Skip to main content

Enhancing knowledge, attitude, and perceptions towards fall prevention among older adults: a pharmacist-led intervention in a primary healthcare clinic, Gemas, Malaysia

Abstract

Background

Falls and fall-related injuries are very common among older adults, and the risk of falls increases with the aging process. The lack of awareness of falls and fall-related injuries among older adults can contribute to an increasing risk of falls. Hence, a study was carried out to improve the knowledge, attitude, and perception of falls and fractures among older adults in a primary care setting in Gemas, a rural area of the Selangor state of Malaysia.

Method

A structured educational intervention was provided to older adults who visited the primary care setting in Gemas and provided written informed consent to participate in the study. A total of 310 older adult patients was included in the study using a convenience sampling technique.

Results

Before the intervention, 74.84% of the respondents (n = 232) agreed that falls and related fractures are the leading causes of hospital admission among older adults. In post-intervention, the number of respondents who agreed with this statement increased to 257 (82.91%). 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 the 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 total of 32 types of fall-risk-increasing drugs (FRIDs) have been prescribed to the respondents. 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.

Conclusion

The pharmacist-led educational intervention significantly improved the knowledge, attitude, and perception of falls among older adults. More structured and periodical intervention programmes are warranted to reduce the risk of falls and fractures among older adults.

Peer Review reports

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 [1,2,3]. 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 [4,5,6]. 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 [6,7,8]. 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 [6,7,8], 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 [9,10,11]. 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 [13,14,15].. 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 [16,17,18]. 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 [19,20,21]. 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.

Methods

Study design, population, and sample recruitment

An interventional study was carried out in a primary care setting in Gemas, Malaysia. The data collection targeting older adults was carried out from February to August 2022. The participants who were 65 years and above and seeking medical treatment at this primary clinic were included in the study. The participants must be able to read, understand, and respond to the questionnaire and study materials provided to them. Participants with hearing and visual impairment were not included in the study. Participants who met the inclusion criteria and were willing to participate in the study were recruited by the clinical pharmacist who is one of the researchers in the current study. The older adults seeking medical treatment at this study site were approached by the clinical pharmacist, who provided an explanation of the study’s purposes and requested them to participate in the present study.

The study was approved by the institutional research and ethics committee, the head of the facility of the study setting. Confidentiality of all the information gathered during the data collection process was maintained throughout the study. Informed written consent was obtained from each participant prior to enrolling in the study.

Study questionnaires and intervention materials

The validated study questionnaire was obtained from a published study by Gamage et al. which investigated knowledge and perception of falls among older adults in Sri Lanka [22]. Prior permission was obtained to use the questionnaire. The study questionnaire was modified and validated with an additional set of questionnaires on attitudes towards falls. The study questionnaire was sectioned into two parts that examined the participants’ demographic characteristics, and KAP of falls. The knowledge component consists of eight subcomponents assessing risk factors associated with falls and fractures, sites of fall-related fractures, fall prevention, and sources of information related to falls and fractures. The attitude and perception component, on the other hand, consists of eight statements each, targeting falls and falls-related fractures. A total of 26 questions were used in this study. The initial questionnaire was designed in English and later was translated and validated in Bahasa Melayu as most participants only comprehend the national language. The study questionnaire is presented in Supplementary Table 1.

Intervention procedure

As the study was conducted among older adults, all the participants were included in the intervention group, and no control group was created. The KAP of falls before the intervention was assessed for every individual participant by the clinical pharmacist. The questionnaires were disseminated to the participants while waiting to be examined by the doctors. Once the KAP of falls had been assessed, a fall prevention poster and video (educational intervention materials) were made available to all the participants in the study. The educational intervention on falls, fall risk, complications, and FRIDs was provided individually through one-to-one pharmacist-patient interview sessions. After the educational intervention was provided, KAP was assessed again on the same day. Pre- and post-KAP assessments were carried out by face-to-face interviews. While intervention material was being disseminated, a medication review for each participant was carried out to identify potential FRID. Intervention on the FRID medications was done after consulting the prescriber regarding the potential increased risk of falls when consuming FRID medications. A duration of 15–20 min was spent on the intervention process for each participant. The details are shown in Fig. 1 schematic diagram.

