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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: J Assoc Nurses AIDS Care. 2019 Jan-Feb;30(1):20–34. doi: 10.1097/JNC.0000000000000033

People living with HIV in U.S. nursing homes in the fourth decade of the epidemic

Brianne Olivieri-Mui 1, Jean McGuire 2, Sean Cahill 3, John Griffith 4, Becky Briesacher 5
PMCID: PMC6310049  NIHMSID: NIHMS995710  PMID: 30586081

Abstract

As the number of persons living with HIV (PLWH) will continue to increase in the coming years, it is critical to understand factors influencing appropriate nursing home (NH) care planning. This study described the socio-demographic characteristics as well as the antiretroviral therapy (ART) treatment and physical and mental health among Medicare-eligible PLWH in NHs. PLWH were identified and summarized using a 2011–2013 nationwide dataset of Medicare claims linked to NH resident health assessments and a prescription dispensing database, comparing new admissions in 2011–2013 to those from 1998–2000. We identified 7,188 PLWH from 2011–2013 in NHs of whom 4,031 were newly admitted. Of the total, 79% were prescribed ART. Most were male (73%), Black/African American (51.1%), and a plurality resided in southern NHs (47%). Comparing the datasets, new admissions were older (60 vs. 44), had higher prevalence of viral hepatitis (16.2% vs. 7.5%), and anemia (31.1% vs. 25.1%), but less pneumonia (11.0% vs. 13.6%), and dementia (8.7% vs. 21.0%). NH nurses can better anticipate health care needs of PLWH using these health profiles, understanding that there have been changes in the health of PLWH at admission over time.

Keywords: HIV, Aging, Nursing Homes, Minimum Data Set

Introduction

Health of People Aging with HIV

Advances in antiretroviral therapy (ART) allow medication-adherent people living with HIV (PLWH) to anticipate a life expectancy similar to their uninfected counterparts. PLWH are living an average of 51.4 years after age 20, and requiring nursing home (NH) care for age-related health reasons rather than advanced HIV disease (Antiretroviral Therapy Cohort Collaboration, 2008; Centers for Disease Control and Prevention (CDC), 2014, 2016; Samji et al., 2013). Compared to uninfected older adults, onset of age-related comorbidities can occur more than 5 years earlier among older PLWH and is likely due to intersecting effects of aging, chronic HIV infection, and the effect of ART over time (Friedman & Duffus, 2016).

Regardless of HIV status, aging is an independent risk factor for a host of ailments due to associated immune senescence (Younas, Psomas, Reynes, & Corbeau, 2016). More than 50% of the 1.2 million PLWH in the United States are older than 50 years (CDC, 2016). Longer life also provides extended exposure to behavioral and environmental risk factors, such as poor diet, lack of exercise, and/or smoking. These intersecting risks have been linked to comorbidities, such as diabetes, dementia, and hypertension; some of the most common comorbidities in the NH and HIV populations (Moore, Boscardin, Steinman, & Schwartz, 2014).

HIV-associated chronic systemic inflammation may accelerate age-related immune senescence (Effros et al., 2008; Younas et al., 2016). Furthermore, the average older PLWH is disproportionately a sexual minority and often lacks financial and/or social supports, all of which have been associated with depression, anxiety, and feelings of isolation (Effros et al., 2008; Nobre, Kylmä, Kirsi, & Pereira, 2016; Sabin et al., 2013). These factors may explain why PLWH enter NHs at a younger age than their uninfected counterparts.

Lastly, the side effects of ART regimens impact the body’s physiology. These regimens are comprised of several drugs and can have side effects that include reduced bone mineral density and dyslipidemia (Deeks, Lewin, & Havlir, 2013; Guaraldi, Falutz, Mussi, & Silva, 2016). ART can also increase the risk for metabolic conditions, evident in the literature as a higher prevalence of diabetes among aging PLWH, compared to age-matched, uninfected counterparts (Guaraldi et al., 2016; Johnson, 2014).

Additionally, poor adherence to ART can lead to the development of treatment resistance causing more viremic HIV, despite treatment. PLWH may then transition to different ART regimens, introducing potentially more side effects, or stop ART, which can lead to advanced HIV disease. Physiological changes among PLWH vary depending on the individual’s history with ART. These physical alterations can contribute to the development of frailty and the need for admission to a NH (Guaraldi et al., 2016).

PLWH in NHs, Historically

The most recent information on Medicare-eligible PLWH in NHs came from Buchanan et al. (2002, 2004) who summarized socio-demographics, and physical and mental health characteristics of 5,115 PLWH newly admitted to NHs from June 1998 - January 2000 – an era shortly after highly active antiretroviral therapy (HAART) became standard of care (Buchanan, Wang, & Huang, 2002; Buchanan, Wang, & Kim, 2004). They used data from the Centers for Medicare and Medicaid Services’ (CMS) Minimum Data Set (MDS) version 1.0 NH admission assessments. These assessments are one of four comprehensive Resident Assessment Instruments, collected by any NH facility with residents in Medicare/Medicaid certified beds. NHs that meet CMS care quality criteria can be approved to receive reimbursements from Medicare, Medicaid, or both for services rendered to eligible patients (CMS, 2018). The authors found that newly admitted PLWH were mostly male, Black/African American, young (44.5 years), admitted to a NH from an acute hospital stay, and had Medicaid (Buchanan et al., 2002). Within 6 months, 12% of the 5,115 PLWH were expected to die.

