Limitations With California Medicaid Data for Palliative and End of Life Care Quality Measures.

In 2014 the California legislature passed Senate Bill 1004 (SB 1004) that was designed to expand access to specialty palliative care for individuals served by California's Medicaid (known as Medi-Cal) Managed Care Plans (MCPs). The California Department of Health Care Services (DHCS) operationalized the legislation by developing minimum requirements for palliative care programs that all MCPs must meet or exceed.7 Quality and utilization data specific to California's Medicaid population are needed for stakeholders to identify care deficiencies and disparities, describe the end of life experience and utilization patterns of MCP members, compare these patterns to Medicare beneficiaries or other populations, and set appropriate targets to help monitor progress. We evaluated the feasibility of using Medicaid claims data and encounter data either by partnering with MCPs or by obtaining statewide data from DHCS to measure the quality of palliative care and end of life care. In a concurrent but separate effort, we analyzed administrative data supplied by three MCPs as part of a prospective pilot of standards for home-based palliative care in California, including care delivered to Medicaid beneficiaries under SB 1004. Beyond the practical challenges of allowing time for data access and approvals, both projects revealed several limitations to using administrative data to assess quality of palliative and end of life care for a Medicaid population. We describe these challenges that undermined our confidence in analysis results and propose solutions to measuring the quality of palliative and end of life care for Medicaid patients and suggested next steps.

Association between physician age and patterns of end-of-life care among older Americans.

BACKGROUND: End-of-life (EOL) care patterns may differ by physician age given differences in how physicians are trained or changes associated with aging. We sought to compare patterns of EOL care delivered to older Americans according to physician age. METHODS: We conducted a cross-sectional study of a 20% sample of Medicare fee-for-service beneficiaries aged ≥66 years who died in 2016-2019 (n = 487,293). We attributed beneficiaries to the physician who had >50% of primary care visits during the last 6 months of life. We compared beneficiary-level outcomes by physician age (<40, 40-49, 50-59, or ≥60) in two areas: (1) advance care planning (ACP) and palliative care; and (2) high-intensity care at the EOL. RESULTS: Beneficiaries attributed to younger physicians had slightly higher proportions of billed ACP (adjusted proportions, 17.1%, 16.1%, 15.5%, and 14.0% for physicians aged <40, 40-49, 50-59, and ≥60, respectively; p-for-trend adjusted for multiple comparisons <0.001) and palliative care counseling or hospice use in the last 180 days of life (64.5%, 63.6%, 61.9%, and 60.8%; p-for-trend <0.001). Similarly, physicians' younger age was associated with slightly lower proportions of emergency department visits (57.4%, 57.0%, 57.4%, and 58.1%; p-for-trend <0.001), hospital admissions (51.2%, 51.1%, 51.4%, and 52.1%; p-for-trend <0.001), intensive care unit admissions (27.8%, 27.9%, 28.2%, and 28.3%; p-for-trend = 0.03), or mechanical ventilation or cardiopulmonary resuscitation (14.2, 14.9%, 15.2%, and 15.3%; p-for-trend <0.001) in the last 30 days of life, and in-hospital death (20.2%, 20.6%, 21.3%, and 21.5%; p-for-trend <0.001). CONCLUSIONS: We found that differences in patterns of EOL care between beneficiaries cared for by younger and older physicians were small, and thus, not clinically meaningful. Future research is warranted to understand the factors that can influence patterns of EOL care provided by physicians, including initial and continuing medical education.

An Integrative Review of the State of POLST Science: What Do We Know and Where Do We Go?

