Economic Burden of Healthcare Utilisation by Older Persons Living in the Community in Malaysia
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Objective: The aim of the study is to estimate the economic burden of healthcare utilisation by older persons in Malaysia at a national scale. The specific objectives are to: (1) identify the healthcare utilisation behaviour of older persons; (2) estimate the direct and indirect healthcare costs at the community setting, and (3) estimate the economic burden of healthcare utilisation by older persons.
Methods: The survey utilised multi-stage random sampling techniques to recruit a total of 2,274 elderly respondents aged 60 years and above. The economic burden of healthcare utilisation by an older person was estimated using multiple sources of data, namely administrative cost and healthcare cost from both institutional and community settings.
Results: The prevalence of outpatient and inpatient care was 60.5% and 5.6%, respectively. Older persons generally chose government facilities for both inpatient and outpatient services. The average direct cost for outpatient and inpatient care were RM 141.24 and RM 2,527, respectively. The average indirect costs for outpatient and inpatient care were RM 31.44 and RM 524.07, respectively. The economic burden of healthcare utilisation by an older person was estimated at RM 3,807,481,491, which represent 0.34% of the total GDP in 2014 or 8% of the total health expenditure in the same year. By 2040, the burden is projected to reach a staggering RM 21 billion, or around 1.08% of the total GDP. The economic burden of healthcare utilisation by older persons is expected to increase as Malaysia is moving towards an aged nation by 2045.
Conclusion: The
utilization of outpatient care for older persons was estimated at 60% and most
of the sought-after services were heavily subsidized government facilities. This
study highlights the needs for the government to embark on preventive health
and comprehensive education to decrease the prevalence and severity of non-communicable
diseases (NCDs) among both the future aged and existing elderly in Malaysia. Alternatively,
health care reform may be timely to ease the burden of healthcare utilisation
by an even bigger percentage of older persons, once we become an aged nation.
1.
Introduction
Life expectancy indicates the average period a person may
expect to live [1, 2]. Malaysia has made a significant progress in improving
the life expectancy of its people. Malaysia’s life expectancy is higher than that
of upper-middle-income countries but below that of high-income countries [3].
In 2020, life expectancy for Malaysia was 74.9 years, indicating an improvement
from 74.5 and 64.2 years old reported in 2014 and 1969, respectively [3, 4].
The prolonged survival of older persons accompanied
by lower fertility rates, reaching below replacement of 2.1 in 2013, has led to
population ageing. There has been a steady increase in the population of older
persons from 3.4 million in 2019 to 3.5
million (10% of the total Malaysian population) in 20205 Malaysia is expected to become an aged nation in 2040
when 14.5% of the population will comprise an older population aged 65 years and
above [6].
Longevity comes with cost and tricky consequences. Obviously,
a nation has to invest in longevity by improving public health. This is done by
way of investing in human and infrastructural development indicated by factors
such as better access to quality drinking water, sanitation, improvement in
health and nutrition. Improvement in public health has also been seen in
preventive medicine such as in childhood immunization and in the health care of
older people [7]. The important health outcomes of these investments
are better survival in infancy and childhood and at older ages, but investing
in longevity is costly. For instance, in the United States and Germany, a 1%
annual increase in their health expenditures was associated with a 0.020 and
0.121 per cent increase in life expectancy in each respective country8.
In the same vein, longevity may prolong one’s life, but it does not automatically
imply that health status or quality of life has improved [9]. Malaysia’s
life expectancy at 60 grew substantially from 15.39 in the 1970s to 19.8 years
in 2020[3,4]. However, the proportion of healthy years in life
expectancy among Malaysians remained at 88.5% in 2016 since 2000 [2].
Therefore, an average Malaysian born in 2016 is expected to live up to 75 years
but can only expect to enjoy good health until the age of 67 years [2].
Old age is associated with several geriatric events such as multi-morbidity or
multiple chronic conditions due to lower immunity and resistance to diseases,
poor diet and less physical activities. These factors increase the
vulnerability of older persons to chronic health problems and a high-risk group
for non-communicable diseases (NCDs) [10, 11]. Hence, the ageing population has been partly blamed for
the rising prevalence of NCDs in Malaysia. The most common NCDs in Malaysia are
hypertension, diabetes mellitus and hypercholesterolemia [11] with a
prevalence of 51.1%, 27.7%, and 41.8%, respectively [12] among the
nation’s elderly population. A synthesis from various studies indicated that the
risk of dementia and vascular dementia is higher among older persons with
comorbidities including diabetes mellitus, severe hypertension or heart disease
[13, 14, 15, 16].
The increasing
prevalence of NCDs among older persons increases the demand and utilization of healthcare
services. As a high proportion of the population ages, there is a higher
prevalence of NCDs and morbidity, thus resulting in a corresponding increase in
the number of older people requiring outpatient care, healthcare and hospitalization
services [10]. Consequently, health financing becomes a burden not
only to stakeholders but also to the ageing population. Malaysian health care
system provides options for all citizens to seek highly subsidised care in the
public sector [17]. Therefore, Malaysia was reported to still have
the lowest medical expenditure risk among selected Asian countries [18, 19].
The public sector provides about 82% of inpatient care and 35% of ambulatory
care, whereas the private sector provides about 18% of inpatient care and 62%
of ambulatory care [20]. The spendings on health made up 3.3% of the
GDP in 2000, reaching 4.0% of the GDP in 2010 and 4.24% in 2017. In addition, the
majority of the total health expenditure (THE) was from public spending, which was
estimated as 53.19% in 2000, 58.75% in 2010 and 51.15% in 2017. Despite the
healthcare spending is still below the 7% benchmark recommended by the World
Health Organisation (WHO), it has been on an upward trend in the last few
decades. The main sources of THE in 2017 were the Ministry of Health (43.09%)
and the household out-of-pocket expenditure (37.61%) [21].
Demographic
and epidemiological transitions from communicable to NCDs are expected to put
pressure on the government’s resources. The Global Burden of Disease Study
reported that 23% of the total burden of diseases is attributed to older people
and chronic non-communicable diseases, with cardiovascular disease as the
leading contributor [22]. In Malaysia, NCDs account for 67% of
premature mortality, and over 70% of disease burden in 2014. In 2017, NCDs
accounted for 72.4% of the burden of disease according to three selected NCD
categories (cardiovascular disease, cancer and diabetes) and other NCDs (all
other non-communicable diseases – cirrhosis, chronic respiratory disease,
digestive diseases, neurological disorders and mental and substance use
disorders). The outlook of younger age cohort health lifestyle and health
condition suggests that NCD burden will likely remain high in the future [23].
Furthermore, with the ongoing ageing of the population, the increase in the
costs of caring for the elderly population will also be a challenge for public
health care systems.
The estimation
of health care cost and the associated economic burden is important for
planning services to meet the need of the older population, for planning
promotive and preventive strategies related to health outcome across the life
span, and for allocating more efficient resources to the older population. This
study attempted to estimate the economic cost associated with the healthcare
utilisation by older persons living in the community. The specific objectives
of this paper are (1) to analyse healthcare utilisation behaviour of older
persons, (2) to estimate the cost of healthcare utilization in public, private
and alternative facilities; (3) to estimate the economic burden of healthcare
utilisation by older persons in Malaysia.
2.
Materials
and Method
2.1 The
data
Multiple datasets were utilised from the following sources: (1) Data
from the providers and community survey component of a nation-wide study on “Identifying
Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among
Elderly”. The data were employed to estimate the providers’ and community
costs associated with healthcare services, and the prevalence of inpatient and
outpatient utilisation behaviours of older persons. The providers’ surveys involved seven hospitals with
memory clinics and the provider cost used in this study was adopted a related
study [26] The focus of the present study was on data obtained from
the nationwide community as detailed out in the following section. (2) The data on elderly population and national income were
obtained from Department of Statistics
Malaysia (DOSM) i.e., the National
Population and Housing Census 2010 and the value of Gross Domestic Product
(GDP) Nominal 2014 for the estimation the economic costs of healthcare utilisation
by older persons on the national level.
2.2 Data
collection and sample
The data were obtained from the community survey
entitled “Identifying Psychosocial and Identifying Economic Risk Factor of
Cognitive Impairment among Elderly” in Peninsular Malaysia. It was a
cross-sectional study that utilised a multi-stage proportional cluster random
sampling technique to obtain a representative sample of community-dwelling
Malaysian older persons. The inclusion criteria for the sample were that they
must be Malaysian citizen aged 60 years old and above, whereas the exclusion
criteria were known psychiatric problem (Dementia and Alzheimer Disease),
alcoholism, serious physical disability (bed-ridden, wheelchair-bound) and
terminal illness. The selection process was as follows: (1) Stage 1: Selection of
states. The 11 states and two federal territories in Peninsular were grouped
into four zones or regions (i.e. South, North, Central and East). In the first
stage, states with the highest numbers of older
adults aged 60 years and above in each region were selected. Hence, the
following states were selected to represent each region: Johor (South Region); Kelantan (East Region);
Perak (North Region); and Selangor (Central Region); (2) Stage 2: Selection of Census
Circle (CC). The sampling frame was provided by
the Department of Statistics Malaysia (DOSM). Based on National
Population and Housing Census 2010, Malaysia was divided into Census
Circles (CCs) which were geographically contiguous areas with identified
boundaries. There were 10,822 CCs in Malaysia in 2010. In the second stage,
only CCs with an elderly population of at least 10% of the total population (within
the selected state above) were selected. A total of 35 Census Circle (CC)
clusters were sampled from each state (3) Stage 3: Selection of Living Quarters (LQ). Each Census Circle contained about seven Enumeration Blocks (EBs)
and each EB consisted of 80 to 120 Living Quarters (LQs). In the third stage, a
total of 20 LQs were selected from each CC cluster of each state selected
earlier. The elderly in these LQs were randomly interviewed. Specifically, only
one resident aged 60 years and above from each household was interviewed.
Should there be more than one older person in a household who were qualified to
become the respondents, only one of them was randomly chosen. Data were collected through face-to-face
interviews by trained enumerators using a set of pre-tested questionnaires. Before
the interview, respondents were briefed on the purpose of the study and were
assured of the privacy, anonymity and confidentiality of all the information. The
interviews were conducted at places such as school halls, mosques, or community
halls in their LQ area. A total of 2,322 older persons participated in the
study, but only 2,274 were eligible for the analyses.
2.3 Research instrument
The research instrument consisted of a pre-tested questionnaire.
The instrument was used to obtain data via a face-to-face interview with the
respondents in the community. The questionnaire was adapted from the UNU-IIGH
Malaysia, Universiti Kebangsaan Malaysia to estimate the direct and indirect
costs for health care utilisation. Information contained in the instrument were
as follows: socio-economic and demographic backgrounds, morbidity as diagnosed
by medical practitioners, history of outpatient care and inpatient care.
2.4. Ethical approval
Ethical approval was obtained from the
respective Institutional Review Board. Ethical approval to conduct research in the hospital settings was
obtained from the Ministry of Health Malaysia (registration number,
NMRR-13-1023-14660). For the community survey, approval was obtained from the Universiti Kebangsaan Malaysia’s ethics
committee. In addition, information sheets about the study and consent form for
the participants were distributed before conducting the interview.
2.5. Method of cost calculation
Costs
were divided into two categories: direct costs and indirect costs. The direct
costs consisted of direct medical costs and direct non-medical costs. Direct
medical cost comprised self-reported clinical and hospital charges including
prescription, consultation, diagnostic and procedure charges from different
types of healthcare facilities (i.e. government hospitals, government clinics,
private hospitals, clinics etc.). Other costs in the category included were the
costs of transportation, meal, accommodation, and other related expenditures
(supplemental food or other alternative treatment) incurred by the elderly. The indirect costs consisted of the opportunity cost of
the time of the respondents during the course the treatment. Informal care
costs by the caregivers were not included for this study due to unavailability
of data. Thus, the cost was estimated based on the expenditure incurred
from receiving care from formal establishment service providers and out-of-pocket
(OOP) expenses by older persons.
In this study,
respondents estimated the cost they incurred in obtaining healthcare services in
both inpatient and outpatient services. The valuation of resource utilization was
done by incorporating the following for inpatient and outpatient services: the
corresponding unit cost for each component of inpatient and outpatient care
services; information on time spent in the facility; the length of stay; number
of absent days from work after discharge. The transportation cost was estimated
based on the self-reported fares paid or estimated or a mileage claim cost
based on the government rate – i.e. (RM 0.50
x kilometres (distance from home)). The indirect costs consisted of respondents’
“lost times” or cost of the time forgone. The indirect costs of individual time
among those who currently employed or reported any sources of income, were
estimated using respondents’ self-reported wages. For the unemployed or reported
not having any sources of income during the time of this study, the national
minimum wage of RM 900 was used to estimate the cost of “lost time”. Based on National Wages Consultative Council
Act (Akta Majlis Perundingan Gaji Malaysia) (2011) effective from
January 2013, the “lost times” was estimated at RM 34.62/day and RM 4.33/hour. The
total economic impacts of healthcare utilisation by older persons at the
community level were calculated as a summation of both total direct and
indirect costs.
In this study, the estimated cost at institutional setting or
providers’ cost was obtained from the same research project as previously explained
elsewhere [26]. The calculation utilized the Clinical Cost Modeling
Software Version 3.0 (CCM Ver. 3.0). The total economic burden of healthcare
utilization by older persons in Malaysia was calculated by summing up the
estimated total cost at community level and institutional settings, aggregated
to the national level. The formula to arrive at the estimation is as follows:
The projected healthcare cost
of older persons was estimated by adjusting it to the average inflation rate
between 2011 and
2016 for the following reasons: (1) the data collection year fell between this
period; (2) Inflation rate during the period was reasonably reflecting the
ordinary years. In addition, the current study utilised a more
conservative estimate of GDP between 2020 and 2040. The
inflation was compounded to reflect new inflation prices from each of the previous
(annual) value [27, 28].
3.
Results
Background of older persons
The average age of the elderly in this study was 69 years old. The
majority of the respondents were of Malay ethnicity (62%) and with a lower
level of education as 58% attended primary schools, whereas 21% had no formal
education. Of the total 2,274 respondents, 68% were currently married and 28%
were widowed with an average of six children per respondent. Only about 10.5% were
living alone and 35% were living with their spouse and children. Table 1 presents the background
characteristics of the study population.
Table 1: Socio-demographic characteristics of older persons
Variable |
n = 2,274 |
||
Age (Mean ± SD) |
69.03 ± 6.229 |
|
|
Age Category |
Young-Old (60-69) |
1,305 (57.4%) |
|
Old - Old (70-79) |
833 (36.6%) |
|
|
Oldest - Old (80 and above) |
136 (6.0%) |
|
|
Ethnicity |
Malay |
1,430 (62.9%) |
|
Chinese |
725 (31.9%) |
|
|
Indian and others |
119 (5.2%) |
|
|
Years of education (Mean ± SD) |
5.15 ± 3.981 |
|
|
Education level |
No formal education |
475 (20.9%) |
|
Primary education |
1,316 (57.9%) |
|
|
Secondary education |
372 (16.4%) |
|
|
Tertiary education |
111 (4.9%) |
|
|
Marital status |
Single |
37 (1.6%) |
|
Married |
1,555 (68.4%) |
|
|
Separated / divorced |
39 (1.7%) |
|
|
Widowed |
643 (28.3%) |
|
|
Number of Children (Mean ± SD) |
5.4 ± 2.9 |
|
|
Number of Household (Mean ± SD) |
3.61 ± 2.243 |
|
|
Living arrangement |
Living alone |
239 (10.5%) |
|
Living with spouse only |
625 (27.5%) |
|
|
Living with children only |
512 (22.5%) |
|
|
Living with spouse and children |
796 (35%) |
|
|
Living with others |
102 (4.5%) |
|
|
Activity status |
Employed full time |
135 (5.9%) |
|
Employed part time |
95 (4.2%) |
|
|
Self employed |
289 (12.7%) |
|
|
Retired |
1,309 (57.6%) |
|
|
Others (not working, housewives etc.) |
446 (19.6%) |
|
|
Individual Income (Mean ± SD) |
RM904.86 ± RM1,785.68 |
|
|
Household Income (Mean ± SD) B40 M40 T20 Hardcore Poor Poor Non-Poor |
RM1,325.71 ± RM2,362.46 2,145 (94.3%) 101 (4.4%) 28 (1.2%) 1,052 (46.3%) 195 (8.6%) 1,027 (45.2%) |
A majority (58%) of the respondents were fully retired. Among those
who continued working after the age of 60 years old, 13% were self-employed and
10% of them were either employed full-time or part-time. The average personal
income of older persons was RM 904.86 per month. Meanwhile, the poverty line
income for Peninsular Malaysia in 2014 was RM 950 per household per month6.
The hardcore poor consisted of those with a monthly household income of RM 600
and below. As for the income category,
the lower-income group or bottom 40% of the income percentile (B40) consisted
of households with income RM 3,860. Therefore, these cut-off points were used
to group the poor and hardcore poor segments. Middle-income households (M20)
consisted of households with a monthly income between RM 3,860 and RM 8,319,
whereas households with monthly income above RM 8,319 were considered as the high-income
segment. Almost half (46.3%) of the respondents
belong to the hardcore poor category and 45.2% were from non-poor households.
However, the non-poor households mostly under the low-income group.
Overall,
older persons in this study were healthy. A similar proportion of the
respondents claimed to be healthy most of the time (47%) and some of the time (43%).
Other than self-rated health status, the mental and physical health of the
respondent was examined as shown in Table 2.
Table 2: Physical, mental health
status and diseases diagnosed for older persons
Variable |
n=2,274 |
|
n |
% |
|
Activity Daily Living
(ADL) |
|
|
No Functional Impairment |
1,952 |
85.8 |
Moderate Functional Impairment |
3 |
0.1 |
Severe Functional
Impairment |
319 |
14.0 |
Cognitive Health Status
(MMSE Score)* |
|
|
Normal |
552 |
24.3 |
Mild Cognitive Impairment
(MCI) |
1,318 |
58 |
Mild Dementia |
247 |
10.9 |
Moderate Dementia |
124 |
5.5 |
Severe Dementia |
33 |
1.5 |
Geriatric Depression Scale (GDS) |
|
|
Normal |
2,194 |
98.1 |
Mild Depressive |
43 |
1.9 |
Severe Depressive |
0 |
0.0 |
Number of Diseases Diagnosed |
|
|
No diagnosed disease |
727 |
32.0 |
1 diagnosed diseases |
570 |
25.1 |
2 to 4 diagnosed diseases |
928 |
40.8 |
5 and more diseases Lifesytle-related Disease |
49 |
2.2 |
Hypertension Diabetes Mellitus Hypercholesterolemia Heart Disease Kidney Failure Disability-related Disease Cancer Stroke Serious vision or hearing
impairment. Asthma Cataract / Glaucoma Tuberculosis Osteoarthritis / Osteoporosis Thyroid Other diseases |
1042 540 587 199 31
26 28 110 115 144 7 240 32 109 |
45.8 23.7 25.8 8.8 1.4
1.1 1.2 4.8 5.1 6.3 0.3 10.6 1.4 4.8 |
|
|
|
*Shahar
et al. (2015) and Clinical Practice Guidelines-Management of Dementia
(MOH,2009)
The activity
of daily living (ADL) score indicated that 85% of respondents were categorized
as fully functional with only 14% having severe functional impairments. Based
on the Mini-Mental State Examination (MMSE) score, 24% were categorised as having
normal cognitive status, while a majority (58%) were categorised as suffering
from mild cognitive impairment (MCI), and 17% were diagnosed with dementia of
different level of severity. Almost all respondents were not at risk of
depression. Regarding physical health, 32% were not diagnosed with any disease,
25% were diagnosed with a single illness, while the majority (43%) of the
respondents have been diagnosed with at least two chronic diseases. As shown in
Table 2, respondents’ diseases were grouped into lifestyle-related (e.g. hypertension,
hypercholesterolemia and diabetes) and disability-related. The disability-related
diseases refer to illnesses or conditions that could hinder one’s functioning and
movement such as stroke-related paralysis, osteoarthritis/osteoporosis,
cataract/glaucoma, gout and serious vision and hearing impairment. Furthermore,
the most common diseases under the “lifestyle” category were hypertension (45.8%),
hypercholesterolemia (25.8%) and diabetes mellitus (23.7%). For the
disability-related diseases, the top two were osteoarthritis/osteoporosis (10.6%)
and cataract/glaucoma (6.3%).
Healthcare utilisation
A total of 1,419
(62.4%) older persons reported having utilised outpatient and/or inpatient care
from various healthcare facilities available in Malaysia. The prevalence of outpatient
care was 60.5% (Table 3). Out of 1,376 respondents who sought outpatient care
services, 36.3% were obtained from government clinics and 16.9% were from
government hospitals. Only a small number of older persons reported seeking
care from private clinics (7.7%) and private hospitals (1.1%). The average number of visits per annum is 5.7
(± 3.4) indicated respondents’ choice of healthcare facilities. Among the
available healthcare facilities, government clinics had the highest number of
average visits per annum (5.82 ± 3.30), followed by private clinics (5.62 ±
3.69), and government hospitals (5.56 ± 3.43). The ratio of the mean number of
visits to government hospitals was 1.12 times higher compared to the private
hospitals. Overall, the total average number of visits of all the respondents was
2.5 times per year. About one-third of older persons seeking outpatient care were
for hypertension management, 20% seek for a combination of diseases, and 15%
for other diseases.
Meanwhile, a total of 128 respondents (5.6%) received in-patient service at
hospitals. The mean number of hospital admission was 1.29 in one year. Government and
private hospitals were the two main facilities chosen for in-patient services. Almost
all (n = 106, 82.8%) respondents were admitted to government hospitals with a
mean length of stay of 8 days. Respondents spent twice as longer time in government
hospitals compared to private hospitals (3.9 days). The majority of older
persons sought inpatient services for other diseases.
Table 3: The annual outpatient and inpatient utilization and cost of care for
older persons
Facility |
n (%)
|
Direct Cost (RM) |
Indirect Cost (RM) |
Total Cost (RM) |
Average Number of Visit/Admission Mean ± SD |
Average Length of Stay (day) Mean ± SD |
Mean ± SD |
Mean ± SD |
Mean ± SD |
||||
Outpatient Government clinics |
825 (36.3%) |
44.0 ± 112.85 |
28.6 ± 42.15 |
72.6 ± 127.87 |
5.82 ± 3.30 |
- |
Government hospitals |
384 (16.9%) |
255.3 ± 2,600.53 |
45.2 ± 155.70 |
300.5 ± 2,606.83 |
5.56 ± 3.43 |
- |
Private clinics |
175 (7.7%) |
234.0 ± 411.20 |
27.1 ± 49.10 |
261.10 ± 425.76 |
5.62 ± 3.69 |
- |
Private hospitals |
25 (1.1%) |
1,114.3 ± 2,707.43 |
27.5 ± 29.01 |
1,141.8 ± 2,706.65 |
4.96 ± 3.56 |
- |
Traditional medicine
healers |
11 (0.5%) |
208.8 ± 212.28 |
15.8 ± 23.51 |
224.6 ± 222.51 |
5.09 ± 3.73 |
- |
Alternative healthcare
providers |
3 (0.1%) |
141.6 ± 92.49 |
20.0 ± 15.45 |
161.6 ± 106.78 |
5.33 ± 4.16 |
- |
Others |
35 (1.5%) |
269.8 ± 327.94 |
22.3 ± 28.91 |
292.1 ± 331.40 |
7.83 ± 4.18 |
- |
Total Outpatient |
1,376 (60.5%) |
141.2 ± 1,433.47 |
31.4 ± 89.41 |
172.7 ± 1,437.93 |
5.7 ± 3.40 |
|
Inpatient Government hospitals |
106 (4.7%) |
404.4 ± 3,031.80 |
546.9 ± 1,593.21 |
951.2 ± 3,451.49 |
1.36 ± 0.90 |
9.97 ± 14.43 |
Private hospitals |
22 (1.0) |
12,755.5 ±
21,754.81 |
414.3 ± 564.61 |
13,169.8 ±
22,053.17 |
1.23 ± 0.53 |
4.59 ± 4.81 |
Total Inpatient |
128 (5.6%) |
2,527.2 ±
10,379.84 |
524.1 ± 1,467.59 |
3,051.3 ± 10,568.10 |
1.3 ± 0.80 |
9.05 ± 13.42 |
The cost
of healthcare
As shown in Table 3, the total direct and indirect cost for
outpatient care was RM 141.2 and RM 31.4. The total direct cost at private
hospitals was the highest at RM 1,114.30 which was 4.5 times higher than that
of government hospitals. The direct cost of outpatient care at private clinics was
RM 234 and similar to the direct cost at government hospitals (RM 255), but
more expensive (5.3 times) compared to government clinics. The total cost of
outpatient care at government clinics was estimated at RM 72.6 per adult per
annum, whereas the total cost at government hospitals was RM 300. Furthermore, the
price ratio between seeking treatment at private clinics and hospitals were RM
261 and RM 1,141 which was 3.6 and 3.8 times higher than government clinics and
government hospitals, respectively. Interestingly, charges for outpatient
services offered by alternative medicine providers/healer were at least about
twice as much expensive as government clinics. The total cost (± SD) for
outpatient care (per older person annually) was RM 172.7 ± 1,437.93.
For inpatient care, the average
total cost for private hospitals was RM 13,169 which was 13.85 times more
expensive than government hospitals (Table 3). The major reasons for the high
costs included direct costs from medicine charges and physician consultation
estimated at RM 12,755.5 In addition, the estimated cost was 31.54 times more
expensive in private hospitals than the government counterpart. In this study,
the total cost for inpatient care (per older adult annually) was RM 3,051.3 ±
10,568.10. Although the majority of respondents reported having utilised healthcare
services, the cost of health care was driven up by the cost of ward admission
in the facilities. Overall, regardless of the type of
facilities and care, the total cost of healthcare utilization is RM 442.7 per
older person per annum.
Economic burden of healthcare utilisation by older persons
Table 4 provides information on relevant administrative data and total
economic cost at institutional setting (i.e. providers’ costs). The data were
combined with the total economic cost at the community data presented for the
healthcare cost. The aggregated economic cost of healthcare utilisation was
calculated using the formula described in Equation 1. Accordingly, the total
economic burden of healthcare utilisation by older persons in Malaysia in 2014 was
estimated at RM
3,807,481,491. This value represented 0.34% of the total GDP for that year. According to the Malaysia National
Health Accounts report, the total health spending was 4.23% of GDP in 2014[21].
Therefore, the estimated value of treating older persons constituted 8% of the
total health expenditure. In line with Malaysia’s move to become an aged
nation, the total percentage of health spending will continue to show an
increasing trend.
Table
4:
Sources of relevant information
No. |
Description |
Value |
Source |
1. |
Total Malaysian population in 2014* |
30,708,500 |
DOSM |
2. |
Total older person population in 2014 (≥60 years
old)* |
2,696,300 |
DOSM |
3. |
Total GDP, Nominal (RM million) (in 2014)* |
RM1,106,443 mil |
DOSM |
4. |
The estimated average cost per unit care utilized by
older person per visit [for outpatient service] |
RM181.00 |
Providers cost# [given data] |
5. |
The estimated average cost per unit care utilized by
older person per day of stay [for inpatient service]. |
RM778.00 |
Provider cost# [given data] |
6. |
The estimated average cost of care utilized by older
person [for outpatient service] |
RM172.70 |
Community cost [current study] |
7. |
The estimated average cost of care utilized by older
person [for inpatient service] |
RM3,051.30 |
Community cost [current study] |
*Department
of Statistics Malaysia (DOSM)
# Amrizal et al. (2017)
Given population ageing, the current study extended the estimation
on healthcare utilisation and the economic burden of healthcare utilisation by
older persons for 2020, 2025, 2030, 2035 and 2040. Based on the population
projection provided by DOSM, it is estimated that the population of older
persons (aged 60 and above) will steadily increase from 8.78% in 2014 to 15.29%
in 2030 and 19.83% in 2040[6], (see Figure 1). Hence, Malaysia will
become an aged nation by 2030 when 15% of its population comprise older persons
aged 60 and above. Consequently, the economic burden of the older population on
healthcare systems was observed within the aforementioned periods. It is projected
that the cost of healthcare utilisation by older persons will increase by
four-fold to RM 12 billion or around 0.76% of the total GDP in 2030 from RM 3.8
billion (0.34% of GDP) in 2014. By 2040, when Malaysia is already super-aged,
it is projected that the total cost of healthcare utilisation by older persons
will reach a staggering RM 21 billion or constituting around 1.08% of the total
GDP.
FIGURE 1: Projection of total
healthcare cost and the burden heathcare cost of Malaysia GDP by older persons
2020 – 2040
4.
Discussion
Profile of older persons. The current cohort of older persons was mostly born before Malaysia’s
Independence in 1957 when educational opportunities were still limited and
considered a luxury to most people. This might explain the low educational
level among older persons participated in this study. Consequently, it affects
their economic opportunity to secure employment with high pay. This was also
reflected by the economic status of the respondents as most of them belong to
the low-income groups (i.e. below 40% income percentile). In terms of health
status, almost half of the respondents claimed to be healthy most of the time.
For older persons, self-rated health status is equally important as the actual
state of their health due to the influence on decision-making to be actively
involved in the community, or otherwise. This is in line with the functionality
test score (IADL) which indicated that a high percentage of the respondents was
categorised as being physically fully functional. However, the MMSE score
indicated that almost 60% of these older people had mild cognitive impairment
(MCI). Older persons in the MCI category were considered to be between normal
ageing and dementia, as well as at a higher risk of developing dementia. If
there is no early intervention, at worst, the cognitive disorder will affect
older persons’ quality of life and may require long-term care. Hence, mentally
impaired older persons are at higher risk of depending on a caregiver which
would contribute to the rising healthcare costs [29]. Such
caregiving function may be performed by family (informal) or non-family
(formal) members. As most of the older persons live together with their spouses
and children, family members may serve as caregivers to older people. However,
several studies have reinstated the potential negative effects of informal
caregiving such as a loss of productivity, compromised quality of life and poor
health status [30, 31, 32]. The burden of informal caregivers is
more costly than the direct costs as evidenced by the positive relationship
between the time spent caring for an older adult and the incurred cost [33,
34]. Consequently, more efforts must be invested in preparing future
caregivers with knowledge to ensure the wellbeing of both older person and
caregivers.
Health care services utilisation. The average annual
number of visits to outpatient healthcare facilities was 5.7 times, or around
once every two months. As the majority of older persons in this study claimed
to be healthy, outpatient services were mostly sought from clinics and the main
reasons were either for routine check-ups or treating minor illnesses. This was
reflected in the overall physical health of the respondents as 40.8% of them suffered
from multiple NCDs such as hypertension, hypercholesterolemia, diabetes
mellitus, osteoarthritis, and heart disease. These conditions might contribute
to their frequent visits to clinics. For the inpatient care utilisation, apart
from NCDs, the other two main causes of hospitalisation were road accidents and
falls. Consequently, the respondents simultaneously suffered from body injuries
and various chronic diseases, culminating in long stays at hospitals (i.e. as
long as nine days). This is in line with a study which report higher
utilisation of healthcare facilities among older persons compared to the
younger population [35]. Inevitably, older people are more
susceptible to illnesses, thus have no choice but to spend more money on
healthcare services for treatment purposes.
Findings indicated that older people flocked to government
facilities to seek either inpatient or outpatient services. Possible explanations for such behaviours are
as follows: First, Malaysia's public healthcare system is heavily subsidised by
the government. It is almost practically free and accessible to all citizens. Older
persons could easily receive treatment from outpatient service by only paying
RM 1 (USD 0.25). Second, most of the aged population come from low-income
households (i.e. B40); thus, government facilities offer a comparative
advantage and are easily affordable. Third, government clinics and hospitals
are available in both urban and rural areas in contrast to private hospitals
that are mostly available in urban areas. This makes government healthcare
services and access more convenient to older adults. Nevertheless, government
healthcare services are not without limitations. For instance, older persons are
expected to wait longer to be attended to in public compared to private facilities.
This might not be a serious issue in older persons that are generally healthy. However,
a long waiting time is an issue for older adults with severe health conditions.
They would not have to spend five to seven hours to get treatment and consultation
at government healthcare facilities if they could afford the treatment from
private facilities [36].
The cost of healthcare utilisation. The cost of
healthcare utilisation consists of direct cost and indirect cost. In this
study, non-prescribed supplements and meals for both patients and caregivers
constituted a significant part of the total cost of healthcare utilisation,
whereas the indirect cost included only the opportunity cost of the time
forgone by the respondents during treatment. These findings are consistent with
previous studies which concluded that direct non-medical cost contributed
almost 50% of the total direct cost [37,38]. The studies also
highlighted the significant impact of illness on direct non-medical cost and
indirect cost [37, 38]. As direct non-medical cost is one of the OOP
cost components, it will remain high despite low medical charges in Malaysian government
facilities. It was reported that non-medical cost led to consistent high OOP costs
among older persons irrespective of insurance coverage [39]. Additionally,
when OOP payments are unavoidable, households with the elderly, handicapped, or
chronically ill members are generally more likely to be trapped with
catastrophic health expenditure (CHE) than other households [40, 41, 42].
Around 2% of older persons
in Malaysia were found to have incurred CHE at a 10% threshold43.
Meanwhile, the incidence of CHE by cognitive status among older persons with
mild cognitive impairment (MCI) was 2.4% at a 10% threshold – the highest among
other cognitive status43. Accordingly, the prevalence of MCI was
estimated at 58%, which was the highest considering the cognitive status of
older persons. MCI is the condition between normal cognitive status and
dementia. Persons with MCI are at higher risk of developing dementia or its
subtypes if early treatment is not provided, thus resulting in higher costs.
Based on the reports from Malaysia’s Ministry of Health, private
household OOP spending constitutes 38% share of total health expenditure (THE)
and remains the second-highest source of THE financing after the public funds from
the nation’s Health Ministry. The OOP in Malaysia also shows an increasing
trend from 30% in 2010 to 38% in 2017. However, the international comparison of
the OOP health financing scheme ranked Malaysia fifth after Bangladesh, India, the
Philippines and Sri Lanka in 2016, but Malaysia ranked higher than Thailand
(12%) and Singapore (31%). The OOP health financing scheme is based on the
percentage of current health expenditure [21].
The heavily subsidised health care system in Malaysia has provided
its citizens an access to quality healthcare services at an affordable rate. As
such, a bulk of the healthcare utilisation cost among older persons was due to
costs other than direct medical costs such as medical and pharmaceutical
charges. Thus, the Ministry of Health had the biggest share of and listed as
the financing source. The projected cost of healthcare utilisation shows an
increasing trend, which insinuates the government's economic burden in treating
older persons [44]. Therefore, there is a concern regarding the
sustainability of the system, especially with the projected ageing Malaysian
population. Policymakers must come up with strategies and policies to lessen
the economic burden of healthcare utilisation by older people. This includes early
interventions across the lifespan to ensure a significant reduction in the
prevalence of NCDs. Simultaneously, the public must be adequately educated on
health and self-care to promote healthy ageing, prolonged active participation,
and productive contributions to society [45]. In summary, the cost
of not being healthy in old age is burdensome making an early intervention of utmost
importance.
Conclusion. Longevity is not automatically accompanied by
good health. In Malaysia's case, the prevalence of NCD is increasing and exacerbated
by an increasing number of older population suffering from multiple NCDs. Consequently,
there is an excess demand for healthcare services and pressure on the available
facilities. This is important since older people prefer to be treated at affordable
centres as obtainable in Malaysia’s government healthcare systems that are heavily
subsidised. Even though the government is obliged to ensure easy access to
quality care at an affordable price, population ageing puts an extra burden on
the system and lessens sustainability. The government had contemplated to move
from tax-finance system to National Health Insurance (NIH). However, the health
reform has not been implemented. Therefore, it is high time for the Malaysian
government to seriously strategise and make changes in health insurance schemes
to alleviate financial burden on the nation’s health care system. Lifespan
perspective of preventive health through education and other intervention must
be intensified to ensure that future elderly will live longer and healthier.
Ageing in good health will not only reduce healthcare cost and spending, but it
will also address stereotyping of age whereby older persons often being depicted
as frail, dependent and a burden to society.
Ethics Statement
The
studies involving human subjects were reviewed and approved by Medical Research Ethics
Committee of the Faculty of Medicine and Health Science, Universiti Kebangsaan
Malaysia (UKM) (Ref:
UKM 1.5.3.5/244/NN-060-2013) and also approved by the Medical Research and Ethics Committee,
Ministry of Health on 16th December 2013 with the registration
number, NMRR-13-1023-14660. The
participants provided their written informed consent to participate in this
study.
Conflict
of Interest
All
authors have declared that they had no conflict of interest.
Funding
This
study was funded through “Long Term Research Grant Scheme” (LRGS), Ministry of
Education Malaysia under research program entitled TUA-Neuroprotective Model
for Health Longevity Among Malaysian Elderly (Project No. LRGS/BU/2012/UKM-UKM/K01).
1. World Health
Organization (WHO). Regional Office for the Western Pacific. . 2012. Malaysia health
system review. Manila: WHO Regional Office for the Western Pacific. WHO ; https://apps.who.int/iris/handle/10665/206911 (accessed 17 Nov 2020).
2. World Health
Organization (WHO). Malaysia public health data at glance. Country Fact Sheet.
WHO 2020; https://www.who.int/docs/default-source/wpro---documents/countries/malaysia/fact-sheet-malaysia/who-my-factsheet-fa-09042020.pdf?sfvrn=db2f8b32_2 (accessed 17 Nov 2020).
3. Omar, M. H., Asmuni, N. H., Shima, S. N. Healthy
life expectancy vs health expenditure by sullivan method in Malaysia. Indonesian
Journal of Electrical Engineering and Computer Science;2019, Vol. 14,
No. 1 402-6.
4. Department of
Statistics Malaysia (DOSM). 2020. Abridged life table, Malaysia, 2018-2020. ;https://www.dosm.gov.my/v1/index.php?r=column/cthemeByCat&cat=116bul_id=R0VPdE1mNEdRQms2S0M4M1ZsSlVEdz09&menu_id=L0pheU43NWJwRWVSZklWdzQ4TlhUUT09 (accessed 17 Nov 2020).
5.
Department of
Statistics Malaysia (DOSM). Current Population Estimates. Malaysia, DOSM 2020;https://www.dosm.gov.my/v1/index.php?r=column/pdfPrev&id=OVByWjg5YkQ3MWFZRTN5bDJiaEVhZz09 (accessed 17 Nov 2020).
6.
Department of Statistics
Malaysia (DOSM). (2016). Population Projection (Revised), Malaysia, 2010-2040.
DOSM 2016; https://www.dosm.gov.my/v1/index.php?r=column/pdfPrev&id=Y3kwU2tSNVFDOWp1YmtZYnhUeVBEdz09 (accessed 17 Nov 2020).
7. Rau, R., Soroko, E.,
Jasilionis, D., & Vaupel, J. W. Continued reductions in mortality at
advanced ages. Population and Development Review 2008;
34(4):747-68.
8. Barthold, D., Nandi, A., Rodríguez, J. M. M.
& Heymann, J. Analyzing whether countries are equally efficient at
improving longevity for men and women. American Journal of Public Health
November 2014; Vol. 104(11):2163-9.
9. Palloni, A. Living
arrangements of older persons. Center for Demography and Ecology, University of
Madison-Wisconsin 2000.
10. Samsudin, S., Abdullah, N., and Applanaidu, S.
D. The prevalence of diabetes mellitus and hypertension and its effects on
healthcare demand among elderly in Malaysia. International Journal of Public
Health Research 2016; Vol 6(2):741-9.
11. Institute for Public Health (IPH). National
Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable
Diseases: Risk factors and other health problems. National Institutes of Health,
Ministry of Health Malaysia 2020.
12. Institute for Public Health (IPH). National
Health and Morbidity Survey (NHMS) 2018: Elderly health. Vol. II: Elderly
health findings, 2018. National Institutes of Health, Ministry of Health
Malaysia 2019.
13. Xu, W. L., Qiu, C. X.,
Wahlin, Å., Winblad, B., & Fratiglioni, L. Diabetes mellitus and risk of
dementia in the Kungsholmen project a 6-year follow-up study. Neurology 2004;
63(7):1181-6.
14. Strachan, M. W., Reynolds, R. M., Marioni, R.
E., & Price, J. F. Cognitive function, dementia and type 2 diabetes
mellitus in the elderly. Nature Reviews Endocrinology 2011; 7(2):108-14.
15. Sharp, S. I., Aarsland,
D., Day, S., Sønnesyn, H., & Ballard, C. Hypertension is a potential risk
factor for vascular dementia: Systematic review. International Journal of Geriatric Psychiatry 2011; 26(7):661-9.
16. Fan, Y., Zhang, C., & Bu, J. Relationship
between selected serum metallic elements and obesity in children and adolescent
in the US. Nutrients 2017; 9(2):104.
17. Yu, C. P., Whynes, D. K., & Sach, T. H.
Equity in health care financing: The case of Malaysia. International Journal
for Equity in Health 2008; 7(1):1-14.
18. Van Doorslaer, E.,
O’Donnell, O., Rannan‐Eliya, R.P., Somanathan, A., Adhikari, S.R., Garg, C.C.,
Harbianto, D., Herrin, A.N., Huq, M.N., Ibragimova, S. and Karan, A.
Catastrophic payments for health care in Asia. Health Economics 2007;
16(11):1159-84.
19. Flores, G., &
O'Donnell, O. Catastrophic medical expenditure risk. The Lancet 2013; 381:
S49.
20. Safurah J, Kamaliah MN,
Khairiyah AM, Nour Hanah O, Healy J, Kalsom M, Zakiah MS. Malaysia health
system review. Health Systems in Transition 2013; 3(1):44.
21. Ministry of Health (MOH). Malaysia national
health accounts health expenditure report 1997-2017. Malaysia National Health
Accounts Section, Putrajaya, Malaysia 2019.
