Literature DB >> 35167064

Caregiving Needs Are Unmet for Many Older Homeless Adults: Findings from the HOPE HOME Study.

Wagahta Semere1,2, Lauren Kaplan3, Karen Valle3, David Guzman3, Claire Ramsey4, Cheyenne Garcia3, Margot Kushel3.   

Abstract

BACKGROUND: The homeless population is aging, with early onset of cognitive and functional impairments. It is unclear whether older homeless adults receive caregiving assistance that could prevent long-term disability.
OBJECTIVE: We describe characteristics of older homeless-experienced adults with caregiving need and determine factors associated with having unmet need. DESIGN AND PARTICIPANTS: Cross-sectional analysis of a longitudinal study, Health Outcomes in People Experiencing Homelessness in Older Middle Age (HOPE HOME), examining health, life course events, and functional status among older homeless-experienced (i.e., currently and recently homeless) adults. We recruited 350 homeless adults (July 2013-June 2014) and an additional 100 (August 2017 to July 2018) in Oakland, California; this study includes 303 participants who completed caregiving interviews. MEASUREMENTS: We defined caregiving need as difficulty with activities of daily living (ADLs), instrumental activities of daily living (IADLs), falls, Short Physical Performance Battery (SPPB) score < 10, or Modified Mini-Mental State (3MS) exam impairment. We defined unmet need as having caregiving need and reporting not receiving caregiving assistance in the last 6 months. Using logistic regression, we analyzed associations between respondent characteristics and unmet caregiving need.
RESULTS: Among 303 participants, the mean age was 61.3 ± 5.0 years; 73% were men and 82% were Black. Eighty-one percent had caregiving needs, and in 82% of those, their caregiving needs were unmet. Better self-rated health (AOR 2.13, CI [1.02-4.46], p = 0.04) and being a man (AOR 2.30, CI [1.12-4.69], p = 0.02) were associated with higher odds of unmet need. Moderate or high-risk substance use (AOR 0.47, CI [0.23, 0.94], p = 0.03) was associated with lower odds of unmet need.
CONCLUSIONS: Older homeless-experienced adults have high prevalence of unmet caregiving need. Interventions that increase caregiving access for homeless-experienced individuals may help avoid poor health outcomes and costly long-term-care needs due to untreated disabilities.
© 2022. The Author(s) under exclusive licence to Society of General Internal Medicine.

Entities:  

Keywords:  caregivers; caregiving; homeless; older adults

Mesh:

Year:  2022        PMID: 35167064      PMCID: PMC8853310          DOI: 10.1007/s11606-022-07438-z

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   6.473


INTRODUCTION

Adults over the age of 50 comprise a growing proportion of the individual adult homeless population.[1] They have a high prevalence of geriatric conditions, including cognitive impairment, functional disability, and falls which indicate caregiving needs.[2] Homeless-experienced (i.e., currently or formerly homeless) individuals experience geriatric conditions approximately 20 years earlier than the general population.[2,3] High prevalence of co-existing mental health problems and substance use disorders further contributes to their vulnerabilities.[4] Experiencing homelessness can have implications for disability and poor health outcomes even once individuals are housed.[5,6] Homeless-experienced adults have difficulty accessing formal caregiving services, such as nursing or home health aide support.[7] Home and Community Based Services (HBCS) provide opportunities for Medicaid recipients to receive services in their home or community rather than in institutions. HCBS accounts for over half of overall Medicaid long-term care spending but access to services is limited for individuals without a home.[8] Homeless-experienced adults face barriers to informal caregiving (i.e., unpaid support from family or friends), due to disrupted social networks from frequent relocations, trauma, substance use, and mental health disorders.[9] Homeless-experienced adults’ family and friends are often impoverished and struggle to provide care.[9] Homeless-experienced individuals’ unmet caregiving needs may lead to disabilities that require costly long-term care.[10] Caregivers, formal and informal, can meet these caregiving needs and decrease reliance on institutional care. Yet, there has been limited research examining the prevalence of caregiving need among homeless-experienced populations.[11,12] Understanding the extent of these needs could allow for better assessment of their risk for disability and poor health outcomes. In this study, we (1) describe the characteristics of older homeless-experienced adults with caregiving need and (2) determine sociodemographic and health factors associated with having unmet caregiving need.

