Geriatric conditions and healthcare utilization among older adults living in subsidized housing.

BACKGROUND: Nearly 2.9 million older Americans with lower incomes live in subsidized housing. While regional and single-site studies show that this group has higher rates of healthcare utilization compared to older adults in the general community, little is known about healthcare utilization nationally nor associated risk factors. METHODS: We conducted a retrospective cohort study of Medicare beneficiaries aged ≥65 enrolled in the National Health and Aging Trends Study in 2011, linked to Medicare claims data, including individuals living in subsidized housing and the general community. Participants were followed annually through 2020. Outcomes were hospitalization, short-term skilled nursing facility (SNF) utilization, long-term care utilization, and death. Fine-Gray competing risks regression analysis was used to assess the association of subsidized housing residence with hospitalization and nursing facility utilization, and Cox proportional hazards regression analysis was used to assess the association with death. RESULTS: Among 6294 participants (3600 women, 2694 men; mean age, 75.5 years [SD, 7.0]), 295 lived in subsidized housing at baseline and 5999 in the general community. Compared to older adults in the general community, those in subsidized housing had a higher adjusted subdistribution hazard ratio [sHR] of hospitalization (sHR 1.21; 95% CI, 1.03-1.43), short-term SNF utilization (sHR 1.49; 95% CI, 1.15-1.92), and long-term care utilization (sHR 2.72; 95% CI, 1.67-4.43), but similar hazard of death (HR, 0.86; 95% CI, 0.69-1.08). Individuals with functional impairment had a higher adjusted subdistribution hazard of hospitalization and short-term SNF utilization and individuals with dementia and functional impairment had a higher hazard of long-term care utilization. CONCLUSIONS: Older adults living in subsidized housing have higher hazards of hospitalization and nursing facility utilization compared to those in the general community. Housing-based interventions to optimize aging in place and mitigate risk of nursing facility utilization should consider risk factors including functional impairment and dementia.

High Chlorine Concentrations in an Unconventional Oil and Gas Development Region and Impacts on Atmospheric Chemistry.

Growth in unconventional oil and gas development (UOGD) in the United States has increased airborne emissions, raising environmental and human health concerns. To assess the potential impacts on air quality, we deployed instrumentation in Karnes City, Texas, a rural area in the middle of the Eagle Ford Shale. We measured several episodes of elevated Cl2 levels, reaching maximum hourly averages of 800 ppt, the highest inland Cl2 concentration reported to date. Concentrations peak during the day, suggesting a strong local source (given the short photolysis lifetime of Cl2) and/or a photoinitiated production mechanism. Well preproduction activity near the measurement site is a plausible source of these high Cl2 levels via direct emission and photoactive chemistry. ClNO2 is also observed, but it peaks overnight, consistent with well-known nocturnal formation processes. Observations of organochlorines in the gas and particle phases reflect the contribution of chlorine chemistry to the formation of secondary pollutants in the area. Box modeling results suggest that the formation of ozone at this location is influenced by chlorine chemistry. These results suggest that UOGD can be an important source of reactive chlorine in the atmosphere, impacting radical budgets and the formation of secondary pollutants in these regions.

Potential for remote vital sign monitoring to improve hospital patient sleep: A feasibility study.

BACKGROUND: Even low-acuity patients suffer from disrupted sleep in the hospital in part due to routine overnight vital sign (VS) checks. When invasive monitoring is not needed, vital sign monitoring devices (VSMDs) similar to consumer-grade health monitors may play a role in promoting sleep, which can aid healing and recovery. METHODS: We provided one VSMD to neuroscience ward patients during their hospital stays and used surveys to assess patient and nurse attitudes toward the device and the impact of the device on patient comfort. We also compared VSMD-streamed vS data to nurse-recorded vS data in the chart to evaluate the consistency of data streaming and data concordance between the device and nurse-collected vital sign values. FINDINGS: 21 patients and 15 nurses enrolled. Overall, patients and nurses responded positively to the device and patients preferred wearing the device to receiving manual vital checks overnight. The most common device-related cause of sleep disruption per patients was device weight (29%). Device vS were concordant with nurse vS on average but there was significant variance in agreement between nurse and device values. INTERPRETATION: Patients and nurses feel positively about the use of VSMDs and their use in the hospital. The device we tested may be limited in its sleep promotion by its weight and patient comfort assessment. Further research is needed to assess the precision of the device in measuring vital signs when used in a clinical setting. Future studies should compare VSMD models and assess their impacts on patient sleep in the absence of manual vS checks overnight. FUNDING: Funding provided by the Sara & Evan Williams Foundation Endowed Neurohospitalist Chair at UCSF.

