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Informal care

Informal care refers to the unpaid assistance provided to individuals with health or functional needs, typically by family members, friends, or other non-professionals.
This type of care can include a wide range of activities, such as helping with daily living tasks, providing emotional support, and coordinating medical care.
Informal caregiving plays a vital role in supporting the well-being of those who require assistance, but it can also have significant impacts on the caregiver's own physical, emotional, and financial well-being.
Reseasrch in this area aims to better understand the experiences and needs of informal caregivers, as well as develop effective interventions and policies to support them.

Most cited protocols related to «Informal care»

Changes to the content of the costing manual that were made to align with the new health economic guidelines included incorporating a new typology of costs and consequently updating the roadmap for costing studies. The roadmap describes the steps that are needed to conduct a costing study [4 (link)]. It serves as a starting point for conducting costing studies and connects the health economic guidelines to the costing manual.
Reference prices for health care consumption, which are average unit costs, constitute a frequently used part of the costing manual. Reference prices were recalculated using recent information on costs, volume and prices for various types of health care services. Reference prices were updated using various techniques (summarized in Table 1), depending on data availability. If possible, bottom-up microcosting was used to calculate reference prices, as this is the gold standard for calculating cost prices [5 (link)]. When bottom-up microcosting data was not available, grosscosting methods were applied to calculate reference prices. Bottom-up microcosting studies, identifying and valuating resource use per individual patient, were used to calculate references prices for hospital care [Tan, S.S., et al. Reference unit prices for surgery, neurology and paediatrics. Submitted for publication]. Reference prices for emergency care, ambulances, blood products, daycare treatment in mental health care and rehabilitation were calculated using top-down grosscosting, for which data on costs and volumes were derived from health care providers. Data on expenditures and volumes derived from national health care database were used to calculate reference prices using top-down grosscosting, for primary care physicians, paramedical care, elderly care, home care, mental health care and health care for disabled patients [6 ]. Finally, tariffs were used to value diagnostic procedures [7 ]. For contacts with independent psychotherapists and psychiatrists, ambulatory consultation in a general institution and inpatients days in mental health care tariffs were used [8 ]. Relevant stakeholders were consulted to validate the updated reference prices. Updated informal care costs were derived from the website of the Central Administration Office (CAK). Productivity costs should be valued using the friction cost method based on the Dutch health economic guidelines. The friction period is equal to the average duration of a job vacancy plus an additional four weeks. The average duration of job vacancies was calculated with the following formula: 365 / (the number of filled vacancies in one year / the number of vacancies at a moment in that same year). The number of vacancies was derived from the website of Statistics Netherlands. Wage levels were also derived from the Statistics Netherlands website.
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Publication 2017
Aged Ambulances BLOOD Day Care, Medical Friction Gold Health Services Administration Informal care Inpatient Mental Health Operative Surgical Procedures Patients Primary Care Physicians Psychiatrist Psychotherapists Rehabilitation Service, Emergency Medical Tests, Diagnostic Vaginal Diaphragm
In the HCA, productivity costs associated with premature death are
calculated as the loss of productivity estimated as the present value of future
economic production over the expected remaining lifetime for someone of a given
age and sex [34 ]. Similarly, morbidity
costs are calculated as the value of lost productive time due to acute illness
and short- and long-term disabilities. Future market production is typically
projected based on labor force participation and employment rates, life table
survival probabilities, and hourly gross earnings, generally categorized by age
and sex or age alone. Contrary to what some experts assert [35 (link)], the HCA does not assume full employment but
instead takes into account the proportions in each age group that are employed.
Likewise, despite a misconception that the HCA, as used in COI studies, assigns
higher values to people with higher incomes [36 ], most applications of the HCA use statistical averages, not
individual incomes [37 , 38 ].
The rationale for the HCA is that the withdrawal of an
individual’s labor due to premature death or permanent disability results
in a loss to society of that individual’s future production. It is
standard practice in the HCA to estimate gross earnings, which includes payroll
taxes and other employer-paid benefits, i.e., the full cost of employee
compensation [38 –40 ]. The theoretical justification for using total
employer compensation per worker as a proxy for individual productivity is
marginal productivity theory, according to which employers equate the marginal
cost of employee time with the expected marginal contribution to output [41 ]. Some researchers find it simpler to
