Introduction
Fall incidents among older adults have a negative impact on their personal lives and the economy as well. It burdens the health care sector as well because of the treatment cost. A past history of a fall is a significant predictor of future fall risk [
1‐
3]. Hence, it is essential to find solutions to prevent fall incidents, and fall-related injuries and fractures. As falls contribute to increased mortality, reduction of quality of life, increased hospitalization, and medical costs, this has led to the development of prevention strategies [
4‐
6]. Multifactorial prevention measures have been identified and implemented in various countries. Many interventional studies have been conducted in the past that show prescribing multiple medications is likely to increase the risk of falls. Several drugs can increase the risk of falls and are termed fall-risk-increasing drugs (FRIDs) which include antihypertensives, antihistamines, sedatives-hypnotics, antipsychotics, antidepressants, opioids, and non-steroidal anti-inflammatory drugs [
6‐
8]. Around one-third of older adults experience at least one fall incident every year while 10% of them experience multiple falls [
1]. An earlier study found that amlodipine, a FRID increases the risk of falls among older adults compared to chlorthalidone (HR: 2.24;
p = 0.03) or lisinopril (HR: 2.61;
p = 0.04) [
6]. Polypharmacy and FRIDs were the most common cause of falls reported by many studies [
6‐
8], 74.19% (
n = 230) of older adults were prescribed polypharmacy (Mean: 5.18 ± 0.64), and 22.85% (
n = 69) received four types of medications, majorly cardiovascular medications, that might have increased the risk falls in their population [
6].
Deprescribing FRIDs may benefit in preventing falls among older adults [
7,
8]. Besides deprescribing FRIDs and assessment of knowledge, attitude, and perception (KAP), an educational intervention was found to help reduce fall incidents among older adults [
9‐
11]. Optimistic fall outcomes such as reducing the risk of falls can be achieved by the utilisation of multiple intervention strategies [
7]. These strategies include medication reviews, home safety checklists, fall brochures, and many more [
12]. Educational materials are useful as they provide information and tips on ways to avoid falls. Any health programme’s outcome will be more effective if older adults take a more active role in fall prevention strategies.
Compared to other developed countries such as North America and Europe, fall prevention strategies and programmes in Southeast Asia are still in their infancy, as the aging population in these countries is expected to surpass in the future [
13‐
15].. The majority of studies conducted to date in Malaysia only assess the prevalence of falls as well as identify the risk factors that contribute to falls [
16‐
18]. Furthermore, these studies did not include older adult patients at primary care clinics; instead, they focused on older adults in hospital or community settings. Nonetheless, a pharmacist-led fall intervention study is scarce in the country. A multidisciplinary approach including educational intervention by pharmacists has proven to be effective in controlling chronic medical conditions and better health outcomes among the patient population. Pharmacists doesn’t only dispenses medications, but they do play a vital role in the health care sector to improve the health of the patient population. Educational intervention by pharmacists is essential, especially for older adults with fall risk to be aware of their medical condition and medications [
19‐
21]. Hence, health care policies governing fall prevention measures in primary care settings have yet to be developed. To fulfill the future demands arising from the increasingly aging population, changes in the current health policies are required. Thus, this will be the first study of its kind conducted in Malaysia as well as in Asia assessing the KAP of falls among older adults in primary healthcare, reviewing FRIDs and offering FRIDs intervention, and providing a pharmacist-led educational intervention to improve the outcome.
Results
Respondent’s demographic characteristics
In the present study, the majority of the respondents are females (
n = 169; 54.52%), followed by males (
n = 141; 45.48%). A majority of the respondents fall between the age group of 65 and 69 (
n = 171; 55.15%), followed by 70 to 74 years (
n = 104; 33.57%), and the mean age was 69.72 (SD: 2.85) years and about 74% of the participants obtained primary-level education. Less than half of the respondents (
n = 120; 38.71%) experienced falls after the age of 65 years, and 63 respondents (20.32%) experienced one or more incidents of falls within the last 12-month period. The demographic details are presented in Table
1.