METHODS

Study Overview

The Health Outcomes in People Experiencing Homelessness in Older Middle agE (HOPE HOME) study is a longitudinal study of health, life course events, and functional status among older adults who were homeless at study entry.[13] The University of California, San Francisco Institutional Review Board approved all study activities.

Sample and Recruitment

In wave 1 of HOPE HOME, we used population-based sampling to recruit 350 homeless individuals age 50 and older in Oakland, California, from July 2013 to June 2014.[13,14] We recruited participants from all overnight homeless shelters serving single adults over age 25 (n = 5), all low-cost meal programs serving at least three meals per week (n = 5), one recycling center, and places where unsheltered homeless individuals lived. We constructed our sampling frame to approximate the source population; we randomly selected potential participants at each recruitment site.[13,15] In wave 2, we applied the same recruitment strategy to recruit 100 additional homeless individuals aged 53 and over from August 2017 to July 2018. Participants completed study interviews every 6 months and remained in the study whether or not they regained housing. We analyzed data from the first interview for wave 2 participants and a concurrent follow-up interview for wave 1 participants. During this interview, wave 1 and wave 2 participants completed a caregiving questionnaire, which we introduced in 2017–2018 (Fig. 1).
Figure 1

Recruitment flow chart. The figure shows the number of HOPE HOME participants from waves 1 and 2 who completed the caregiving module.

Recruitment flow chart. The figure shows the number of HOPE HOME participants from waves 1 and 2 who completed the caregiving module.

Study Design and Population

To be eligible for HOPE HOME, participants had to meet age criteria, be homeless at study enrollment, be English speaking, and be able to give written informed consent using a teach-back method.[16,17] We compensated participants $25 for the screening and enrollment interview, $5 for monthly check-ins, and $20 for follow-up interviews.

Measures

We collected participants’ sociodemographic characteristics including age, gender, race/ethnicity, marital/partner status, highest level of education, employment status, and income in the last 30 days.

Homeless and Housing Status

At each visit, we categorized participants as homeless versus not homeless, according to federal Homeless Emergency Assistance and Rapid Transition to Housing (HEARTH) Act criteria.[16] We separately asked participants where they were currently staying and categorized responses as unsheltered, sheltered, in permanent housing for formerly homeless individuals, institution (i.e., skilled rehabilitation facility, nursing home, or sober living facility), transitional housing, hotel/motel, or apartment/house.

Social Support

We asked participants how many close friends or family members they had to confide in.[18] We then categorized participants as having 0, 1–5, or ≥ 6 confidants.

Chronic Conditions

We categorized participants’ health as poor or fair versus good, very good, or excellent, based on self-report.[19] We asked participants to self-report chronic medical conditions and grouped these as cardiovascular disease, pulmonary disease, chronic kidney disease, liver disease, diabetes, HIV/AIDS, and cancer. We categorized participants as having 0, 1–2, or ≥ 3 chronic conditions.

Substance Use and Mental Health

We categorized participants who reported consuming ≥ 6 drinks on one occasion monthly or more often as binge drinkers.[20,21] To evaluate use of cocaine, amphetamines, or opioids, we administered the World Health Organization’s (WHO) Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST); we classified scores ≥ 4 as moderate- to high-risk use and 0–3 as low-risk use.[22] Participants self-reported whether they were ever hospitalized for a mental health problem.