Fig. 1
figure 1

A schematic diagram of the study design and the intervention procedures

Statistical analysis

The sample size for the present study was calculated using Raosoft® sample size calculator, with a 5% margin of error, 95% confidence interval, and 50% response distribution. The calculated sample size for this study was 310. Statistical Package for Social Sciences (SPSS) version 26.0 was used to tabulate and analyse the data. The correlation between pre- and post-intervention was assessed using Pearson’s correlation test. The paired t-test was used to determine the mean difference between pre- and post-intervention. A p-value of less than 0.05 was considered statistically significant.

Based on the previous study conducted by Gamage et al. [22]. each positive response to knowledge-based questions was given a mark of five. A mark of zero was given to each negative response. The maximum mark an individual could be obtained was 100. The total score was divided into three categories. An individual scored between 0 and 33 was considered to have poor knowledge, scores between 34 and 66 were categorised as average knowledge, while individuals with scores of 67 to 100 were deemed to have good knowledge.

Each statement under the perception and attitude section was scored based on a Likert scale ranging from 1 to 5. The maximum number of marks that could be obtained was 40, with a minimum of 08. Individuals with scores of 8–24 were considered to have negative perceptions or attitudes, while those with scores of 25–40 were considered to have positive perceptions or attitudes [22].

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)

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)

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)

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)

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 [23,24,25]. 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 [27,28,29]. 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 [34,35,36]. 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 [40,41,42]. 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.

Conclusion

The findings of the study concluded that the older adults in this primary care setting had good knowledge, attitude, and perception (KAP) of falls and fractures in post-intervention. The review of the fall risk-increasing drugs (FRIDs) among older adults found that most of the patients were receiving polypharmacy or multiple medications that significantly contributed to the development of falls. The educational intervention provided to the respondents was significantly effective in improving the awareness of falls and FRIDs. More robust and comprehensive educational interventions on the falls and FRIDs are needed to prevent the occurrence of falls among the wider older adult population.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  1. Vaishya R, Vaish A. Falls in older adults are serious. Indian J Orthop. 2020;54(1):69–74. https://doi.org/10.1007/s43465-019-00037-x

    Article  PubMed  PubMed Central  Google Scholar 

  2. Ooi TC, Singh DKA, Shahar S, Rajab NF, Vanoh D, Sharif R, Tan MP. Incidence and multidimensional predictors of occasional and recurrent falls among Malaysian community-dwelling older persons. BMC Geriatr. 2021;21(1):154. https://doi.org/10.1186/s12877-021-02103-2

    Article  PubMed  PubMed Central  Google Scholar 

  3. Tang S, Liu M, Yang T, Ye C, Gong Y, Yao L, Xu Y, Bai Y. Association between falls in elderly and the number of chronic diseases and health-related behaviors based on CHARLS 2018: health status as a mediating variable. BMC Geriatr. 2022;22(1):374. https://doi.org/10.1186/s12877-022-03055-x

    Article  PubMed  PubMed Central  Google Scholar 

  4. LeLaurin JH, Shorr RI. Preventing falls in hospitalized patients: state of the science. Clin Geriatr Med. 2019;35(2):273–83. https://doi.org/10.1016/j.cger.2019.01.007

    Article  PubMed  PubMed Central  Google Scholar 

  5. Dykes PC, Curtin-Bowen M, Lipsitz S, Franz C, Adelman J, Adkison L, Bogaisky M, Carroll D, Carter E, Herlihy L, Lindros ME, Ryan V, Scanlan M, Walsh MA, Wien M, Bates DW. Cost of inpatient falls and cost-benefit analysis of implementation of an evidence-based fall prevention program. JAMA Health Forum. 2023;4(1):e225125. https://doi.org/10.1001/jamahealthforum.2022.5125

    Article  PubMed  PubMed Central  Google Scholar 

  6. Manirajan P, Sivanandy P. Drug utilisation review among geriatric patients with noncommunicable diseases in a primary care setting in Malaysia. Healthcare. 2023;11(12):1665. https://doi.org/10.3390/healthcare11121665

    Article  PubMed  PubMed Central  Google Scholar 

  7. Lee J, Negm A, Peters R, Wong EKC, Holbrook A. Deprescribing fall-risk increasing drugs (FRIDs) for the prevention of falls and fall-related complications: a systematic review and meta-analysis. BMJ Open. 2021;11(2):e035978. https://doi.org/10.1136/bmjopen-2019-035978

