Perceived loss of support to community caregivers during the COVID-19 pandemic in the United States.

Coronavirus disease (COVID-19) had a negative impact on the health and well-being of community caregivers. Few studies examine the pandemic's negative impact on the availability of social networks of caregivers. This article uses data collected during COVID-19 before vaccination to examine caregivers' reports of perceived lost and reduced network support. We assessed the personal networks of a nationally representative sample of 2214 community caregivers in the United States. We analyzed associations between caregiving factors and caregivers' perceptions of lost and reduced network support. Changes in care recipient living circumstances during COVID-19, longer-term caregiving, care recipient hearing/vision/mobility problems, caregiver travel/socializing restrictions, caregiver race/ethnicity, caregiver income, caregiver age, network connectivity, family relationships, and network members' age were associated with perceived lost/reduced support during the pandemic. Findings provide insights for the development of social network interventions to support caregivers and help them cultivate support networks resilient to public health crises.

Increased Care Provision and Caregiver Wellbeing: Moderation by Changes in Social Network Care Provision.

OBJECTIVES: Previous research links increased care provision to worse wellbeing among family and friend caregivers, both before and during the coronavirus disease 2019 (COVID-19) pandemic. We expand on this by incorporating data on caregivers' social networks and exploring the relationships between own and network changes in care during the pandemic and caregiver wellbeing. METHODS: We use nationally representative data from 1,876 family and friend caregivers in the first wave of our Care Network Connections over Time study (fielded 12/17/2020-1/4/2021) who had provided care continuously since before the COVID-19 pandemic began. Caregivers were asked about the amount of care that they and each member of their social networks were providing at the time of the survey relative to before the pandemic. We use multivariate regression models to examine the associations between five caregiver wellbeing outcomes and changes in care, and explore the moderating role of networks' changes in care. RESULTS: Among caregivers who had provided care since prior to the pandemic, most increased (42.0%) or maintained the same (40.8%) care. Their networks also typically increased (33.4%) or maintained (46.5%) care. Increasing one's own care provision was associated with higher levels of anxiety, depression, loneliness, and emotional difficulty than maintaining stable care. Among those who increased care, these levels were highest when the network also increased or decreased care. DISCUSSION: Increased care provision was most strongly associated with poor caregiver wellbeing in contexts where caregivers' social networks also changed care provisions. Supports for caregivers undertaking additional care tasks should take into account caregivers' networks.

Change in Caregiving to Older Adults During the COVID-19 Pandemic: Differences by Dementia Status.

We use a nationally representative study of 3451 adults who provided assistance to a relative or friend age 50 or older immediately prior to the Coronavirus Disease 2019 (COVID-19) pandemic to explore changes to care provisions, use of services, and support networks. While we see turnover in assistance during a retrospectively assessed 12-month time period, respondents exited or adopted caregiving roles primarily for reasons unrelated to the pandemic. About two thirds of caregivers' social networks remained unchanged and, of those that did change, only half lost network members without gaining others. Changes in care settings and use of support services were uncommon. Caregivers to persons with dementia may have been more adversely affected than other caregivers as they were more likely to experience loss of social ties, potentially performing more care activities without the full support system they had in place prior to the pandemic.

Visit Frequency and Outcomes for Patients Using Ongoing Chiropractic Care for Chronic Low-Back and Neck Pain: An Observational Longitudinal Study.