OBJECTIVES: POLST is widely used in the care of seriously ill patients to document decisions made during advance care planning (ACP) conversations as actionable medical orders. We conducted an integrative review of existing research to better understand associations between POLST use and key ACP outcomes as well as to identify directions for future research. DESIGN: Integrative review. SETTING AND PARTICIPANTS: Not applicable. METHODS: We queried PubMed and CINAHL databases using names of POLST programs to identify research on POLST. We abstracted study information and assessed study design quality. Study outcomes were categorized using the international ACP Outcomes Framework: Process, Action, Quality of Care, Health Status, and Healthcare Utilization. RESULTS: Of 94 POLST studies identified, 38 (40%) had at least a moderate level of study design quality and 15 (16%) included comparisons between POLST vs non-POLST patient groups. There was a significant difference between groups for 40 of 70 (57%) ACP outcomes. The highest proportion of significant outcomes was in Quality of Care (15 of 19 or 79%). In subdomain analyses of Quality of Care, POLST use was significantly associated with concordance between treatment and documentation (14 of 18 or 78%) and preferences concordant with documentation (1 of 1 or 100%). The Action outcome domain had the second highest positive rate among outcome domains; 9 of 12 (75%) Action outcomes were significant. Healthcare Utilization outcomes were the most frequently assessed and approximately half (16 of 35 or 46%) were significant. Health Status outcomes were not significant (0 of 4 or 0%), and no Process outcomes were identified. CONCLUSIONS AND IMPLICATIONS: Findings of this review indicate that POLST use is significantly associated with a Quality of Care and Action outcomes, albeit in nonrandomized studies. Future research on POLST should focus on prospective mixed methods studies and high-quality pragmatic trials that assess a broad range of person and health system-level outcomes.

Consequences of a Health System Not Knowing Which Patients Are Deceased.

This quality improvement study in a California health system investigates the proportion of active patients who were deceased but not noted as such in the electronic health record (EHR), as well as encounters after death.

Relationship of POLST to Hospitalization and ICU Care Among Nursing Home Residents in California.

BACKGROUND: Physician Orders for Life Sustaining Treatment (POLST) document instructions for intensity of care based upon patient care preferences. POLST forms generally reflect patients' wishes and dictate subsequent medical care, but it is not known how POLST use and content among nursing home residents is associated with inpatient utilization across a large population. OBJECTIVE: Evaluate the relationship between POLST use and content with hospital utilization among nursing home residents in California. DESIGN: Retrospective cohort study using the Minimum Data Set linked to California Section S (POLST documentation), the Medicare Beneficiary Summary File, and Medicare line item claims. PATIENTS: California nursing home residents with Medicare fee-for-service insurance, 2011-2016. MAIN MEASURES: Hospitalization, days in the hospital, and days in the intensive care unit (ICU) after adjustment for resident and nursing home characteristics. KEY RESULTS: The 1,112,834 residents had a completed and signed (valid) POLST containing orders for CPR with Full treatment 29.6% of resident-time (in person-years) and a DNR order with Selective treatment or Comfort care 27.1% of resident-time. Unsigned POLSTs accounted for 11.3% of resident-time. Residents experienced 14 hospitalizations and a mean of 120 hospital days and 37 ICU days per 100 person-years. Residents with a POLST indicating CPR Full treatment had utilization nearly identical to residents without a POLST. A gradient of decreased utilization was related to lower intensity of care orders. Compared to residents without a POLST, residents with a POLST indicating DNR Comfort care spent 56 fewer days in the hospital and 22 fewer days in the ICU per 100 person-years. Unsigned POLST had a weaker and less consistent relationship with hospital utilization. CONCLUSIONS: Among California NH residents, there is a direct relationship between intensity of care preferences in POLST and hospital utilization. These findings emphasize the importance of a valid POLST capturing informed preferences for nursing home residents.

Perceived Cognitive Deficits in Patients With Symptomatic SARS-CoV-2 and Their Association With Post-COVID-19 Condition.

