- Research article
- Open Access
- Open Peer Review
Geriatric syndromes, multimorbidity, and disability overlap and increase healthcare use among older Chinese
- Johnny T. K. Cheung1Email authorView ORCID ID profile,
- Ruby Yu1, 2,
- Zimu Wu2,
- Samuel Y.S. Wong3 and
- Jean Woo1, 2
- Received: 26 March 2018
- Accepted: 19 June 2018
- Published: 25 June 2018
Abstract
Background
Geriatric syndromes, multimorbidity, and disability are prevalent among ageing population. However, no study empirically examined their additive or synergistic effect on healthcare use. The present study aims to estimate overlapping prevalence of geriatric syndromes, multimorbidity, and disability; and to examine associations of these three conditions with healthcare use.
Methods
A cross-sectional study was conducted in community-dwelling older adults aged 60 and above in 12 Hong Kong districts. Pearson’s chi-squared test for trend was performed to examine prevalence of geriatric syndromes, multimorbidity, and disability across three age groups (60–69, 70–79, and ≥ 80). Multiple logistic regression was conducted to explore associations of these three conditions with three types of healthcare use (hospital admission, general outpatient clinic and specialist outpatient clinic attendance) respectively.
Results
Among 2618 participants, 75.3, 41.8, and 22.5% had geriatric syndromes, multimorbidity, and disability respectively, and 10.4% had all the three conditions. Prevalence of the three conditions and their coexistence significantly increased with age (p for trend < .001). Each condition was independently associated with at least two out of three types of healthcare use. Interestingly, the associations of multimorbidity and disability with specialist outpatient clinic attendance were weakened at older age, while the associations of geriatric syndromes with hospital admission and specialist outpatient clinic attendance were strengthened. Furthermore, the odds of all the three types of healthcare use increased with the number of conditions present (p for trend < .001).
Conclusions
Our findings support that the three conditions overlap and increase healthcare use. Early identification, prevention and intervention targeting older adults living with multiple healthcare needs are necessary.
Keywords
- Geriatric
- Multimorbidity
- Disability
- Overlap
- Outpatient
- Hospital admission
- Health service use
Background
Geriatric syndromes are a range of conditions representing multiple organ impairment in older adults [1]. Unlike traditional chronic diseases, these syndromes cannot fit into discrete disease categories and are loosely defined [1]. However, frailty [2], sarcopenia [3], cognitive impairment [4], and urinary incontinence [5] are widely recognized as common examples of geriatric syndromes.
Geriatric syndromes, multimorbidity, and disability are closely interrelated. Multimorbidity, the co-occurrence of two or more chronic diseases, can result in geriatric syndromes [6]. Multimorbidity and geriatric syndromes can further cause disability [6]. For example, heart failure and other morbidities accelerate muscle loss leading to sarcopenia, which further result in rapid functional decline [7]. Due to their close interrelation, some researchers considered disability and multimorbidity as geriatric syndromes [8, 9], whereas others suggested that three conditions overlap but are distinct clinical entities [10]. Nevertheless, both definitions highlight the multiple healthcare needs of older adults.
Geriatric syndromes, multimorbidity, and disability are associated with healthcare use. Multimorbidity is traditionally considered as the most important determinant of healthcare use [11], responsible for two-thirds of healthcare cost in America [12]. Hospitalization is strongly associated with severe disability [13]. Geriatric syndromes can predict hospital admission [9, 14]. Furthermore, a review article suggested that these three interrelated conditions may have additive or synergistic effects on healthcare use [10]. In light of the growing healthcare needs of the ageing population, multimorbidity and disability are widely recognized. However, geriatric syndromes are seldom managed in clinical routine [15].
There are knowledge gaps regarding (1) coexistence of geriatric syndromes, multimorbidity and disability within same individuals and (2) their respective associations with healthcare use. First, although several studies estimated overlapping prevalence of frailty, multimorbidity, and disability in community-dwelling older adults [10, 16–20], only one was conducted in Chinese population [21]. In addition, no geriatric syndromes other than frailty were included in these studies. Lack of identification of their multiple healthcare needs may delay local prevention and intervention. Second, although previous studies have explored independent associations of the three conditions with healthcare use [14], none examined whether the associations vary with age. More importantly, the additive or synergistic effect of these three conditions on healthcare use has not been examined empirically. Given the interrelation among the three conditions, the poor understanding of their associations with healthcare use may hinder appropriate long-term care management.