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.

Impact of persistent pain on function, cognition, and well-being of older adults.

BACKGROUND: We sought to determine the population-level associations between persistent pain and subsequent changes in physical function, cognitive function, and well-being, outcomes important to older adults. METHODS: We used data from National Health Aging Trends Study (NHATS) of community-dwelling Medicare beneficiaries age 65+ from 2011 to 2019. We defined "persistent pain" as being bothered by pain in the last month in both the 2011and 2012 interviews and "intermittent" pain including those reporting bothersome pain in one interview only. We used competing risks regression to estimate the association between persistent pain and the development of clinically meaningful declines in physical function, cognitive function, and well-being, adjusting for age, sex, race, education, and marital status at baseline. RESULTS: Of the 5589 eligible NHATS participants, 38.7% reported persistent pain and 27.8% reported intermittent pain. Over one-third described pain in five or more sites. Over the subsequent 7 years, participants with persistent pain were more likely to experience declines in physical function (64% persistent pain, 59% intermittent pain, 57% no bothersome pain; aHR 1.14, 95% CI 1.05-1.23) and well-being (48% persistent pain, 45% intermittent pain, 44% no bothersome pain; aHR 1.11, 95% CI 1.01-1.21), but were not more likely to experience cognitive decline (25% persistent pain, 24% intermittent pain, 23% no bothersome pain; aHR 1.02, 95% CI 0.90-1.16). CONCLUSIONS: Persistent pain is common in older adults and occurs in multiple body sites. Persistent pain contributes to meaningful declines in physical function and well-being over 7 years and warrants proactive interventions to mitigate pain.

COVID-19 severity and age increase the odds of delirium in hospitalized adults with confirmed SARS-CoV-2 infection: a cohort study.

BACKGROUND: Despite recognition of the neurologic and psychiatric complications associated with SARS-CoV-2 infection, the relationship between coronavirus disease 19 (COVID-19) severity on hospital admission and delirium in hospitalized patients is poorly understood. This study sought to measure the association between COVID-19 severity and presence of delirium in both intensive care unit (ICU) and acute care patients by leveraging an existing hospital-wide systematic delirium screening protocol. The secondary analyses included measuring the association between age and presence of delirium, as well as the association between delirium and safety attendant use, restraint use, discharge home, and length of stay. METHODS: In this single center retrospective cohort study, we obtained electronic medical record (EMR) data using the institutional Epic Clarity database to identify all adults diagnosed with COVID-19 and hospitalized for at least 48-h from February 1-July 15, 2020. COVID-19 severity was classified into four groups. These EMR data include twice-daily delirium screenings of all patients using the Nursing Delirium Screening Scale (non-ICU) or CAM-ICU (ICU) per existing hospital-wide protocols. RESULTS: A total of 99 patients were diagnosed with COVID-19, of whom 44 patients required ICU care and 17 met criteria for severe disease within 24-h of admission. Forty-three patients (43%) met criteria for delirium at any point in their hospitalization. Of patients with delirium, 24 (56%) were 65 years old or younger. After adjustment, patients meeting criteria for the two highest COVID-19 severity groups within 24-h of admission had 7.2 times the odds of having delirium compared to those in the lowest category [adjusted odds ratio (aOR) 7.2; 95% confidence interval (CI) 1.9, 27.4; P = 0.003]. Patients > 65 years old had increased odds of delirium compared to those < 45 years old (aOR 8.7; 95% CI 2.2, 33.5; P = 0.003). Delirium was associated with increased odds of safety attendant use (aOR 4.5; 95% CI 1.0, 20.7; P = 0.050), decreased odds of discharge home (aOR 0.2; 95% CI 0.06, 0.6; P = 0.005), and increased length of stay (aOR 7.5; 95% CI 2.0, 13; P = 0.008). CONCLUSIONS: While delirium is common in hospitalized patients of all ages with COVID-19, it is especially common in those with severe disease on hospital admission and those who are older. Patients with COVID-19 and delirium, compared to COVID-19 without delirium, are more likely to require safety attendants during hospitalization, less likely to be discharged home, and have a longer length of stay. Individuals with COVID-19, including younger patients, represent an important population to target for delirium screening and management as delirium is associated with important differences in both clinical care and disposition.

