Quality Gap in Long-Stay Antipsychotic Quality Measure Performance Widens Over the Pandemic, Reversing Past Gains.

The Centers for Medicare & Medicaid Services (CMS) grades nursing home performance in antipsychotic prescribing quarterly, publishing findings as a quality measure. While scores have improved since 2011, marked performance variation between facilities persists. To assess quality gap changes between best- and worst-performing deciles, we compared quarterly prescribing changes between these groups pre-pandemic (April 2011 to March 2020) and during the pandemic (April 2020 to March 2022). Antipsychotic quality measure scores, improving pre-pandemic, deteriorated during the pandemic. The pre-pandemic quality gap between the best- and worst-performing deciles narrowed as the worst-performing decile improved faster than the best-performing decile. During the pandemic, the quality gap widened as the worst-performing decile relapsed more than the best-performing decile (p < .0001). The pandemic disrupted quality performance gains and compounded disparities between facilities. A better understanding of the factors allowing high performers to weather pandemic stressors better than poor performers may reveal opportunities to improve nursing home quality and equity for all residents.

You Cannot Function in "Overwhelm": Helping Primary Care Navigate the Slow End of the Pandemic.

GOAL: This study was developed to explicate underlying organizational factors contributing to the deterioration of primary care clinicians' mental health during the COVID-19 pandemic. METHODS: Using data from the Larry A. Green Center for the Advancement of Primary Health Care for the Public Good's national survey of primary care clinicians from March 2020 to March 2022, a multidisciplinary team analyzed more than 11,150 open-ended comments. Phase 1 of the analysis happened in real-time as surveys were returned, using deductive and inductive coding. Phase 2 used grounded theory to identify emergent themes. Qualitative findings were triangulated with the survey's quantitative data. PRINCIPAL FINDINGS: The clinicians shifted from feelings of anxiety and uncertainty at the start of the pandemic to isolation, lack of fulfillment, moral injury, and plans to leave the profession. The frequency with which they spoke of depression, burnout, and moral injury was striking. The contributors to this distress included crushing workloads, worsening staff shortages, and insufficient reimbursement. Consequences, both felt and anticipated, included fatigue and demoralization from the inability to manage escalating workloads. Survey findings identified responses that could alleviate the mental health crisis, namely: (1) measuring and customizing workloads based on work capacity; (2) quantifying resources needed to return to sufficient staffing levels; (3) promoting state and federal support for sustainable practice infrastructures with less administrative burden; and (4) creating patient visits of different lengths to rebuild relationships and trust and facilitate more accurate diagnoses. PRACTICAL APPLICATIONS: Attention to clinicians' mental health should be rapidly directed to on-demand, confidential mental health support so they can receive the care they need and not worry about any stigma or loss of license for accepting that help. Interventions that address work-life balance, workload, and resources can improve care, support retention of the critically important primary care workforce, and attract more trainees to primary care careers.

Storylines of family medicine XII: family medicine and the healthcare system.

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine, as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'XII: Family medicine and the future of the healthcare system', authors address the following themes: 'Leadership in family medicine', 'Becoming an academic family physician', 'Advocare-our call to act', 'The paradox of primary care and three simple rules', 'The quadruple aim-melding the patient and the health system', 'Fit-for-purpose medical workforce', 'Universal healthcare-coverage for all', 'The futures of family medicine' and 'The 100th essay.' May readers of these essays feel empowered to be part of family medicine's exciting future.

A novel methodological approach to participant engagement and policy relevance for community-based primary medical care research during the COVID-19 pandemic in Australia and New Zealand.

Community-based primary care, such as general practice (GP) or urgent care, serves as the primary point of access to healthcare for most Australians and New Zealanders. Coronavirus disease 2019 (COVID-19) has created significant and ongoing disruptions to primary care. Traditional research methods have contributed to gaps in understanding the experiences of primary care workers during the pandemic. This paper describes a novel research design and method that intended to capture the evolving impact of the COVID-19 pandemic on primary care workers in Australia and New Zealand. Recurrent, rapid cycle surveys were fielded from May 2020 through December 2021 in Australia, and May 2020 through February 2021 in New Zealand. Rapid survey development, fielding, triangulated analysis and dissemination of results allowed close to real-time communication of relevant issues among general practice workers, researchers and policy-makers. A conceptual model is presented to support longitudinal analysis of primary care worker experiences during the COVID-19 pandemic in Australia and New Zealand, and key learnings from applying this novel method are discussed. This paper will assist future research teams in development and execution of policy-relevant research in times of change and may inform further areas of interest for COVID-19 research in primary care.