Recognizing the significance of but the dearth of research, we conducted a cross-sectional study on community-dwelling older Chinese in Hong Kong to (1) estimate overlapping prevalence of geriatric syndromes, multimorbidity, and disability; and to (2) examine their associations with healthcare use.
Methods
Study background and subject
This cross-sectional study is a part of baseline well-being assessment of the Jockey Club Community eHealth Care Project, a telecare programme promoting preventive healthcare and self-management. Specifically, the programme consists of (1) data sharing to a nurse team by cloud technology for proactive monitoring and follow-up, (2) regular health measurement with smart cards for recording, and (3) nursing caring call and regular outreach visits by a multi-disciplinary team including nurses, health workers, and social workers. All community-dwelling older adults aged 60 and above were eligible to participate in this telecare programme. We recruited participants in 24 elderly centres located at 12 districts of Hong Kong, between September 2016 and October 2017.
Data collection procedure
Each participant was given a tablet to complete an electronic survey, in a group of 6 to 8. At least one staff member of each elderly centre was trained to lead the groups by going through each question with the participants. Other staff members would further assist the participants with survey completion if necessary. Data collected were automatically uploaded to and stored in the cloud.
Measures
Geriatric syndromes included in this survey were (a) frailty, (b) sarcopenia, (c) mild cognitive impairment, and (d) urinary incontinence. Frailty was measured by the FRAIL scale [22], which consists of five items including fatigue, resistance, ambulation, illness, and loss of weight. The scores ranged from 0 (best) to 5 (worst), representing frail (3–5), pre-frail (1–2), or robust (0) status. The validated SARC-F scale [23] was adopted for sarcopenia screening. The scale consisted of five components, including strength, assistance with walking, rise from a chair, climb stairs, and fall. The scores ranged from 0 to 10, with 0 to 2 points for each component. Scores ≥ 4 indicated the presence of sarcopenia. Mild cognitive impairment was screened with the validated five-item Abbreviated Memory Inventory for Chinese (AMIC) [24]. The scores ranged from 0 to 5, with 1 point for each item. Scores ≥ 3 indicated the presence of mild cognitive impairment. Older adults with any one of the syndromes were considered as living with geriatric syndrome.
Data regarding the presence of chronic diseases diagnosed by doctors was obtained through participants’ self-report. The chronic diseases included (a) hypertension, (b) diabetes mellitus, (c) hypercholesterolemia, (d) heart disease, (e) stroke, (f) chronic obstructive pulmonary disease, and (g) renal disease. Multimorbidity was defined as having two or more chronic diseases.
Disability was determined by the validated Chinese-version five-item Instrumental Activity of Daily Living (IADL) adopted from the Lawton IADL scale [25]. The IADL tasks examined include ability to use telephone, shopping, food preparation, transportation, and ability to handle finance. Participants who had difficulty in performing any one of the activities were classified as living with disability.
Participants reported their healthcare use for any causes in the past 12 months, including (a) hospital admission, (b) general outpatient clinic (GOPC) attendance, and (c) specialist outpatient clinic (SOPC) attendance by responding to a “yes” “no” answer.
Sociodemographic variables including age, gender, marital status, education attainment, and living arrangement were recorded.
Data analysis
Descriptive statistics including prevalence of geriatric syndromes, multimorbidity, disability, and coexistence of these three conditions were computed. Pearson’s chi-squared test for trend was performed to examine trends in the prevalence rates across three age groups (60–69, 70–79, and ≥ 80). Additionally, strength of interrelations among the three conditions was determined by Cramer’s V. A Cramer’s V of < .1 was considered as weak, .1–.3 as moderate, > .3 as strong.
Multiple logistic regression was conducted to explore associations of the three conditions with hospital admission, GOPC attendance, and SOPC attendance in two approaches. First, geriatric syndromes, multimorbidity, and disability were included in the multivariate analysis for each of the three types of healthcare use. The analyses were then stratified by the three age groups. Second, associations of number and combination of conditions with the healthcare use were explored. Pearson’s chi-squared test for trend was performed to examine trends in healthcare use over increasing number of conditions. All multivariate analyses were further adjusted for the sociodemographic variables. Cases with missing data of any variables (n = 3) were excluded from the regression analyses.
