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Development of the interRAI home care frailty scale

Abstract

Background

The concept of frailty, a relative state of weakness reflecting multiple functional and health domains, continues to receive attention within the geriatrics field. It offers a summary of key personal characteristics, providing perspective on an individual’s life course.

There have been multiple attempts to measure frailty, some focusing on physiologic losses, others on specific diseases, disabilities or health deficits. Recently, multidimensional approaches to measuring frailty have included cognition, mood and social components. The purpose of this project was to develop and evaluate a Home Care Frailty Scale and provide a grounded basis for assessing a person’s risk for decline that included functional and cognitive health, social deficits and troubling diagnostic and clinical conditions.

Methods

A secondary analysis design was used to develop the Home Care Frailty Scale. The data set consisted of client level home care data from service agencies around the world. The baseline sample included 967,865 assessments while the 6-month follow-up sample of persons still being served by the home care agencies consisted of 464,788 assessments. A pool of 70 candidate independent variables were screened for possible inclusion and 16 problem outcomes referencing accumulating declines and clinical complications served as the dependent variables. Multiple regression techniques were used to analyze the data.

Results

The resulting Home Care Frailty Scale consisted of a final set of 29 items. The items fall across 6 categories of function, movement, cognition and communication, social life, nutrition, and clinical symptoms. The prevalence of the items ranged from a high of 87% for persons requiring help with meal preparation to 3.7% for persons who have experienced a recent decline in the amount of food eaten.

Conclusions

The interRAI Home Care Frailty Scale is based on a strong conceptual foundation and in our analysis, performed as expected. Given the use of the interRAI Home Care Assessment System in multiple, diverse countries, the Home Care Frailty Scale will have wide applicability to support program planning and policy decision-making impacting home care clients and their formal and informal caregivers throughout the world.

Peer Review reports

Background

Within geriatrics, the concept of frailty has attracted wide attention as the need to effectively utilize health resources for an expanding older adult population worldwide continues to grow [1, 2]. Frailty may be seen as a conceptual approach for bringing together personal characteristics within a summary measure that has a substantive bearing on a person’s life course [3]. It is often regarded as a description of individuals who are at risk for poor health outcomes [4, 5]. In our view, frailty is a relative state of weakness, with an expected gradual increase in the likelihood of future loss [6, 7]. Central to this concept is the idea that frailty incorporates multiple functional and health domains [8]. For the typical person, we are not speaking about situational losses with an expectation of full recovery from one or at most two health problems. Rather, in our view, a frailty assessment considers the full spectrum from a limited number of persistent problems to a true state of relative disability.

Currently, there are several scales and approaches to measuring frailty used in clinical practice and reported in the literature [914]. They include formal data collection tools as well as indirect sources of information. The PRISMA-7 questionnaire is designed to assess frailty via a telephone interview [11]. Distributed through the postal service or applied in practice by physicians, the 15-item Groningen Frailty Indicator includes the domains of physical, cognitive, social and psychological functioning [10]. Others have relied on an assessment of polypharmacy, the clinical judgment of the physician, or self-rated health status by the patient [1214].

Some investigators have attempted to understand the underlying physiologic factors that might explain why frailty states make sense [1, 6, 15]. From this perspective, an appropriate scale or index of frailty would be based on a limited number of key markers of physiologic loss. Fried and her colleagues [6] created a hierarchical frailty index based on the sum of the person’s score on a limited number of key physiologic relevant dimensions. In this work, they included measures of muscle weakness, walking speed, weight loss, exhaustion, and low activity levels. These are key latent areas in any frailty scale construction effort, although the physical manifestation of these areas will vary. Further study revealed weight loss had a limited contribution while slow walking speed and a low level of physical activity had a strong relationship with the frailty index [16]. Other investigators further focused on outcomes and found the expected relationship over a 6 year period with respect to falls, mobility, activities of daily living, hospitalization, and death [5].

