primary care

IDENTIFYING AND ADDRESSING SOCIAL NEEDS IN PRIMARY CARE SETTINGS

Social determinants of health (SDOH) are widely recognized as having an important impact on health and
mortality,1 and there is now strong evidence of the benefits of addressing people’s unmet social needs.
For example, ensuring access to healthy foods and providing
supportive housing for people facing homelessness have been
found to lower healthcare utilization and costs.2 In addition, there
is emerging evidence that screening for and attempting to address
unmet needs within a primary care setting can improve patient
health.3 In response to this growing body of evidence, primary care
practices and health systems are increasingly integrating formal
screening for social needs into clinical care services.

Quick Guide to Primary Care First

Author/s: 
Primary Care First

Primary Care First is a voluntary five-year payment model that rewards value and quality by offering an innovative payment structure to support advanced primary care delivery. Primary Care First aims to improve quality and access to care for all patients, particularly those with complex chronic conditions. The model also aims to reduce Medicare spending by preventing avoidable inpatient hospital admissions.

Risk Factors Associated With Transition From Acute to Chronic Low Back Pain in US Patients Seeking Primary Care

Author/s: 
Stevans, Joel M., Delitto, Anthony, Khoja, Samannaaz, Patterson, Charity G., Smith, Clair N., Schneider, Michael J., Freburger, Janet K., Greco, Carol M., Freel, Jennifer A., Sowa, Gwendolyn A., Wasan, Ajay D., Brennan, Gerard P., Hunter, Stephen J., Minick, Kate I., Wegener, Stephen T., Ephraim, Patti L., Friedman, Michael", Jason M., Robert B.

Importance: Acute low back pain (LBP) is highly prevalent, with a presumed favorable prognosis; however, once chronic, LBP becomes a disabling and expensive condition. Acute to chronic LBP transition rates vary widely owing to absence of standardized operational definitions, and it is unknown whether a standardized prognostic tool (ie, Subgroups for Targeted Treatment Back tool [SBT]) can estimate this transition or whether early non-guideline concordant treatment is associated with the transition to chronic LBP.

Objective: To assess the associations between the transition from acute to chronic LBP with SBT risk strata; demographic, clinical, and practice characteristics; and guideline nonconcordant processes of care.

Design, setting, and participants: This inception cohort study was conducted alongside a multisite, pragmatic cluster randomized trial. Adult patients with acute LBP stratified by SBT risk were enrolled in 77 primary care practices in 4 regions across the United States between May 2016 and June 2018 and followed up for 6 months, with final follow-up completed by March 2019. Data analysis was conducted from January to March 2020.

Exposures: SBT risk strata and early LBP guideline nonconcordant processes of care (eg, receipt of opioids, imaging, and subspecialty referral).

Main outcomes and measures: Transition from acute to chronic LBP at 6 months using the National Institutes of Health Task Force on Research Standards consensus definition of chronic LBP. Patient demographic characteristics, clinical factors, and LBP process of care were obtained via electronic medical records.

Results: Overall, 5233 patients with acute LBP (3029 [58%] women; 4353 [83%] White individuals; mean [SD] age 50.6 [16.9] years; 1788 [34%] low risk; 2152 [41%] medium risk; and 1293 [25%] high risk) were included. Overall transition rate to chronic LBP at six months was 32% (1666 patients). In a multivariable model, SBT risk stratum was positively associated with transition to chronic LBP (eg, high-risk vs low-risk groups: adjusted odds ratio [aOR], 2.45; 95% CI, 2.00-2.98; P < .001). Patient and clinical characteristics associated with transition to chronic LBP included obesity (aOR, 1.52; 95% CI, 1.28-1.80; P < .001); smoking (aOR, 1.56; 95% CI, 1.29-1.89; P < .001); severe and very severe baseline disability (aOR, 1.82; 95% CI, 1.48-2.24; P < .001 and aOR, 2.08; 95% CI, 1.60-2.68; P < .001, respectively) and diagnosed depression/anxiety (aOR, 1.66; 95% CI, 1.28-2.15; P < .001). After controlling for all other variables, patients exposed to 1, 2, or 3 nonconcordant processes of care within the first 21 days were 1.39 (95% CI, 1.21-2.32), 1.88 (95% CI, 1.53-2.32), and 2.16 (95% CI, 1.10-4.25) times more likely to develop chronic LBP compared with those with no exposure (P < .001).

Conclusions and relevance: In this cohort study, the transition rate to chronic LBP was substantial

Recognizing Axial Spondyloarthritis: A Guide for Primary Care

Author/s: 
Magrey, Marina N., Danve, Abhijeet S., Ermann, Joerg, Walsh, Jessica A.

Axial spondyloarthritis (axSpA) is an important cause of chronic low back pain and affects approximately 1% of the US population. The back pain associated with axSpA has a characteristic pattern referred to as inflammatory back pain (IBP). Features of IBP include insidious onset before age 45 years, association with morning stiffness, improvement with exercise but not rest, alternating buttock pain, and good response to treatment with nonsteroidal anti-inflammatory drugs. In patients with IBP, it is essential to look for other features associated with spondyloarthritis (SpA), such as enthesitis, dactylitis, peripheral arthritis, extra-articular manifestations (eg, psoriasis, uveitis, or inflammatory bowel disease), human leukocyte antigen B27 positivity, and a family history of SpA. Axial SpA is underrecognized, and a delay of several years between symptom onset and diagnosis is common. However, with new and effective therapies available for the treatment of active axSpA, early recognition and diagnosis are of critical importance. For this narrative review, we conducted a literature search of English-language articles using PubMed. Individual searches were performed to identify potential articles of interest related to axSpA (search terms: ["axSpA" OR "axial SpA" OR "axial spondyloarthritis" OR "ankylosing spondylitis"]) in combination with terms related to IBP ("inflammatory back pain" OR "IBP" OR "chronic back pain" OR "CBP" OR "lower back pain" OR "LBP"), diagnosis (["diagn∗" OR "classification"] AND ["criteria" OR "recommend∗" OR "guidelines"]), and referral ("refer∗"). No date range was formally selected, as we were interested in providing an overview of the evolution of these concepts in clinical practice. We supplemented the review with insights based on our clinical expertise. Patients with chronic back pain should be screened for IBP and other SpA features; suspicion for axSpA should trigger referral to a rheumatologist for further evaluation.