Importance: Neuropsychiatric symptoms are common in acute SARS-CoV-2 infection and in post-COVID-19 condition (PCC; colloquially known as long COVID), but the association between early presenting neuropsychiatric symptoms and PCC is unknown. Objective: To describe the characteristics of patients with perceived cognitive deficits within the first 4 weeks of SARS-CoV-2 infection and the association of those deficits with PCC symptoms. Design, Setting, and Participants: This prospective cohort study was conducted from April 2020 to February 2021, with follow-up of 60 to 90 days. The cohort consisted of adults enrolled in the University of California, Los Angeles, SARS-CoV-2 Ambulatory Program who had a laboratory-confirmed symptomatic SARS-CoV-2 infection and were either hospitalized in a University of California, Los Angeles, hospital or one of 20 local health care facilities, or were outpatients referred by a primary care clinician. Data analysis was performed from March 2022 to February 2023. Exposure: Laboratory-confirmed SARS-CoV-2 infection. Main Outcomes and Measures: Patients responded to surveys that included questions about perceived cognitive deficits modified from the Perceived Deficits Questionnaire, Fifth Edition, (ie, trouble being organized, trouble concentrating, and forgetfulness) and symptoms of PCC at 30, 60, and 90 days after hospital discharge or initial laboratory-confirmed infection of SARS-CoV-2. Perceived cognitive deficits were scored on a scale from 0 to 4. Development of PCC was determined by patient self-report of persistent symptoms 60 or 90 days after initial SARS-CoV-2 infection or hospital discharge. Results: Of 1296 patients enrolled in the program, 766 (59.1%) (mean [SD] age, 60.0 [16.7] years; 399 men [52.1%]; 317 Hispanic/Latinx patients [41.4%]) completed the perceived cognitive deficit items at 30 days after hospital discharge or outpatient diagnosis. Of the 766 patients, 276 (36.1%) perceived a cognitive deficit, with 164 (21.4%) having a mean score of greater than 0 to 1.5 and 112 patients (14.6 %) having a mean score greater than 1.5. Prior cognitive difficulties (odds ratio [OR], 1.46; 95% CI, 1.16-1.83) and diagnosis of depressive disorder (OR, 1.51; 95% CI, 1.23-1.86) were associated with report of a perceived cognitive deficit. Patients reporting perceived cognitive deficits in the first 4 weeks of SARS-CoV-2 infection were more likely to report symptoms of PCC than those without perceived cognitive deficits (118 of 276 patients [42.8%] vs 105 of 490 patients [21.4%]; χ21, 38.9; P < .001). Adjusting for demographic and clinical factors, perceived cognitive deficits in the first 4 weeks of SARS-CoV-2 were associated with PCC symptoms (patients with a cognitive deficit score of >0 to 1.5: OR, 2.42; 95% CI, 1.62-3.60; patients with cognitive deficit score >1.5: OR, 2.97; 95% CI, 1.86-4.75) compared to patients who reported no perceived cognitive deficits. Conclusions and Relevance: These findings suggest that patient-reported perceived cognitive deficits in the first 4 weeks of SARS-CoV-2 infection are associated with PCC symptoms and that there may be an affective component to PCC in some patients. The underlying reasons for PCC merit additional exploration.

Support for Use of Consumer Assessment of Healthcare Providers and Systems Communication Items Among Seriously Ill Patients.

Background: High-quality doctor-patient communication is essential for patients with serious illnesses. The reliability and validity of Consumer Assessment of Healthcare Providers and Systems (CAHPS®) communication items among these patients are unknown. Methods: Five CAHPS communication items, a 4-item Advance Care Planning (ACP) engagement scale, 5-item confidence in others' knowledge of ACP medical wishes scale, and a question about confidence in filling out ACP-related medical forms were administered to 1100 patients (20% response rate) with serious illness receiving primary care at three University of California Health Systems. Results: Average age was 69 (range 22-102); 52% male, 18% Hispanic, 9% Asian, and 7% Black; 24% had high school or less education. Eigenvalues and internal consistency reliability (0.88) supported a 5-item communication scale. Item characteristic curves showed a monotonic relationship of response options with the communication score. Item thresholds indicated that most patients reported positive patient experiences (i.e., items were negatively skewed). Item slopes ranging from 2.52 to 5.10 confirmed that all items were strongly related to the communication score. Information (reliability) of the communication scale was higher for assessing patients with negative experiences of care than for the positive end of the spectrum. Communication was positively correlated with confidence in other's knowledge of ACP medical wishes (r = 0.32, p < 0.0001), ACP engagement (r = 0.14, p < 0.0001), and confidence in filling out ACP-related medical forms (r = 0.09, p = 0.0022). Conclusions: These findings support the use of CAHPS survey items to assess communication among patients with serious illnesses in primary care. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT04012749.