Is primary care ready for a potential new public health emergency in the wake of the COVID-19 pandemic, now subsided?

INTRODUCTION: The lingering burden of the COVID-19 pandemic on primary care clinicians and practices poses a public health emergency for the United States. This study uses clinician-reported data to examine changes in primary care demand and capacity. METHODS: From March 2020 to March 2022, 36 electronic surveys were fielded among primary care clinicians responding to survey invitations as posted on listservs and identified through social media and crowd sourcing. Quantitative and qualitative analyses were performed on both closed- and open-ended survey questions. RESULTS: An average of 937 respondents per survey represented family medicine, pediatrics, internal medicine, geriatrics, and other specialties. Responses reported increases in patient health burden, including worsening chronic care management and increasing volume and complexity. A higher frequency of dental- and eyesight-related issues was noted by respondents, as was a substantial increase in mental or emotional health needs. Respondents also noted increased demand, "record high" wait times, and struggles to keep up with patient needs and the higher volume of patient questions. Frequent qualitative statements highlighted the mismatch of patient needs with practice capacity. Staffing shortages and the inability to fill open clinical positions impaired clinicians' ability to meet patient needs and a substantial proportion of respondents indicated an intention to leave the profession or knew someone who had. CONCLUSION: These data signal an urgent need to take action to support the ability of primary care to meet ongoing patient and population health care needs.

Telemedicine in Primary Care: Lessons Learned About Implementing Health Care Innovations During the COVID-19 Pandemic.

PURPOSE: During the COVID-19 pandemic, telemedicine emerged as an important tool in primary care. Technology and policy-related challenges, however, revealed barriers to adoption and implementation. This report describes the findings from weekly and monthly surveys of primary care clinicians regarding telemedicine during the first 2 years of the pandemic. METHODS: From March 2020 to March 2022, we conducted electronic surveys using convenience samples obtained through social networking and crowdsourcing. Unique tokens were used to confidentially track respondents over time. A multidisciplinary team conducted quantitative and qualitative analyses to identify key concepts and trends. RESULTS: A total of 36 surveys resulted in an average of 937 respondents per survey, representing clinicians from all 50 states and multiple specialties. Initial responses indicated general difficulties in implementing telemedicine due to poor infrastructure and reimbursement mechanisms. Over time, attitudes toward telemedicine improved and respondents considered video and telephone-based care important tools for their practice, though not a replacement for in-person care. CONCLUSIONS: The implementation of telemedicine during COVID-19 identified barriers and opportunities for technology adoption and highlighted steps that could support primary care clinics' ability to learn, adapt, and implement technology.

The Role of Primary Care in Improving Population Health.

Policy Points Systems based on primary care have better population health, health equity, and health care quality, and lower health care expenditure. Primary care can be a boundary-spanning force to integrate and personalize the many factors from which population health emerges. Equitably advancing population health requires understanding and supporting the complexly interacting mechanisms by which primary care influences health, equity, and health costs.

"Why Do They Want to Know?": A Qualitative Assessment of Caregiver Perspectives on Social Drivers of Health Screening in Pediatric Primary Care.

OBJECTIVE: Despite strong evidence that social factors have a large influence on child health, systematic screening for social needs is not performed universally in pediatric primary care. This is due to multiple barriers, including concerns about acceptability to families. This study sought to assess family acceptability of social needs screening in pediatric primary care. METHODS: Eight semi-structured focus groups were performed with English and Spanish-speaking caregivers of pediatric patients from a diverse academic medical center. Focus groups explored the acceptability of social domains including housing, education, finances, food access, and safety. Focus group transcripts were qualitatively analyzed to identify themes. RESULTS: Four salient themes emerged: 1) the acceptability of social determinants of health screening questions was tied to participants' understanding of the connection between the topic and child health, 2) families preferred a warm handoff to community services, 3) families feared child protective services intervention as a result of sharing unmet social needs, and 4) positive provider rapport was an important factor in choosing to share social needs. CONCLUSIONS: Pediatric primary care providers should feel comfortable implementing social needs screening when they can clearly explain the connection to child health. They should become knowledgeable about organizations and partners within their communities and feel empowered to connect patients to these resources.