Table 1
Demographic data and characteristics of the respondents (n = 310)
Sex | |
Female | 169 (55) |
Male | 141 (45) |
Age (years) | |
65–69 | 171 (55.15) |
70–74 | 104 (33.57) |
75–79 | 29 (9.35) |
80–84 | 6 (1.93) |
≥ 85 | 0 |
Ethnicity | |
Malay | 308 (99) |
Indian | 2 (1) |
Educational Status | |
No formal education | 12 (4) |
Primary education | 229 (74) |
Secondary Education | 69 (22) |
Marital Status | |
Married | 217 (70) |
Widowed | 94 (30) |
Do you satisfy with the facilities you have to access health care services? | |
Yes | 306 (99) |
No | 4 (1) |
Previous experience of fall incidents among the respondents | |
Yes | 120 (39) |
No | 190 (61) |
Incidents of falls among the respondents within the last 12 months period | |
Yes | 63 (20) |
No | 247 (80) |
Allergies | |
Yes | 296 (95) |
No | 14 (5) |
Respondent’s comorbidities and fall -risk- increasing drugs (FRIDs)
A majority of the respondents in this study were diagnosed with multiple comorbidities (
n = 295; 95.16%). Most of them (
n = 139; 44.84%) were diagnosed with three types of diseases which were type 2 diabetes mellitus (T2DM), hypertension (HTN), and dyslipidaemia. Twenty of them (6.45%) had been diagnosed with four types of diseases, and 15 respondents (4.84%) were only diagnosed with a single medical condition which is either HTN, dyslipidaemia, chronic obstructive pulmonary disease (COPD), or myocardial infarction (MI). The details are presented in Supplementary Table
2.
A total of 32 types of FRIDs has been prescribed to the respondents. A majority of the FRIDs belong to the class of cardiovascular medications (
n = 23; 71.88%), followed by endocrine (
n = 5; 15.62%), and central nervous system (CNS) (
n = 4; 12.50%). The majority of the respondents (
n = 259; 83.55%) were prescribed simvastatin, amlodipine (
n = 232; 74.84%), perindopril (
n = 163; 52.58%), and metformin (
n = 171; 55.16%). The details are presented in Supplementary Table
3.
.
Table 2
Respondent’s knowledge level on fall (n = 310)
According to your knowledge, which of the following are risk factors for falls among people in your age? | | | | | |
Biological factors such as age, gender, visual impairment, chronic diseases | 241 (77.74) | 69 (22.26) | 296 (95.48) | 14 (4.52) | 0.00* |
Unsafe environment | 237 (76.45) | 73 (23.55) | 303 (97.74) | 7 (2.26) | 0.00* |
Behavioural factors such as lack of physical activity, alcoholism | 144 (46.45) | 166 (53.55) | 241 (77.74) | 69 (22.26) | 0.00* |
Socioeconomic factors (low income, difficulties to accessing health facilities) | 74 (23.87) | 236 (76.13) | 134 (43.23) | 176 (56.77) | 0.00* |
Medication/Medicines | 82 (26.45) | 228 (73.55) | 216 (69.68) | 94 (30.32) | 0.00* |
None of the above | 38 (12.26) | 0 (0) | 1 (0.32) | 0 (0) | 0.00* |
Medical conditions that may lead to a person falling include, | | | | | |
Parkinson’s disease | 10 (3.23) | 300 (96.77) | 37 (11.94) | 273 (88.06) | 0.00* |
Hypertension | 236 (76.13) | 74 (23.87) | 263 (84.84) | 47 (15.16) | 0.00* |
Diabetes | 81 (26.13) | 229 (73.87) | 116 (37.42) | 194 (62.58) | 0.00* |
Bone disorders | 63 (20.32) | 247 (79.68) | 100 (32.26) | 210 (67.74) | 0.00* |
None of the above | 55 (17.74) | 0 (0) | 25 (8.06) | 0 (0) | 0.00* |
A fall may result in, | | | | | |
Reduced mobility | 280 (90.32) | 30 (9.68) | 293 (96.52) | 17 (5.48) | 0.00* |
Restriction of activities | 281 (90.65) | 29 (9.35) | 288 (92.90) | 22 (7.10) | 0.01* |
Social isolation | 139 (44.84) | 171 (55.16) | 138 (44.52) | 172 (55.48) | 0.32 |
None of the above | 24 (7.74) | 0 (0) | 13 (4.19) | 0 (0) | |
Respondent’s knowledge of falls, risk factors, and fall prevention
Before the intervention, the majority of the respondents (n = 232; 74.84%) agreed that falls and related fractures are the leading causes of hospital admission among older adults while 31 respondents (10.0%) disagreed, and 47 (15.16%) said don’t know. In post-intervention, the number of respondents who agreed with this statement increased to 257 (82.91%) while the number of respondents who disagreed and were unsurely decreased to 25 (8.06%) and 28 (9.03%), respectively. A strong correlation (r = 0.89) between pre- and post-intervention knowledge was shown among the respondents. Paired t-test analysis showed a statistically significant difference.
For the question “According to your knowledge, which of the following are risk factors for falls among people in your age?” the majority of the respondents during pre-intervention answered that the biological factors (n = 241; 77.74%) and unsafe environment (n = 237; 76.45%) can be risk factors for falls. In post-intervention, the number of respondents who agreed to both the risk factors increased to 296 (95.48%) and 303 (97.74%) respectively. The improvement after the intervention showed a significant positive correlation with r-values of 0.37 and 0.27 respectively. The majority of the respondents (n = 166; 53.55%) during pre-intervention didn’t agree that behavioural factors can be a risk for falls, however, in post-intervention, 241 respondents (77.74%) agreed that it can be a risk factor for falls (r = 0.49). The majority of the respondents (n = 228; 73.55%) didn’t agree medications can contribute to falls among older adults, during pre-intervention. In post-intervention, more than half (n = 216; 69.98%) of the respondents agreed that medications can be a risk factor for falls (r = 0.39). Paired t-test analysis showed statistically significant differences for each question.
Prior to intervention, about 55 (17.74%) respondents didn’t agree with any of the suggested medical conditions that may lead to falling. Post-intervention showed improvement in the knowledge whereby the number of respondents agreed that the following medical conditions that may lead to a person falling; Parkinson’s disease (
n = 37; 11.94%;
r = 0.44), hypertension (
n = 263; 84.84%; r-value = 0.73), diabetes (
n = 116; 37.42%;
r = 0.75), and bone disorders (
n = 100; 32.26%; r-value = 0.73). Paired t-test analysis showed statistically significant differences for each question. The details are presented in Table
2. The details of respondents’ knowledge of fall prevention and fall risk factors are presented in Supplementary Tables
4 and
5.
Before the intervention, most of the respondents agreed that falls may result in reduced mobility (n = 280; 90.32%) and restriction in daily activities (n = 281; 90.65%). Some respondents felt that social isolation (n = 139; 44.84%) can be experienced by someone who fell. Around 24 respondents (7.74%) were unsure of the outcome of falls. In Post-intervention, the number of respondents who agreed that falls can cause reduced mobility and restriction of activities increased to 293 (96.52%; r = 0.74; p = < 0.05) and 288 (92.90%; r = 0.86; p = = 0.01). However, the number of respondents who agreed to social isolation decreased by one (n = 138; 44.52%; r = 0.99).
The majority of the respondents felt that proper nutrition (
n = 283; 91.29%), regular exercise and active lifestyle (
n = 281; 90.65%), proper medication intake (
n = 294; 94.84%), and a conducive environment such as good lighting, clean and clutter-free floor (
n = 289; 93.23%) can prevent older adults from falling. In post-intervention, their knowledge was significantly improved. The details are presented in Supplementary Table
4.
Respondents’ attitude and perception of falls and fractures
The respondents’ perception of falls and fractures was analysed during pre-and post-intervention. During the pre-intervention, for the first statement, few respondents strongly agreed (
n = 50; 16.13%) and agreed (
n = 70; 22.58%) that there is nothing that can be done to prevent falls. In post-intervention, the majority of the participants disagreed (
n = 208; 67.10%) with the statement. During the pre-intervention, 107 respondents (34.52%) disagreed that they were weak and needed to do fall intervention activities. In post-intervention, the majority of the respondents agreed (
n = 157; 50.65%) that they are weak and need to do fall intervention activities. In post-intervention, the majority of the respondents (
n = 219; 70.65%) agreed that the intervention given after the first fall can prevent recurrent falls. Similarly, about one-third of the respondents (
n = 100; 32.26%) were unsure that carrying out a knowledge training programme in fall-induced injuries in the community is a great necessity. After the intervention, majority of the respondents (
n = 227; 73.22%) agreed that a knowledge training programme could be beneficial for the community. A positive correlation between pre- and post-intervention was obtained. The details are presented in Supplementary Tables
6 and
7.
Intervention on FRIDs medications
The intervention was provided to all the participants, and their prescriptions were reviewed for the appropriateness of prescribed medications. The prescriptions were reviewed for medication appropriateness, dose, frequency, duration, possible side effects, and inclusion of FRIDs. Upon the pharmacist’s medication review, there were 15 prescriptions found to have FRIDs with a potential chance of causing fall-related injuries. FRIDs prescribed in these 15 prescriptions were amended by the prescribers upon pharmacist recommendations by replacing the drugs with suitable alternatives (
n = 5; 33.33%), deprescribing (
n = 3; 20.0%), and dose alteration (
n = 7; 46.67%). The details are presented in Table
3.
Table 3
The outcome of FRIDs medications review (n = 310)
Change of therapy | 5 (1.61) | a) Change of basal-bolus insulin to premixed insulin (n = 1) b) Change amlodipine to perindopril (n = 1) c) Change bolus insulin to gliclazide (n = 1) d) Change simvastatin to atorvastatin (n = 2) |
Dose alteration | 3 (0.97) | a) Reduce dose and frequency of metformin 500 mg BD to 750 mg OD (n = 1) b) Reduce the dose of metformin from 1 g BD to 500 mg BD (n = 1) c) Reduce dose of premixed insulin from 14iu BD to 10iu BD (n = 1) |
Deprescribing | 7 (2.26) | a) Off prazosin & perindopril (n = 1) b) Off gliclazide & amlodipine (n = 1) c) Off perindopril (n = 2) d) Off HCTZ (n = 1) e) Off frusemide (n = 1) f) Off bisoprolol & HCTZ (n = 1) |
No change in therapy | 295 (95.16) | - |
Effectiveness of educational intervention
The effectiveness of the educational intervention was assessed based on the scores assigned to each appropriate answer. At baseline, 28 respondents (9.03%) had poor knowledge, 160 respondents (51.61%) had average knowledge levels, and 122 respondents (39.35%) had good knowledge. In post-intervention, respondents with poor and average knowledge reduced to 1.93% (
n = 6) and 29.35% (
n = 91) respectively. A majority of respondents’ knowledge levels improved significantly after intervention (
n = 213; 68.71%). About eight respondents (2.58%) had a negative perception of falls. In post-intervention, the percentage reduced to 0.65% as only two respondents had a negative perception. A similar scenario was observed in attitudes towards falls and fractures where the negative attitude was observed in seven respondents (2.26%) prior to intervention and after the intervention, only two respondents were observed with a negative attitude. The differences in post-intervention scores were found to be statistically significant. The results are presented in Table
4.
Table 4
Effectiveness of educational intervention on respondent’s KAP (n = 310)
Knowledge Score | | | | | |
0–33 (Poor knowledge) | 28 (9.03) | 60.05 ± 14.434 | 6 (1.93) | 72.58 ± 12.661 | 0.00* |
34–66 (Average knowledge) | 160 (51.61) | 91 (29.35) |
67–100 (Good knowledge) | 122 (39.35) | 213 (68.71) |
Perception Score | | | | | |
08–24 (Negative perception) | 8 (2.58) | 29.16 ± 1.749 | 2 (0.65) | 29.82 ± 1.746 | 0.00* |
25–40 (Positive perception) | 302 (97.42) | 308 (99.35) |
Attitude Score | | | | | |
08–24 (Negative attitude) | 7 (2.26) | 28.03 ± 1.004 | 2 (0.65) | 28.72 ± 1.173 | 0.00* |
25–40 (Positive attitude) | 303 (97.74) | 308 (99.35) |
The effectiveness of the educational intervention was compared between respondents’ educational level as well as sex. Improvements in KAP scores were seen after educational intervention provided to respondents with no formal education (
n = 12; 3.87%), primary education (
n = 229; 73.87%), and secondary education (
n = 69; 22.26%). The details are presented in the Supplementary Table
8.
Discussion
The current study evaluates the effectiveness of pharmacist-led educational intervention in improving the KAP of falls, fractures, and FRIDs among older adults and revealed that in post-intervention the majority of the current study participants had a good level of knowledge, a positive perception, and attitude towards falls. The medication review revealed that 32 types of FRIDs had been identified and 4.8% of respondents intervened for FRIDs. Generally, older adults are known to have multiple comorbidities. Multiple co-morbidities are more common with aging causing visual impairment, muscle weakness, a decline in organ function, and so forth. Long-standing medical conditions such as hypertension and diabetes in addition to the aging process will worsen the health condition [
23‐
25]. The comorbidities identified in this study reflect the overall prevalence data collected from the Malaysian National Health and Morbidity Survey (NHMS) conducted in 2019, pointing out T2DM, hypertension, and dyslipidaemia being the major non-communicable disease in this country [
26]. As this study was carried out at a primary care clinic in a rural area, complex morbidities such as dementia and osteoporosis were not detected. Patients with high morbidity burden tend to obtain specialist services at secondary or tertiary health care facilities commonly situated in the urban area [
27‐
29]. The maximum number of comorbidities a respondent has detected in this study is up to four.
In the present study, 32 types of FRIDs have been identified. The majority of these belong to the cardiovascular medication classes. A majority of the respondents were taking prescription medication of four or more. Polypharmacy may indicate the presence of multiple FRIDs being prescribed to a single patient which in turn increases the risk of falls. Aging combined with multiple FRIDs are strong indicators of falls. There is evidence showing that multiple FRIDs either from the same class of medications or combining different classes such as cardiovascular and psychotropic medications can lead to increased fall incidents [
30,
31]. There were considerably less psychotropic agents detected in this study probably because in this locality not many residents with psychiatric disorders or are seeking medical care at a tertiary care facility. There are numerous studies published have focused on the impact of psychotropic agents and falls [
32,
33]. Cardiovascular medications such as diuretics, antihypertensive agents, and statins greatly affect the risk of falls. Statins use may exacerbate a decline in muscle mass leading to reduced muscle performance thus increasing the risk of falls among older adults [
34‐
36]. Besides muscle weakness, statins are also found to affect balance and gait performances in older adults [
37].
Prior to educational intervention, a majority of the respondents were aware that biological factors and unsafe environments are risk factors for falls. This awareness comes from their own experience either from falling or observing other older people who experience falls. Initially, a majority of the respondents disagreed that behavioural issues such as lack of physical activity and alcoholism can be risk factors for falls. This can be due to a lack of awareness and low health literacy. Their understanding was improved after providing educational intervention. The socioeconomic status of older adults refers to an individual’s social standing, which is typically measured by several indicators such as occupation, income, education, and wealth [
38]. Hence, older adults with poor socioeconomic status have an increased risk of falls as compared to older people with higher socioeconomic status [
38,
39]. In Malaysia, the majority of the citizens obtain health care services from public health facilities as the services provided are heavily subsidised by the government. Due to this reason, the majority of the respondents don’t feel the socioeconomic status is a risk factor for falls. Besides easily accessible health care services, lack of awareness that it can be a risk factor could also be a possible reason. A similar situation was encountered when respondents asked if medications can be a risk factor for falls. The majority of them didn’t agree so because they feel medications bring benefits rather than harms. In the educational material provided, an explanation was given on how some classes of medications can contribute to the risk of falling through side effects. As compared to a study conducted in Sri Lanka, respondents from the current study had average knowledge at baseline [
22]. In post-intervention, there was a significant improvement in respondents’ knowledge regarding medications as a possible risk factor for falls.
In the present study, respondents do perceive that fall is a preventable event after educating them about fall prevention measures. This group of respondents was aware that they were susceptible to falling. The respondents also perceive that the safety of the house is adequate and educational intervention does not have much impact on this perception. This can be probably due to the majority of fall incidents being experienced in outdoor settings. Less than a majority, perceive weakness negatively thus denying that they require help to prevent them from falling. Educational interventions help to change their negative perception to positive ones as they accept that they are frail and require fall prevention activities [
40‐
42]. The majority of the respondents were aware that recurrent falls can be prevented, if necessary, and steps are taken to avoid falling. They also agree that knowledge training programmes on fall-related injuries should be implemented in the community as they are beneficial. Currently, knowledge training programmes on fall-related injury are not widely implemented, particularly in the rural areas of Malaysia. Despite the education level and locality, the respondents do understand the importance of taking care of their health.
A majority of the participants don’t adjust their beds as they still use conventional bed frames. Hence, the educational intervention does not show any effect on this attitude. Attitude in terms of stopping medications when experiencing side effects improved after the intervention. Educating older adults about the possible side effects of medications and subsequent countermeasures is vital to avoid falls. This activity can be carried out during medication review and counselling by pharmacists. This is a novel study in the Malaysian setting analysing the attitude of older adults towards falls. So forth, no such studies have been carried out in the Malaysian setting, and hence this study will provide an insight into the attitude of older adults towards their experiences and practices towards falls. Moreover, the findings of this study may help healthcare providers in the management of fall risk and will help them to improve the quality of life of older adults. The outcomes reported in the current study are consistent with outcomes reported from other Asian studies proving that educational intervention does improve one’s attitude and perception towards fall [
22,
43].
Out of 310 prescriptions reviewed, only 4.8% of prescriptions were found to have FRIDs with a potential chance of inducing falls and were intervened. Pharmacotherapies were not changed for the remaining respondents as the treatment was found to be more beneficial than harmful. Based on a prospective cohort study done by Van Der Velde et al. FRIDs intervention was effective in reducing fall incidents with an absolute risk reduction of 19% and relative risk reduction of 49%. Most of the intervention in the present study was done for cardiovascular medications as a majority was diagnosed with cardiovascular diseases. Since a majority of the intervention was done on cardiovascular medications, the risk reduction of fall incidents might be similar to the above-mentioned study.
Based on the statistical analysis carried out, the pharmacist-led educational intervention was found to be significantly effective in improving the respondent’s KAP of falls. This is evident by the scores reported before and after the intervention had been provided. The result from the statistical analysis also pointed out that the educational materials used in this study benefit the patients regardless of sex and education level. The educational materials can be used even for patients without formal education living in the rural areas.
Pharmacist-led education intervention was proven to be effective in controlling chronic medical condition(s). An earlier study conducted among the Malaysian diabetic population showed that pharmacist-led education intervention significantly improved their knowledge of diabetes and medication adherence behaviour [
44]. Another study reported that Pharmacist-led educational interventions have reduced the rate of medication errors [
45], and improved health outcomes, particularly medication adherence among patients with hypertension [
46]. A study among asthmatic patients revealed that pharmacist-led educational intervention has shown a positive impact on the knowledge of asthma and self-management of the disease [
47].
As the study was conducted only in a rural area of a single state, the findings may not represent the actual knowledge, attitude, perception, and practice of older adults in the whole country. Moreover, the ethnicity distribution in this study does not represent the nation’s ethnicity distribution as 99% of the respondents who participated in the study are Malays. There is a possibility of recall bias as some of the respondents may need to recall past events such as fall incidents.
The study was carried out in a rural area with a limited number of respondents, and hence it is recommended to extend the study to other parts of the country with a greater number of older adults to improve the generalisability. It is also recommended to carry out the interventional study with a control group and also for a longer duration of time with follow-up to assess the reduction in fall risk with educational intervention provided to older adults.
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