Adjusted odds ratios (AORs) and 95% confidence intervals (95% CI) were reported. A p-value of < .05 was considered as statistically significant. All statistical analyses were performed by IBM SPSS Statistics 24 and weighted for age and gender.
Results
Descriptive statistics of participant characteristics (n = 2618)
Characteristics | Number | Percent |
|---|---|---|
Age | ||
60–69 | 1406 | 53.7 |
70–79 | 672 | 25.7 |
≥ 80 | 540 | 20.6 |
Gender | ||
Male | 1245 | 47.5 |
Female | 1373 | 52.5 |
Marital status | ||
Single | 182 | 7.0 |
Married | 1521 | 58.1 |
Widowed | 687 | 26.2 |
Divorced/separated | 227 | 8.7 |
Education | ||
No schooling | 443 | 16.9 |
Primary | 1169 | 44.7 |
Secondary | 839 | 32.1 |
Tertiary | 165 | 6.3 |
Living arrangement | ||
Living with others | 1867 | 71.4 |
Living alone | 749 | 28.6 |
Chronic disease | ||
Hypertension | 1676 | 64.0 |
Diabetes | 783 | 29.9 |
Hypercholesterolemia | 701 | 26.8 |
Heart disease | 352 | 13.5 |
Stroke | 143 | 5.4 |
Chronic Obstructive Pulmonary Disease | 65 | 2.5 |
Renal disease | 40 | 1.5 |
Disability | ||
IADL | 589 | 22.5 |
Geriatric syndrome | ||
Frailty | 369 | 14.1 |
Sarcopenia | 263 | 10.0 |
Mild cognitive impairment | 1787 | 68.3 |
Urinary incontinence | 773 | 29.6 |
Healthcare use (in the past 12 months) | ||
Hospital admission | 617 | 23.6 |
GOPC attendance | 2174 | 83.1 |
SOPC attendance | 2038 | 77.9 |
Prevalence of geriatric syndromes, multimorbidity, and disability
Venn diagram displaying prevalence of geriatric syndromes, multimorbidity, and disability. Cramer’s V: .081 (p < .001) for multimorbidity-disability pair; .026 (p = .178) for multimorbidity-geriatric syndromes pair; .219 (p < .001) for geriatric syndromes-disability pair
Prevalence of geriatric syndromes, multimorbidity, disability, and coexistence of conditions by age groups. All trends in prevalence across age group were significant at p < .001. Coexistence of conditions refers to presence of two or more conditions (geriatric syndromes, multimorbidity, and disability) within same participant
Associations of geriatric syndromes, multimorbidity, and disability with healthcare use
Multiple logistic regression of healthcare use on geriatric syndromes, multimorbidity, and disability. a Hospital admission; b General Outpatient Clinic (GOPC) attendance; c specialist outpatient clinic (SOPC) attendance. Analyses were further adjusted for age, gender, marital status, education, and living arrangement. Reference groups were participants without any conditions
Multiple logistic regression of healthcare use on number and combination of conditions. a Hospital admission; b General Outpatient Clinic (GOPC) attendance; c specialist outpatient clinic (SOPC) attendance. Analyses were further adjusted for age, gender, marital status, education, and living arrangement. Reference groups were participants without any conditions. All trends in healthcare use over increasing number of conditions were significant at p < .001
Discussion
Prevalence of geriatric syndromes, multimorbidity, and disability
In our sample, 75.3, 41.8, and 22.5% had the three conditions respectively, and 10.4% had all the three conditions (Fig. 1). Using similar assessment tools and classifications of the three conditions, a study reveals similar prevalence rates of frailty (10.6%), multimorbidity (46.3%), and disability (25.0%) among Iceland older adults [16]. Meanwhile, the high prevalence of geriatric syndromes found in this study was accounted for by that of mild cognitive impairment (68.3%) diagnosed, much higher than that in other Asian countries such as Japan [26] and Korea [27]. The high prevalence of mild cognitive impairment revealed in our study might be attributed to the relatively low specificity of AMIC (57.4%).
It is notable that geriatric syndromes, multimorbidity, disability, and their coexistence increased in prevalence over age (Fig. 2). On the one hand, the increasing prevalence of geriatric syndromes [28], multimorbidity [29], and disablity [30] over age were well-documented. On the other hand, what our study adds is that ageing strengthened the coexistence of the three conditions in community-dwelling older adults.