Changes over time in POLST use and content by race and ethnicity among California nursing home residents.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) are commonly used for nursing home (NH) residents. Treatment orders differ across race and ethnicity, presumably related to cultural and socioeconomic variation and levels of access to care and trust. Because national efforts focus on addressing the underpinnings of racial and ethnic differences in treatment (i.e., access to care and trust), we describe POLST use and content by race and ethnicity. METHODS: California requires NHs to document POLST completion and content in the Minimum Data Set. We describe POLST completion and content for all California NH residents from 2011 to 2016 (N = 1,120,376). Adjusting for resident characteristics, we compared changes in completion rate and differences by race and ethnicity in POLST content-orders for cardiopulmonary resuscitation (CPR), do not resuscitate (DNR), CPR with full treatment, DNR with selective treatment or comfort orders, and if unsigned. RESULTS: POLST completion increased across all racial and ethnic groups from 2011 to 2016; by 2016, NH residents had a POLST two-thirds or more of the time. In 2011, Black residents had a POLST with a CPR order 30.4% of the time, Hispanic residents 25.6%, and White residents 19.7%. By 2016, this grew to 42.5%, 38.2%, and 28.1%, respectively, with Black and Hispanic residents demonstrating larger increases than White residents (p < 0.001). Increases over time in POLST with CPR and full treatment were greater for Black and Hispanic residents compared to White residents. The increase in POLST with DNR and DNR with Selective treatment and Comfort orders was greater for White compared to Black patients (p < 0.001). Unsigned POLST with CPR and DNR orders decreased across all racial and ethnic groups. CONCLUSIONS: Racial and ethnic differences in POLST intensity of care orders increased between 2011 and 2016 suggesting that efforts to mitigate factors underlying differences were ineffective. Studies of newer POLST data are imperative.

Implementation Challenges for a Multisite Advance Care Planning Pragmatic Trial: Lessons Learned.

BACKGROUND/PROBLEM: Advance care planning (ACP) pragmatic trials are needed. PROPOSED SOLUTION: We determined key system-level activities to implement ACP interventions for a cluster-randomized pragmatic trial. We identified patients with serious illness from 50 primary care clinics across three University of California health systems using a validated algorithm. If patients lacked documented ACP within the last 3 years, they were eligible for an intervention: (Arm 1) an advance directive (AD); (Arm 2) AD + PREPAREforYourCare.org; (Arm 3) AD + PREPARE + lay health navigator outreach. Triggered by an appointment, we mailed and sent interventions through automated electronic health record (EHR) messaging. We collaborated with patients/caregivers, clinicians, payors, and national/health system leader advisors. We are currently finalizing 24 months follow-up data. OUTCOMES/METHODS: We used the Consolidated Framework for Implementation Research (CFIR) and Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) frameworks to track secular trends and implementation efforts. KEY MESSAGE/RESULTS: Required multisite, system-level activities: 1) obtaining leadership, legal/privacy, and EHR approvals; 2) standardizing ACP documentation; 3) providing clinician education; 3) validating an automated serious illness identification algorithm; 4) standardizing ACP messaging with input from over 100 key advisors; 5) monitoring secular trends (e.g., COVID); and 6) standardizing ACP workflows (e.g., scanned ADs). Of 8707 patients with serious illness, 6883 were eligible for an intervention. Across all arms, 99% received the mailed intervention, 78.3% had an active patient portal (64.2% opened intervention), and 90.5% of arm three patients (n = 2243) received navigator outreach. LESSONS LEARNED: Implementing a multisite health system-wide ACP program and pragmatic trial, with automated EHR-based cohort identification and intervention delivery, requires a high level of multidisciplinary key advisor engagement, standardization, and monitoring. These activities provide guidance for the implementation of other large-scale, population-based ACP efforts.

Outcomes of A Virtual Practice-Tailored Medicare Annual Wellness Visit Intervention.

INTRODUCTION: Interventions are needed to promote utilization of the Medicare Annual Wellness Visit (AWV), an underused opportunity to perform screenings and plan individualized preventive health services. METHOD: Using remote practice redesign and electronic health record (EHR) support, we implemented the Practice-Tailored AWV intervention in 2021 (during the COVID-19 pandemic) in 3 small community-based practices. The intervention combines EHR-based tools with practice redesign approaches and resources. Outcomes included completion of AWV and fulfillment of recommended preventive services. RESULTS: At baseline the 3 practices had 1,513 Medicare patients with at least 1 visit in the past 12 months. AWV utilization went from 7% at baseline to 54% 8 months postintervention implementation; advance care planning increased 10.7% (from 7.9% to 18.6%); depression screening increased 16.3% (from 51.7% to 68.0%); and alcohol misuse screening increased 17.3% (from 42.6% to 59.9%). Every individual preventive health service was received more often by patients with an AWV than those without. At the patient level, fulfillment of all eligible preventive services (of a maximum of 12 evaluated) went from 47.5% to 53.8% (P < .001). Subgroup analyses showed that patients with AWVs completed a greater percentage of their total recommended preventive health services than those without an AWV. CONCLUSION: Virtual implementation of an intervention that combined EHR-based tools with practice redesign approaches increased AWV and preventive services utilization in Medicare patients. Given the success of this intervention during the COVID-19 pandemic (when practices had many competing demands), greater consideration should be given to delivering future interventions virtually.