    Article  PubMed  PubMed Central  Google Scholar 

  8. Seppala LJ, Petrovic M, Ryg J, Bahat G, Topinkova E, Szczerbińska K, et al. STOPPFall (Screening ns prescriptions in older adults with high fall risk): a Delphi study by the EuGMS task and finish group on fall-risk-increasing drugs. Age Ageing. 2021;50(4):1189–99. https://doi.org/10.1093/ageing/afaa249

    Article  PubMed  Google Scholar 

  9. Ong MF, Soh KL, Saimon R, Wai MW, Mortell M, Soh KG. Fall prevention education to reduce fall risk among community-dwelling older persons: a systematic review. J Nurs Manag. 2021;29(8):2674–88. https://doi.org/10.1111/jonm.13434

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kuhirunyaratn P, Prasomrak P, Jindawong B. Effects of a health education program on fall risk prevention among the urban elderly: a quasi-experimental study. Iran J Public Health. 2019;48(1):103–11. PMID: 30847317.

    PubMed  PubMed Central  Google Scholar 

  11. Shaw L, Kiegaldie D, Farlie MK. Education interventions for health professionals on falls prevention in health care settings: a 10-year scoping review. BMC Geriatr. 2020;20(1):460. https://doi.org/10.1186/s12877-020-01819-x

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Loonlawong S, Limroongreungrat W, Jiamjarasrangsi W. The stay independent brochure as a screening evaluation for fall risk in an elderly Thai population. Clin Interv Aging. 2019;14:2155–62. https://doi.org/10.2147/CIA.S233414

    Article  PubMed  PubMed Central  Google Scholar 

  13. Romli MH, Tan MP, Mackenzie L, Lovarini M, Suttanon P, Clemson L. Falls amongst older people in Southeast Asia: a scoping review. Public Health. 2017;145:96–112. https://doi.org/10.1016/j.puhe.2016.12.035

    Article  CAS  PubMed  Google Scholar 

  14. Hill KD, Suttanon P, Lin SI, Tsang WWN, Ashari A, Hamid TAA, Farrier K, Burton E. What works in falls prevention in Asia: a systematic review and meta-analysis of randomized controlled trials. BMC Geriatr. 2018;18(1):3. https://doi.org/10.1186/s12877-017-0683-1

    Article  PubMed  PubMed Central  Google Scholar 

  15. Tan PJ, Khoo EM, Chinna K, Saedon NI, Zakaria MI, Ahmad Zahedi AZ, et al. Individually-tailored multifactorial intervention to reduce falls in the Malaysian falls assessment and intervention trial (MyFAIT): a randomized controlled trial. PLoS ONE. 2018;13(8):e0199219. https://doi.org/10.1371/journal.pone.0199219

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Azidah AK, Hasniza H, Zunaina E. Prevalence of falls and its associated factors among elderly diabetes in a tertiary center, Malaysia. Curr Gerontol Geriatr Res. 2012;2012:539073. https://doi.org/10.1155/2012/539073

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Yeong UY, Tan SY, Yap JF, Choo WY. Prevalence of falls among community-dwelling elderly and its associated factors: a cross-sectional study in Perak, Malaysia. Malays Fam Physician. 2016;11(1):7–14. PMID: 28461842.

    CAS  PubMed  PubMed Central  Google Scholar 

  18. Kioh SH, Rashid A. The prevalence and the risk of falls among institutionalised elderly in Penang, Malaysia. Med J Malaysia. 2018;73(4):212–9. PMID: 30121683.

    CAS  PubMed  Google Scholar 

  19. Rahayu SA, Widianto S, Defi IR, Abdulah R. Role of pharmacists in the interprofessional care team for patients with chronic diseases. J Multidiscip Healthc. 2021;14:1701–10. https://doi.org/10.2147/JMDH.S309938

    Article  PubMed  PubMed Central  Google Scholar 

  20. Omboni S, Caserini M. Effectiveness of pharmacist’s intervention in the management of cardiovascular diseases. Open Heart. 2018;5(1):e000687. https://doi.org/10.1136/openhrt-2017-000687. Published 2018 Jan 3.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Pehlivanli A, Eyupoglu S, Basgut B, Erturk S, Ozcelikay AT. Impact of a multidisciplinary approach involving clinical pharmacist on resolving drug related problems in chronic kidney patients: a prospective interventional study. BMC Nephrol. 2023;24(1):149. https://doi.org/10.1186/s12882-023-03210-5