Life expectancy for community-dwelling persons with dementia and severe disability.

BACKGROUND: Understanding life expectancy can help persons with dementia, their care partners, and policymakers plan for what lies ahead. We sought to determine life expectancy and predictors of mortality for community-dwelling persons with dementia and severe disability. METHODS: Using the National Health and Aging Trends Study (NHATS) linked to Medicare claims, we identified community-dwelling respondents age 65+ who entered NHATS in 2011 with dementia and severe disability (defined as three impairments in activities of daily living), or who subsequently met criteria for dementia and then severe disability. We estimated time to death based on the timing of meeting severe disability criteria. We conducted parametric survival analyses using a Gompertz distribution to calculate risk of death and predicted median time to death. Predictors included demographic, functional, clinical characteristics, and behavioral symptoms (assessed among NHATS respondents with proxy interviews). RESULTS: Among 842 community-dwelling persons with dementia and severe disability, 80.5% died during the study period. After adjusting for age and gender, overall predicted median time to death was 1.7 years (25th percentile 0.6, 75th percentile 3.8 years). Six notable characteristics were associated with shorter life expectancy: 1) older age (90+), with a predicted median time to death of 1.0 year (0.4, 2.1); 2) being bedbound, 1.1 years (0.4, 2.3); 3) being homebound, 1.2 years (0.5, 2.6); 4) having comorbid cancer, 1.2 years (0.5, 2.6); 5) unintended weight loss, 1.4 years (0.5, 3.1); and 6) comorbid depression, 1.5 years (0.6, 3.3). CONCLUSIONS: Community-dwelling persons with dementia and severe disability lived a median of 1.7 years. Clinicians can use the study findings to provide anticipatory guidance to patients and care partners, and policymakers to inform design of longitudinal supportive services.

Validation of automated fluorescent-based technology for measuring total nucleated cell viability of hematopoietic progenitor cell products.

BACKGROUND: A reliable rapid method for measuring total nucleated cell (TNC) viability is essential for cell-based products manufacturing. The trypan blue (TB) exclusion method, commonly used to measure TNC viability of hematopoietic progenitor cell (HPC) products, is a subjective assay, typically uses a microscope, and includes a limited number of cells. The NucleoCounter NC-200 is an automated fluorescent-based cell counter that uses pre-calibrated cartridges with acridine orange and DAPI dyes to measure cell count and viability. This study describes the validation of the NC-200 for testing HPC's viability. METHODS: Samples from 189 fresh and 60 cryopreserved HPC products were included. Fresh products were tested for viability after collection by both TB and NC-200. 7-aminoactinomycin D (7AAD) CD45+ cell viability results were obtained from a flow cytometry test. Cryopreserved products thawed specimens were tested for viability by both TB and NC-200. The NC-200 viability results were compared with the other methods. Acceptability criteria were defined as ≤10% difference between the NC-200 method and the other methods for at least 95% of the samples. RESULTS: Fresh products' mean viability difference between NC-200 and TB or 7AAD CD45+ method was 4.9% (95%CI 4.6-5.4) and 2.8% (95%CI 2.2-3.4), respectively. Thawed products' mean viability difference between NC-200 and TB was 3.0% (95%CI 0.4-5.6). CONCLUSION: The NC-200 automated fluorescent-based method can be used effectively to determine HPC's viability for both fresh and cryopreserved products. It can help eliminate human bias and provide consistent data and operational ease.

Evaluation of Neighborhood Socioeconomic Characteristics and Advance Care Planning Among Older Adults.