Telephone Outreach Enhances Recruitment of Underrepresented Seriously Ill Patients for an Advance Care Planning Pragmatic Trial.

BACKGROUND: Patients experiencing systemic patterns of disadvantage, such as racial/ethnic minorities and those with limited English proficiency, are underrepresented in research. This is particularly true for large pragmatic trials of potentially sensitive research topics, such as advance care planning (ACP). It is unclear how phone outreach may affect research participation by underrepresented individuals. OBJECTIVE: To assess the effect of phone outreach, in addition to standard mail survey recruitment, in a population-based ACP pragmatic trial at three academic health systems in California. DESIGN: Retrospective cohort study PATIENTS: Primary care patients with serious illness were mailed a survey in their preferred language. Patients who did not initially respond by mail received up to three reminder phone calls with the option of survey completion by phone. MAIN MEASURES: Effect of phone outreach on survey response rate associated with respondent demographic characteristics (e.g., Social Vulnerability Index [SVI], range 0 (low) to 1 (high)). RESULTS: Across the health systems, 5998 seriously ill patients were mailed surveys. We obtained completed surveys from 1215 patients (20% response rate); 787 (65%) responded after mail alone and 428 (35%) participated only after phone outreach. Patients recruited after phone outreach compared to mail alone were more socially vulnerable (SVI 0.41 v 0.35, P < 0.001), were more likely to report being a racial/ethnic minority (35% v 28%, P = 0.006), and non-English speaking (16% v 10%, P = 0.005). Age and gender did not differ significantly. The inclusion of phone outreach resulted in a sample that better represented the baseline population than mail alone in racial/ethnic minority (28% mail alone, 30% including phone outreach, 36% baseline population), non-English language preference (10%, 12%, 15%, respectively), and SVI (0.35, 0.37, 0.38, respectively). CONCLUSIONS: Phone outreach for a population-based survey in a pragmatic trial concerning a potentially sensitive topic significantly enhanced recruitment of underrepresented seriously ill patients.

The 3 Wishes Program Improves Families' Experience of Emotional and Spiritual Support at the End of Life.

BACKGROUND: The end-of-life (EOL) experience in the intensive care unit (ICU) is emotionally challenging, and there are opportunities for improvement. The 3 Wishes Program (3WP) promotes the dignity of dying patients and their families by eliciting and implementing wishes at the EOL. AIM: To assess whether the 3WP is associated with improved ratings of EOL care. PROGRAM DESCRIPTION: In the 3WP, clinicians elicit and fulfill simple wishes for dying patients and their families. SETTING: 2-hospital academic healthcare system. PARTICIPANTS: Dying patients in the ICU and their families. PROGRAM EVALUATION: A modified Bereaved Family Survey (BFS), a validated tool for measuring EOL care quality, was completed by families of ICU decedents approximately 3 months after death. We compared patients whose care involved the 3WP to those who did not using three BFS-derived measures: Respectful Care and Communication (5 questions), Emotional and Spiritual Support (3 questions), and the BFS-Performance Measure (BFS-PM, a single-item global measure of care). RESULTS: Of 314 completed surveys, 117 were for patients whose care included the 3WP. Bereaved families of 3WP patients rated the Emotional and Spiritual Support factor significantly higher (7.5 vs. 6.0, p = 0.003, adjusted p = 0.001) than those who did not receive the 3WP. The Respectful Care and Communication factor and BFS-PM were no different between groups. DISCUSSION: The 3WP is a low-cost intervention that may be a feasible strategy for improving the EOL experience.

Assessing Representativeness of Seriously Ill Patient Survey Responders in a Pragmatic Clinical Trial.