use reported hourly earnings (wages and salaries), excluding benefits, to
estimate productivity losses [42 (link)–44 ]. Studies taking
the latter approach generate lower estimates relative to studies using estimates
of total employer compensation.
Time spent in unpaid work can be valued in the HCA using either the
individual’s own or imputed wage (opportunity cost method) or the average
wage paid to workers performing similar services (replacement cost or proxy good
method) [45 (link)–47 (link)]. Standard US references on average productivity
by age and sex use the replacement cost method to value unpaid work [37 , 39 ]. It should be noted that European analyses typically restrict
HCA estimates to loss of paid work.
The application of the HCA in public health in the United States can be
traced to a 1961 publication by Weisbrod [48 ] that calculated the present value of expected future
productivity to value averted deaths from disease prevention. Productivity was
calculated as the sum of average earnings by age and sex and the imputed value
of unpaid household services produced by women. The inclusion of unpaid
household work reduced the very large gap in HCA valuations of male and female
deaths that resulted from the use of market earnings [48 , 49 ].
Subsequent US analysts have generally included the imputed value of household
production by individuals of both sexes when valuing premature mortality. In
contrast, researchers outside the United States often incorrectly equate the HCA
with market production, i.e., paid work [35 (link)]. Restricting HCA estimates to market productivity may be
reasonable for estimates of the costs of short-term disability [50 (link), 51 (link)].
However, if economic evaluations that are intended to be conducted from the
societal perspective exclude unpaid work that seriously devalues the time of
demographic groups that provide informal care and services to others. That is an
important limitation of HCA estimates in studies conducted in much of the
world.
A major limitation of the standard HCA from the viewpoint of economic
theory is that it does not take account of the costs of developing and
maintaining a stock of human capital, such as education and personal
consumption. Grosse and Krueger [52 ]
reviewed the historical development of human capital approaches. They noted that
the net HCA, which subtracts the cost of developing and maintaining a stock of
human capital, is consistent with human capital theory. Although Weisbrod
estimated both gross earnings and earnings net of personal consumption, the
former has generally been followed by health economists who use the HCA [48 , 52 ]. Other fields of economics (such as forensic economics) have
more commonly used a net HCA [52 ]. The
Second Panel recently recommended that societal-perspective CEAs subtract future
personal consumption from future earnings [16 (link)], which is equivalent to a net HCA.
Publication 2018
Age Groups CEACAM5 protein, human Disabled Persons Europeans Gender Homo sapiens Households Informal care Labor Force Males Obstetric Labor Premature Obstetric Labor Woman Workers
The oldest old are in a stage of life in which changes in functioning can occur more rapidly and more catastrophically than earlier in life. For example, cognitive decline markedly accelerates during the last years of life [10 (link)]. Therefore, it is important to accurately monitor trajectories of functioning and changes in functioning in this age group. At the same time, there have been recent changes in policy in the Netherlands that may particularly affect the oldest old. As of 2015, the Social Support Act (WMO) directs municipalities to provide support for people with functional limitations, including instrumental support at home, home care and social care, which was previously regulated by the national government. This may lead to variations in care provision between different municipalities. In addition, the Long-term Care Act for residential care (WLZ), and the Care Insurance Act for personal and nursing home care at home (ZVW) were implemented. In these acts, thresholds for access to care were raised, making it more difficult to be eligible for residential care, which can lead to an increased reliance on informal care and privately paid care. The absolute increase in the number of oldest old in the community, the rapid changes in functioning among the oldest old and the recent policy changes were the main reasons for conducting an ancillary study among the oldest LASA respondents with increased density of measurements.
Three additional nine-monthly measurements were performed between the regular LASA measurements in 2015–2016 (wave I) and 2018–2019 (wave J). Thus, together with these regular measurement waves, data from five consecutive nine-monthly measurements will become available for studying changes and trajectories of the four domains of functioning. All persons aged 75 years and over (born before 1941) were invited to participate in this ancillary study (n = 686). In total, 601 persons agreed to participate (87.6%). At the first additional measurement (wave I—v1), 442 (73.5%) participated in a face-to-face home interview and 159 (26.5%) participated in a telephone interview (61 with respondent and 98 with proxy). The topics included in the interview, as well as the response rates for each additional nine-monthly measurement, are presented in Table 4. Respondents who had a face-to-face interview were asked to fill out a one-week calendar to study changes in pain, use of pain medication, mood, sleep, social contacts and appetite on a daily basis. Respondents were asked to return the calendar by postal mail.