BACKGROUND: Chronic spinal pain is prevalent and long-lasting. Although provider-based nonpharmacologic therapies, such as chiropractic care, have been recommended, healthcare and coverage policies provide little guidance or evidence regarding long-term use of this care. OBJECTIVE: To determine the relationships between visit frequency and outcomes for patients using ongoing chiropractic care for chronic spinal pain. STUDY DESIGN: Observational 3-month longitudinal study. SETTING: Data collected from patients of 124 chiropractic clinics in 6 United States regions. METHODS: We examined the impact of visit frequency and patient characteristics on pain (pain 0-10 numeric rating scale) and functional outcomes (Oswestry Disability Index [ODI] for low-back pain and Neck Disability Index [NDI] for neck pain, both 0-100 scale) using hierarchical linear modeling (HLM) in a large national sample of chiropractic patients with chronic low back pain (CLBP) and/or chronic neck pain (CNP). This study was approved by the RAND Human Subjects Protection Committee and registered under ClinicalTrials.gov Identifier: NCT03162952. RESULTS: One thousand, three hundred, sixty-two patients with CLBP and 1,214 with CNP were included in a series of HLM models. Unconditional (time-only) models showed patients on average had mild pain and function, and significant, but slight improvements in these over the 3-month observation period: back and neck pain decreased by 0.40 and 0.44 points, respectively; function improved by 2.7 (ODI) and 3.0 points (NDI) (all P < 0.001). Adding chiropractic visit frequency to the models revealed that those with worse baseline pain and function used more visits, but only visits more than once per week for those with CLBP were associated with significantly better improvement. These relationships remained when other types of visits and baseline patient characteristics were included. LIMITATIONS: This is an observational study based on self-reported data from a sample representative of chiropractic patients, but not all patients with CLBP or CNP. CONCLUSIONS: This 3-month window on chiropractic patients with CLBP and/or CNP revealed that they were improving, although slowly; may have reached maximum therapeutic improvement; and are possibly successfully managing their chronic pain using a variety of chiropractic visit frequencies. These results may inform payers when building coverage policies for ongoing chiropractic care for patients with chronic pain.

Predictors of visit frequency for patients using ongoing chiropractic care for chronic low back and chronic neck pain; analysis of observational data.

BACKGROUND: Chronic spinal pain is prevalent, expensive and long-lasting. Several provider-based nonpharmacologic therapies have now been recommended for chronic low-back pain (CLBP) and chronic neck pain (CNP). However, healthcare and coverage policies provide little guidance or evidence regarding the long-term use of this care. To provide one glimpse into the long-term use of nonpharmacologic provider-based care, this study examines the predictors of visit frequency in a large sample of patients with CLBP and CNP using ongoing chiropractic care. METHODS: Observational data were collected from a large national sample of chiropractic patients in the US with non-specific CLBP and CNP. Visit frequency was defined as average number of chiropractic visits per month over the 3-month study period. Potential baseline predictor variables were entered into two sets of multi-level models according to a defined causal theory-in this case, Anderson's Behavioral Model of Health Services Use. RESULTS: Our sample included 852 patients with CLBP and 705 with CNP. Visit frequency varied significantly by chiropractor/clinic, so our models controlled for this clustering. Patients with either condition used an average of 2.3 visits per month. In the final models visit frequency increased (0.44 visits per month, p = .008) for those with CLBP and some coverage for chiropractic, but coverage had little effect on visits for patients with CNP. Patients with worse function or just starting care also had more visits and those near to ending care had fewer visits. However, visit frequency was also determined by the chiropractor/clinic where treatment was received. Chiropractors who reported seeing more patients per day also had patients with higher visit frequency, and the patients of chiropractors with 20 to 30 years of experience had fewer visits per month. In addition, after controlling for both patient and chiropractor characteristics, the state in which care was received made a difference, likely through state-level policies and regulations. CONCLUSIONS: Chiropractic patients with CLBP and CNP use a range of visit frequencies for their ongoing care. The predictors of these frequencies could be useful for understanding and developing policies for ongoing provider-based care.

Prevalence and Characteristics of Chronic Spinal Pain Patients with Different Hopes (Treatment Goals) for Ongoing Chiropractic Care.