The Primary Cares Initiative: Value-Based Redesign of Primary Care

Author/s: 
Bliss, HE, George, P, Adashi, EY

On April 22, 2019, the Centers for Medicare and Medicaid Services (CMS) rolled out the Primary Cares Initiative, a collection of voluntary payment model options in support of high value primary care.1 The first element of the initiative, Primary Care First, is to engage advanced primary care practice sites via two performance-based payment model options.1 The second element of the initiative, Direct Contracting, aims to involve larger primary care entities via three risk-assuming payment model options.

Primary Care First Model Options

Author/s: 
Centers for Medicare & Medicaid Services

Primary Care First is a set of voluntary five-year payment model options that reward value and quality by offering innovative payment model structures to support delivery of advanced primary care. In response to input from primary care clinician stakeholders, Primary Care First is based on the underlying principles of the existing CPC+ model design:  prioritizing the doctor-patient relationship; enhancing care for patients with complex chronic needs and high need, seriously ill patients, reducing administrative burden, and focusing financial rewards on improved health outcomes.

Keywords 

Powering-Up Primary Care Teams: Advanced Team Care With In-Room Support

Author/s: 
Christine A, Bodenheimer, Thomas

Primary care teams are underpowered. Teams do not maximally redistribute team functions when clinicians are diverted from activities where they add the most value. This commentary describes "advanced team care with in-room support" as a way to "power-up" primary care teams. In this core team model, each clinician is paired with 2 or 3 highly trained medical assistants or nurses-care team coordinators (CTCs). Early evidence suggests that this model is more satisfying to clinicians, staff, and patients and is financially sustainable. Yet its spread has been hobbled by several misguided beliefs, such as that the physician can and should do most tasks, that technology replaces people, that health care is a transactional endeavor more than a therapeutic relationship, that regulation is the main lever by which to advance quality, and that the principal way to increase net revenue is to reduce overhead. A shift in mindset is needed to energize primary care.

C-Reactive Protein Testing to Guide Antibiotic Prescribing for COPD Exacerbations

Author/s: 
Butler, Christopher C., Gillespie, David, White, Patrick, Bates, Janine, Lowe, Rachel, Thomas-Jones, Emma, Wootton, Mandy, Hood, Kerenza, Phillips, Rhiannon, Melbye, M., Llor, Carl, Cals, Jochen W.L.

BACKGROUND

Point-of-care testing of C-reactive protein (CRP) may be a way to reduce unnecessary use of antibiotics without harming patients who have acute exacerbations of chronic obstructive pulmonary disease (COPD).

METHODS

We performed a multicenter, open-label, randomized, controlled trial involving patients with a diagnosis of COPD in their primary care clinical record who consulted a clinician at 1 of 86 general medical practices in England and Wales for an acute exacerbation of COPD. The patients were assigned to receive usual care guided by CRP point-of-care testing (CRP-guided group) or usual care alone (usual-care group). The primary outcomes were patient-reported use of antibiotics for acute exacerbations of COPD within 4 weeks after randomization (to show superiority) and COPD-related health status at 2 weeks after randomization, as measured by the Clinical COPD Questionnaire, a 10-item scale with scores ranging from 0 (very good COPD health status) to 6 (extremely poor COPD health status) (to show noninferiority).

RESULTS

A total of 653 patients underwent randomization. Fewer patients in the CRP-guided group reported antibiotic use than in the usual-care group (57.0% vs. 77.4%; adjusted odds ratio, 0.31; 95% confidence interval [CI], 0.20 to 0.47). The adjusted mean difference in the total score on the Clinical COPD Questionnaire at 2 weeks was −0.19 points (two-sided 90% CI, −0.33 to −0.05) in favor of the CRP-guided group. The antibiotic prescribing decisions made by clinicians at the initial consultation were ascertained for all but 1 patient, and antibiotic prescriptions issued over the first 4 weeks of follow-up were ascertained for 96.9% of the patients. A lower percentage of patients in the CRP-guided group than in the usual-care group received an antibiotic prescription at the initial consultation (47.7% vs. 69.7%, for a difference of 22.0 percentage points; adjusted odds ratio, 0.31; 95% CI, 0.21 to 0.45) and during the first 4 weeks of follow-up (59.1% vs. 79.7%, for a difference of 20.6 percentage points; adjusted odds ratio, 0.30; 95% CI, 0.20 to 0.46). Two patients in the usual-care group died within 4 weeks after randomization from causes considered by the investigators to be unrelated to trial participation.

CONCLUSIONS

CRP-guided prescribing of antibiotics for exacerbations of COPD in primary care clinics resulted in a lower percentage of patients who reported antibiotic use and who received antibiotic prescriptions from clinicians, with no evidence of harm. (Funded by the National Institute for Health Research Health Technology Assessment Program; PACE Current Controlled Trials number, ISRCTN24346473.)

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