Background

Given the rising costs of health care, policymakers are increasingly interested in identifying the inefficiencies in our health care system. The objective of this study was to determine whether the overuse and misuse of health care services in the ambulatory setting has decreased in the past decade.

Methods

Cross-sectional analysis of the 1999 and 2009 National Ambulatory Medical Care Survey and the outpatient department component of the National Hospital Ambulatory Medical Care Survey, which are nationally representative annual surveys of visits to non-federally funded ambulatory care practices. We applied 22 quality indicators using a combination of current quality measures and guideline recommendations. The main outcome measures were the rates of underuse, overuse, and misuse and their 95% CIs.

Results

We observed a statistically significant improvement in 6 of 9 underuse quality indicators. There was an improvement in the use of antithrombotic therapy for atrial fibrillation; the use of aspirin, β-blockers, and statins in coronary artery disease; the use of β-blockers in congestive heart failure; and the use of statins in diabetes mellitus. We observed an improvement in only 2 of 11 overuse quality indicators, 1 indicator became worse, and 8 did not change. There was a statistically significant decrease in the overuse of cervical cancer screening in visits for women older than 65 years and in the overuse of antibiotics in asthma exacerbations. However, there was an increase in the overuse of prostate cancer screening in men older than 74 years. Of the 2 misuse indicators, there was a decrease in the proportion of patients with a urinary tract infection who were prescribed an inappropriate antibiotic.

Conclusions

We found significant improvement in the delivery of underused care but more limited changes in the reduction of inappropriate care. With the high cost of health care, these results are concerning.

Homebound older adults are a highly vulnerable population, yet little is known about their experiences with healthcare during the COVID-19 pandemic. We interviewed patients in home-based primary care (HBPC) in New York City by telephone in May and June of 2020. Interviews covered social supports, household activities, self-care, and medical care, and asked participants to compare current with prepandemic experiences. Among 70 participants, 37% were Black and 32% were Hispanic. Disruptions in the home included greater difficulty accessing paid caregivers (13.9%) and food (35.3%) than before the pandemic, and unaddressed household chores (laundry, 81.4%; food preparation, 11.4%). Black study participants were more likely than White and Hispanic participants to report disruptions in accessing medical care (13 [50.0%] vs. 3 [14.3%] vs. 6 [27.3%], respectively, p = 0.02), as well as food preparation and medication taking. Black patients in HBPC are at risk of disparities in healthcare and social support during the COVID-19 pandemic.

Background/objectives

COVID-19 required rapid innovation throughout the healthcare system. Home-based primary care (HBPC) practices faced unique challenges maintaining services for medically complex older populations for whom they needed to adapt a traditionally hands-on, model of care to accommodate restrictions on in-person contact. Our aim was to determine strategies used by New York City (NYC)-area HBPC practices to provide patient care during the first wave of the COVID-19 pandemic with the goal of informing planning and preparation for home-based practices nationwide.

Design

Cross-sectional qualitative design using semi-structured interviews.

Setting

HBPC practices in the NYC metro area during spring 2020.

Participants

HBPC leadership including clinical/medical directors, program managers, nurse practitioners/nursing coordinators, and social workers/social work coordinators (n = 13) at 6 NYC-area practices.

Measurements

Semi-structured interviews explored HBPC practices' COVID-19 care delivery challenges, adaptations, and advice for providers. Interviewers probed patient care, end-of-life care, telehealth, community-based services and staffing. Interviews were recorded and transcribed. Data were analyzed through a combined inductive and deductive thematic approach.

Results

Participants described care delivery and operational adaptations similar to those universally adopted across healthcare settings during COVID-19, such as patient outreach and telehealth. HBPC-specific adaptations included mental health services for patients experiencing depression and isolation, using multiple modalities of patient interactions to balance virtual care with necessary in-person contact, strategies to maintain patient trust, and supporting team connection of staff through daily huddles and emotional support during the surge of deaths among long-standing patients.

Conclusion

NYC-area HBPC providers adapted care delivery and operations rapidly during the height of the COVID-19 pandemic. Keeping older, medically complex patients safe in their homes required considerable flexibility, transparency, teamwork, and partnerships with outside providers. As the pandemic continues to surge around the United States, HBPC providers may apply these lessons and consider resources needed to prepare for future challenges.