An alternative approach to creating a frailty measurement tool is represented in the work of Rockwood and his colleagues in which large numbers of health deficits are identified and then summed within a complex scale [17, 18]. We find this approach to be compelling, and in this paper we brought together a diverse series of latent concepts from within the interRAI Home Care assessment tool that could lead to heightened vulnerability [4, 1820]. This type of multidimensional, accumulated deficit approach to frailty scale construction can thus incorporate physical, cognitive, clinical, and psycho-social components of frailty [1, 21, 22]. This paper describes one such measure – the interRAI Home Care Frailty Scale. It was derived from a subset of items in the widely used interRAI Home Care (interRAI-HC) assessment instrument [23] and provides a grounded basis for assessing the person’s risk of decline in a wide variety of areas. The interRAI-HC was designed to provide a comprehensive view of a population of persons with a variety of deficits and includes measures of cognition, communication, function, mood, behavior, social isolation, incontinence, health diagnoses, and clinical conditions, and services used [23]. The frailty literature has focused on just such concepts, and we integrated these items drawn from a comprehensive geriatric assessment into a new frailty scale. Our inclusion of possible items was quite broad. Functional measures included ADLs, IADLs, gait disorders, disability measures, and impairment measures that relate to the World Health Organization’s International Classification of Functioning [2426]. Other areas of function included measures of cognitive performance, memory, and communication disorders [12, 2729]. Physical related parameters included sensory loss, hearing loss, communication deficits, pain and other chronic clinical complications [27, 30, 31]. Diseases considered include the person’s cardiopulmonary and musculoskeletal systems [32, 33]. Contextual factors have referenced social despair, isolation, and mood disorders [34, 35].

Methods

Design and sample

A secondary analysis design was used to develop the Home Care Frailty Scale. The data set used in this paper consisted of client level interRAI Home Care data from service agencies around the world. Data were collected from the countries of Australia, Belgium, Canada, China, Finland, Germany, Iceland, Italy, Japan, Netherlands, New Zealand, Sweden, United Kingdom, and the United States. The client data came primarily from Canada (69% of baseline assessments) and the US (16% of baseline assessments). In Canada, the data represent all home care clients in the Provinces of Ontario and Manitoba, and a large sample of home care client sites from Nova Scotia. The home care data in the United States came mainly from all state supported home care clients in Massachusetts, Michigan, and Georgia. The baseline sample included 967,865 assessments, while the 6-month follow-up sample of persons still being served by the home care agencies consisted of 464,788 assessments.

In creating this scale, we followed the recommendations of Searle and colleagues [4] in selecting the items to be included in the scale. Specifically, we focused only on those independent variables that were related to a broad array of outcome characteristics – e.g., decline in function, cognitive decline. In this scale construction paradigm, the selected independent variables had to be shown to be associated with a summary scale that brought together troubling markers of decline. These measures had to represent conditions that could be expected to worsen with age, although concomitantly, they had to be conditions for which inter-person variations in the rates of change could be expected. Finally, the frailty scale had to incorporate items that covered a wide range of systems, including measures of cognition, functional performance, health status, social status, and clinical problems.

Identifying independent variables

This task identified the full pool of over 70 candidate independent variables that were screened for possible inclusion in the interRAI Home Care Frailty Scale. The functional candidate items included a full panel of IADL and ADL measures, as well as several movement related items. The cognition and communication items included measures of memory, decision-making, management of finances, dementia, hearing, expressive communication, and receptive communication. The mental status items included measures of depression, anxiety, anhedonia, wandering, abuse, delusions, and hallucinations. The social items included measures of loneliness and social engagement. Nutrition items referenced weight loss as well as food and liquid consumption. The physical status items included measures related to pain, bone health, heart failure, respiratory status, cancer, renal failure, diabetes, stroke, dizziness, edema, head trauma, oral problems, vomiting, diarrhea, falls, and skin conditions.