Comparing the PLWH data to the 1996 general NH population, Buchanan et al. noted that newly admitted PLWH had a higher prevalence of conditions, such as anemia and depression, but, on average, were physically and mentally more independent (Buchanan et al., 2002). PLWH were, for example, less incontinent and better able to perform activities, such as eating and dressing themselves. The PLWH required more medication administration due to ART, in addition to pharmacotherapies for other comorbidities, and more clinical interventions due to, for example, viral load monitoring, and less physical assistance from NH nursing staff compared to other patients. Buchanan et al. concluded that PLWH in NHs have complex care needs, like the general NH population, but the conditions for which the care is needed are different (Buchanan et al., 2002). This, they argued, influenced reimbursement rates from Medicaid, determined by an algorithm based on physical dependence; a less physically dependent population, with more pharmaceutical and clinical needs, may result in estimates too low to cover the true cost of health care for PLWH in NHs. Though the population of PLWH in NHs now is likely different from the past, this study highlighted the potential disparity between NH resources, including nursing, and health care demand, when PLWH are part of the NH population.

The aim of this study was to describe the current socio-demographics, physical and mental health status, and ART coverage of Medicare-eligible PLWH in United States’ NHs during the period of 2011 – 2013 using the most recent MDS version 3.0. We then sought to compare PLWH newly admitted to NHs from 2011–2013 to the admissions described from the 1998–2000 MDS version 1.0. Our objective was to update the profiles of PLWH in NHs, and to identify characteristics at admission that have changed over time, with the goal of providing evidence from which NH care plans for PLWH can be based. The CMS (DUA# RSCH-2017–51615) and the Institutional Review Board of Northeastern University (IRB# 14-02-23) approved this study.

Methods

Data

We used a January 1, 2011 – December 31, 2013 database of 5 linked files created from previous research focused on antipsychotic prescribing among the general NH population, (National Institute on Aging #R21AG049269 and #R01AG04634101A1) as well as published data describing PLWH admitted to NHs from June 22, 1998 – January 17, 2000 (Buchanan et al., 2002). One file from Omnicare — a long-term care pharmacy provider covering more than half of the NHs in the United States — contained all-payer prescription drug dispensing records for approximately 3 million individuals. Data variables included the national drug code, brand name, generic prescription name, date of prescription, days’ supply, quantity dispensed, payment source, and the state where the NH was located (Briesacher, Soumerai, Field, Fouayzi, & Gurwitz, 2009).

Four files came from the CMS. The first file, the MDS comprehensive resident assessment version 3.0 – a 427-item nurse-patient interview – captured NH patient data on physical and mental health including: active diagnoses, continence, pain, frequency of psychotherapy, and cognitive skills for decision making. MDS comprehensive resident assessments were collected at admission, upon discharge, quarterly throughout a year, or for any change of health status. These data were used in two ways in this study. First, any comprehensive assessment was used to summarize profiles of all PLWH in NHs. Second, only admission assessments were used to compare MDS 3.0 data from 2011–2013 to the data from 1998–2000, drawn only from MDS 1.0 admission assessments. Only certain characteristics remained statistically comparable between the MDS 1.0 and 3.0 (gender, age groups, race/ethnicity, marital status, from where they were admitted to the NH, continence, and select active diagnoses).

The second CMS file, the Medicare enrollment file, provided basic demographics including gender, age, race (White, Black/African American, Hispanic, other), Medicaid eligibility, and mortality. The third file was Medicare Part A claims, and the fourth file was Medicare Part B claims. Respectively, these files included claims data for hospitalization and outpatient care data on diagnoses, procedures, and providers. All data were individual-level.

Population

Medicare-eligible PLWH in NHs with complete data were the target population. We adapted a previously published algorithm that identified PLWH as anyone who had two diagnoses for HIV or AIDS in Medicare Part B, or one diagnosis in Medicare Part A (Friedman & Duffus, 2016) by also including anyone with at least one ART prescribed from 2011–2013. Potential cases were excluded if the person was not eligible for Medicare, because the MDS is mandated only for persons in Medicare/Medicaid certified NHs, and all demographic, treatment, and diagnosis data are from Medicare; if a complete MDS was lacking because complete summaries of physical and mental health information were needed; and/or if any information in the prescription dispensing database was missing because these data provided details on all prescriptions dispensed while in the NH, regardless of who paid for the prescription, including ART. The MDS variable, entry type, was used to identify newly admitted PLWH for the historical comparison.

Measures

Only people with complete data were analyzed. MDS comprehensive assessments were considered complete based on 67 variables. Observations with missing data not due to skip patterns were excluded. Thirty-two variables were selected and summarized for all PLWH in NHs because they were similar to those reported by the past study. Changes to data collection procedures precluded statistical comparison of the 32 variables over time. Nineteen variables were the same over time; they were summarized for all PLWH in NHs, and statistically compared between the present and past studies. An additional 15 variables (e.g., stroke, end stage renal disease as the reason for admission), not previously available, but with clinical relevance to the population, were selected with clinical consultants and summarized for all PLWH in NHs. The variable, entry type, was incorporated to differentiate admission and non-admission (discharge, quarterly, or change of health status assessments).