Objective: Pragmatic trials often implement an intervention across a population of patients but require information unavailable at the population level that must be reported by a subset of patients. In this pragmatic clinical trial, we compared characteristics of seriously ill patients with those who completed a survey evaluating advance care planning across 3 academic health systems. Methods: A deliberate process including health system and external stakeholders and patients was used to design materials for and the approach to seriously ill patients. We developed a survey and conducted a multistep process to identify seriously ill primary care patients. We evaluated the relationships of age, gender, race and ethnicity, and vulnerability using the social vulnerability index in this population, and explored the representativeness of survey respondents compared with the underlying seriously ill population in terms of age, race and ethnicity, and vulnerability measured. Results: About 5% (8707 patients) of the primary care population was classified as seriously ill, 5351 were mailed a survey and 1100 provided survey responses. Hispanic and Black patients were younger than White patients, and Black and Hispanic patients were more vulnerable than White and Asian patients and patients of other races. Representativeness was high across age and race and ethnicity, although White and Hispanic patients were more likely to respond than Black and Asian patients and patients of other races. Vulnerability in the surveyed sample was nearly identical to the population. Conclusions: A tailored survey and recruitment strategy yielded a representative sample of seriously ill, largely older, primary care respondents in the context of a pragmatic clinical trial.

Physical Activity Behavior of Patients at a Skilled Nursing Facility: Longitudinal Cohort Study.

BACKGROUND: On-body wearable sensors have been used to predict adverse outcomes such as hospitalizations or fall, thereby enabling clinicians to develop better intervention guidelines and personalized models of care to prevent harmful outcomes. In our previous work, we introduced a generic remote patient monitoring framework (Sensing At-Risk Population) that draws on the classification of human movements using a 3-axial accelerometer and the extraction of indoor localization using Bluetooth low energy beacons, in concert. Using the same framework, this paper addresses the longitudinal analyses of a group of patients in a skilled nursing facility. We try to investigate if the metrics derived from a remote patient monitoring system comprised of physical activity and indoor localization sensors, as well as their association with therapist assessments, provide additional insight into the recovery process of patients receiving rehabilitation. OBJECTIVE: The aim of this paper is twofold: (1) to observe longitudinal changes of sensor-based physical activity and indoor localization features of patients receiving rehabilitation at a skilled nursing facility and (2) to investigate if the sensor-based longitudinal changes can complement patients' changes captured by therapist assessments over the course of rehabilitation in the skilled nursing facility. METHODS: From June 2016 to November 2017, patients were recruited after admission to a subacute rehabilitation center in Los Angeles, CA. Longitudinal cohort study of patients at a skilled nursing facility was followed over the course of 21 days. At the time of discharge from the skilled nursing facility, the patients were either readmitted to the hospital for continued care or discharged to a community setting. A longitudinal study of the physical therapy, occupational therapy, and sensor-based data assessments was performed. A generalized linear mixed model was used to find associations between functional measures with sensor-based features. Occupational therapy and physical therapy assessments were performed at the time of admission and once a week during the skilled nursing facility admission. RESULTS: Of the 110 individuals in the analytic sample with mean age of 79.4 (SD 5.9) years, 79 (72%) were female and 31 (28%) were male participants. The energy intensity of an individual while in the therapy area was positively associated with transfer activities (ß=.22; SE 0.08; P=.02). Sitting energy intensity showed positive association with transfer activities (ß=.16; SE 0.07; P=.02). Lying down energy intensity was negatively associated with hygiene activities (ß=-.27; SE 0.14; P=.04). The interaction of sitting energy intensity with time (ß=-.13; SE 0.06; P=.04) was associated with toileting activities. CONCLUSIONS: This study demonstrates that a combination of indoor localization and physical activity tracking produces a series of features, a subset of which can provide crucial information to the story line of daily and longitudinal activity patterns of patients receiving rehabilitation at a skilled nursing facility. The findings suggest that detecting physical activity changes within locations may offer some insight into better characterizing patients' progress or decline.

Factors Associated with Post-Acute Sequelae of SARS-CoV-2 (PASC) After Diagnosis of Symptomatic COVID-19 in the Inpatient and Outpatient Setting in a Diverse Cohort.