Adverse health outcomes, the dependent variables

Scientists working in the area of have examined diverse sets of outcome measures, including, falls, hospitalization, death, institutionalization, functional loss, and cognitive loss [6, 18, 30, 3638]. With our efforts described here, we report on an extended outcome set of 16 measures. They reference functional loss, cognitive and communication decline, clinical instability, and heavy care service use. The set of 16 problematic outcomes reference the accumulating declines and clinical complications that can be expected to become more prevalent as one’s frailty score increases. Table 1 describes these functional, cognitive, clinical prognosis, and service measures. Each measure is scored as either a zero (0), for the condition not being present, or as a one (1) for the condition being present.

Table 1 Key concepts and dependency, dependent variables

These measures were used in two ways for this effort. First, they were summed at baseline and the resulting sum was used as the dependent measure in an ordinary least squares regression equation to identify the independent variables that best entered the interRAI Home Care Frailty Scale. Second, the baseline and follow-up summed dependent variable scales, as well as selected subset of the individual measures (at baseline and follow-up) were displayed against the interRAI Frailty Scale scores. These individual selected measures included: worsening decision making, declining ADL status, self-reported poor health, and near end of life.

We also looked at how the frailty scale scores were related to the average hours of informal and formal supports received by the person. Here we looked at hours of care at baseline and follow-up, as well as assessments of the resiliency of the informal support provided.

Analytical strategies

The data used here were provided pursuant to an agreement with interRAI to make use of its accumulated, cross-national home care data holdings to do research of this type. The analyses were covered by an approval from the Hebrew Senior Life, Institute for Aging Research, Institutional Review Board, and the analyses were completed using SPSS version 20.0.

We first evaluated all independent variables to identify those with a minimum correlation of 0.10 with the baseline sum of the 16 dependent measures. Next, these variables were subjected to regression analysis to identify those that made a unique contribution to the summary outcome measure. These measures then were summed to create the interRAI HC Frailty Scale. The internal consistency of the correlation among these items was assessed using the KR 20 alpha reliability estimate. The interRAI Frailty Scale was next assessed against a variety of dependent variables clusters, from the total count of dependent outcomes to a selected set of representative outcomes that made up the dependent summary scale. These assessments provided evidence of criterion-related validity.

Results

Of the sample population at baseline, 60.4% were female and 36% were married. The median age of the sample population was 79 years with an interquartile range of 16. There was a linear relationship between the frailty index and chronological age (Pearson correlation = 0.10, non-linear Eta correlation = 0.11). As age increased, there was slight tendency for frailty scale score to increase. Nearly one-half (48.5%) had no ADL deficits, 3.1% had no IADL deficits, and 27% were fully dependent in IADLs. The cognitive performance scale, a cognitive measure within the interRAI Home Care assessment system demonstrated that 38.9% of the sample were cognitively intact or independent in all elements of cognition. Within this sample, 60.2% had no symptoms of depression and 25.5% had 2 or more depressive symptoms.

The regression of all independent items with a minimum of 0.10 correlation with the dependent variable count measure resulted in a final 29 variable frailty risk set. Table 2 lists these measures. The items fall across 6 categories and include function, movement, cognition and communication, social life, nutrition, and clinical symptoms. The prevalence of the items range from a high of 87% for persons requiring help in meal preparation to 3.7% for persons who have had experienced a recent decline in the amount of food eaten.

Table 2 interRAI home care frailty scale items and associated correlations

Figure 1 displays the distribution of the interRAI Home Care Frailty Scale at the baseline assessment. In this cross-national home care population, 96% of persons have one or more of the problem factors that make up the scale. The mean score was 6.6, the median score was 6, and there was a progressive decrease in persons in the scale categories as one moved beyond the median to the highest score of 24. Scale scores 15 through 23 included approximately 3% of the home care clients.