Many of the variables selected as part of the 67 were components of the following tools: Activities of Daily Living (ADL) score (20 variables); the Brief Interview for Mental Health Status (BIMS; 1 variable); and the Confusion Assessment Method (CAM) for delirium (5 variables; CMS, 2015a). Calculation specifics for ADL and CAM are published elsewhere (CMS, 2015b, a). The ADL score ranks physical dependence based on activities such as getting out of bed, or feeding oneself, and was categorized as independent, or not fully independent. The BIMS score is pre-calculated as 1 variable in the MDS dataset. It was quartered into: intact cognitively (13–15 points), moderately impaired (9–12 points), severely impaired (0–8 points), and could not complete the BIMS, or did not qualify for assessment (Thomas, Dosa, Wysocki, & Mor, 2017). The CAM identified delirium (positive, negative, or not assessed), through a 4-item measure of frequency, and severity of inattention, disorganized thinking, altered consciousness, and psychomotor retardation (slowness in mental processing and response; CMS, 2015a). Any person with an inability to communicate was considered not qualified to be assessed by these tools.

National drug codes, as well as a manual review of drug names, were used to identify HIV specific prescriptions (Arts & Hazuda, 2012; Gilman et al., 2013; Guaraldi et al., 2016). Two infectious disease specialists, with expertise in HIV, were consulted to ensure that all antiretrovirals were included in the drug list. ART regimens were categorized as preferred, acceptable, second line (recommended regimen for people no longer responding to preferred or acceptable regimens), not recommended, or no ART, based on 2011–2012 recommended guidelines by the Department of Health and Human Services (DHHS; Panel on Antiretroviral Guidelines for Adults and Adolescents, 2011; 2012). Regimens dispensed to fewer than 30 PLWH often included more drugs than would make up a single regimen. This indication of regimen switching, prohibited categorization, thus regimens dispensed to 30 or more PLWH were selected for presentation in Figure 1.

Figure 1.

Figure 1.

Proportion of PLWH in Nursing Homes receiving ART by DHHS recommendation categories, 2011–2013 (N = 7,188)

Note: ART=antiretroviral therapy; DHHS=Department of Health and Human Services. DHHS recommendations are a hierarchy in the order: Preferred, Acceptable, Second Line, Not recommended, No ART; Second line=regimens recommended for individuals that no longer respond to preferred or acceptable regimens; Not DHHS recommended=ART regimens that were not recommended by DHHS

Analysis

Linked data were summarized under three headings: demographics, physical health, and mental health. Categorical variables were summarized by frequency and percent. Numerical variables were summarized by mean, standard error, and median. Table 1 summarizes all PLWH, and PLWH newly admitted to a NH.

Table 1.

Demographic, physical and mental health characteristics of all PLWH in Nursing Homes (NHs) from 2011–2013 (N = 7,188), and a subset of PLWH newly admitted to a NH from 2011–2013 (N = 4,031)

All PLWH in NHs
N = 7,188
Newly admitted PLWH
N = 4,031
N or
M (SEa) or
Median
% N or
M (SE) or
Median
%
Demographics
Gender
Male 5,212 72.5 2,876 71.3
Female 1,976 27.5 1,155 28.7
Age Groups
≤30 57 0.8 36 0.9
31–40 285 4.0 155 3.8
41–50 1,243 17.3 661 16.4
51–60 2,231 31.0 1,232 30.6
61–70 1,935 26.9 1,121 27.8
71–80 981 13.6 567 14.1
≥81 456 6.3 259 6.4
Age M (SE) 60(12.23) 60.3(12.27)
Median 59 60
Race/Ethnicity
Black/African American 3,676 51.1 2,047 50.8
Non-Hispanic White 2,604 36.2 1,508 37.4
Hispanic 720 10.0 366 9.1
Other 188 2.6 110 2.7
Marital Status
Never Married 3,925 54.6 2,148 53.3
Divorced 1,042 14.5 603 15.0
Married 924 12.9 531 13.2
Widowed 736 10.2 411 10.2
Unknown 332 4.6 208 5.2
Separated 229 3.2 130 3.2
Admitted to NH from
Acute Hospital 6,681 92.9 3,741 92.8
Community (Private home/apt., Board/care, Assisted living, Group home) 215 3.0 140 3.5
Other 292 4.1 150 3.7
Had Medicaid 6,683 93.0 3,699 91.8
Hospice care in the last 14 days
while a resident 82 1.1 56 1.4
prior to becoming a resident 38 0.5 37 0.9
Region
South 3,366 46.8 1,850 45.9
Northeast 1,725 24.0 957 23.7
Midwest 1,199 16.7 693 17.2
West 898 12.5 531 13.2
Physical health
Active Diagnoses
Hypertension 4,207 58.5 2,368 58.7
Anemia 2,271 31.6 1,253 31.1
Diabetes 2,123 29.5 1,205 29.9
Viral Hepatitis 1,097 15.3 655 16.2
GERDb 1,043 14.5 986 24.5
Stroke 835 11.6 458 11.4
ESRDc 827 11.5 797 19.8
Pneumonia 736 10.2 442 11.0
Heart Failure 724 10.1 408 10.1
Coronary Artery Disease 607 8.4 586 14.5
Urinary tract infection 578 8.0 349 8.7
Arthritis 444 6.2 419 10.4
Cancer 422 5.9 411 10.2
Peripheral Vascular Disease 261 3.6 193 4.8
Multidrug resistant organism 254 3.5 153 3.8
Respiratory failure 227 3.2 128 3.2
Wound infection 218 3.0 139 3.4
Deep Vein Thrombosis 211 2.9 202 5.0
Septicemia 179 2.5 101 2.5
Osteoporosis 157 2.2 141 3.5
Cirrhosis 142 2.0 137 3.4
Hypotension 71 1.0 43 1.1
Tuberculosis 13 0.2 9 0.2
Huntington’s disease 6 0.1 2 0.0
Continence: Bladder
Continent 3,869 53.8 2,128 52.8
Occasionally incontinent 1,135 15.8 703 17.4
Frequently incontinent 872 12.1 554 13.7
Incontinent 809 11.3 361 9.0
Not assessed 503 7.0 285 7.1
Continence: Bowel
Continent 4,436 61.7 2,450 60.8
Occasionally incontinent 658 9.2 405 10.0
Frequently incontinent 870 12.1 559 13.9
Incontinent 1,064 14.8 515 12.8
Not assessed 160 2.2 120 3.0
ESRD was reason for admission
Yes 943 13.1 504 12.5
Deceased in 2011–2013d
Yes 2,498 34.8 1,328 32.9
ADL scoree
M (SD) 6.1(4.73) 6.47(4.59)
Median 6 6
ADL measure of independence
Independent (ADL 0–5) 3,271 45.5 1,681 41.7
Not fully independent (ADL >5) 3,917 54.5 2,350 58.3
Oral problems
Loss of solids or liquids from the mouth while eating 33 0.5 19 0.5
Difficulty holding solids or liquids in the mouth 54 0.8 32 0.8
Choking while eating or drinking 93 1.3 57 1.4
Trouble swallowing 176 2.4 98 2.4
None of the above 6,883 95.8 3,859 95.7
Pain Symptoms
Pain present 3,875 53.9 2,396 59.4
Pain not present 2,732 38.0 1,444 35.8
Did not qualify for assessment/Unable to answer 581 8.1 191 4.7
Pain frequency
Rarely 233 3.2 144 3.6
Almost constantly 496 6.9 324 8.0
Frequently 1,574 21.9 940 23.3
Occasionally 1,551 21.6 973 24.1
Did not qualify for assessment/Unable to answer 3,334 46.4 1,650 40.9
Pain intensity
M (SE) 6.38(2.16) 6.5(2.18)
Median 6 7
Mental health
Active Diagnoses
Depression 2,496 34.7 1,340 33.2
Anxiety disorder 1,260 17.5 685 17.0
Dementia other 762 10.6 350 8.7
Manic Depression 522 7.3 271 6.7
Psychotic 483 6.7 174 4.3
Schizophrenia 473 6.6 213 5.3
Alzheimer’s disease 57 0.8 24 0.6
PTSDf 53 0.7 32 0.8
Days received at least 15 minutes of psychotherapy
None/Not qualified 6,981 97.1 3,943 97.8
1 or more days 207 2.9 88 2.2
BIMSg Score
Intact cognitively 4,806 66.9 2,844 70.6
Moderately impaired 1,252 17.4 700 17.4
Severely impaired 534 7.4 282 7.0
Could not complete the BIMS or did not qualify for assessment 596 8.3 205 5.1
Cognitive Skills for Decision Making
Independent 96 1.3 18 0.4
Modified independence 77 1.1 29 0.7
Moderately impaired 219 3.0 76 1.9
Severely impaired 192 2.7 79 2.0
Did not qualify for assessment/Assessment not necessary 6,604 91.9 3,829 95.0
CAMh for Delirium
Delirium Positive 417 5.8 219 5.4
Delirium Negative 6,759 94.0 3,809 94.5
Not assessed 12 0.2 3 0.1

Note:

a

SE=standard error; apt = apartment;

b

GERD=gastroesophageal reflux disease;

c

ESRD=end-stage renal disease;

d

Individuals that died during our study period of 2011–2013, were in a NH, and had complete data prior to death;

e

ADL=activities of daily living;

f

PTSD=post-traumatic stress disorder;

g

BIMS=brief interview for mental health status;

h

CAM=confusion assessment method

Sensitivity analyses were performed on all comprehensive MDS 3.0 assessments to detect differences among sub-groups of the population. For example, regional differences in health care exist in the United States, prompting us to assess if there were differences between PLWH in NHs in the four different census regions (Northeast: CT, MA, ME, NH, NJ, NY, PA, RI, VT; Midwest: IA, IL, IN, KS, MI, MN, MO, NE, OH, SD, WI; South: AL, AR, DC, DE, FL, GA, KY, LA, MD, MS, NC, OK, SC, TN, TX, VA, WV; West: AZ, CA, CO, ID, MT, NM, NV, OR, UT, WA, WY). We also assessed differences between those who stayed in NHs greater than100 days and less than or equal to 100 days. Chi-squared tests (χ2) compared categorical variables, and numerical variables were analyzed by two-sample t-test (assuming equal variances), or analysis of variance.