Caregiving Need

We asked participants, “What things did you get help with?” and allowed them to select multiple options from a list of 5 activities of daily living (ADLs—bathing, dressing, eating, transferring, or toileting) and 6 instrumental activities of daily living (IADLs, assessed using the Brief Instrumental Functioning Scale—managing medications, filling out applications for benefits, managing finances, using public transportation, setting up job interviews, finding an attorney).[23,24] For each ADL and IADL, we asked participants whether they needed “no help,” “a little help,” “a lot of help,” or “someone to do it for me.” We classified participants as requiring any (“a lot of help” or “someone to do it for me”) or little to no (“a little help” or “no help”) assistance performing ≥ 1 ADL and ≥ 1 IADL. Participants reported experiencing any falls in the past 6 months. We administered the Short Physical Performance Battery (SPPB) tool to assess lower extremity function and considered an SPPB score < 10 to indicate significantly limited lower extremity function.[25] To assess cognitive function, we used the Modified Mini-Mental State Exam (3MS). We categorized 3MS scores below the 7th percentile as cognitive impairment.[26,27] For our primary outcome, we defined caregiving need as experiencing any one of the following in the past 6 months: (1) difficulty with ≥ 1 ADL, (2) difficulty with ≥ 1 IADL, (3) ≥ 1 fall, (4) SPPB score < 10, or (5) 3MS score < 7th percentile. We developed our definition for caregiving need based on definitions used in nationally representative studies of older adults that examined caregiving need and functional limitations.[28-32]

Unmet Caregiving Need

We asked participants whether, in the last 6 months, anyone helped them with things like “bathing, dressing, eating, getting in and out of bed, using the toilet, moving around the house, getting to places outside the house, laundry, shopping or anything else.” We defined unmet caregiving need as meeting the definition for caregiving need but reporting not receiving caregiving assistance in the past 6 months. We adapted this definition from the National Health and Aging Trends Study (NHATS), which defines unmet need as an inability to perform a task due to the task being too difficult or not having assistance.[33]

Caregiving Characteristics

Participants reported characteristics of caregiving they received. We categorized participants’ relationship to their caregiver (i.e., partner, relative, friend), and whether their caregiver was paid or unpaid. For paid caregivers, we specified who paid them (In-Home Supportive Services [IHSS], Veteran Affairs [VA], other government program, insurance, family, or participant). We calculated the estimated hours of caregiving assistance received over the last month, by asking participants to estimate the number of days and hours per day during the last month their caregiver spent helping them. We specified the ADL and IADL tasks for which the caregiver helped. When participants had multiple caregivers, we defined primary caregivers as those who provided the greatest number of hours of assistance over the last month; we described the characteristics of participants’ primary caregiver and caregiving situation.

Statistical Analysis

We used descriptive statistics to present participant sociodemographic and health characteristics, and to describe characteristics of caregiving received. Using chi-square and Student t tests, we compared characteristics of participants with and without unmet caregiving needs. We restricted the sample to those with caregiving need and estimated multivariable logistic regression models examining the odds of having unmet caregiving. We included all independent variables with two-sided p values < 0.20 in the starting model and applied backwards elimination, retaining variables with two-sided p values < 0.05. We performed all statistical analysis using SAS version 9.4.

RESULTS

Participant Characteristics (n = 303)

Overall, 303 participants (203 from wave 1 and 100 from wave 2) completed the caregiving module (Fig. 1). The median age was 58 years; 73% were men and 82% were Black. Almost all (91%) were single or unpartnered; nearly one-quarter reported not having any confidants. Fifty-nine percent of participants were currently homeless. Seventy-three percent reported having chronic conditions, most frequently cardiovascular diseases (73%) and arthritis (53%); 37% had moderate–high-risk illicit drug use and 10% were binge drinkers. Half of participants reported their health as fair or poor. Eighty-one percent (n = 245) of participants had caregiving need.

Characteristics of Participants with Caregiving Need (n = 245)

Of the 245 participants who had caregiving need, 55% had difficulty with ≥ 1 ADL and 39% with ≥ 1 IADL. One-third (32%) experienced a fall in the last 6 months, 71% had an SPPB score < 10, and 22% had 3MS impairment (Table 1). Eighty-two percent of those with caregiving need did not receive caregiving in the past 6 months.
Table 1

Participant Characteristics by Caregiving Need (n = 303)