Fig. 1
figure1

interRAI home care frailty scale (Mean = 6.56, Median = 6, sd = 3.76, N = 964,479) (KR 20 Alpha Reliability = 0.75)

Figure 2 displays the cross-walk between the count of problem outcomes (which ranged from 0 to 16 and the baseline interRAI Home Care (HC) Frailty Scale (with scores of 19 or higher rounded to 19). This figure displays results at the baseline and 6-month follow-ups. At both time points average number of problematic outcomes rises in a linear fashion across the categories of the interRAI HC Frailty Scale. In this cross-national home care population, persons with the best score on the interRAI HC Frailty Scale averaged about 2.1 to 2.7 problematic outcomes. At the median point on the interRAI HC Frailty Scale, this count had risen to about 4.2. At the highest (worst) category of the interRAI HC Frailty Scale the problematic outcome mean rose to 9.3 at baseline and 7.8 at follow-up.

Fig. 2
figure2

Mean problem outcome count vs. interRAI HC frailty scale

Figure 3 displays the baseline-and follow-up scores for four of the items in the problematic condition count: cognitive decline, functional decline, in poor health, and near the end of life indicators. The prevalence for each dependent measure rises across the increasing score count for the interRAI HC Frailty Scale. The slope is greatest for the cognitive and functional decline measures, and least for the measure that indicates that the person is near the end of life.

Fig. 3
figure3

interRAI HC frailty scale and incidence of 4 problematic outcomes

Figure 4 displays a measure of personal dependency that is outside the dependent variable count used above, referencing the hours of informal, formal and total care the person received across the values of the interRAI HC Frailty Scale. The level of informal help received from family and friends during the week rises steadily from 6 h a week for those with no frailty risk markers, to 20 h a week at the median point, and to 57 h a week for persons with a score of 19 or higher. The increase in formal care hours is more muted, rising from 1.7 to 13.4 h of care per week.

Fig. 4
figure4

interRAI frailty scale and weekly mean hours of care

Figure 5 looks at informal caring activities in yet another dimension, displaying the proportion of persons for whom there is a concern about their ability to continue in their caring role. Here that rate begins at 3% for persons with no frailty markers, to 12% at the median point, and 36% for those with 19 or more frailty markers.

Fig. 5
figure5

interRAI frailty scale and proportion of informal caregivers unable to continue in caring activities

Discussion

We have presented the development and evaluation of the interRAI HC Frailty Scale that is based on assessment items within the interRAI Home Care Assessment System. As such, the HC Frailty Scale has emerged from a comprehensive geriatric assessment, in contrast to a recommendation that identification of frailty be followed by a comprehensive assessment [39]. Here, the frailty may be assessed and reassessed at scheduled intervals to obtain a scale score in addition to a repeated comprehensive evaluation without additional time or resources.

Using a cross-national data set of 967,865 baseline assessments and 464,788 6-month follow-up assessments, 70 variables were independently screened for inclusion in the Frailty Scale. The final scale consisted of 29 assessment items that best correlated with a select group of dependent measures representing accumulating declines and clinical complications. The frailty scale items address the areas of function, movement, cognition and communication, social life, nutrition, and clinical symptoms. The resulting scale is consistent with prior work demonstrating frailty as a relative state of weakness with expectant future loss [6, 7]. The positive relationship between frailty score and chronological age was present, similar to other studies but there is strong evidence of the multi-dimension components of frailty [40, 41].

The frailty scale scores extended from zero or no frailty markers to a high of 29. Approximately 3% of the home care clients had frailty scores between 15 and 23 indicating that with a high level of frailty, an individual would be less likely to remain at home. Conversely, the distribution of frailty scores clustered towards the lower end of the scale as one might expect given the overall health status of the sample was stable enough to reside in the community and receive support at home. Evidence of criterion-related validity was reflected in the comparison of frailty scores with proportion of home care clients experiencing problematic outcomes of cognitive decline, functional decline and self-reported poor health. Markers suggesting end of life, although related to increasing frailty, rose at a significantly lower rate than did the other outcomes. The relationship between the frailty scores and weekly hours of care required further validates the measure. Notably, weekly formal care hours gradually increase with higher frailty scores. In contrast, the weekly informal care hours increase sharply with rising frailty scores. This outcome call attention to the need to further examine the roles and responsibilities of the informal caregiver as well as the support available to assist these often unacknowledged and ‘unofficial’ health care providers. The increasing proportion of informal caregivers reporting an inability to continue with care activities provides a further imperative to address the needs of this group.