For the historical comparison, 19 variables from MDS 3.0 admissions were compared by χ2 test to admissions from the MDS 1.0. All analyses used SAS 9.4 (Cary, NC, U.S.). All tests were performed with 95% confidence.

Results

All Comprehensive Assessments: Demographics

Of the 2,667,506 people in the three years’ worth of data reviewed, 10,445 PLWH were identified by Medicare Part A or B or ART prescriptions dispensed. After applying inclusion and exclusion criteria, 7,188 PLWH had a complete comprehensive MDS assessment analyzed. Table 1 indicates that the majority of PLWH in NHs were admitted from an acute hospital stay (93%). End stage renal disease is one criteria by which a person is eligible for Medicare and was a reason for admission for 13.1%. Additionally, 93% had Medicaid.

Most PLWH in NHs were Black/African American (51.1%) and male (72.5%). Less than 40% were Non-Hispanic White, and 10% were Hispanic. The majority were between ages 51–70 (57.9%) and 19.9% were 71 years or older. More than half of PLWH in NHs had never been married (54.6%) and 34.8% were deceased by the end of 2013.

Nearly half (46.8%) lived in NHs in the southern census region (DE, DC, FL, GA, MD, NC, SC, VA, WV, AL, KY, MS, TN, AR, LA, OK, and TX). By state, the largest proportion were found in Florida NHs (20%), followed by New York, and California, 12% and 8%, respectively. All other states had less than 8% of this population (see Supplement Digital Content Figures 1a-1c).

All Comprehensive Assessments: Physical Health

Hypertension, anemia, and diabetes were the most common of the 24 active diagnoses, reported in 58.5%, 31.6%, and 29.5% of the PLWH in NHs, respectively. Only 45.5% were considered physically independent (ADL Score 0–5); however, more than half of PLWH in NHs were fully continent in bowel or bladder (53.8% and 61.7%). Problems during eating, such as losing food or liquids from their mouth, or choking while eating, were rare, occurring among less than 5% of the population. Pain was reported by 53.9%. Nearly equal proportions said pain was frequent (21.9%) or occasional (21.6%; Table 1).

All Comprehensive Assessments: Mental Health

Of eight active diagnoses related to mental health, depression, anxiety, and dementia were the most common, reported in 34.7%, 17.5% and 10.6%, respectively (Table 1). A high percentage of the population (97.1%), however, did not receive any psychotherapy in the past week. According to the BIMS, 66.9% of PLWH in NHs were cognitively intact. Only 5.7% had moderately or severely impaired cognitive skills for decision making, and 94.5% tested negative for delirium (Table 1).

All Comprehensive Assessments: Prescriptions

Figure 1 indicates that 65.5% of our population was captured by ART regimens that were dispensed to at least 30 PLWH. Recommended regimens were dispensed to 35.5% of our population; 31% of PLWH received an ART regimen that was preferred by DHHS. Acceptable regimens were dispensed to 3.3%, followed by 2.3% who received second-line treatments (treatments recommended for any person no longer responding to preferred or acceptable regimens). ART regimens were not dispensed to 20.9% of our population and 8% received a regimen not recommended by DHHS.

Admission Assessments: Historical Comparison

As seen in Table 2, the population of PLWH in NHs has changed since the study conducted nearly 15 years ago (Buchanan et al., 2002). PLWH recently admitted to NHs were more often male (71.3% vs. 69.4%, p = .0435) and older. Where previously most PLWH in NHs were between ages 31–50 (69%), our study shows that most from 2011–2013 were between 51–70 years old (58.4%; χ2 = 2947.42, p < .0001). Race/ethnicity of PLWH in NHs has also shifted; those identifying as non-Hispanic White increased (37.4% vs. 23.5%), and both Black/African American (50.8% vs. 59.3%) and Hispanic individuals (9.1% vs. 16.1%) decreased (χ2 = 308.93, p < .0001). Table 2 also shows the proportion of PLWH who have been married or widowed has increased 6.9% in 15 years, and PLWH in NHs now were more likely to have ever been married (53.3% from 2011–2013 had never been married vs. 65.8% from 1998–2000 had never been married, χ2 = 434.10, p < .0001). In the past, most entered the NH from acute hospital stays (77.9%), which was still true but significantly higher (93%; χ2 = 382.36, p < .0001).

Table 2.

Descriptive statistics of PLWH newly admitted to Nursing Homes (NHs) from 2011–2013 compared to historical data on PLWH newly admitted to NHs from 1998–2000 (Buchanan, Wang, & Huang, 2002).