22. Prince, M. J., Wu, F., Guo, Y, Robledo, L. M.
G., O’Donnell, M, Sullivan, R., Yusuf, S. The burden of disease in older people
and implications for health policy and practice. The Lancet: Ageing
2015; 385(9967):549-62.
23. Ministry of Health (MOH). The impact of
noncommunicable diseases and their risk factors on Malaysia’s Gross Domestic
Product. Putrajaya, Malaysia: Ministry of Health Malaysia 2020.
24. Shahar, S., Omar, A.,
Vanoh, D., Hamid, T. A., Mukari, S. Z. M. S., Din, N. C., ... & Meramat, A.
Approaches in methodology for population-based longitudinal study on
neuroprotective model for healthy longevity (TUA) among Malaysian older adults.
Aging Clinical and Experimental Research 2016;
28(6): 1089-104.
25. Ministry of Health Malaysia (MOH). Clinical
practice guidelines. Management of dementia (2nd Edition). CPG Secretariat, MOH
Putrajaya 2009. Retrieved from www.moh.gov.my/attachments/4485.
26. Amrizal, M. N., Aljunid, S. M., Ismail, N,
Haron, S.A, Shafie, A. A, Mohamed Nor, N, Salleh, M., Koris, R and Maimaiti, N.
Provider costs of treating dementia among the elderly in government hospitals
of Malaysia. Malaysian Journal of Public Health Medicine 2017;
17(2):121-7.
27. Creese, A., &
Parker, D. Cost analysis in primary
health care. A training manual for programme managers. WHO
Publications Center USA, Albany, NY: NY. 1994.
28. Drummond, M. F.,
Sculpher, M. J., Torrance, G. W., O'Brien, B. J. & Stoddart, G. L. Methods
for the economic evaluation of health care programmes third edition. Oxford
University Press. United Kingdom. 2005.
29. Salthouse, T.A. “What and when of cognitive
aging”. Current Directions In Psychological Science 2004; 13(4): 140-4.
30. Kotseva, K., Gerlier, L., Sidelnikov, E.,
Kutikova, L., Lamotte, M., Amarenco, P., & Annemans, L. . Patient and
caregiver productivity loss and indirect costs associated with cardiovascular
events in Europe. European Journal of Preventive Cardiology 2019;
26(11): 1150-7.
31. Metzelthin SF, Verbakel E, Veenstra MY, van
Exel J, Ambergen AW, Kempen GIJM. Positive and negative outcomes of informal
caregiving at home and in institutionalised long-term care: A cross-sectional
study. BMC Geriatrics 2017; 17: 232. https://doi.org/https://doi.org/10.1186/s12877-017-0620-3.
32. Bevans M.F, & Sternberg, E.M Caregiving
burden, stress, and health effects among family caregivers of adult cancer
patients. JAMA 2012; 307: 398–403. https://doi.org/https://doi.org/10.1001/jama.2012.29.
33. Maresova, P., Lee, S., Fadeyi, O. O., &
Kuca, K. The social and economic burden on family caregivers for older adults
in the Czech Republic. BMC Geriatrics 2020; 20: 1-12.
34. Ganapathy, V., Graham, G. D., DiBonaventura, M.
D., Gillard, P. J., Goren, A., & Zorowitz, R. D. Caregiver burden,
productivity loss, and indirect costs associated with caring for patients with
poststroke spasticity. Clinical Interventions in Aging 2015; 10: 1793.
35. Cutler, D. M. Declining
disability among the elderly. Health Affairs 2001; 20(6): 11-27.
36. Lau, B. Can elderly
Malaysians afford to retire with the increasing costs of healthcare? MIMS Today
2016, September 28. [WWW document] Retrieved from https://today.mims.com/can-elderly-malaysians-afford-to-retire-with-the-increasing-costs-of-healthcare.
37. Kieu, T. T. M., Trinh, H. N., Pham, H. T. K.,
Nguyen, T. B., & Ng, J. Y. S. Direct non-medical and indirect costs of
diabetes and its associated complications in Vietnam: An estimation using
national health insurance claims from a cross-sectional survey. BMJ
Open 2020; 10(3): e032303.
38. Ibrahim, N., Pozo-Martin, F. & Gilbert, C.
Direct non-medical costs double the total direct costs to patients undergoing
cataract surgery in Zamfara state, Northern Nigeria: A case series. BMC
Health Serv Res 2015; 15: 163. https://doi.org/10.1186/s12913-015-0831-2.
39. Ma, C., Jiang, Y., Li, Y.,
Zhang, Y., Wang, X., Ma, S., & Wang, Y. Medical expenditure for middle-aged
and elderly in Beijing. BMC Health Services Research 2019; 19(1):
360.
40. Xu, K. and World Health
Organization. Distribution of health
payments and catastrophic expenditures: methodology. World Health Organization
(WHO), Geneva. 2005.
41. Wagstaff, A., &
Doorslaer, E. V. Catastrophe and impoverishment in paying for health care: With
applications to Vietnam 1993–1998. Health
Economics 2003; 12(11): 921-33.
42. Somkotra, T., &
Lagrada, L. P. Which Households Are at Risk of Catastrophic Health Spending:
Experience in Thailand After Universal Coverage. Health Affairs 2009; 28(3):
w467-w78.
43. Koris, R., Nor, N. M., Haron, S. A., Ismail, N.,
Aljunid, S. M., M. Nur, A, … & Maimaiti, N. Socio-demographic, cognitive
status and comorbidity determinants of catastrophic health expenditure among
elderly in Malaysia. International Journal of Economics and Management 2017;
11: 673–90.
44. Thomas, S., Beh, L., & Nordin, R. Bin.
Health care delivery in Malaysia: Changes, challenges and champions. Journal
of Public Health in Africa 2011; 2(2): e23. https://doi.org/10.4081/jphia.2011.e23.
45. Hahn, E. A., Cichy, K. E., Almeida, D. M.,
& Haley, W. E. (). Time use and well-being in older widows: Adaptation and
resilience. Journal of Women and Aging 2011; 23: 149–59. https://doi.org/10.1080/08952841.2011.561139.