The approach in developing the Frailty Scale from items contained in the interRAI Home Care Assessment tool is similar to the frailty index developed from data gathered at a geriatric day-hospital unit in Toulouse frailty clinic [16]. The items from this scale included chronic diseases, basic and instrumental disabilities, serum Vitamin D, cognition, physical performance, obesity, visual and hearing impairment and malnutrition. In comparision, the interRAI Home Care Frailty Scale contains items representing physical function, movement, cognition and communication, nutritional status, and clinical symptoms and diagnoses.

In creating a frailty measurement tool Rockwood and his colleagues [17, 18] had a compelling approach in which large numbers of health deficits are identified and then summed within a complex scale. With our efforts we brought together a diverse series of latent concepts from within the interRAI Home Care assessment tool that could lead to heightened vulnerability [4, 1820]. This type of multidimensional, accumulated deficit approach to frailty scale construction thus incorporated physical, cognitive, clinical, and psycho-social components of frailty [1, 21, 22].

Conclusion

The interRAI Home Care Frailty Scale provides a summary measure of personal characteristics impacting an individual’s life course. The scale is based on a strong conceptual foundation and in our evaluation, performed as expected. Items for the Home Care Frailty Scale originate from the interRAI Home Care assessment system which is a comprehensive geriatric assessment completed on home care clients at pre-specified intervals. It is used across the globe including such diverse countries as the US, Canada, New Zealand, Hong Kong, Finland, Italy, and France. Thus, this new frailty scale will thus have wide applicability. There is a wide score range and a diverse set of outcome measures have now been shown to track with this scale.

Prior work has demonstrated that frailty, at earlier stages, may be reversible [42, 43]. Early and consistent measurement of frailty are key to interventions that may prevent decline and increased dependency among older adults. The interRAI Home Care Frailty Scale is well positioned to work in such a way, impacting the home care population in multiple nations throughout the world without the need for additional data collection tools, time or resources.

This scale also may serve as a valuable instrument for program planning and policy decision-making impacting home care clients and their formal and informal caregivers throughout the world.

References

  1. 1.

    Bouillon K, Kivimaki M, Hamer M, Sabia S, Fransson E, Singh-Manoux A, Batty GB. Measures of frailty in population-based studies: an overview. BMC Geriatr. 2013;13:64. doi:10.1186/1471-2318-13-64.

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Cesari M, Prince M, Thiyagarajan JA, DeCarvalho IA, Bernabei R, Chan P, Gutierrez-Robledo LM, Michel JP, Morley JE, Ong P, Manas LR, Sinclair A, Won Won C, Beard J, Vellas B. Frailty: an emerging public health priority. J Am Med Dir Assoc. 2016;17(3):188–92.

    Article  PubMed  Google Scholar 

  3. 3.

    Harrison JK, Clegg A, Conroy SP, Young J. Managing frailty as a long-term condition. Age Ageing. 2015;44:732–5. doi:10.1093/ageing/afv085.

    Article  PubMed  Google Scholar 

  4. 4.

    Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K. A standard procedure for creating a frailty index. BMC Geriatr. 2008;8:24. doi:10.1186/1471-2318-8-24.

    Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Clegg A, Young J, Iliffe S, Rikkert MO, Rockwood K. Frailty in elderly people. Lancet. 2013;381(9868):752–62. doi:10.1016/S0140-6736(12)62167-9.

    Article  PubMed  Google Scholar 

  6. 6.

    Fried LP, Tangen CM, Walston J, Newman AB, Hirsch C, Gottdiener J, Seeman T, Tracy R, Kop WJ, Burke G, McBurnie MA. Frailty in older adults: evidence for a phenotype. J Gerontol A. 2001;56(3):M146–56. doi:10.1093/gerona/56.3.m146.

    CAS  Article  Google Scholar 

  7. 7.