Primary Care: A Critical Stopgap of Mental Health Services During the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic resulted in a worsening mental health crisis, while also dramatically reducing access to in-person primary care services. Primary care, an essential provider of mental health services, rapidly adopted telemedicine to address behavioral health needs. Here we examine the provision of mental health services by primary care during the pandemic, including the essential use of telemedicine. METHODS: Data were collected via a series of national, cross-sectional surveys of primary care clinicians in November 2020 by the Larry A. Green Center. The survey was distributed through a network of partner organizations and subscribers. Descriptive and chi squared analysis were utilized. RESULTS: Among 1,472 respondents, 88% reported increased mental health needs and 37% reported higher rates of substance use among patients. Most (65%) clinicians became more involved in providing mental health support, and 64% reported using telemedicine to provide behavioral health services. Phone-based care was more common for care delivery among patients who were uninsured (60% vs 42%, P < .01), Medicare beneficiaries (45% vs 36%, P < .05), non-English speaking (67% vs 40%, P < .001), and racial and ethnic minorities (58% vs 34%, P < .001). CONCLUSIONS: Primary care is a leading provider of mental health services and has played a critical role during the pandemic. Primary care clinicians have strong relationships with their patients as well as outreach within communities that may otherwise struggle to access mental health services. The use of telemedicine in primary care, and specifically phone-based services, has been an essential tool to providing equitable access to mental health services.

How the Novel Person-Centered Primary Care Measure Performs in Canada.

BACKGROUND: The Person-Centered Primary Care Measure (PCPCM) is a relatively new and concise yet comprehensive measure of primary care quality. The objectives of this study are to administer the PCPCM in Canada and to understand whether there is an association between the PCPCM and sociodemographic and patient experience measures. METHODS: The PCPCM was added to the routine patient experience survey administered at a multi-site academic primary care practice in Toronto, Canada. The survey was administered to patients with an e-mail on file and included questions on demographics, timely access, patient-centeredness, care continuity, and the PCPCM. Descriptive statistics were used to summarize the PCPCM. We used 1-way analysis of variance to determine whether there was an association between the PCPCM and patient demographics and patient experience measures at the team level. RESULTS: We analyzed 2581 survey responses. The mean PCPCM score was 3.47. The PCPCM was higher for people with better health status (P < .001), those born in Canada (P = .036), those with higher educational attainment (P = .003), and those who knew their provider for longer (P < .001). There was no significant association between PCPCM and income quintile (P = .417). The PCPCM was significantly associated with all 9 patient experience measures related to access, patient-centeredness, and care continuity (P < .001). CONCLUSIONS: The 11-item PCPCM is a feasible and meaningful measure that reflects patient-reported access, continuity, and patient-centeredness and can be incorporated into primary care patient experience surveys to evaluate and improve quality of care.

Simple Rules That Guide Generalist and Specialist Care.

The sometimes-paradoxical emergent behavior of complex systems may be explained by the interaction of simple rules. The paradox of primary care-that systems based on primary care have healthier populations, fewer health inequities, lower health care expenditures, and better system-level evidence-based disease care, despite less evidence-based care for individual diseases-may be explained by the iterative interaction among three simple rules that describe the generalist approach: (1) Recognize a broad range of problems/opportunities; (2) Prioritize attention and action with the intent of promoting health, healing, and connection; and (3) Personalize care based on the particulars of the individual or family in their local context. These are complemented by three simple rules for specialist care that represent current approaches to quality and health care system improvement: (1) Identify and classify disease for management; (2) Interpret through specialized knowledge; (3) Generate and carry out a management plan. Health care systems that support the enactment of the simple rules of the generalist approach are likely to have more effective primary and specialty care, and greater population health, equity, quality, and sustainable cost.

Exploration of the psychometric properties of the Person-Centred Primary Care Measure (PCPCM) in a Chinese primary care population in Hong Kong: a cross-sectional validation study.

OBJECTIVES: To evaluate the validity and psychometric properties of the Chinese Person-Centred Primary Care Measure (PCPCM) in a Chinese-speaking population. DESIGN: A cross-sectional study. SETTING: A primary care clinic in Hong Kong. PARTICIPANTS: 300 Chinese adult patients (150 males and 150 females) were recruited from a primary care clinic to complete a questionnaire containing the PCPCM, Consultation and Relational Empathy (CARE), Patient Enablement Index (PEI) and Adult (short version) Primary Care Assessment Tool (PCAT). The Chinese PCPCM was readministered to 118 participants after 14 days for test-retest reliability. OUTCOME MEASURES: The construct validity, reliability and sensitivity of the Chinese PCPCM. RESULTS: The Chinese PCPCM was identified to have a one-factor construct, with good item fit and unidimensionality on Rasch analysis. Internal reliability was high (Cronbach's alpha >0.8) with moderate test-retest reliability (intraclass correlation coefficient=0.622, p<0.001). Significant correlations (0.58, 0.42, 0.48) between the PCPCM and CARE, PEI and Adult (short version) PCAT scores supported good convergent construct validity. PCPCM scores were higher among patients who had known their doctors for a longer period or who were more likely to be able to see the same doctor at every visit, and among those who self-reported to have 'better health' rather than 'worse health'. CONCLUSION: The Chinese PCPCM appears to be a valid, reliable and sensitive instrument for evaluating the quality of person-centred care among primary care patients in Hong Kong. Further studies are needed to confirm the utility of this instrument in other Chinese-speaking populations around the world.