CharacteristicsOverall(n = 303)Caregiving need,* no. (%)
Yes(n = 245)No(n = 58)p value
Age, mean ± SD61.3 ± 5.061.4 ± 5.060.7 ± 4.90.32
Women81 (26.7)74 (30.2)7 (12.1)0.05
Race/ethnicity0.64
  Black249 (82.2)198 (80.8)51 (87.9)
  White26 (8.6)23 (9.4)3 (5.2)
  Hispanic/Latino15 (5.0)13 (5.3)2 (3.4)
  Mixed13 (4.3)11 (4.5)2 (3.4)
Homeless178 (58.7)147 (60.0)31 (53)0.36
Current housing0.02
  Unsheltered/shelter154 (50.8)129 (52.7)25 (43.1)
  Transitional housing12 (4.0)12 (4.9)0
  Permanent housing for homeless24 (7.9)16 (6.5)8 (13.8)
  Hotel/motel9 (3.0)5 (2.0)4 (6.9)
  Apartment/house96 (31.7)75 (30.6)21 (36.2)
  Institution8 (2.6)8 (3.3)0
Single/never married182 (60.1)147 (60.0)35 (60.3)0.46
Education0.02
  Less than high school83 (27.4)75 (30.6)8 (13.8)
  High school/GED49 (16.2)35 (14.3)14 (24.1)
  More than high school167 (55.1)131 (53.5)36 (62.1)
Worked for pay in the last 30 days33 (10.9)20 (8.2)13 (22.4)< 0.01
Income ≥ $1000/month60 (19.8)51 (20.8)9 (15.5)0.36
Ever hospitalized for mental health problems29 (9.6)28 (11.4)1 (1.7)0.02
Binge drinking27 (8.9)23 (9.4)4 (6.9)0.51
Problematic use of cocaine, opioids, or amphetamine0.45
  Moderate-high risk (≥ 4)112 (37.0)93 (38.0)19 (32.8)
Any confidants230 (75.9)183 (74.7)47 (81.0)0.27
Number of confidants0.08
  1–5 confidants203 (67.0)165 (67.3)38 (65.5)
  ≥ 5 confidants26 (8.6)17 (6.9)9 (15.5)
Self-reported health status< 0.01
  Fair/poor153 (50.5)140 (57.1)13 (22.4)
Number of chronic diseases0.02
  1–2 diseases180 (59.4)151 (61.6)29 (50.0)
  ≥ 3 diseases41 (13.5)36 (15)5 (8.6)
Chronic disease type
  Liver disease75 (24.8)64 (26.1)11 (19.0)0.26
  Kidney disease25 (8.3)23 (9.4)2 (3.4)0.14
  HIV/AIDS17 (5.6)13 (5.3)4 (6.9)0.64
  Lung disease104 (34.3)92 (37.6)12 (20.7)0.02
  Diabetes71 (23.4)57 (23)14 (24.1)0.89
  Arthritis161 (53.1)132 (53.9)29 (50.0)0.57
  Cardiovascular disease222 (73.3)185 (75.5)37 (63.8)0.07

*Caregiving need is calculated as meeting any one of the following criteria in the past 6 months: (1) difficulty with one or more activities of daily living (ADLs), (2) difficulty with one or more instrumental activities of daily living (IADLs), (3) one or more falls, (4) a Short Physical Performance Battery (SPPB) score < 10, or (5) a Modified Mini-Mental State (3MS) exam score below the 7th percentile

Participant Characteristics by Caregiving Need (n = 303) *Caregiving need is calculated as meeting any one of the following criteria in the past 6 months: (1) difficulty with one or more activities of daily living (ADLs), (2) difficulty with one or more instrumental activities of daily living (IADLs), (3) one or more falls, (4) a Short Physical Performance Battery (SPPB) score < 10, or (5) a Modified Mini-Mental State (3MS) exam score below the 7th percentile

Characteristics of Caregiving Received (n = 45)

Of the 45 participants who reported receiving caregiving, 28 participants received paid caregiving; the majority (n = 21) of caregivers received payment through IHSS (Table 2). Participants reported that their caregivers spent an average 73.2 (± 122.0) h per month caregiving. Participants received assistance with activities including bathing (n = 23), dressing (n = 26), and finding an attorney (n = 16) (Table 2).
Table 2

Caregiving Characteristics for Those Who Received Caregiving (n = 45)

CharacteristicsNo. (%)
Tasks received help with*
ADL
  Bathing23 (51)
  Dressing26 (58)
  Eating8 (18)
  Getting in and out of bed18 (40)
  Using the toilet11 (24)
IADL
  Managing medications5 (11)
  Filling out applications for benefits11 (24)
  Managing finances6 (13)
  Using public transportation7 (16)
  Setting up job interviews6 (13)
  Finding an attorney16 (36)
Who helped
  Partner3 (7)
  Child5 (11)
  Parent1 (2)
  Other relative2 (5)
  Roommate0
  Paid worker/housekeeper20 (45)
  Friend1 (2)
  Someone/service at residence8 (18)
  Other4 (9)
Number of caregiving hours per month (mean ± SD)73.22 ± 122.0
Paid caregiving28 (64)
Source of caregiving payment
  IHSS21 (81)
  VA program1 (4)
  Other government program0
  Insurance2 (8)
  Self1 (4)
  Family0
  Other1 (4)
Have additional caregiver8 (18)

VA Veterans Affairs, IHSS In-Home Support Services

*Tasks for which participants responded that they needed “a lot of help” or “someone to do it for me”

Caregiving Characteristics for Those Who Received Caregiving (n = 45) VA Veterans Affairs, IHSS In-Home Support Services *Tasks for which participants responded that they needed “a lot of help” or “someone to do it for me”

Association of Participant Characteristics and Unmet Caregiving Need

In bivariate analyses, those with unmet caregiving need were more likely to be homeless (64% vs 44%, p = 0.02); current housing categories were associated with unmet need (p < 0.01). Participants who were single (57% vs 76%, p = 0.04) and had moderate- or high-risk substance use (35% vs 51%, p = 0.03) were less likely to have unmet need (Table 3). In multivariable models, reporting good, very good, or excellent health (AOR 2.13, CI [1.02–4.46], p = 0.04) and being a man (AOR 2.30, CI [1.12–4.69], p = 0.02) was associated with higher odds of unmet need. Having moderate- or high-risk substance use (AOR 0.47, CI [0.23–0.94], p = 0.03) was associated with lower odds of unmet need (Table 4).
Table 3

Characteristics of Those Who Had a Caregiving Need at First Full Interview by Unmet Need (n = 245)

CharacteristicsOverall(n = 245)Unmet need, no. (%)
Yes(n = 200)No(n = 45)p value
Age, mean ± SD61.43 ± 5.061.40 ± 4.961.58 ± 5.40.83
Women74 (30.2)55 (27.5)19 (42.2)0.05
Race/ethnicity0.76
  Black198 (80.8)161 (80.5)37 (82.2)
  White23 (9.4)18 (9.0)5 (11.1)
  Hispanic/Latino13 (5.3)12 (6.0)1 (2.2)
  Mixed11 (4.5)9 (4.5)2 (4.4)
Homeless147 (60.0)127 (63.5)20 (44.4)0.02
Current housing< 0.01
  Unsheltered/shelter129 (52.7)111 (55.5)18 (40.0)
  Transitional housing12 (4.9)11 (5.5)1 (2.2)
  Permanent housing for homeless16 (6.5)10 (5.0)6 (13.3)
  Hotel/motel5 (2.0)3 (1.5)2 (4.4)
  Apartment/house75 (30.6)62 (31.0)13 (28.9)
  Institution8 (3.3)3 (1.5)5 (11.1)
Single/never married147 (60.0)113 (56.5)34 (75.6)0.04
Education0.76
  Less than high school75 (30.6)61 (30.5)14 (31.1)
  High school/GED35 (14.3)30 (15.0)5 (11.1)
  More than high school131 (53.5)105 (52.5)26 (57.8)
Worked for pay in last 30 days20 (8.2)19 (9.5)1 (2.2)0.11
Income ≥ $100051 (20.8)43 (21.5)8 (17.8)0.58
Binge drinking23 (9.4)22 (11.0)1 (2.2)0.06
Ever hospitalized for mental health problems28 (11.4)22 (11.0)6 (13.3)0.66
Problematic use of cocaine, opioids, or amphetamine0.03
  Moderate-high risk (≥ 4)93 (38)70 (35.0)23 (51.1)
Any confidant183 (74.7)145 (72.5)38 (84.4)0.13
Number of confidants0.29
  1–5 confidants165 (67.3)131 (65.5)34 (75.6)
  ≥ 5 confidants17 (6.9)13 (6.5)4 (8.9)
Self-reported health status0.08
  Fair/poor140 (57.1)109 (54.5)31 (68.9)
Falls in past 6 months79 (32.2)58 (29.0)21 (46.7)0.02
  ≥ 1 ADL difficulty133 (54.3)94 (47.0)39 (86.7)< 0.01
  ≥ 1 IADL difficulty96 (39.2)71 (35.5)25 (55.6)0.01
  SPPB score < 10175 (71.4)135 (67.5)40 (88.9)< 0.01
  3MS impaired (< 7th percentile)47 (19.2)43 (21.5)4 (8.9)0.07
Number of chronic diseases0.01
  1–2 diseases151 (61.6)120 (60.0)31 (68.9)
  ≥ 3 diseases36 (14.7)25 (12.5)11 (24.4)
Chronic disease type
  Liver disease64 (26.1)52 (26.0)12 (26.7)0.93
  Kidney disease23 (9.4)19 (9.5)4 (8.9)0.90
  HIV/AIDS13 (5.3)10 (5.0)3 (6.7)0.65
  Lung disease92 (37.6)67 (33.5)25 (55.6)0.01
  Diabetes57 (23.3)43 (21.5)14 (31.1)0.17
  Arthritis132 (53.9)102 (51.0)30 (66.7)0.06
  Cardiovascular disease185 (75.5)145 (72.5)40 (88.9)0.02