Furthermore, our study may also provide some insights regarding the definition of geriatric syndromes. The weak-to-moderate associations among geriatric syndromes, multimorbidity, and disability (Cramer’s V: .026–.219) supported that the three conditions are different clinical entities but cannot be totally untangled.
Associations of geriatric syndromes, multimorbidity, and disability with healthcare use
This is the first study to explore whether associations of the three conditions with healthcare use vary with age and with coexistence of conditions. As expected, this study demonstrates independent associations of the three conditions with higher healthcare use (Fig. 3), in line with previous findings [14]. But interestingly, in our age-stratified analysis, the associations of multimorbidity and disability with SOPC attendance were weakened in older age groups (Fig. 3c). Conversely, the associations of geriatric syndromes with hospital admission and SOPC attendance were strengthened at advanced age (Fig. 3a and c). There were two possible underlying reasons. First, as there was an inconsistent increase in multimorbidity over age observed (Fig. 1), survival bias might play a role in the age-related prevalence of the multimorbidity. Alternatively, instead of attending outpatient clinics, older adults with multimorbidity and/or disability might live in elderly homes to receive care. In Hong Kong, eligible criteria for elderly home admission include advanced age (65 and above), requiring medical care, and disability [31]. Meanwhile, geriatric syndromes are not specified as the admission criteria. Therefore, older adults aged 70 and above with multimorbidity and disability requiring medical care might be underrepresented in our community sample.
Our study also showed dose-response relationships between the number of conditions present and all three types of healthcare use were observed (Fig. 4). The results empirically support additive or synergistic effects of the conditions on healthcare use. Additionally, older adults living with geriatric syndromes only (without multimorbidity and disability) have significantly higher GOPC and SOPC attendance. By contrast, contradicting the notion, those living with multimorbidity and disability (without geriatric syndromes) had lower GOPC attendance. In light of a strong association of the multimorbidity-disability pair with hospital admission (Fig. 4a), older adults living with both multimorbidity and disability might have medical conditions severe enough for direct hospital admission, instead of attending outpatient clinics.
Limitations
Our study has several limitations. First, the findings drawn from community-dwelling older adults might not be generalizable to those living in elderly homes. Second, chronic diseases and geriatric syndromes assessed in this study were limited. The prevalence of the conditions might be underestimated. Third, our results relied on self-reported data, which were subject to recall bias and cognitive impairment in older adults. Fourth, the cross-sectional study design cannot confirm causations but only associations between the conditions and the healthcare use. Fifth, confounders including lifestyle and long-term medications were not adjusted in the multivariate analysis.
Conclusions
Our study reveals that geriatric syndromes, multimorbidity, and disability overlapped and increasingly overlapped at advanced age. The three conditions were independently and cumulatively associated with higher inpatient and outpatient use. These findings inform policy making for early identification of multiple healthcare needs of older adults, in order to facilitate early prevention and intervention. Future studies should adopt longitudinal study design and include older adults living in elderly homes. Mechanisms underlying interrelation or hierarchical relation among the three conditions can also be explored. Health service research can examine community screening and clinical management models targeting the older adults living with multiple conditions including geriatric syndromes.
Abbreviations
- 95% CI:
-
95% confidence interval
- AMIC:
-
Abbreviated Memory Inventory for Chinese
- AOR:
-
Adjusted odds ratio
- GOPC:
-
General outpatient clinic
- IADL:
-
Instrumental activity of daily living
- SOPC:
-
Specialist outpatient clinic
Declarations
Funding
This study was funded by the Hong Kong Jockey Club Charities Trust. The funder did not participate in the design of the study design, data collection, analysis and interpretation and manuscript preparation.
Availability of data and materials
The dataset analyzed during the current study is available from the corresponding author on reasonable request.
Authors’ contributions
JC, RY, and JW participated in the design of the study. RY and JW collected the data. All authors analyzed and interpreted the data. JC drafted the manuscript. RY, ZW, SW, and JW critically revised the manuscript. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The study was performed in accordance with the Declaration of Helsinki. Ethics approval was granted by the Survey and Behavioural Research Ethics Committee of the Chinese University of Hong Kong. Written consent was obtained before the start of the survey.
Consent for publication
Not applicable
Competing interests
The authors declare that they have no competing interests.
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Authors’ Affiliations
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