    Article  PubMed  PubMed Central  Google Scholar 

  22. Gamage N, Rathnayake N, Alwis G. Knowledge and perception of falls among community dwelling elderly: a study from southern Sri Lanka. Curr Gerontol Geriatr Res. 2018;2018:7653469. https://doi.org/10.1155/2018/7653469

    Article  PubMed  PubMed Central  Google Scholar 

  23. Jaul E, Barron J. Age-related diseases and clinical and public health implications for the 85 years old and over population. Front Public Health. 2017;5:335. https://doi.org/10.3389/fpubh.2017.00335

    Article  PubMed  PubMed Central  Google Scholar 

  24. Singh RR, Maurya P. Visual impairment and falls among older adults and elderly: evidence from longitudinal study of ageing in India. BMC Public Health. 2022;22(1):2324. https://doi.org/10.1186/s12889-022-14697-2

    Article  PubMed  PubMed Central  Google Scholar 

  25. Maresova P, Javanmardi E, Barakovic S, Barakovic Husic J, Tomsone S, Krejcar O, Kuca K. Consequences of chronic diseases and other limitations associated with old age - a scoping review. BMC Public Health. 2019;19(1):1431. https://doi.org/10.1186/s12889-019-7762-5

    Article  PubMed  PubMed Central  Google Scholar 

  26. Department of Statistics M. Key findings: population and housing census of Malaysia 2020. Putrajaya. 2022. https://cloud.stats.gov.my/index.php/s/BG11nZfaBh09RaX#pdfviewer

  27. Starfield B, Lemke KW, Herbert R, Pavlovich WD, Anderson G. Comorbidity and the use of primary care and specialist care in the elderly. Ann Fam Med. 2005;3(3):215–22. https://doi.org/10.1370/afm.307

    Article  PubMed  PubMed Central  Google Scholar 

  28. Mohd Noh SN, Jawahir S, Tan YR, Ab Rahim I, Tan EH. The health-seeking behavior among Malaysian adults in urban and rural areas who reported sickness: findings from the National Health and Morbidity Survey (NHMS) 2019. Int J Environ Res Public Health. 2022;19(6):3193. https://doi.org/10.3390/ijerph19063193

    Article  PubMed  PubMed Central  Google Scholar 

  29. He AJ, Tang VFY. Integration of health services for the elderly in Asia: a scoping review of Hong Kong, Singapore, Malaysia, Indonesia. Health Policy. 2021;125(3):351–62. https://doi.org/10.1016/j.healthpol.2020.12.020

    Article  PubMed  Google Scholar 

  30. Modreker MK, von Renteln-Kruse W. Arzneimittel Und Stürze Im Alter [Medication and falls in old age]. Internist (Berl). 2009;50(4):493–500. https://doi.org/10.1007/s00108-009-2355-5

    Article  CAS  PubMed  Google Scholar 

  31. Milos V, Bondesson Å, Magnusson M, Jakobsson U, Westerlund T, Midlöv P. Fall risk-increasing drugs and falls: a cross-sectional study among elderly patients in primary care. BMC Geriatr. 2014;14:40. https://doi.org/10.1186/1471-2318-14-40

    Article  PubMed  PubMed Central  Google Scholar 

  32. Tanaka M, Suemaru K, Ikegawa Y, Tabuchi N, Araki H. Relationship between the risk of falling and drugs in an academic hospital. Yakugaku Zasshi. 2008;128(9):1355–61. https://doi.org/10.1248/yakushi.128.1355

    Article  PubMed  Google Scholar 

  33. Ensrud KE, Blackwell TL, Mangione CM, Bowman PJ, Whooley MA, Bauer DC, et al. Study of osteoporotic fractures research group. Central nervous system-active medications and risk for falls in older women. J Am Geriatr Soc. 2002;50(10):1629–37. https://doi.org/10.1046/j.1532-5415.2002.50453.x

    Article  PubMed  Google Scholar 

  34. Scott D, Blizzard L, Fell J, Jones G. Statin therapy, muscle function and falls risk in community-dwelling older adults. QJM. 2009;102(9):625–33. https://doi.org/10.1093/qjmed/hcp093

    Article  CAS  PubMed  Google Scholar 

  35. de Vries M, Seppala LJ, Daams JG, van de Glind EMM, