Volume 75, No.1: 2023 Siriraj Medical Journal
https://he02.tci-thaijo.org/index.php/sirirajmedj/index
21
Original Article
SMJ
of a disease but the process which enables older people to
continue to do the things that are important to them”.
2
Data provided by the United Nations has shown that
more than 46% of the global elderly population (≥60
years of age) live with disabilities.
3
Disabilities are the
negative aspects of the interaction between the individual
and the environment, i.e., decits, limitations in the
activity and restrictions in his/her social participation.
4
us, maintenance of functional capacity becomes an
important indicator of health status in the elderly.
5
Activities of daily living (ADL) are considered as those
activities that are essential for an independent life while
instrumental activities of daily living (IADL) are more
complex tasks that involve decision making and greater
interaction with the environment.
6
Studies conducted
previously across dierent countries have assessed the
functional capacity of the elderly and have demonstrated
varying prevalence of limitations in activities of daily living
(ADL) ranging from 17.3% to 34.6% while limitations
in instrumental activities of daily living (IADL) ranged
from 35.75% to 59.3%.
7-10
Although laudable eorts have
been made by the researchers for assessing the functional
status, the issue of social and healthcare needs of the
elderly required for healthy ageing has been largely
overlooked. erefore, a comprehensive understanding
of the requirements of our elderly population is needed
to preserve their functional capacity and promote healthy
aging so that they can continue to make their positive
contributions towards the society. With this backdrop,
this mixed method study was undertaken to assess the
functional status of the elderly residing in an urban slum
in West Bengal and to explore their unmet needs from
the health system for rehabilitation
MATERIALS AND METHODS
is cross-sectional study with convergent parallel
mixed method design (QUAN+QUAL) was conducted
from November 2021 to June 2022 among the elderly
persons (age≥60 years) attending the non-communicable
disease (NCD) clinic at Urban Health Unit and Training
Centre, Chetla, Kolkata, West Bengal. Participants who
did not give written informed consent were excluded
from the study.
Sampling
For the quantitative strand of the study, considering
the prevalence of ADL disability and IADL disability
among the study population to be 53.6%
11
and 48%
9
respectively and relative error of 20% with a condence
level of 95%, the sample size was calculated separately
using the standard Cochran’s formula.
12
It came to be
84 and 105 respectively. Taking into account the larger
value, that is 105, the nal sample size was estimated by
adding a design eect of 1.5 and 10% non-response rate
allowance which came to be 172.
Data collection was performed on 1 day per week.
So, for estimated sample size of 172, it took approximately
12 weeks for data collection. Study participants were
selected by systematic random sampling technique
for the quantitative strand. Approximately 30 elderly
persons attended the NCD clinic per day. Study piloting
revealed that only 15 patients could be interviewed per
day. erefore, taking sampling interval of 30/15= 2, every
2
nd
patient attending the NCD clinic was interviewed.
Separate days were taken to conduct Focus group
discussions (FGDs) for collecting data for the qualitative
strand of our study. Data was collected till the point of
data saturation which was reached aer conduction of
2 FGDs. Each FGD constituted 6 members who were
recruited purposively from the patients visiting the NCD
clinic.
Study Tools and Parameters Used
Medical records were checked and face-to-face
interview technique was performed using pre-tested,
pre-designed structured questionnaire to collect data
for the quantitative strand of our study. Pretesting was
done on 15 elderly patients diagnosed with NCDs in a
dierent setting who were not included in the study.
Reliability of the scales used within the questionnaire
was checked with Cronbach’s alpha along with inter-item
correlation. Face & construct validity of the scales used
was checked by public health experts. e questionnaire
consisted of the following domains:
(a) Independent variables
i. Socio-demographic variables: age, religion, caste, gender,
marital status, living arrangement, education, employment
status, nancial status, socioeconomic status, availability
of medical insurance
ii. Physical health status: body mass index (BMI), pain
on visual analog scale (VAS), number of chronic diseases
(from medical records), number of daily medicine intake
(from medical records)
iii. Environmental characteristics: presence of assistive
technology (handrails, grab bars, hearing aid, glasses, walker
wheelchair etc.), home modications (widened doors,
lowered cabinets) and material adjustments (removing
throw rugs, rearranging furniture etc.)
iv. Multidimensional scale of perceived social support
(MSPSS): It was assessed via a 12-item tool for measuring
perceptions of support from 3 sources: family, friends,