ADL activities of daily living, IADL independent activity of daily living, SPPB Short Physical Performance Battery, 3MS Modified Mini-Mental State

Table 4

Multivariable Analysis of Participant Characteristics Associated with Unmet Need

CharacteristicAdjusted odds ratio (95% CI)p value
Male2.30 (1.12–4.69)0.02
Homeless1.84 (0.92–3.69)0.08
Problematic use of cocaine, opioids, or amphetamine
  Low risk (0–3)2.13 (1.05–4.33)0.03
Self-reported health status
  Good/very good/excellent2.13 (1.02–4.46)0.04

p < 0.05 considered statistically significant

Characteristics of Those Who Had a Caregiving Need at First Full Interview by Unmet Need (n = 245) ADL activities of daily living, IADL independent activity of daily living, SPPB Short Physical Performance Battery, 3MS Modified Mini-Mental State Multivariable Analysis of Participant Characteristics Associated with Unmet Need p < 0.05 considered statistically significant

DISCUSSION

In a cohort of older homeless-experienced adults, we found that 81% of participants had caregiving need but less than 20% of those with caregiving need received assistance. Given their high risk for institutional care, homeless-experienced adults can benefit from programs that support access to caregiving in the community. Such strategies could potentially delay or avoid institutional care. In national surveys, approximately 5–20% of housed adults over age 65 reported difficulty with self-care and 10% had cognitive impairments.[34,35] In our sample (median age 58 years), over half had difficulty with self-care and over 20% had cognitive impairment. In previous work, we found that homeless-experienced adults had similar patterns of decline and persistence in functional impairments as those in older adults in the general community, suggesting that our participants’ caregiving needs likely reflect those of older populations. This reinforces the need for interventions to reduce reliance on institutional care for homeless-experienced adults.[36,37] In national studies, about 20% of older adults report having unmet caregiving needs compared to 82% of homeless-experienced older adults in our study with unmet caregiving needs.[35,38,39] This fourfold difference in unmet caregiving need highlights gaps in policies and practices for access to caregiving services among homeless-experienced adults. Home and Community-Based Services (HCBS) are designed to decrease reliance on institutional care by providing individuals with services, including assistance with ADLs and IADLs, that keep them living safely in their homes and their communities.[8] People experiencing homelessness often face significant barriers to receipt of Medicaid-funded caregiving support despite their need for these services. These barriers range from statutory barriers restricting care to sheltered individuals to practical barriers created by cumbersome application processes. For example, unsheltered homeless individuals are ineligible for California’s In-Home Support Services (IHSS) program—the state’s largest Medicaid HCBS program serving over 640,000 residents. IHSS providers help with a range of services including personal care, paramedical tasks, and transportation to medical appointments.[40] While many older homeless individuals may have functional limitations that require caregiving, they do not have an address of residence, which excludes them from receiving IHSS.[41] The IHSS application process requires demonstrating Medi-Cal eligibility and having a health provider complete a Health Care Certification form.[40] Enrolled individuals must hire, pay, and monitor their IHSS provider; this can be challenging for adults with cognitive impairment or behavioral problems. Providing navigators to assist throughout the application process, hiring, and supervising of caregivers may improve access and retention of potential IHSS recipients who are homeless. Our findings suggest that formerly homeless older adults continue to face barriers to receiving IHSS even once housed, including navigating a complex application process and managing hired caregivers. It is possible that expansion of pilot efforts to proactively expand IHSS to permanent supportive housing by leveraging trained staff with experience equipping formerly homeless individuals with the skills to navigate these barriers could alleviate this disparity.[42] Ensuring equitable access to caregiving services for homeless-experienced individuals requires addressing structural barriers.[43] In California, approximately 72% of people experiencing homelessness are unsheltered.[44] Homeless-experienced adults’ friends and family are likely to experience deep poverty and have low household incomes, making it difficult for their social networks to provide unpaid care.