Ancillary study: additional nine-monthly measurements among the oldest old (born before 1941)

ResponseWave I—v1Wave I—v2Wave I—v3
Date range interviewsJuly 2016–July 2017April 2017–April 2018January 2018–January 2019
Invited, n686601550
Participated, n (%)601 (87.6)550 (91.5)507 (92.2)
Age, mean (SD)83.0 (5.4)83.4 (5.2)83.8 (4.9)
Data available
 Face-to-face interview, n442410364
 Calendar data, na387368325
 Telephone interview Respondent, n615559
 Telephone interview Proxy, n988584
Measures
Face-to-face interviewDemographic data, gait speed, grip strength, chronic diseases, self-rated health, functional limitations, homecare/informal care, care needs, healthcare use, depressive symptoms (CES-D, short version), falls and fractures, memory complaints, cognitive functioning (MMSE, coding task), loneliness (De Jong Gierveld loneliness scale, short version), weight measurement, self-reported weight change, physical activity, pain, end of life care and preferences, and partner health
Calendar dataOne-week calendar, with questions on pain (1–10; severe pain-no pain), use of pain medication (yes/no), mood (1–10; very bad-very good), sleep (1–10; very bad-very good), social contact (number of people), and appetite (1–5; very bad-very good) on a daily basis
Telephone interviewDemographic data, chronic diseases, self-rated health, functional limitations, homecare/informal care, care needs, healthcare use, depressive symptoms (CES-D, short version), falls and fractures, memory complaints, cognitive functioning (MMSE, short version), loneliness (De Jong Gierveld loneliness scale, short version), self-reported weight change, physical activity, pain, end of life care and preferences, and partner health

aCalendar data is only available for those participating in the face-to-face interview

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Publication 2019
Age Groups Childbirth Depressive Symptoms Disease, Chronic Disorders, Cognitive Face Fracture, Bone Hospice Care Informal care lipid-associated sialic acid Long-Term Care Memory Mini Mental State Examination Mood Pain Pharmaceutical Preparations Reliance resin cement SERPINA3 protein, human Sleep
For each selected article, we recorded the number of experts invited to participate and whether these experts were first asked about their willingness to participate. We recorded the data supplied in the article about the experts (i.e., specialty, age and years of experience), the composition of the panel (e.g., patients, informal care providers, healthcare professionals, managers), and whether the panel included professionals from a single specialty or from multiple specialties. We determined how the experts were chosen (e.g., willingness to participate, expertise, or membership in an organization). We evaluated the relationship between the response rate and the use of specific methods to encourage the experts to respond (e.g., stamped addressed envelope for returning the questionnaire and financial compensation).
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Publication 2011
Health Care Professionals Informal care Patients
Information on the receipt of in-home assistance by persons with limitations in ADLs or IADLs was used to generate the average number of hours of care provided to persons at home. Caregiving is classified as “informal” when the caregiver is a relative or an unpaid nonrelative with no agency affiliation. All other care, whether obtained through an agency or provided by someone hired directly, is classified as “formal.”25 (link) The methods used to calculate total hours of care have been described in earlier work6 (link) and are briefly summarized in the Supplementary Appendix.
To estimate the monetary value of formal care, we used 2010 average hourly rates charged by home health agencies in the respondent’s state of residence.24 We used two approaches to estimate the monetary cost of informal care. The “replacement cost” approach values care by using the cost of an equivalent service purchased in the market through a home health agency.7 The “forgone wage” approach bases the valuation on the labor-market income forgone because of time spent on caregiving. For employed caregivers, we used the market wages reported by respondents in each HRS survey. Because most caregivers are not employed, we used average wages for persons with similar demographic characteristics (sex and, when reported, age and educational level). To account for the fact that many caregivers are elderly and out of the work force, we scaled down the imputed wages by multiplying by the rate of labor-force participation in the same demographic group, an approach that recognizes that many caregivers would not work even if they were not providing caregiving services. Our method estimates the loss of income and productive services to the market economy. It does not measure the loss of well-being associated with alternative uses of caregiver time.
Publication 2013
Aged Informal care Labor Force Manpower Obstetric Labor

Most recents protocols related to «Informal care»