Objectives: The treatment goals of patients successfully using ongoing provider-based care for chronic spinal pain can help inform health policy related to this care. Design: Multinomial logistical hierarchical linear models were used to examine the characteristics of patients with different treatment goals for their ongoing care. Settings/Location: Observational data from a large national sample of patients from 125 chiropractic clinics clustered in 6 U.S. regions. Subjects: Patients with nonwork-injury-related nonspecific chronic low-back pain (CLBP) and chronic neck pain (CNP). Interventions: All were receiving ongoing chiropractic care. Outcome measures: Primary outcomes were patient endorsement of one of four goals for their treatment. Explanatory variables included pain characteristics, pain beliefs, goals for mobility/flexibility, demographics, and other psychological variables. Results: Across our sample of 1614 patients (885 with CLBP and 729 with CNP) just under one-third endorsed a treatment goal of having their pain go away permanently (cure). The rest had goals of preventing their pain from coming back (22% CLBP, 16% CNP); preventing their pain from getting worse (14% CLBP, 12% CNP); or temporarily relieving their pain (31% CLBP, 41% CNP). In univariate analysis across these goals, patients differed significantly on almost all variables. In the multinomial logistic models, a goal of cure was associated with shorter pain duration and more belief in a medical cure; a goal of preventing pain from coming back was associated with lower pain levels; and those with goals of preventing their pain from getting worse or temporarily relieving pain were similar, including in having their pain longer. Conclusions: Although much of health policy follows a curative model, the majority of these CLBP and CNP patients have goals of pain management (using ongoing care) rather than "cure" (care with a specific end) for their chiropractic care. This information could be useful in crafting policy for patients facing provider-based nonpharmacologic care for chronic pain.

Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure: The Better Effectiveness After Transition -- Heart Failure (BEAT-HF) Randomized Clinical Trial.

IMPORTANCE: It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization. OBJECTIVE: To evaluate the effectiveness of a care transition intervention using remote patient monitoring in reducing 180-day all-cause readmissions among a broad population of older adults hospitalized with HF. DESIGN, SETTING, AND PARTICIPANTS: We randomized 1437 patients hospitalized for HF between October 12, 2011, and September 30, 2013, to the intervention arm (715 patients) or to the usual care arm (722 patients) of the Better Effectiveness After Transition-Heart Failure (BEAT-HF) study and observed them for 180 days. The dates of our study analysis were March 30, 2014, to October 1, 2015. The setting was 6 academic medical centers in California. Participants were hospitalized individuals 50 years or older who received active treatment for decompensated HF. INTERVENTIONS: The intervention combined health coaching telephone calls and telemonitoring. Telemonitoring used electronic equipment that collected daily information about blood pressure, heart rate, symptoms, and weight. Centralized registered nurses conducted telemonitoring reviews, protocolized actions, and telephone calls. MAIN OUTCOMES AND MEASURES: The primary outcome was readmission for any cause within 180 days after discharge. Secondary outcomes were all-cause readmission within 30 days, all-cause mortality at 30 and 180 days, and quality of life at 30 and 180 days. RESULTS: Among 1437 participants, the median age was 73 years. Overall, 46.2% (664 of 1437) were female, and 22.0% (316 of 1437) were African American. The intervention and usual care groups did not differ significantly in readmissions for any cause 180 days after discharge, which occurred in 50.8% (363 of 715) and 49.2% (355 of 722) of patients, respectively (adjusted hazard ratio, 1.03; 95% CI, 0.88-1.20; P = .74). In secondary analyses, there were no significant differences in 30-day readmission or 180-day mortality, but there was a significant difference in 180-day quality of life between the intervention and usual care groups. No adverse events were reported. CONCLUSIONS AND RELEVANCE: Among patients hospitalized for HF, combined health coaching telephone calls and telemonitoring did not reduce 180-day readmissions. TRIAL REGISTRATION: clinicaltrials.gov Identifier: NCT01360203.

Improving patient satisfaction through physician education, feedback, and incentives.