Importance: Advance care planning (ACP) is low among older adults with socioeconomic disadvantage. There is a need for tailored community-based approaches to increase ACP, but community patterns of ACP are poorly understood. Objective: To examine the association between neighborhood socioeconomic status (nSES) and ACP and to identify communities with both low nSES and low rates of ACP. Design, Setting, and Participants: This cross-sectional study examined University of California San Francisco electronic health record (EHR) data and place-based data from 9 San Francisco Bay Area counties. Participants were primary care patients aged 65 years or older and living in the San Francisco Bay Area in July 2017. Statistical analysis was performed from May to June 2020. Exposures: Patients' home addresses were geocoded and assigned to US Census tracts. The primary factor, nSES, an index combining area-level measures of income, education, poverty, employment, occupation, and housing or rent values, was divided into quintiles scaled to the distribution of all US Census tracts in the Bay Area (Q1 = lowest nSES). Covariates were from the EHR and included health care use (primary care, outpatient specialty, emergency department, and inpatient encounters in the prior year). Main Outcomes and Measures: ACP was defined as a scanned document (eg, advance directive), ACP Current Procedural Terminology code, or ACP note type in the EHR. Results: There were 13 104 patients included in the cohort-mean (SD) age was 75 (8) years, with 7622 female patients (58.2%), 897 patients (6.8%) identified as Black, 913 (7.0%) as Latinx, 3788 (28.9%) as Asian/Pacific Islander, and 748 (5.7%) as other minority race/ethnicity, and 2393 (18.3%) self-reported that they preferred to speak a non-English language. Of these, 3827 patients (29.2%) had documented ACP. The cohort was distributed across all 5 quintiles of nSES (Q1: 1426 patients [10.9%]; Q2: 1792 patients [13.7%]; Q3: 2408 patients [18.4%]; Q4: 3330 patients [25.4%]; Q5: 4148 patients [31.7%]). Compared with Q5 and after adjusting for health care use, all lower nSES quintiles showed a lower odds of ACP in a graded fashion (Q1: adjusted odds ratio [aOR] = 0.71 [95% CI, 0.61-0.84], Q2: aOR = 0.74 [95% CI, 0.64-0.86], Q3: aOR = 0.81 [95% CI, 0.71-0.93], Q4: aOR = 0.82 [95% CI, 0.72-0.93]. A bivariable map of ACP by nSES allowed identification of 5 neighborhoods with both low nSES and ACP. Conclusions and Relevance: In this study, lower nSES was associated with lower ACP documentation after adjusting for health care use. Using EHR and place-based data, communities of older adults with both low nSES and low ACP were identified. This is a first step in partnering with communities to develop targeted, community-based interventions to meaningfully increase ACP.

Post-transcriptional air pollution oxidation to the cholesterol biosynthesis pathway promotes pulmonary stress phenotypes.

The impact of environmentally-induced chemical changes in RNA has been fairly unexplored. Air pollution induces oxidative modifications such as 8-oxo-7,8-dihydroguanine (8-oxoG) in RNAs of lung cells, which could be associated with premature lung dysfunction. We develop a method for 8-oxoG profiling using immunocapturing and RNA sequencing. We find 42 oxidized transcripts in bronchial epithelial BEAS-2B cells exposed to two air pollution mixtures that recreate urban atmospheres. We show that the FDFT1 transcript in the cholesterol biosynthesis pathway is susceptible to air pollution-induced oxidation. This process leads to decreased transcript and protein expression of FDFT1, and reduced cholesterol synthesis in cells exposed to air pollution. Knockdown of FDFT1 replicates alterations seen in air pollution exposure such as transformed cell size and suppressed cytoskeleton organization. Our results argue of a possible novel biomarker and of an unseen mechanism by which air pollution selectively modifies key metabolic-related transcripts facilitating cell phenotypes in bronchial dysfunction.

The Association Between Patient-reported Clinical Factors and 30-day Acute Care Utilization in Chronic Heart Failure.