BACKGROUND: The incidence of persistent clinical symptoms and risk factors in Post-Acute Sequelae of SARS-CoV-2 (PASC) in diverse US cohorts is unclear. While there are a disproportionate share of COVID-19 deaths in older patients, ethnic minorities, and socially disadvantaged populations in the USA, little information is available on the association of these factors and PASC. OBJECTIVE: To evaluate the association of demographic and clinical characteristics with development of PASC. DESIGN: Prospective observational cohort of hospitalized and high-risk outpatients, April 2020 to February 2021. PARTICIPANTS: One thousand thirty-eight adults with laboratory-confirmed symptomatic COVID-19 infection. MAIN MEASURES: Development of PASC determined by patient report of persistent symptoms on questionnaires conducted 60 or 90 days after COVID-19 infection or hospital discharge. Demographic and clinical factors associated with PASC. KEY RESULTS: Of 1,038 patients with longitudinal follow-up, 309 patients (29.8%) developed PASC. The most common persistent symptom was fatigue (31.4%) followed by shortness of breath (15.4%) in hospitalized patients and anosmia (15.9%) in outpatients. Hospitalization for COVID-19 (odds ratio [OR] 1.49, 95% [CI] 1.04-2.14), having diabetes (OR, 1.39; 95% CI 1.02-1.88), and higher BMI (OR, 1.02; 95% CI 1-1.04) were independently associated with PASC. Medicaid compared to commercial insurance (OR, 0.49; 95% CI 0.31-0.77) and having had an organ transplant (OR 0.44, 95% CI, 0.26-0.76) were inversely associated with PASC. Age, race/ethnicity, Social Vulnerability Index, and baseline functional status were not associated with developing PASC. CONCLUSIONS: Three in ten survivors with COVID-19 developed a subset of symptoms associated with PASC in our cohort. While ethnic minorities, older age, and social disadvantage are associated with worse acute COVID-19 infection and greater risk of death, our study found no association between these factors and PASC.

Survival After Severe COVID-19: Long-Term Outcomes of Patients Admitted to an Intensive Care Unit.

BACKGROUND: Understanding the long-term sequelae of severe COVID-19 remains limited, particularly in the United States. OBJECTIVE: To examine long-term outcomes of patients who required intensive care unit (ICU) admission for severe COVID-19. DESIGN, PATIENTS, AND MAIN MEASURES: This is a prospective cohort study of patients who had severe COVID-19 requiring an ICU admission in a two-hospital academic health system in Southern California. Patients discharged alive between 3/21/2020 and 12/31/2020 were surveyed approximately 6 months after discharge to assess health-related quality of life using Patient-Reported Outcomes Measurement Information System (PROMIS®)-29 v2.1, post-traumatic stress disorder (PTSD) and loneliness scales. A preference-based health utility score (PROPr) was estimated using 7 PROMIS domain scores. Patients were also asked their attitude about receiving aggressive ICU care. KEY RESULTS: Of 275 patients admitted to the ICU for severe COVID-19, 205 (74.5%) were discharged alive and 132 (64%, median age 59, 46% female) completed surveys a median of 182 days post-discharge. Anxiety, depression, fatigue, sleep disturbance, ability to participate in social activities, pain interference, and cognitive function were not significantly different from the U.S. general population, but physical function (44.2, SD 11.0) was worse. PROPr mean score of 0.46 (SD 0.30, range -0.02 to 0.96 [<0 is worse than dead and 1 represents perfect health]) was slightly lower than the U.S. general population, with an even distribution across the continuum. Poor PROPr was associated with chronic medical conditions and receipt of life-sustaining treatments, but not demographics or social vulnerability. PTSD was suspected in 20% and loneliness in 29% of patients. Ninety-eight percent of patients were glad they received life-saving treatment. CONCLUSION: Most patients who survive severe COVID-19 achieve positive outcomes, with health scores similar to the general population at 6 months post-discharge. However, there is marked heterogeneity in outcomes with a substantial minority reporting severely compromised health.

Care preferences in physician orders for life sustaining treatment in California nursing homes.