[9] Individuals who stay in congregate shelters face additional barriers. Shelter staff do not offer formal caregiving services and shelter policies restrict visitors, such that paid or informal caregivers cannot enter to offer residents assistance. Lifting visitor restrictions for caregivers could allow access to care recipients in need.[45] While homelessness was associated with lack of receipt of needed caregiving in bivariate models, it was not significant in adjusted models. Homelessness is a dynamic state. We found that those who regained housing remained at risk of unmet caregiving needs. Among those with caregiving needs, we found that men were more likely to have unmet need. This finding is consistent with work showing that while men present with higher levels of need when compared to women, men are less likely to access home care services and more likely to be admitted to long-term care.[46] Older men experiencing homelessness may be less likely to seek, and thus receive, care. Participants who rated their health as better were more likely to have unmet caregiving needs. It is possible that being in better health facilitates the ability to “get by” without assistance due to having fewer overall needs or better ability to navigate existing needs. Yet, there are significant risks to not receiving assistance with the impairments we examined. Impairments in ADLs and IADLs are significant contributors to overall frailty and predictors of long-term disability.[47-49] Homeless-experienced adults with caregiving needs who go without assistance may be at high risk for disabilities that lead to long-term care. With the passage of the Affordable Care Act, more individuals now qualify for Medicaid, which could lead to a substantial increase in spending on institutional care among people experiencing homelessness.[50] Given that the average per person annual costs of skilled nursing facility and long-term facility care are as high as $50,000 to $100,000, there is a need to develop strategies to reduce this potential spending.[10] Community-based programs supported through Medicaid range from $5000 to $12,000 per individual in estimated average costs per year, one-fifth to one-tenth the cost spent on long-term care.[51] Expanding such programs can increase access to caregiving and offer care recipients benefits, including maintaining autonomy and social connections. Many community-based caregiving programs are not structured to accommodate homeless individuals. Recognizing the need for increased access to and funding for HCBS, the Biden administration’s American Rescue Plan Act included a significant temporary increase in federal funding for HCBS.[52,53] This increased spending requires states to enhance, expand, and strengthen Medicaid-funded HCBS.[54] In light of the growing aging homeless population, states should address structural barriers that homeless individuals face in accessing these programs. Our study has limitations. Given the lack of prior work examining caregiving in homeless-experienced populations, we developed and applied a definition for caregiving need. This definition may have resulted in an over- or underestimation of caregiving needs. However, characteristics included in our caregiving need definition were drawn from prior research and are widely cited as contributors to caregiving need in nationally representative samples of older populations.[28-32] Some participants may not have considered all potential sources of caregiving support when we asked whether they received assistance, potentially leading to an overestimation of unmet need. Individuals with the same level of disability, depending on their culture, age, and gender, can respond differently to instruments used to measure functional status.[55] To minimize this potential bias, we administered an IADL tool developed for use in homeless populations.[24] Some of our sample characteristics, including participant rates of current homelessness and institutional residence, are reflective of nationally representative data on homeless populations.[56] However, we recruited participants from California, which may restrict the generalizability of our findings with respect to access to caregiving services. For example, California is one of few states that allow IHSS recipients to hire family members as caregivers, which may facilitate access to additional caregiving options for housed individuals. This is the first study to describe caregiving need among older homeless-experienced adults and examine factors contributing to their unmet need. The high prevalence of unmet need in this vulnerable population has implications for individual health outcomes and future health system expenditures. By tailoring existing community caregiving resources to accommodate the needs of homeless-experienced older adults, we may better address their care needs while avoiding adverse and costly outcomes.
  35 in total