BACKGROUND: Heart failure patients have high rates of repeat acute care use. Current efforts for risk prediction often ignore postdischarge data. OBJECTIVE: To identify postdischarge patient-reported clinical factors associated with repeat acute care use. RESEARCH DESIGN: In a prospective cohort study that followed patients with chronic heart failure for 30 days postdischarge, for 7 days after discharge (or fewer days if patients used acute care within 7 days postdischarge), patients reported health status, heart failure symptoms, medication management, knowledge of follow-up plans, and other issues using a daily interactive automatic phone call. SUBJECTS: A total of 156 patients who had responded to phone surveys. MEASURES: The outcome variable was dichotomous 30-day acute care use (rehospitalization or emergency department visit). We examined the association between each patient-reported issue and the outcome, using multivariable logistic regression to adjust for confounders. RESULTS: Patients were 63 years old (SD=12.4), with 51% African-American and 53% women. Within 30 days postdischarge, 30 (19%) patients used acute care. After adjustment, poor health status [odds ratio (OR)=3.53; 95% confidence interval (CI), 1.06-11.76], pain (OR=2.44; 95% CI, 1.02-5.84), and poor appetite (OR=3.05; 95% CI, 1.13-8.23) were positively associated with 30-day acute care utilization. Among 58 reports of pain in follow-up nursing notes, 39 (67%) were noncardiac, 2 (3%) were cardiac, and 17 (29%) were indeterminate. CONCLUSIONS: Patient-reported poor health status, pain, and poor appetite were positively associated with 30-day acute care utilization. These novel postdischarge markers require further study before incorporation into risk prediction to drive quality improvement efforts.

Multimorbidity and Opioid Prescribing in Hospitalized Older Adults.

Background: Multimorbidity and pain are both common among older adults, yet pain treatment strategies for older patients with multimorbidity have not been well characterized. Objectives: To assess the prevalence and relationship between multimorbidity and opioid prescribing in hospitalized older medical patients with pain. Methods: We collected demographic, morbidity, pain, and analgesic treatment data through structured review of the electronic medical records of a consecutive sample of 238 medical patients, aged ≥65 years admitted between November 2014 and May 2015 with moderate-to-severe pain by numerical pain rating scale (range 4-10). We used the Cumulative Illness Rating Scale for Geriatrics (CIRS-G) to assess multimorbidity and cumulative illness burden. We examined the relationship between morbidity measures and opioid prescribing at hospital discharge using multivariate regression analysis. Results: The mean age was 75 ± 8 years, 57% were female and 50% were non-White. Mean CIRS-G total score was 17 ± 6, indicating high cumulative illness burden. Ninety-nine percent of patients had multimorbidity, defined as moderate-to-extremely severe morbidity in ≥2 organ systems. Sixty percent of patients received an opioid prescription at discharge. In multivariate analyses adjusted for age, race, and gender, patients with a discharge opioid prescription were significantly more likely to have higher cumulative illness burden and chronic pain. Conclusion: Among older medical inpatients, multimorbidity was nearly universal, and patients with higher cumulative illness burden were more likely to receive a discharge opioid prescription. More studies of benefits and harms of analgesic treatments in older adults with multimorbidity are needed to guide clinical practice.

Social Support and Patterns of Institutionalization Among Older Adults: A Longitudinal Study.

OBJECTIVES: To identify participants living at home and to estimate the risk of their transition into an institutional setting. DESIGN: Prospective cohort study from the National Health and Aging Trends Study (NHATS), a nationally representative survey of US adults aged 65 and older. SETTING: US national sample. PARTICIPANTS: A total of 4712 NHATS participants were living at home in 2011. Residential transitions were described every year through 2017. MEASUREMENTS: The primary outcome was transition time into an institutional setting. Primary predictors were social support factors (living spouse, lives with others, presence of social network, and participation in social activities). Covariates included age, sex, race, cognitive status, functional disability, multimorbidity, and Medicaid enrollment. A Fine and Gray hazards model estimated the risk of transition into an institutional setting, with death before institutionalization considered a competing risk. RESULTS: In 2011, 4712 NHATS participants were living at home (78 ± 8 y; 57% female; 80% white; 10% probable dementia; 7% with three or more activities of daily living disabilities). By 2017, 58% remained at home, 17% had either transitioned to an institution or died in an institution, and 25% died before institutionalization. In multivariable analyses that adjusted for age, sex, race, cognitive status, functional disability, multimorbidity, and Medicaid enrollment, participants were more likely to move out of the home into an institution if they had no social network (0 vs three or more people; subhazard ratio [sHR] = 1.8; 95% confidence interval [CI] = 1.2-2.5; P = .003) or lived alone (sHR = 1.9; 95% CI = 1.6-2.2; P < .0001). Older adults who enjoyed going to the movies, dinner, or the casino and visiting family or friends had a lower probability of institutionalization compared with participants who did not enjoy these activities or did not visit family or friends (adjusted sHR = .7; 95% CI = .6-.9; adjusted sHR = .7; 95% CI = .6-.9, respectively). CONCLUSION: Policy initiatives should target older adults with limited social support to reduce the risk of moving from home into an institution. J Am Geriatr Soc 67:2622-2627, 2019.