BACKGROUND: Physician Orders for Life-Sustaining Treatment (POLST) facilitates documentation and transition of patients' life-sustaining treatment orders across care settings. Little is known about patient and facility factors related to care preferences within POLST across a large, diverse nursing home population. We describe the orders within POLST among all nursing home (NH) residents in California from 2011 to 2016. METHODS: California requires NHs to document in the Minimum Data Set whether residents complete a POLST and orders within POLST. Using a serial cross-sectional design for each year, we describe POLST completion and orders for all California NH residents from 2011 to 2016 (N = 1,112,668). We used logistic mixed-effects regression models to estimate POLST completion and resuscitation orders to understand the relationship with resident and facility characteristics, including Centers for Medicare and Medicaid Services (CMS) Nursing Home Compare overall five-star quality rating. RESULTS: POLST completion significantly increased from 2011 to 2016 with most residents having a POLST in 2016 (short-stay:68%; long-stay:81%). Among those with a POLST in 2016, 54% of long-stay and 41% of short-stay residents had a DNR order. Among residents with DNR, >90% had orders for limited medical interventions or comfort measures. Few residents (<6%) had a POLST with contradictory orders. In regression analyses, POLST completion was greater among residents with more functional dependence, but was lower among those with more cognitive impairment. Greater functional and cognitive impairment were associated with DNR orders. Racial and ethnic minorities indicated more aggressive care preferences. Higher CMS five-star facility quality rating was associated with greater POLST completion. CONCLUSIONS: Six years after a state mandate to document POLST completion in NHs, most California NH residents have a POLST, and about half of long-stay residents have orders to limit life-sustaining treatment. Future work should focus on determining the quality of care preference decisions documented in POLST.

The Impact of COVID-19 on Routine Medical Care and Cancer Screening.

BACKGROUND: COVID-19 restrictions and fear dramatically changed the use of medical care. Understanding the magnitude of cancelled and postponed appointments and associated factors can help identify approaches to mitigate unmet need. OBJECTIVE: To determine the proportion of medical visits cancelled or postponed and for whom. We hypothesized that adults with serious medical conditions and those with higher anxiety, depressive symptoms, and avoidance-oriented coping would have more cancellations/postponements. DESIGN: Four nationally representative cross-sectional surveys conducted online in May, July, October, and December 2020. PARTICIPANTS: 59,747 US adults who completed 15-min online surveys. 69% cooperation rate. MEASURES: Physical and mental health visits and cancer screening cancelled or postponed over prior 2 months. Plan to cancel or postpone visits over the next 2 months. Relationship with demographics, medical conditions, local COVID-19 death rate, anxiety, depressive symptoms, coping, intolerance of uncertainty, and perceived COVID-19 risk. KEY RESULTS: Of the 58% (N = 34,868) with a medical appointment during the 2 months before the survey, 64% had an appointment cancelled or postponed in May, decreasing to 37% in December. Of the 41% of respondents with scheduled cancer screening, 20% cancelled/postponed, which was stable May to December. People with more medical conditions were more likely to cancel or postpone medical visits (OR 1.19 per condition, 95% CI 1.16, 1.22) and cancer screening (OR 1.20, 95% CI 1.15, 1.24). Race, ethnicity, and income had weak associations with cancelled/postponed visits, local death rate was unrelated, but anxiety and depressive symptoms were strongly related to cancellations, and this grew between May and December. CONCLUSIONS: Cancelled medical care and cancer screening were more common among persons with medical conditions, anxiety and depression, even after accounting for COVID-19 deaths. Outreach and support to ensure that patients are not avoiding needed care due to anxiety, depression and inaccurate perceptions of risk will be important.

Improving Serious Illness Care for Surgical Patients: Quality Indicators for Surgical Palliative Care.

OBJECTIVE: Develop quality indicators that measure access to and the quality of primary PC delivered to seriously ill surgical patients. SUMMARY OF BACKGROUND DATA: PC for seriously ill surgical patients, including aligning treatments with patients' goals and managing symptoms, is associated with improved patient-oriented outcomes and decreased healthcare utilization. However, efforts to integrate PC alongside restorative surgical care are limited by a lack of surgical quality indicators to evaluate primary PC delivery. METHODS: We developed a set of 27 preliminary indicators that measured palliative processes of care across the surgical episode, including goals of care, decision-making, symptom assessment, and issues related to palliative surgery. Then using the RAND-UCLA Appropriateness method, a 12-member expert advisory panel rated the validity (primary outcome) and feasibility of each indicator twice: (1) remotely and (2) after an in-person moderated discussion. RESULTS: After 2 rounds of rating, 24 indicators were rated as valid, covering the preoperative evaluation (9 indicators), immediate preoperative readiness (2 indicators), intraoperative (1 indicator), postoperative (8 indicators), and end of life (4 indicators) phases of surgical care. CONCLUSIONS: This set of quality indicators provides a comprehensive set of process measures that possess the potential to measure high quality PC for seriously ill surgical patients throughout the surgical episode.