    Song X, Mitnitski A, Rockwood K. Prevalence and 10-year outcomes of frailty in older adults in relation to deficit accumulation. J Am Geriatr Soc. 2010;58(4):681–7. doi:10.1111/j.1532-5415.2010.02764.x.

    Article  PubMed  Google Scholar 

  8. 8.

    Dent E, Kowal P, Hoogendijk EO. Frailty measurement in research and clinical practice: a review. Eur J Intern Med. 2016;31:3–10. doi:10.1016/j.ejim.2016.03.007.

    Article  PubMed  Google Scholar 

  9. 9.

    Sutorius FL, Hoogendijk EO, Prins BA, van Hout HPJ. Comparison of 10 single and stepped methods to identify frail older persons in primary car: diagnostic and prognostic accuracy. BMC Fam Pract. 2016;17:102. doi:10.1186/s12875-016-0487-y.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Peters LL, Boter H, Busken E, Slaets JPJ. Measurement properties of the Groningen frailty indicator in homesewlling and institutionalized elderly people. J Am Med Dir Assoc. 2012;13:546–51. doi:10.1016/j.jamda.2012.04.007.

    Article  PubMed  Google Scholar 

  11. 11.

    Herbert R, Raiche M, Dubois MF, Gueye NR, Dubuc N, Tousignant M. Impact of PRISMA, a coordination-type integrated delivery system for frail older people in Quebec: a quasi-experimental study. J Gerontol B Psychol Sci Soc Sci. 2010;65B:107–18. doi:10.1093/geronb/gbp027.

    Article  Google Scholar 

  12. 12.

    Rolfson DB, Majumdar SR, Tsuyuki RT. Validity and reliability of the Edmonton Frail Scale. Age Ageing. 2006;35:526–9. doi:10.1093/ageing/afl041.

    Article  PubMed  Google Scholar 

  13. 13.

    Gómez C, Vega-Quiroga S, Bermejo-Pareja F, Medrano MJ, Louis ED, Benito-León J. Polypharmacy in the elderly: a marker of increased risk of mortality in a population-based prospective study. Gerontology. 2015;61:301–9.

    Article  PubMed  Google Scholar 

  14. 14.

    Lee Y. The predictive value of self assessed general, physical, and mental health on functional decline and mortality in older adults. J Epidemiol Community Health. 2000;54:123–9. doi:10.1136/jech.54.2.123.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Mocchegiani E, Corsonello A, Lattanzio F. Frailty, ageing and inflammation: reality and perspectives. Biogerontology. 2010;11(5):523–5. doi:10.1007/s10522-010-9299-y.

    Article  PubMed  Google Scholar 

  16. 16.

    Hoogendijk EO, van Kan GA, Guyonnet S, VEllas B, Cesari M. Components of the frailty phenotype in relation to the frailty index: results from the Toulouse frailty platform. J Am Med Dir Assoc. 2015;16(10):855–9.

    Article  PubMed  Google Scholar 

  17. 17.

    Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, Mitnitski A. A global clinical measure of fitness and frailty in elderly people. CMAJ. 2005;173(5):489–95.

    Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Rockwood K, Mitniski A. Frailty in relation to the accumulation of deficits. J Gerontol A Biol Sci Med Sci. 2007;62:722–7.

    Article  PubMed  Google Scholar 

  19. 19.

    Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. Sci World. 2001;1:323–36.

    CAS  Article  Google Scholar 

  20. 20.

    Martin FC, Brighton P. Frailty: different tools for different purposes? Age Ageing. 2008;37:129–31. doi:10.1093/ageing/afn011.

    Article  PubMed  Google Scholar 

  21. 21.

    Dent E, Chapman I, Howell S, Piantadosi C, Visvanathan R. Frailty and functional decline indices predict poor outcomes in hospitalized older people. Age Ageing. 2014;43(4):477–84. http://doi:10.1093/ageing/aft181.

    Article  PubMed  Google Scholar 

  22. 22.