Care Settings and Clinical Characteristics of Older Adults with Moderately Severe Dementia.

OBJECTIVES: Little population-level evidence exists to guide the development of interventions for people with dementia in non-nursing home settings. We hypothesized people living at home with moderately severe dementia would differ in social, functional, and medical characteristics from those in either residential care or nursing home settings. DESIGN: Retrospective cohort study using pooled data from the National Health and Aging Trends Study, an annual survey of a nationally representative sample of Medicare beneficiaries. SETTING: US national sample. PARTICIPANTS: Respondents newly meeting criteria for incident moderately severe dementia, defined as probable dementia with functional impairment: 728 older adults met our definition between 2012 and 2016. MEASUREMENTS: Social characteristics examined included age, sex, race/ethnicity, country of origin, income, educational attainment, partnership status, and household size. Functional characteristics included help with daily activities, falls, mobility device use, and limitation to home or bed. Medical characteristics included comorbid conditions, self-rated health, hospital stay, symptoms, and dementia behaviors. RESULTS: Extrapolated to the population, an estimated 3.3 million older adults developed incident moderately severe dementia between 2012 and 2016. Within this cohort, 64% received care at home, 19% in residential care, and 17% in a nursing facility. social, functional, and medical characteristics differed across care settings. Older adults living at home were 2 to 5 times more likely to be members of disadvantaged populations and had more medical needs: 71% reported bothersome pain compared with 60% in residential care or 59% in nursing homes. CONCLUSION: Over a 5-year period, 2.1 million people lived at home with incident moderately severe dementia. People living at home had a higher prevalence of demographic characteristics associated with systematic patterns of disadvantage, more social support, less functional impairment, worse health, and more symptoms compared with people living in residential care or nursing facilities. This novel study provides insight into setting-specific differences among people with dementia. J Am Geriatr Soc 67:1907-1912, 2019.

Interdisciplinary Teams and Home-Based Medical Care: Secondary Analysis of a National Survey.

OBJECTIVES: The objective of this study was to describe the use of interdisciplinary teams (IDTs) in home-based medical care practices. DESIGN: We performed a secondary data analysis using results from the 2013 National Home-Based Primary Care and Palliative Care Network survey of home-based medical care (HBMC) practices. SETTING AND PARTICIPANTS: Two hundred forty-six unique HBMC practices were included in this study. METHODS: Descriptive statistics and frequency distributions were generated on the sample characteristics, practice IDT configurations, and routine use of IDT meetings. Associations between practice characteristics, IDT configuration, and routine use of IDT meetings were analyzed using bivariate analyses and logistic regression. RESULTS: Sixty percent of practices held routinely scheduled IDT meetings. Most practices that used IDTs reported meeting weekly (42.2%) or monthly (26.5%). The most common practice team configurations included billing providers without teams (45.9%), billing providers with both a care coordinator and nurse (23.7%), then practices with either a billing provider and nurse (14.9%) or a billing provider with a care coordinator (14.2%). Practices that conducted regular IDT meetings were more likely to be a group practice rather than solo practice (59% vs 45%, P = .03), be owned or sponsored by a primary hospital or health system rather than an independent practice (23% vs 12%, P = .03), be financially subsidized by a hospital or health system rather than be independently financed (17% vs 6%, P = .01), be affiliated with an academic institution rather than not (30% vs 16%, P = .01), and be a not-for-profit vs for-profit entity (30% vs 17% P = .03). CONCLUSIONS AND IMPLICATIONS: There is substantial diversity in IDT integration in HBMC practices. Routine IDT care in HBMC will improve care quality but will require clear standards and accountability for it to be fully integrated into HBMC practice.

