clear, persuasive language to recommend or educate parents and patients about the vaccine's importance.

Conclusions: Positive deviance identified characteristics associated with higher human papillomavirus vaccine up-to-date rates in rural primary care clinics. These findings provide guidance for rural clinics to inform human papillomavirus vaccination quality improvement interventions.

Copyright © 2020 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.