    Langlois F, Vu TTM, Kergoat M-J, Chassé K, Dupuis G, Bherer L. The multiple dimensions of frailty: physical capacity, cognition, and quality of life. Int Psychogeriatr. 2012;24(09):1429–36. https://doi-org.ezproxy.neu.edu/10.1017/S1041610212000634.

    Article  PubMed  Google Scholar 

  23. 23.

    interRAI. The interRAI Home Care Assessment System. 2007. http://www.interrai.org/home-care.html. Accessed 15 June 2016.

  24. 24.

    Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged: the index of adl: a standardized measure of biological and psychosocial function. JAMA. 1963;185(12):914–9. http://doi:10.1001/jama.1963.03060120024016.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Hardy SE, Dubin JA, Holford TR, Gill TM. Transitions between states of disability and independence among older person. Am J Epidemiol. 2005;161(6):575–84. http://doi:10.1093/aje/kwi083.

    Article  PubMed  Google Scholar 

  26. 26.

    World Health Organization. International Classification of Functioning, Disability and Health: ICF. Geneva: World Health Organization; 2001.

    Google Scholar 

  27. 27.

    Colón-Emeric CS, Whitson HE, Pavon J, Hoenig H. Functional decline in older adults. Am Fam Physician. 2013;88(6):388–94.

    PubMed  PubMed Central  Google Scholar 

  28. 28.

    Malmstrom T, Morley J. Frailty and cognition: linking two common syndromes in older persons. J Nutr Health Aging. 2013;17(9):723–5. doi:10.1007/s12603-013-0395-y.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Takechi H, Sugihara Y, Kokuryu A, Nishida M, Yamada H, Arai H, Hamkawa Y. Do the conventional indices of cognitive function and frailty predict levels of care in a long-term care insurance program for memory clinic patients in Japan. Geriatr Gerontol Int. 2012;12:630–6. doi:10.1111/j.1447-0594.2011.00828.x.

    Article  PubMed  Google Scholar 

  30. 30.

    O’Caoimh R, Gao Y, Svendrovski A, Healy E, O’Connell E, O’Keeffe G, Cronin U, O’Herlihy E, Cornally N, Molloy WD. Screening for markers of frailty and perceived risk of adverse outcomes using the Risk Instrument for Screening in the Community (RISC). BMC Geriatr. 2014;14:104. doi:10.1186/1471-2318-14-104.

    Article  PubMed  PubMed Central  Google Scholar 

  31. 31.

    Panza F, Solfrizzi V, Logroscino G. Age-related hearing impairment- a risk factor and frailty marker for dementia and AD. Nat Rev Neurol. 2015;11(3):166. doi:10.1038/nrneurol.2015.12.

    Article  PubMed  Google Scholar 

  32. 32.

    Uchmanowicz I, Lisiak M, Wontor R, Łoboz-Rudnicka M, Jankowska-Polańska B, Łoboz-Grudzień K, Jaarsma T. Frailty syndrome in cardiovascular disease: clinical significance and research tools. Eur J Cardiovasc Nurs. 2015;14(4):303–9. http://doi:10.1177/1474515114568059.

    Article  PubMed  Google Scholar 

  33. 33.

    Milte R, Crotty M. Musculoskeletal health, frailty and functional decline. Prev Musculoskelet Disabil. 2014;28(3):395–410. http://doi:10.1016/j.berh.2014.07.005.

    CAS  Google Scholar 

  34. 34.

    Schnittger R, Walsh CD, Casey A, Wherton JP, McHugh JE, Lawlor BA. Psychological distress as a key component of psychosocial functioning in community-dwelling older people. Aging Ment Health. 2012;16(2):199–207. doi:10.1080/13607863.2011.604024.

    Article  PubMed  Google Scholar 

  35. 35.

    Gale CR, Cooper C, Deary IJ, Aihie Sayer A. Psychological well-being and incident frailty in men and women: the English Longitudinal Study of Ageing. Psychol Med. 2014;44(04):697–706. http://doi:10.1017/S0033291713001384.