Managing Chronic Pain in Cancer Survivors Prescribed Long-Term Opioid Therapy: A National Survey of Ambulatory Palliative Care Providers.

CONTEXT: Chronic pain, or pain lasting more than three months, is common among cancer survivors, who are often prescribed long-term opioid therapy (LTOT). OBJECTIVE: Our objective was to explore palliative care providers' experiences with managing chronic pain in cancer survivors prescribed LTOT, specifically in ambulatory palliative care settings, and their strategies for overcoming challenges. METHODS: We recruited providers through leading national palliative care organizations who manage chronic pain in cancer survivors. Asked to consider only cancer survivors with chronic pain when responding, participants completed an online survey that included questions about use of opioid risk mitigation tools, confidence in addressing opioid misuse behaviors and discussing/recommending management approaches, and access to addiction treatment. RESULTS: Of 157 participants, most were physicians (83%) or nurse practitioners (15%). Most reported using opioid risk mitigation tools such as urine drug testing (71%), opioid treatment agreements (85%), and practitioner database monitoring programs (94%). Participants were confident (7-8/10) managing the most commonly encountered opioid misuse behaviors (missing appointments, marijuana use, and using more opioids than prescribed) and in their ability to recommend nonpharmacologic and nonopioid pharmacologic treatments for chronic pain (10/10). They were least confident prescribing naloxone or managing addiction (5/10); only 27% reported having training or systems in place to address addiction. Only 13% had a waiver to prescribe buprenorphine. CONCLUSION: Palliative care providers are comfortable with many aspects of managing chronic pain in cancer survivors on LTOT, although challenges persist, including the lack of systems-based approaches and training in addiction treatment.

Pain and Emergency Department Use in the Last Month of Life Among Older Adults With Dementia.

CONTEXT: Pain may be a potentially modifiable risk factor for expensive and burdensome emergency department (ED) visits near the end of life for older adults with dementia. OBJECTIVES: The objective of this study was to assess the effect of pain and unmet need for pain management on ED visits in the last month of life in older adults with dementia. METHODS: This is a mortality follow-back study of older adults with dementia in the National Health and Aging Trends Study who died between 2012 and 2014, linked to Medicare claims. RESULTS: Two hundred eighty-one National Health and Aging Trends Study decedents with dementia met criteria (mean age 86 years, 61% female, 81% white). Fifty-seven percent had at least one ED visit in the last month of life, and 46.5% had an ED visit that resulted in a hospital admission. Almost three out of four (73%) of decedents experienced pain in the last month of life, and 10% had an unmet need for pain management. After adjustment for age, gender, race, educational attainment, income, comorbidities, and impairment in activities of daily living, pain was not associated with increased ED use in the last month of life (adjusted incident rate ratio 0.87, 95% CI 0.64-1.17). However, decedents with unmet need for pain management had an almost 50% higher rate of ED visits in the last month of life than those without unmet needs (adjusted incident rate ratio 1.46, 95% CI 1.07-1.99). CONCLUSION: Among older adults with dementia, unmet need for pain management was associated with more frequent ED visits in the last month of life.

Prevalence and Characteristics of Moderate to Severe Pain among Hospitalized Older Adults.

OBJECTIVES: To investigate the prevalence, characteristics, and management of pain in older hospitalized medical patients. DESIGN: Medical record aggregate review. SETTING: Tertiary care hospital. PARTICIPANTS: Individuals aged 65 and older admitted to the medicine service between November 28, 2014, and May 28, 2015. MEASUREMENTS: Demographic characteristics, comorbidity burden, pain characteristics, and analgesics during index hospitalization were assessed in individuals with moderate to severe pain (≥4 on 0-10 Numeric Pain Rating Scale). RESULTS: Of 1,267 patients admitted to the medicine service, 248 (20%) had moderate to severe pain on admission (mean age 75 ± 8, 57% female, 50% white). During hospitalization, most participants received opioids (80%) and acetaminophen (74%), and few received nonsteroidal antiinflammatory drugs (9%). Participants with chronic pain had less reduction in pain intensity score from admission to discharge than those without a history of chronic pain (mean change score 3.7 vs 4.9, p=.002) and were more likely to receive opioids, adjuvant analgesics, and other analgesics (all p<.05). CONCLUSION: Twenty percent of older adults admitted to a general medicine service had moderate to severe pain. Further research about optimal pain management in hospitalized older adults, particularly those with chronic pain, is necessary to improve care in this population.