BACKGROUND: Patient satisfaction has been associated with improved outcomes and become a focus of reimbursement. OBJECTIVE: Evaluate an intervention to improve patient satisfaction. DESIGN: Nonrandomized, pre-post study that took place from 2011 to 2012. SETTING: Large tertiary academic medical center. PARTICIPANTS: Internal medicine (IM) resident physicians, non-IM resident physicians, and adult patients of the resident physicians. INTERVENTION: IM resident physicians were provided with patient satisfaction education through a conference, real-time individualized patient satisfaction score feedback, monthly recognition, and incentives for high patient-satisfaction scores. MAIN MEASURES: Patient satisfaction on physician-related and overall satisfaction questions on the HCAHPS survey. We conducted a difference-in-differences regression analysis comparing IM and non-IM patient responses, adjusting for differences in patient characteristics. KEY RESULTS: In our regression analysis, the percentage of patients who responded positively to all 3 physician-related Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) questions increased by 8.1% in the IM and 1.5% in the control cohorts (absolute difference 6.6%, P = 0.04). The percentage of patients who would definitely recommend this hospital to friends and family increased by 7.1% in the IM and 1.5% in the control cohorts (absolute difference 5.6%, P = 0.02). The national average for the HCAHPS outcomes studied improved by no more than 3.1%. LIMITATIONS: This study was nonrandomized and was conducted at a single site. CONCLUSION: To our knowledge, this is the first intervention associated with a significant improvement in HCAHPS scores. This may serve as a model to increase patient satisfaction, hospital revenue, and train resident physicians.

Association of Medicare Part D low-income cost subsidy program enrollment with increased fill adherence to clopidogrel after coronary stent placement.

STUDY OBJECTIVE: To determine the association between enrollment in the Medicare Part D low-income subsidy (LIS) program, which reduces out-of-pocket medication costs, and fill adherence to the antiplatelet drug clopidogrel after coronary stent placement. DESIGN: Retrospective cohort study. DATA SOURCE: Pharmacy claims database of a large national Medicare Part D insurer. PATIENTS: We selected a total of 2967 beneficiaries of a national Medicare Part D plan who had a coronary stent placed between April and December 2006 and were prescribed clopidogrel but were not preexisting users of clopidogrel. Of these patients, 504 were enrolled in the LIS program and 2463 were not. MEASUREMENTS AND MAIN RESULTS: We defined LIS status as enrollment in the LIS program at any point during the 12 months after the procedure. We examined the association between LIS status and good medication fill adherence to clopidogrel, defined as proportion of days covered of 80% or more, or discontinuation of clopidogrel over the 12-month window starting from the date of their stent placement. We also identified patients with claims-based diagnoses of major bleeding events while taking clopidogrel. For those patients, we calculated fill adherence only for the period between medication initiation and the onset of major bleeding and/or did not classify them as having inappropriately discontinued the medication. We created a propensity score predicting the propensity of being eligible for the LIS benefit and used inverse propensity score weighting with regression adjustment to generate estimates of the effect parameters. LIS enrollment was associated with a higher predicted likelihood of good clopidogrel fill adherence after stent placement (54.8% for LIS enrollees vs 47.6% for non enrollees; p=0.008). No significant difference was noted between the two groups in predicted risk of discontinuing clopidogrel after stent placement (18.3% for LIS enrollees vs 21.0% for non enrollees; p=0.21). CONCLUSION: The LIS benefit was associated with better clopidogrel fill adherence after stent placement. Although clopidogrel is now available in generic form, our work underscores the need for efforts to identify and enroll patients in the LIS benefit who require costly antiplatelet medications for coronary heart disease.

Spillover effects of community uninsurance on awareness, treatment, and control of hypertension among insured adults.

BACKGROUND: Although studies have shown that a high rate of uninsurance in a community reduces access to and satisfaction with health care among the insured population, little is known about whether the community uninsurance rate also affects quality of care and clinical outcomes among the insured. OBJECTIVE: To assess the spillover effects of the rate of uninsurance in a community on the awareness, treatment, and control of hypertension, a chronic condition responsible for substantial morbidity and mortality in the United States, among insured adults. RESEARCH DESIGN: NHANES III (1988-1994) and the 1999-2010 NHANES were linked to data from the Current Population Survey, Area Resource File, and InterStudy Competitive Edge. Multivariate probit regression models used 2 alternative estimation approaches: (1) maximum likelihood estimation, and (2) 2-stage residual inclusion estimation, an instrumental variables method. MAIN OUTCOME MEASURES: Six dichotomous outcomes included: awareness among all subjects with hypertension; treatment among all subjects with hypertension and among subjects who were aware of their condition; and control among all subjects with hypertension, among subjects who were aware of their condition, and among subjects receiving treatment. RESULTS: A 10 percentage point increase in the community uninsurance rate reduced the probability of receiving antihypertensive medications by 4.2 percentage points among insured hypertensive adults and by 5.5 percentage points among insured hypertensive adults who were aware of their hypertension. A 10 percentage point increase in the community uninsurance rate also resulted in a 6.8 percentage point decline in the probability of blood pressure control among insured hypertensive adults who were aware of their condition. CONCLUSIONS: Nationally, the Affordable Care Act is expected to reduce the number of uninsured by >30 million by 2016, although changes will be experienced by communities to a greater or lesser extent depending on the existing numbers and characteristics of the uninsured in the area and the ways in which health care reform is implemented. Our results suggest that reductions in the community uninsurance rate have the potential to improve quality of care and clinical outcomes among the insured.