This study is part of the longitudinal Lieto study, a clinical, epidemiological study of subjects aged 64 years or older. It was carried out in Lieto, a semi-industrialized rural municipality in South-Western Finland.
All residents born in 1933 or earlier living in Lieto on February 16th of 1998 (n = 1596; 666 men and 930 women, 12% of the population) were invited, in a random order, to participate in the study at baseline. Of those eligible, 63 died before the baseline examination and 273 refused or did not respond. Altogether 1260 (82%) subjects participated in the baseline examination between March 1998 and September 1999, 533 men and 727 women. The baseline examination is described elsewhere [19 (link)].
For re-examination that took place between September and November of 2018, we invited the original Lieto study participants still living at home in the municipality of Lieto in June of 2018 (n = 221). Before the re-examination, five were deceased and three were institutionalized. Seventy-five subjects did not participate, leaving 138 participants for the re-examination. The aim of this study was to describe the true successful agers so the participants with need of formal or informal daily care were excluded from the analyses leaving 112 participants and 53 non-participants, of which 44 responded by mail and their responses were used in the non-response analysis. A flow-chart of the study is shown in Fig. 1.

Flow chart of the study participants

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Publication 2023
Childbirth Informal care RAGE receptor protein, human Woman
Data on institutionalization from baseline to the start of the re-examination in September 2018, and data on need for daily formal or informal care at time of the re-examination were gathered from the municipality’s electronic patient record system.
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Publication 2023
Informal care Institutionalization
The re-examination was performed in collaboration with the study nurse and the study physician at the Lieto Health Care Center or at the participants’ home. It included an extensive interview on socioeconomic factors, health behavior, physical ability, sense of well-being and quality of life. The interview included an assessment of the participants’ SRH, self-reported ability to walk 400 m with or without difficulties (referred to from now on as self-reported walking ability) and self-reported satisfaction with life. Subjective health was assessed with these three variables similarly as in our previous study: a person was considered subjectively healthy if they had good SRH, were self-reportedly able to walk 400 m and had good satisfaction with life [16 ].
Measurements of weight, height, blood pressure, pulse, vision and hearing were performed. Blood pressure values were recorded as the mean of two measurements. Also the Mini-Mental State Examination (MMSE) [21 (link)] and the Zung Self-Rating Depression Scale [22 (link)] were performed. Frailty by three frailty tools; FI, Frail Scale (FS) [23 (link)] and PRISMA-7 [24 (link)], was assessed. The same modifications to the FS and PRISMA-7 were used as in our previous studies [15 (link), 17 (link)]. PBA was counted from the FI (for those with an FI of over 0) as previously described [12 (link)]. At baseline, the FI included 36 items, of which two missing items were allowed and the index was counted accordingly [15 (link), 17 (link)]. At re-examination, the index consisted of 35 original items, of which also two missing items were allowed, and the index was counted accordingly (Additional file 2). PBA was compared to the CA of the same individual and their difference was counted. PBA was considered the same as CA if they were within a year of each other.
Physical functioning was measured by gait speed and grip strength. Gait speed was measured two times by the 4 m walking test when possible and substituted for the 2.5 m walking test in case of lack of space (if performed at the participants’ home). The fastest gait speed was recorded. Grip strength was measured two times using the dominant hand with the reliable and validated Jamar hydraulic hand dynamometer [25 (link)]. The highest grip strength was recorded.
The physical examination was performed by the study physician and it included a review of the participants’ medical records, including all medications used. Also, multiple laboratory tests were analyzed. Former diagnoses were recorded and new ones were set when appropriate. The participants were referred to additional examinations if necessary. The participants were all offered an extensive medical management plan and also the opportunity to discuss this plan and their own expectations for their future medical care with a nurse at the Lieto Health Care Center.
The eyeball test was based on the participants’ clinical appearance at time of the re-examination. The study physician assessed whether the participants seemed younger than their chronological age, the same, or older than their chronological age. The study physician made this judgment based on her clinical knowledge gathered caring for older people in primary care.
Data on successful agers was compared to the data of non-responders without daily informal or formal care. Additional analysis on life satisfaction was performed comparing the results of the successful agers with the re-examined participants with daily formal or informal care, and the non-responders with daily formal or informal care.
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Publication 2023
Blood Pressure Diagnosis Diagnostic Self Evaluation Eye Informal care Mini Mental State Examination Nurses Pharmaceutical Preparations Physical Examination Physicians Primary Health Care prisma Pulse Rate RAGE receptor protein, human Satisfaction Vision Walk Test Youth
An economic evaluation will be executed according to the guidelines of the Dutch National Health Care Institute (Zorginstituut Nederland, 2016). The economic evaluation will be performed from a healthcare and societal perspective. For the healthcare perspective, only costs accruing to the formal Dutch healthcare sector will be considered. For the societal perspective, we will consider costs of the intervention, other healthcare services, occupational healthcare services, informal care, unpaid productivity, absenteeism, and presenteeism.