Medication burden attributable to chronic co-morbid conditions in the very old and vulnerable.

OBJECTIVE: Polypharmacy is common in older patients but relationships between polypharmacy and common co-morbid conditions have not been elucidated. Our goal was to determine relationships between daily oral medication use and common co-morbid disease dyads and triads using comprehensive medication and diagnostic data from a national sample of nursing homes (NH). DESIGN: Retrospective, cross-sectional study. SETTING: Nationally representative sample of U.S. Nursing Homes. PARTICIPANTS: Nationally representative sample of long-term stay residents (n = 11734, 75% women) aged 65 years or older. MEASUREMENTS: Diagnosis and medication data were analyzed. Proportion of daily oral medication intake attributed to treatment of common two-(dyads) and three-disease (triad) combinations and "health maintenance" agents (vitamins, dietary supplements, stool softeners without related diagnoses) was determined. RESULTS: Older NH residents received slightly >8 oral medications/day with the number related to number of medical diagnoses (p < .0001). One third of chronic oral medication intake/day (excluding health maintenance agents) could be attributed to dyad combinations and about half to triad combinations despite an average of 5 other diagnoses. Triads were comprised of hypertension +/- arthritis +/- vascular disease, +/-depression, +/- osteoporosis +/- gastroesophageal reflux disease and +/- diabetes. Health maintenance agents accounted for 15-17% of daily oral medication intake (1.4 medications) such that almost two-thirds of daily oral medications were attributable to disease triads plus health maintenance. Fewer medications were prescribed for NH residents over age 85 (decreased ACE inhibitor and HMG CoA reductase inhibitor USE (p < .001)) while use of Alzheimer medications was higher (p < .01). CONCLUSIONS: A large fraction of daily oral medications were attributed to management of common co-morbid disease dyads and triads. Efforts to reduce polypharmacy and unwanted medication interactions could focus on regimens for common co-morbid dyads and triads in varying populations.

Characteristics of Older Adults in Primary Care Who May Benefit From Primary Palliative Care in the U.S.

CONTEXT: Older adults with advanced illness and associated symptoms may benefit from primary palliative care, but limited data exist to identify older adults in U.S. primary care to benefit from this care. OBJECTIVES: To describe U.S. primary care visits among adults aged 65 years and older with advanced illness. METHODS: Cross-sectional analysis of the National Ambulatory and Hospital Ambulatory Medical Care Surveys (2009-2011) was conducted using Chi-squared tests to compare visits without and with advanced illness with U.S. primary care defined by National Committee for Quality Assurance Palliative and End-of-Life Care Physician Performance Measurement Set International Classification of Diseases, Ninth Revision (ICD-9) codes for end-stage illness. RESULTS: Among visits by older adults to primary care, 7.9% visits were related to advanced illness. A higher proportion of advanced illness visits was among men vs. women (8.9% vs. 7.2%; P = 0.03) and adults aged 75 years and older, non-Hispanic whites (8.3%) and blacks (8.2%) vs. Hispanic (6.7%) and non-Hispanic other (2.5%) (P = 0.02), dually eligible for Medicare and Medicaid, and from patient ZIP Codes with lower median household incomes (below $32,793). A higher percentage of visits with advanced illness conditions to primary care was chronic obstructive pulmonary disease, congestive heart failure, dementia, and cancer, and symptoms reported with these visits were mostly pain, depression, anxiety, fatigue, and insomnia. CONCLUSION: In the U.S., approximately 8% primary care visits among older adults was related to advanced illness conditions. Advanced illness visits were most common among those most likely to be socioeconomically vulnerable and highlight the need to focus efforts for high-quality palliative care for these populations.