    CAS  Article  PubMed  Google Scholar 

  36. 36.

    Robertson DA, Savva GM, Coen RF, Kenny R. Cognitive function in the prefrailty and frailty syndrome. J Am Geriatr Soc. 2014;62(11):2118–24. doi:10.1111/jgs.13111.

    Article  PubMed  Google Scholar 

  37. 37.

    Samper-Ternet R, Snih SA, Raji MA, Markides KS, Ottenbacher KJ. Relationship between frailty and cognitive decline in older Mexican Americans. J Am Geriatr Soc. 2008;56(10):1845–52. doi:10.1111/j.1532-5415.2008.01947.x.

    Article  Google Scholar 

  38. 38.

    Woods NF, LaCroix AZ, Gray SL, Aragaki A, Cochrane BB, Brunner RL, Masaki K, Murray A, Newman AB. Women’s Health Initiative: frailty: emergence and consequences in women aged 65 and older in the Women’s Health Initiative Observational Study. J Am Geriatr Soc. 2005;14(8):1321–30. doi:10.1111/j.1532-5415.2005.53405.x.

    Article  Google Scholar 

  39. 39.

    DeLepeleire J, Illiffe S, Mann E, Degryse JM. Frailty: an emerging concept for general practice. Br J Gen Pract. 2009;59:e177–82. doi:10.3399/bjgp09X420653.

    Article  Google Scholar 

  40. 40.

    Santos-Eggimann B, Cuénoud P, Spagnoli J, Junod J. Prevalence of frailty in middle-aged and older community-dwelling Europeans living in 10 countries. J Gerontol A Biol Sci Med Sci. 2009;64:675–81.

    Article  PubMed  Google Scholar 

  41. 41.

    Rockwood K, Song X, Mitnitski A. Changes in relative fitness and frailty across the adult lifespan: Evidence from the Canadian National Population Health Survey. CMAJ. 2011;183:E487–94.

    Article  PubMed  PubMed Central  Google Scholar 

  42. 42.

    Theou O, Cann L, Blodgett J, Wallace LMK, Brothers TD, Rockwood K. Modifications to the frailty phenotype criteria: systematic review of the current literature and investigation of 262 frailty phenotypes in the Survey of Health, Ageing, and Retirement in Europs. Ageing Res Rev. 2015;21:78–94.

    Article  PubMed  Google Scholar 

  43. 43.

    Gill TM, Gahbauer EA, Allore HG, Han L. Transitions between frailty states among community-living older persons. Arch Intern Med. 2006;116:418–23.

    Article  Google Scholar 

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Acknowledgements

The authors remain grateful to interRAI.org and specifically the home care clients whose assessments provided the data for this project. They also thank Ms. Laura Santos, RN and Ms. Gabriella Rao for their assistance with the manuscript.

Funding

Partial support for this study was provided by interRAI (an international non-profit) who provided the data set.

Availability of data and material

The dataset analyzed for the current project is available from the lead author on reasonable request.

Authors’ contributions

JNM led the study design, analysis and interpretation of data, and preparation of the manuscript. EH provided bibliographic support for the manuscript. EH and KS collaborated in interpretation of data and revision of the manuscript. The final version of the manuscript was revised and approved by all authors.

Competing interests

JNM, EH, KS are members of interRAI.

Consent for publication

Not applicable.

Ethics approval and consent to participate

The secondary analyses performed here are covered by an approval from Hebrew SeniorLife, Institute for Aging Research Institutional Review Board. The data used here were provided pursuant to an agreement with interRAI to make use of its accumulated, cross-national home care data holdings to do this type of research. All data were de-identified and consent was not required.

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Correspondence to Elizabeth P. Howard.

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Morris, J.N., Howard, E.P. & Steel, K.R. Development of the interRAI home care frailty scale. BMC Geriatr 16, 188 (2016). https://doi.org/10.1186/s12877-016-0364-5

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Keywords

  • Frailty scale
  • Home care
  • InterRAI
  • Assessment