All relevant costs will be measured using online cost-questionnaires with 3-month recall periods. The cost-questionnaire was developed by our department and tailored to the population and intervention under study. Intervention costs include all costs related to the development, implementation, and execution of the intervention (e.g. ikHerstel, GAS and case-manager) and will be estimated using a micro-costing approach. That is, the cost estimate will be based on actual resources depleted, which will be assessed in detail using prospective data collection, and will be valued in accordance with the Dutch manual for costing studies in health care [49 (link), 50 ]. Other healthcare costs will consist of costs of primary care (e.g. family physician), secondary care (e.g. hospital stay and visits), and medication (both prescribed and over the counter). The cost of occupational healthcare services will consist of costs of visits to the occupational physician or occupational (physio)therapist. If available, other and occupational health care costs will be valued using Dutch standard costs [50 ]. If unavailable, prizes of professional health care organizations will be used. Medication use will be valued using prices derived from http://www.medicijnkosten.nl. Informal care will be measured by asking patients to report the number of hours per week they received help from family and friends. Unpaid productivity losses will be measured by asking patients to report the number of hours per week that they were unable to perform unpaid activities (e.g. voluntary work). Unpaid productivity losses and informal care will be valued using a recommended Dutch shadow price [50 ]. Absenteeism (e.g. total number of sick leave days, measured using a slightly adapted version of the iPCQ [51 ]) and presenteeism (e.g. lower productivity as compared to normal while at work, measured with the WHO-HPQ [52 (link)]) will be valued using sex-specific price weights [50 ]. Using consumer price indices, all costs will be converted to the same reference year. Because the follow-up period of this study is 12 months, it is not necessary to discount costs and effects.
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Publication 2023
Case Manager Drugs, Non-Prescription Friend Health Personnel Informal care Mental Recall Occupational Therapist Patients Pharmaceutical Preparations Physicians Physicians, Family Primary Health Care Secondary Care
Economic appraisal is an integral part of decision making when policy makers seek to find the most efficient use of resources. Rooted in welfare economics, economic appraisal attempts to define whether a project makes a net contribution to social welfare. At its heart are methods for quantifying and valuing changes to individuals' utility as a result of a change in health, so that these values can be used in cost-benefit analyses, for example. In this paper we value health impacts from the societal perspective, taking into account the impact of health on the individual, their family, employers, healthcare providers and the state. This approach incorporates different components of the welfare costs of illness, including direct medical and paid care expenses, indirect lost opportunity costs such as productivity and the value of informal care time, as well as a value which monetises the disutility or pain and suffering associated with disease.
The HAUS model estimates the monetary equivalent of the disutility relating to a loss of welfare associated with risks of premature death and illness. Disutility is expressed as an individual's Willingness to Pay (WTP) to avoid illness or for improvement in health and is assumed to be the sum of the observable cost of illness (lost wages and mitigation costs) and the monetary equivalent of the non-observable cost of lost utility (mortality, pain and suffering). These non-observable costs are estimated using non-market valuation methods.
Society has mechanisms for shifting many costs of illness away from the individual–i.e., via medical insurance and sick leave policies (36 ). This is particularly relevant for the UK, where most healthcare is free at the point of use. We attempt to define the societal impact of changes to health status across a population and identify where the burden of costs of illness falls. In the process of doing so, we utilize data from a range of sources including the published literature on non-market values. In this instance value transfer methods are adopted to ensure that value estimates derived in the context of previous studies are adjusted to reflect their transfer to a different context.
In order to estimate the value of identified changes in health in each impact pathway we multiply the unit values calculated for each specific health impact by the attributable health impact.
Unit values for morbidity impacts are estimated per year of ill health and per case of illness whilst unit values for mortality are estimated as the Value of a Statistical Life (VSL) and the Value of a Statistical Life Year (VSLY).
A library of reference values relating to direct and indirect costs and disutility derived from primary studies was estimated using a systematic review approach, using meta-analysis, benefits transfer techniques and quality assessment to derive reference values and ranges from the primary and secondary evidence base.
A systematic review of published literature was carried out, with additional modeling to estimate unit values for the range of health impacts included in our HAUS model. Electronic sources for peer-reviewed literature were searched, followed by reference searching. Studies were included that had clearly stated methodologies, were written in English, and which could be utilized in a UK context. The search prioritized studies from 2016 to 2020, which estimated values at an individual, per annum or per case level. Reference unit values are estimated for 76 individual health outcomes, including physical and mental illness, mortality, and health related behaviors, such as activity, obesity, and alcohol misuse.
Unit values are estimated for each health outcome in GBP £2019 (Supplementary Table 2). 2019 has been chosen as the reference year for health impacts because of the significant changes to the experience and recording of health since the COVID-19 pandemic began in the UK in March 2020. For example; we know that during this period unusual patterns occurred in expected mortality and hospital admissions, and lockdown restrictions were put in place which affected normal active behaviors (31 ). This may mean that data for 2020 and 2021 are atypical for use in forecasting future trends of health.
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Publication 2023
cDNA Library COVID 19 Ethanol Health Personnel Heart Informal care Mental Disorders Obesity Pain Physical Examination Policy Makers Population Health