2011–2013
(N = 4,031)
1998–2000
(N = 5,115)
N or M(SE) or Median % N or M(SE) or Median % X2/t value p-value
Demographics
Gender
Male 2,876 71.3 3,550 69.4 4.07 .0435
Female 1,155 28.7 1,565 30.6
Age Groups
≤30 36 0.9 327 6.4 2,947.42 <.0001
31–40 155 3.8 1,606 31.4
41–50 661 16.4 1,923 37.6
51–60 1,232 30.6 772 15.1
61–70 1,121 27.8 276 5.4
71–80 567 14.1 118 2.3
≥81 259 6.4 93 1.8
Race/Ethnicity
Black/African American 2,047 50.8 3,033 59.3 308.93 <.0001
Non-Hispanic White 1,508 37.4 1,202 23.5
Hispanic 366 9.1 824 16.1
Other 110 2.7 44 0.9
Marital Status
Never Married 2,148 53.3 3,366 65.8 434.10 <.0001
Married 531 13.2 506 9.9
Widowed 411 10.2 338 6.6
Separated 130 3.2 307 6.0
Divorced 603 15.0 598 11.7
Unknown 208 5.2 0 0.0
Admitted to NH from
Acute Hospital 3,741 92.8 3,984 77.9 382.36 <.0001
Community (Private home/apt., Board/care, Assisted living, Group home) 140 3.5 532 10.4
Other 150 3.7 599 11.7
Physical Health
Continence: Bladder
Continent 2,128 52.8 3,796 74.2 1,129.84 <.0001
Occasionally incontinent 703 17.4 220 4.3
Frequently incontinent 554 13.7 291 5.7
Incontinent 361 9.0 803 15.7
Not assessed 285 7.1 5 0.1
Continence: Bowel
Continent 2,450 60.8 3,667 71.7 621.06 <.0001
Occasionally incontinent 405 10.0 189 3.7
Frequently incontinent 559 13.9 225 4.4
Incontinent 515 12.8 1,028 20.1
Not assessed 120 3.0 6 0.1
Active Diagnoses
Tuberculosis 9 0.2 210 4.1 145.38 <.0001
Septicemia 101 2.5 246 4.8 32.78 <.0001
Wound infection 139 3.4 215 4.2 3.45 .0631
Urinary tract infection 349 8.7 332 6.5 15.36 <.0001
Cancer 411 10.2 373 7.3 24.25 <.0001
Pneumonia 442 11.0 696 13.6 14.44 .0001
Viral Hepatitis 655 16.2 384 7.5 232.53 <.0001
Anemia 1,253 31.1 1,284 25.1 40.24 <.0001
Mental Health
Active Diagnoses
Schizophrenia 213 5.3 276 5.4 0.06 .8134
Dementia other 350 8.7 1,074 21.0 260.06 <.0001
Anxiety disorder 685 17.0 327 6.4 257.42 <.0001
Depression 1,340 33.2 1,059 20.7 183.17 <.0001

Note: Bolded p-values indicate significant differences between the current and historical study, at the α = 0.05 level. X2 values are provided for categorical comparisons. T-test values are provided for continuous variable comparisons. SE=standard error.

Clinical presentations also changed over time. Among PLWH newly admitted to NHs, prevalence decreased for the following conditions: tuberculosis (0.2% vs. 4.1%, χ2 = 145.38, p < .0001), septicemia (2.5% vs. 4.8%, χ2 = 32.78, p < .0001), and pneumonia (11% vs. 13.6%, χ2 = 14.44, p = .0001). There were, however, more PLWH in NHs diagnosed with urinary tract infections (8.7% vs. 6.5%, χ2 = 15.36, p < .0001), cancer (10.2% vs. 7.3%, χ2 = 24.25, p < .0001), viral hepatitis of any type (16.2% vs 7.5%, χ2 = 232.53, p < .0001), and anemia (31.1% vs. 25.1%, χ2 = 40.24, p < .0001). Bladder and bowel continence showed a different distribution than in the past; less of the sample was fully continent for both functions (52.8% vs. 74.2%, χ2 = 1129.84, p < .0001 and 60.8% vs. 71.7%, χ2 = 621.06, p < .0001, respectively). Additionally, the prevalence of mental health conditions changed. Fewer PLWH newly admitted to NHs had dementia (8.7% vs. 21%, χ2 = 260.06, p < .0001); however, more had anxiety disorder (17% vs. 6.4%, χ2 = 257.42, p < .0001) and depression (33.2% vs. 20.7%, χ2 = 183.17, p < .0001).

Discussion

All PLWH in NHs

This is the first study detailing the socio-demographics, ART, and physical and mental health of Medicare-eligible PLWH in NHs in nearly 15 years. We provided updated profiles of all PLWH in NHs. We also showed, with a sub-set of PLWH newly admitted to NHs, how select characteristics have changed over time.

In 3 years of MDS-linked data, we found 7,188 PLWH in NHs, 4,031 of whom were newly admitted. PLWH comprised 0.2% of NH residents in our data, similar to the 0.3% of the U.S. population (CDC, 2014). The burden of HIV is disproportionately distributed among geographic locations and race/ethnicities. Black/African American individuals made up nearly 50% of HIV diagnoses in 2011 and a similar proportion of PLWH lived in the South (CDC, 2014). This disproportionate distribution was reflected among PLWH in NHs who were mostly Black/African American, male, and had Medicaid, and a plurality resided in NHs in the South. In fact, sensitivity analyses showed significantly more Black/African American PLWH were in NHs in the South than in any other region, and significantly more non-Hispanic White PLWH were in NHs in the West (see Supplemental Digital Content Table 1). Additionally, PLWH are at high risk for end stage renal disease, a known complication of HIV infection, particularly among Black/African American individuals (Friedman & Duffus, 2016; Guaraldi et al., 2016). End stage renal disease was the original reason for admission to the NH for 13.1% of our population. An estimated 42% of the general U.S. population of PLWH have Medicaid (The Henry J. Kaiser Family Foundation, 2016). A disproportionate reliance of PLWH on Medicaid was also seen in the NH population, where 93% of Medicare-eligible PLWH in NHs also had Medicaid (Friedman & Duffus, 2016). PLWH in NHs seemed to mimic the geographic and demographic distributions of the general U.S. population of PLWH (CDC, 2014).