Measuring Primary Care Across 35 OECD Countries.

PURPOSE: To examine the psychometric properties and scores of the Person-Centered Primary Care Measure (PCPCM) in 28 languages and 35 Organisation for Economic Co-operation and Development (OECD) countries. METHODS: Using a paid online sampling service, we requested age- and sex-representative samples of 360 adults in each country. We administered the Person-Centered Primary Care Measure-a previously validated 11-item, patient-reported measure that was developed using what patients and clinicians said is most important about primary care. We also assessed construct validity through associations with demographics, the Patient-Enablement Instrument, number of years the person had been with their primary care physician and practice, whether the patient thought the doctor knowing the results would improve their care, and whether it was hard to complete the survey. We assessed the psychometric properties of the PCPCM in each country and report the summative and item-specific PCPCM scores for each country. RESULTS: The PCPCM exhibited solid psychometric properties across all languages and countries, with Cronbach's alphas ranging from 0.88 to 0.95, and corrected item-total correlations ranging from 0.47 to 0.81, with the vast majority of countries ranging from the low 0.50s to the high 0.70s. Multiple analyses showed strong evidence of concurrent validity. With a potential range from a low of 1 to a high of 4, the overall mean score was 2.74, with a standard deviation of 0.19. Mean PCPCM scores ranged from the lowest in Sweden (2.28) to the highest in Turkey (3.08), with Germany ranking second (3.01), and the United States third (2.99). CONCLUSION: The internal consistency and concurrent validity of the PCPCM across multiple countries provides strong evidence of the coherence of the breadth of primary care functions that patients and clinicians say are important. The diversity of total and item-specific scores across countries provokes interesting hypotheses about the influence of each different country's policies, practices, demographics, and culture on primary care, and provides a strong impetus for further ecological and individual data analyses using the Person-Centered Primary Care Measure. Annals "Online First" article.

COVID-19 and Telehealth Operations in Texas Primary Care Clinics: Disparities in Medically Underserved Area Clinics.

The COVID-19 pandemic has dramatically altered the landscape of health care delivery, prompting a rapid, widespread adoption of telehealth in primary care practices. Using a pooled sample of 1,344 primary care clinics in Texas, we examined the adoption of telehealth in Texas during the initial months of the COVID-19 pandemic, by comparing medically underserved area (MUA) clinics and non-medically underserved area (non-MUA) clinics. Our analysis suggests that compared with MUA clinics, clinics in non-MUAs were more likely to conduct a majority of their visits via telehealth before May 1st, 2020. However, later surveys indicated that differences in telehealth use between MUA and non-MUA clinics lessened, suggesting that some of the barriers that MUA clinics initially faced might have resolved over time. This research provides an additional perspective in discussions about telehealth adoption on a widespread, permanent basis in Texas and the U.S.

Changing Reasons for Visiting Primary Care Over a 35-Year Period.

OBJECTIVE: To understand changes in reasons for visit to primary care in the face of an aging population, growing evidence for proactive preventive and chronic disease services, and the rise of the chronic care model. METHODS: We examined the reason for visits to primary care physicians using the National Ambulatory Medical Care Survey (NAMCS) from 1980-2015. RESULTS: Among all physicians, the percent of visits for prevention increased from 17% in 2001 to 20% in 2015. Among visits to primary care, most continued to be for acute problems - with the percent of visits for acute illness declining over the past 15 years, after remaining steady for two decades. Preventive care visits increased from 19% in 2001 to 26% in 2015. The percent of primary care visits for chronic conditions declined between 1980 and 2000, and then remained steady, accounting for 30% in 2001 and 31% in 2015. CONCLUSIONS: Growing emphasis on chronic disease management is not reflected in the percent of primary care visits for chronic illness. This study highlights the potential utility of longitudinal data within a historical interpretive frame, while raising questions about the utility of using a main reason for visit to classify complex primary care visits.

Developing measures to capture the true value of primary care.

Primary care (PC) is an essential building block for any high quality healthcare system, and has a particularly positive impact on vulnerable patients. It contributes to the overall performance of health systems, and countries that reorient their health system towards PC are better prepared to achieve universal health coverage. Monitoring the actual performance of PC in health systems is essential health policy to support PC. However, current indicators are often too narrowly defined to account for quality of care in the complex populations with which PC deals. This article reviews a number of conceptual frameworks developed to capture PC values in robust measures and indicators that can inform policy and practice performance. Each have benefits and limitations. Further work is needed to develop meaningful primary health care (PHC) and PC measures to inform strategic action by policymakers and governments for improved overall performance of health systems.

Low-Intensity Intervention Supports Diabetes Registry Implementation: A Cluster-Randomized Trial in the Ambulatory Care Outcomes Research Network (ACORN).

BACKGROUND: Previous research demonstrated that registries are effective for improving clinical guideline adherence for the care of patients with type 2 diabetes. However, registry implementation has typically relied on intensive support (such as practice facilitators) for practice change and care improvement. OBJECTIVE: To determine whether a remotely delivered, low-intensity organizational change intervention supports implementation and use of diabetes registries in primary care. DESIGN: Cluster-randomized controlled effectiveness trial of providing limited external support leveraging internal practice resources and problem-solving capacities for driving diabetes registry implementation in 32 practices in Virginia. INTERVENTION: All practices identified local implementation champions who participated in an in-person education session on the value and use of diabetes registries, while intervention practices were also paired with peer mentors and had access to a physician informaticist, who worked remotely to assist practices with implementation. MAIN MEASURES: Practice champions reported progress on registry implementation milestone achievement, and reported practice-level organizational capacity by using a modified version of the Assessment of Chronic Illness Care (ACIC). KEY RESULTS: Intervention practices were significantly more likely to have implemented a registry (44% vs 6%, P = .04) and to have achieved more implementation milestones (5.5 vs 2.6, P < .0001) than control practices. Baseline ACIC scores indicated room for organizational improvement with regard to chronic illness care (overall median, 6.4; range, 3.8 to 10.8) and clinical information systems use (median, 6.0; range, 0 to 11) with no significant differences between intervention and control practices. CONCLUSIONS: Remotely provided guidance paired with limited in-person assistance can support rapid implementation of diabetes registries in typical primary care practices.

Cultural adaptation and content validity of a Chinese translation of the 'Person-Centered Primary Care Measure': findings from cognitive debriefing.

OBJECTIVES: To develop an equivalent Chinese translation of the Person-Centered Primary Care Measure (PCPCM) and to establish its cultural adaptability and content validity through cognitive debriefing. DESIGN: The original English PCPCM was first translated into Chinese by double forward-translation by professional translators. The reconciliated Chinese version was then doubly back-translated into English by two other professional translators blinded to the forward-translation. On affirmation on its linguistic equivalence with the developers of the original English PCPCM, the reconciliated Chinese PCPCM was sent for cognitive debriefing with 20 Chinese-speaking primary care subjects by a trained interviewer using structured probing questions to collect their opinions on the clarity, comprehensibility and relevance of each item and response option in the Measure. SETTING: Subjects were invited from a primary care clinic in Hong Kong to undergo the cognitive debriefing interviews. The interviews were divided into four groups chronologically to allow revision of the items to be made in between. PARTICIPANTS: Ten males and 10 females above the age of 18 completed the cognitive interviews. They were all Cantonese-speaking Chinese recruited by convenience sampling. Subjects with cognitive impairment, could not read Chinese, too old or too sick to complete the interviews were excluded from the study. RESULTS: An average of 3.3 min (range 3-4 min) was required for the subjects to self-complete the Measure. All items were generally perceived to be easily understood and relevant. Modifications were made to items with the content validity index (CVI) on clarity or understanding <0.8 in each round of the interviews or if a majority of the subjects suggested rewording. Revisions were made to two items in the Chinese PCPCM throughout the whole cognitive debriefing process before the final version was confirmed. The average CVI on clarity of the Chinese PCPCM items ranged from 0.75 to 1. The average CVI on understanding ranged from 0.7 to 1. The average CVI on relevance ranged from 0.55 to 1. CONCLUSIONS: The content validity of the PCPCM was ascertained in terms of its clarity, understandability and relevance to allow further testing of its psychometric properties in a larger Chinese population.