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More about "Informal care"

Informal caregiving, family caregiving, unpaid assistance, caregiver support, caregiver burden, activities of daily living (ADLs), instrumental activities of daily living (IADLs), caregiver stress, caregiver health, caregiver wellbeing, caregiver interventions, caregiver policy, caregiver research, caregiver assessments, caregiver education, caregiver respite, caregiver training, caregiver resources, caregiver support groups, caregiver burnout, caregiver depression, caregiver anxiety, caregiver quality of life, caregiver coping strategies, caregiver self-care, caregiver social support, caregiver financial assistance, caregiver employment, caregiver-care recipient relationship, caregiver-care recipient communication, caregiver-care recipient conflict, caregiver-care recipient decision-making, caregiver-care recipient role changes, caregiver-care recipient burden, caregiver-care recipient quality of life, caregiver-care recipient satisfaction, caregiver-care recipient stress, caregiver-care recipient resilience, caregiver-care recipient coping, caregiver-care recipient support, caregiver-care recipient technology, caregiver-care recipient service utilization, caregiver-care recipient community resources, caregiver-care recipient healthcare system navigation, caregiver-care recipient advocacy, caregiver-care recipient end-of-life planning, caregiver-care recipient bereavement, caregiver-care recipient respite, caregiver-care recipient education, caregiver-care recipient counseling, caregiver-care recipient support groups, caregiver-care recipient legal and financial planning, caregiver-care recipient crisis management, caregiver-care recipient case management, caregiver-care recipient transition planning, caregiver-care recipient palliative care, caregiver-care recipient hospice care, caregiver-care recipient telehealth, caregiver-care recipient mobile health apps, caregiver-care recipient smart home technology, caregiver-care recipient social services, caregiver-care recipient community programs, caregiver-care recipient government assistance, caregiver-care recipient employer support, caregiver-care recipient nonprofit organizations, caregiver-care recipient faith-based organizations, caregiver-care recipient support networks, caregiver-care recipient peer support, caregiver-care recipient mentorship, caregiver-care recipient respite, caregiver-care recipient education, caregiver-care recipient counseling, caregiver-care recipient support groups, caregiver-care recipient legal and financial planning, caregiver-care recipient crisis management, caregiver-care recipient case management, caregiver-care recipient transition planning, caregiver-care recipient palliative care, caregiver-care recipient hospice care, caregiver-care recipient telehealth, caregiver-care recipient mobile health apps, caregiver-care recipient smart home technology, caregiver-care recipient social services, caregiver-care recipient community programs, caregiver-care recipient government assistance, caregiver-care recipient employer support, caregiver-care recipient nonprofit organizations, caregiver-care recipient faith-based organizations, caregiver-care recipient support networks, caregiver-care recipient peer support, caregiver-care recipient mentorship.
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