There have clearly been advances in HIV care management, evident in the 65% still alive at the end of the 3 years. However, prevalence of comorbidities of aging, HIV, and ART use were high in our population. For example, at least 30% of PLWH in NHs were diagnosed with diabetes or hypertension, both of which are associated with advanced age and HIV. HIV has been linked to a 54% increase in cardiovascular related death (Guaraldi et al., 2016). Also, exposure to ART can cause insulin resistance, as well as anemia, prevalent in at least 30% of this population. Specifically, AZT, included in many of the regimens categorized as Not DHHS Recommended, increases anemia risk (Figure 1; Guaraldi et al., 2016). HIV is often associated with hepatitis co-infection, which is another risk factor for diabetes and renal failure (Guaraldi et al., 2016); more than 15% had viral hepatitis.

The NH population in general is at high risk of poor mental health; one study reported 26% of residents have depression with at least one other condition (Friedman & Duffus, 2016). The rate of depression among our population was 35%, and nearly 20% had anxiety. It is possible rates of depression among PLWH in NHs are higher, in part, due to a type of survivor’s guilt; the result of outliving friends and loved ones during the AIDS epidemic (Machado, 2012). Alternatively, depression and anxiety have been associated with experiences with HIV-stigma and the U.S. health care systems have been identified as major sources of HIV-stigma (Davtyan, Olshansky, & Lakon, 2018). More research is needed to understand the high prevalence of depression and anxiety among PLWH in U.S. NHs.

Understanding links between HIV, and physical and mental health is key to caring for this population as they move into NHs. Appropriate use of ART is particularly important for PLWH of all ages. Surprisingly, 21% of PLWH in NHs did not receive ART, and some received ART regimens including older drugs like AZT, which was no longer recommended by the DHHS. It is possible a lack of ART was appropriate for individuals in 2011 given that the treatment guidelines at the time only recommended ART for PLWH with a history of AIDS-defining illnesses or a CD4 of 500 cells/mm3 or less. However, beginning in 2012, the guidelines were revised to recommend ART for all PLWH. Furthermore, it is possible prescriptions were filled outside of the NH pharmacy provider (Panel on Antiretroviral Guidelines for Adults and Adolescents, 2011; 2012). This finding deserves further research, as access to ART in the NH setting is critical from the moment of admission. Fortunately, there was evidence of increased likelihood of receiving ART with longer stays in NHs. A sensitivity analysis, limited to only those staying in NHs for more than 100 days, showed 82% received ART (Supplemental Digital Content Figure 2).

Historical Comparison of Admissions

Comparing PLWH newly admitted to NHs between 1998–2000 to PLWH newly admitted to NHs between 2011–2013, we saw significant shifts in demographic distributions over time. The average age increased by 15 years, but remains younger than the average NH resident (CDC, 2015), and is likely a result of improved ART reducing mortality. Significantly, while Black/African American individuals remain the largest cohort, more “other” races/ethnicities (i.e., Asian/Pacific Islander, Native American) and non-Hispanic Whites were newly admitted to NHs from 2011–2013.

Comparing active diagnoses at admission over time, we saw 6% more anemia, 9% more hepatitis, 2% more urinary tract infections, and 2% more cancer. Other conditions, such as septicemia and pneumonia, were each seen in 2% fewer PLWH newly admitted to NHs, where 4% less presented with tuberculosis. Advanced age is a risk factor for cancers, urinary tract, and other infections. Furthermore, the pathologic effects of aging on cellular health, concurrent with those of HIV infection, are associated with an increase in number and diversity of cancers (Peate, 2013; Sabin & Reiss, 2017). Reductions in conditions such as septicemia and pneumonia may be due to ART boosting immunity. Public health initiatives, such as vaccinations, may have also helped reduce prevalence of pneumonia. An increase in prevalence of viral hepatitis may reflect a public health initiative to increase hepatitis C screening of U.S. adults; however, it is unclear which types of hepatitis are captured in the MDS. Comparing new admissions over time gives a glimpse of what aspects of physical health have changed; however, this analysis lacks the granularity to attribute causality to aging, HIV, ART, or external factors not included in our data (i.e., public health initiatives).

The largest magnitude changes were seen in mental health diagnoses of PLWH newly admitted to NHs. Dementia was less common in our population, which is consistent with current reports of only 2% prevalence of AIDS-related dementia (Vance, McGuinness, Musgrove, Orel, & Fazeli, 2011). However, prevalence of depression increased by 12% and anxiety nearly doubled in proportion. This population is highly cognitively intact (70.6% of new admissions had a cognitively intact BIMS rating; Table 1), but depression and anxiety have been associated with cognitive decline among PLWH (Vance et al., 2011).