Income eligibility thresholds, premium contributions, and children's coverage outcomes: a study of CHIP expansions.

OBJECTIVE: To understand the effects of Children's Health Insurance Program (CHIP) income eligibility thresholds and premium contribution requirements on health insurance coverage outcomes among children. DATA SOURCES: 2002-2009 Annual Social and Economic Supplements of the Current Population Survey linked to data from multiple secondary data sources. STUDY DESIGN: We use a selection correction model to simultaneously estimate program eligibility and coverage outcomes conditional upon eligibility. We simulate the effects of three premium schedules representing a range of generosity levels and the effects of income eligibility thresholds ranging from 200 to 400 percent of the federal poverty line. PRINCIPAL FINDINGS: Premium contribution requirements decrease enrollment in public coverage and increase enrollment in private coverage, with larger effects for greater contribution levels. Our simulation results suggest minimal changes in coverage outcomes from eligibility expansions to higher income families under premium schedules that require more than a modest contribution (medium or high schedules). CONCLUSIONS: Our simulation results are useful counterpoints to previous research that has estimated the average effect of program expansions as they were implemented without disentangling the effects of premiums or other program features. The sensitivity to premiums observed suggests that although contribution requirements may be effective in reducing crowd-out, they also have the potential, depending on the level of contribution required, to nullify the effects of CHIP expansions entirely. The persistence of uninsurance among children under the range of simulated scenarios points to the importance of Affordable Care Act provisions designed to make the process of obtaining coverage transparent and navigable.

Take-up of public insurance and crowd-out of private insurance under recent CHIP expansions to higher income children.

OBJECTIVE: To analyze the effects of states' expansions of Children's Health Insurance Program (CHIP) eligibility to children in higher income families on health insurance coverage outcomes. DATA SOURCES: 2002-2009 Current Population Survey linked to multiple secondary data sources. STUDY DESIGN: Instrumental variables estimation of linear probability models. Outcomes are whether the child had any public insurance, any private insurance, or no insurance coverage during the year. PRINCIPAL FINDINGS: Among children in families with incomes between two and four times the federal poverty line (FPL), four enrolled in CHIP for every 100 who became eligible. Roughly half of the newly eligible children who took up public insurance were previously uninsured. The upper bound "crowd-out" rate was estimated to be 46 percent. CONCLUSIONS: The CHIP expansions to children in higher income families were associated with limited uptake of public coverage. Our results additionally suggest that there was crowd-out of private insurance coverage.

Education Differences in Intended and Unintended Fertility.

Using a hazards framework and panel data from the National Longitudinal Survey of Youth (1979-2004), we analyze the fertility patterns of a recent cohort of white and black women in the United States. We examine how completed fertility varies by women's education, differentiating between intended and unintended births. We find that the education gradient on fertility comes largely from unintended childbearing, and it is not explained by child-bearing desires or opportunity costs, the two most common explanations in previous research. Less-educated women want no more children than the more educated, so this factor explains none of their higher completed fertility. Less-educated women have lower wages, but wages have little of the negative effect on fertility predicted by economic theories of opportunity cost. We propose three other potential mechanisms linking low education and unintended childbearing, focusing on access to contraception and abortion, relational and economic uncertainty, and consistency in the behaviors necessary to avoid unintended pregnancies. Our work highlights the need to incorporate these mechanisms into future research.