Background

Current 30-day readmission models used by the Center for Medicare and Medicaid Services for the purpose of hospital-level comparisons lack measures of socioeconomic status (SES). We examined whether the inclusion of an SES measure in 30-day congestive heart failure readmission models changed hospital risk-standardized readmission rates in New York City (NYC) hospitals.

Methods and results

Using a Centers for Medicare & Medicaid Services (CMS)-like model, we estimated 30-day hospital-level risk-standardized readmission rates by adjusting for age, sex, and comorbid conditions. Next, we examined how hospital risk-standardized readmission rates changed relative to the NYC mean with inclusion of the Agency for Healthcare Research and Quality (AHRQ)-validated SES index score. In a secondary analysis, we examined whether inclusion of the AHRQ SES index score in 30-day readmission models disproportionately impacted the risk-standardized readmission rates of minority-serving hospitals. Higher AHRQ SES scores, indicators of higher SES, were associated with lower odds (0.99) of 30-day readmission (P<0.019). The addition of the AHRQ SES index did not change the model's C statistic (0.63). After adjustment for the AHRQ SES index, 1 hospital changed status from worse than the NYC average to no different than the NYC average. After adjustment for the AHRQ SES index, 1 NYC minority-serving hospital was reclassified from worse to no different than average.

Conclusions

Although patients with higher SES were less likely to be admitted, the impact of SES on readmission was small. In NYC, inclusion of the AHRQ SES score in a CMS-based model did not impact hospital-level profiling based on 30-day readmission.

Research on professional burnout during the pandemic has focused on hospital-based health care workers. This study examined the psychological impact of the pandemic on home-based primary care (HBPC) providers. We interviewed 13 participants from six HBPC practices in New York City including medical/clinical directors, program managers, nurse practitioners, and social workers and analyzed the transcripts using inductive qualitative analysis approach. HBPC providers experienced emotional exhaustion and a sense of reduced personal accomplishment. They reported experiencing grief of losing many patients at once and pressure to adapt to changing circumstances quickly. They also reported feeling guilty for failing to protect their patients and reduced confidence in their professional expertise. Strategies to combat burnout included shorter on-call schedules, regular condolence meetings to acknowledge patient deaths, and peer support calls. Our study identifies potential resources to improve the well-being and reduce the risk of burnout among HBPC providers.

The rapid deployment of video visits during COVID-19 may have posed unique challenges for home-based primary care (HBPC) practices due to their hands-on model of care and older adult population. This qualitative study examined provider perceptions of video visits during the first wave of the COVID-19 crisis in New York City (NYC) through interviews with HBPC clinical/medical directors, program managers, nurse practitioners/nurse managers, and social work managers (n = 13) at six NYC-area practices. Providers reported a combination of commercial (health system-supported) and consumer (e.g., FaceTime) technological platforms was essential. Video visit benefits included triaging patient needs, collecting patient information, and increasing scheduling capacity. Barriers included cognitive and sensory abilities, technology access, reliance on caregivers and aides, addressing sensitive topics, and incomplete exams. Effectively integrating video visits requires considering how technology can be proactively integrated into practice. A policy that promotes platform flexibility will be crucial in fostering video integration.

Importance

Increasing numbers of older, community-dwelling adults have functional impairments that prevent them from leaving their homes. It is uncertain how many people who live in the United States are homebound.

Objectives

To develop measures of the frequency of leaving and ability to leave the home and to use these measures to estimate the size of the homebound population in the US population.

Design, setting, and participants

Cross-sectional data from the National Health and Aging Trends Study collected in 2011 in the contiguous United States. Participants were a nationally representative sample of 7603 noninstitutionalized Medicare beneficiaries 65 years and older.

Main outcomes and measures

We defined homebound persons as those who never (completely homebound) or rarely (mostly homebound) left the home in the last month. We defined semihomebound persons as those who only left the home with assistance or had difficulty or needed help leaving the home. We compared demographic, clinical, and health care utilization characteristics across different homebound status categories.

Results

In 2011, the prevalence of homebound individuals was 5.6% (95% CI, 5.1%-6.2%), including an estimated 395,422 people who were completely homebound and 1,578,984 people who were mostly homebound. Among semihomebound individuals, the prevalence of those who never left home without personal assistance was 3.3% (95% CI, 2.8%-3.8%), and the prevalence of those who required help or had difficulty was 11.7% (95% CI, 10.9%-12.6%). Completely homebound individuals were more likely to be older (83.2 vs 74.3 years, P < .001), female (67.9% vs 53.4%, P < .006), and of nonwhite race (34.1% vs 17.6%, P < .001) and have less education and income than nonhomebound individuals. They also had more chronic conditions (4.9 vs 2.5) and were more likely to have been hospitalized in the last 12 months (52.1% vs 16.2%) (P < .001 for both). Only 11.9% of completely homebound individuals reported receiving primary care services at home.

Conclusions and relevance

In total, 5.6% of the elderly, community-dwelling Medicare population (approximately 2 million people) were completely or mostly homebound in 2011. Our findings can inform improvements in clinical and social services for these individuals.

Objectives

Approximately 7.5 million US adults are homebound or have difficulty accessing office-based primary care. Home-based primary care (HBPC) provides such patients access to longitudinal medical care at home. The purpose of this study was to describe the challenges and adaptations by HBPC practices made during the first surge of the COVID-19 pandemic.

Design

Mixed-methods national survey.

Setting and participants

HBPC practices identified as members of the American Academy of Homecare Medicine (AAHCM) or participants of Home-Centered Care Institute (HCCI) training programs.

Methods

Online survey regarding practice responses to COVID-19 surges, COVID-19 testing, the use of telemedicine, practice challenges due to COVID-19, and adaptations to address these challenges. Descriptive statistics and t tests described frequency distributions of nominal and categorical data; qualitative content analysis was used to summarize responses to the open-ended questions.

Results

Seventy-nine practices across 29 states were included in the final analyses. Eighty-five percent of practices continued to provide in-person care and nearly half cared for COVID-19 patients. Most practices pivoted to new use of video visits (76.3%). The most common challenges were as follows: patient lack of familiarity with telemedicine (81.9%), patient anxiety (77.8%), clinician anxiety (69.4%), technical difficulties reaching patients (66.7%), and supply shortages including masks, gown, and disinfecting materials (55.6%). Top adaptive strategies included using telemedicine (95.8%), reducing in-person visits (81.9%), providing resources for patients (52.8%), and staff training in PPE use and COVID testing (52.8%).

Conclusions and implications

HBPC practices experienced a wide array of COVID-19-related challenges. Most continued to see patients in the home, augmented visits with telemedicine and creatively adapted to the challenges. An increased recognition of the need for in-home care by health systems who observed its critical role in caring for fragile older adults may serve as a silver lining to the otherwise dark sky of the COVID-19 pandemic.

Objectives

To examine the effect of the relationship between literacy and other individual-level factors on having an advance directive (AD).

Design

Face-to-face structured interview.

Setting

Participants were recruited from an academic general internal medicine clinic and one of four federally qualified health centers in Chicago.

Participants

Seven hundred eighty-four adults aged 55 to 74.

Measurements

Assessment of participant literacy, sociodemographic factors, and having an AD for medical care.

Results

One-eighth (12.4%) of participants with low literacy, 26.6% of those with marginal literacy, and 49.5% of those with adequate literacy reported having an AD (P < .001). In multivariable analyses, literacy and race were independently associated with less likelihood of having an AD. Specifically, participants with limited literacy (risk ratio (RR) = 0.45, 95% confidence interval (CI) = 0.22-0.95) and African Americans (RR = 0.64, 95% CI = 0.47-0.88) were less likely to have an AD. Exploratory analyses showed that there was not a significant interaction between the effect of literacy and race.

Conclusion

Limited literacy and African-American race were significant risk factors for not having an AD in this cohort of older adults. Literacy and race probably represent two separate but important causal pathways that need to be understood to improve how the healthcare system ascertains and protects individuals' advance care preferences.