Informing NH nursing staff

Understanding today’s population of PLWH in NHs is important for delivering high quality care. The information presented in this study shows that ART use in NHs is not optimal. A substantial portion of our PLWH study population did not receive any ART therapy. Though ART guidelines did not recommend ART for all PLWH for the first of the 3 years for which we had data, this indicates an important area for improvement. This could be addressed through staff development of current treatment guidelines. Additionally, medication reconciliation pre-hospitalization for those admitted to NHs is necessary since ART is occasionally not prescribed while in acute care settings for a variety of reasons. Finally, through formal interprofessional new admission reviews, it is possible for all members of the care team to collaborate, reducing the omission of ART coverage.

This research also shows the extent that age-related comorbidities are now present in the PLWH population. As a result, patient care in NHs needs to evolve to address the unique needs of the PLWH population who often experience a unique intersection of the effects of chronic HIV infection, ART use, and aging. Lastly, we show that most PLWH in NHs are located in a few geographic areas within the United States rather than scattered throughout. This information is useful for targeting resources to the areas where PLWH in NHs are most likely to benefit.

Limitations

The findings of this study should be interpreted in the context of several limitations. First, the sample is limited to records linking to the nationwide prescription dispensing database and excludes private-pay patients. This may limit generalizability to all PLWH on Medicare in NHs; however, a 2006 comparison showed comparable geographic distributions of NHs in both the prescription dispensing data and the certification and survey provider enhanced reporting required by all Medicare registered NHs (Health Services Research and Evaluation Group, 2006). Also, the prescriptions dispensed may not reflect all prescriptions filled, as some patients may obtain fills at non-Omnicare pharmacies, and ART suggested the presence of HIV, but was not confirmed by a diagnosis code, for 12% of our population. As a result, our interpretation of the ART findings is conservative. Second, the MDS may under report certain characteristics, particularly if the variables are not linked to claims or quality measures. Furthermore, there were select MDS variables not requested from CMS, preventing assessment of specialty programs such as occupational therapy or condition stability items such as weight loss. Also, certain variables were not comparable between the MDS 1.0 and 3.0, preventing statistical comparison. The MDS is subject to human error; however, it has been validated as a tool for determining the health status of NH residents (Saliba & Buchanan, n.d.). Third, an Active Diagnosis of HIV/AIDS, used by the past study to identify their population, is no longer collected in the MDS. Instead, we used diagnosis codes and HIV prescriptions to identify PLWH, which are believed to be more accurate because they are linked to claims. Lastly, patient acuity and duration of HIV infection were not available and we did not compare the health of PLWH to the health of the general NH population.

Conclusions

This study provides the first nationwide assessment of characteristics of Medicare-eligible PLWH in NHs in nearly 15 years. This information can aid NH nursing staff in developing care plans that anticipate current health care needs, as health profiles of PLWH in NHs have changed over time due to aging, chronic HIV infection, and ART use. Access to ART in the NH setting is pertinent and requires further research.

Supplementary Material

Supplemental

Key Considerations.

  • PLWH in nursing homes (NHs) have comorbidities associated with aging, chronic HIV, and ART use.

  • PLWH newly admitted to NHs from 2011–2013 have more viral hepatitis, depression, and anxiety, but less tuberculosis, wound infection, pneumonia, and dementia than their counterparts from 1998–2000.

  • NH nurses and other direct care staff are the first line of health care providers in the NH setting, and should be informed by updated information on the characteristics of PLWH residing in NHs in order to develop accurate, evidence-based care plans for PLWH.

Acknowledgements

This work was supported by the National Institute on Aging [R21AG049269 and R01AG04634101A1, PI for both: Becky Briesacher] and the Agency for Healthcare Research and Quality (R36HS025662, PI: Brianne Mui). Two consultants, Bisola O. Ojikutu, MD, MPH, of Harvard Medical School, Brigham and Women’s Hospital and Massachusetts General Hospital, and Debra Winters, APRN-BC, AACRN, the clinical director of the New England AIDS Education and Training Center, provided clinical expertise throughout the study. Their input included review of medications identified, review of health information presented in the results, review of findings related to medications, and edits for language in the interpretation of clinical findings.

Footnotes

Disclosures

The authors report no real or perceived vested interests that relate to this article that could be construed as a conflict of interest.

Supplemental Digital Content Figures 1a, 1b, and 1c show the distribution of PLWH in NHs across the 50 U.S. states.

Supplemental Digital Content Table 1 compares characteristics of PLWH in NHs across the four census regions.

Supplemental Digital Content Figure 2 graphs the difference in proportion of long stay residents (> 100 days in the NH, N = 878) receiving each DHHS category of HIV ART while in a NH compared to short stay residents (≤ 100 days in the NH, N = 6,310).

Contributor Information

Brianne Olivieri-Mui, Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA..

Jean McGuire, Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA..

Sean Cahill, The Fenway Institute, Boston, and is a Visiting Scholar, Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA..

John Griffith, Department of Health Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA..

Becky Briesacher, Department of Pharmacy and Health Systems Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, Massachusetts, USA..

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