1.  Unmet need for personal assistance with activities of daily living among older adults.

Authors:  M M Desai; H R Lentzner; J D Weeks
Journal:  Gerontologist       Date:  2001-02

2.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Authors:  J Ware; M Kosinski; S D Keller
Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

3.  Falls and Fall Injuries Among Adults Aged ≥65 Years - United States, 2014.

Authors:  Gwen Bergen; Mark R Stevens; Elizabeth R Burns
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2016-09-23       Impact factor: 17.586

4.  Validation of the brief instrumental functioning scale in a homeless population.

Authors:  G Sullivan; L Dumenci; A Burnam; P Koegel
Journal:  Psychiatr Serv       Date:  2001-08       Impact factor: 3.084

5.  Residential patterns in older homeless adults: Results of a cluster analysis.

Authors:  Christopher Thomas Lee; David Guzman; Claudia Ponath; Lina Tieu; Elise Riley; Margot Kushel
Journal:  Soc Sci Med       Date:  2016-02-10       Impact factor: 4.634

6.  Geriatric syndromes in older homeless adults.

Authors:  Rebecca T Brown; Dan K Kiely; Monica Bharel; Susan L Mitchell
Journal:  J Gen Intern Med       Date:  2011-08-31       Impact factor: 5.128

7.  Prognostic significance of potential frailty criteria.

Authors:  Marc D Rothman; Linda Leo-Summers; Thomas M Gill
Journal:  J Am Geriatr Soc       Date:  2008-12       Impact factor: 5.562

Review 8.  Short Physical Performance Battery and all-cause mortality: systematic review and meta-analysis.

Authors:  Rita Pavasini; Jack Guralnik; Justin C Brown; Mauro di Bari; Matteo Cesari; Francesco Landi; Bert Vaes; Delphine Legrand; Joe Verghese; Cuiling Wang; Sari Stenholm; Luigi Ferrucci; Jennifer C Lai; Anna Arnau Bartes; Joan Espaulella; Montserrat Ferrer; Jae-Young Lim; Kristine E Ensrud; Peggy Cawthon; Anna Turusheva; Elena Frolova; Yves Rolland; Valerie Lauwers; Andrea Corsonello; Gregory D Kirk; Roberto Ferrari; Stefano Volpato; Gianluca Campo
Journal:  BMC Med       Date:  2016-12-22       Impact factor: 8.775

Review 9.  Understanding the care and support needs of older people: a scoping review and categorisation using the WHO international classification of functioning, disability and health framework (ICF).

Authors:  Sarah Abdi; Alice Spann; Jacinta Borilovic; Luc de Witte; Mark Hawley
Journal:  BMC Geriatr       Date:  2019-07-22       Impact factor: 3.921

10.  Functional Impairment and Decline in Middle Age: A Cohort Study.

Authors:  Rebecca T Brown; L Grisell Diaz-Ramirez; W John Boscardin; Sei J Lee; Michael A Steinman
Journal:  Ann Intern Med       Date:  2017-10-31       Impact factor: 25.391

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.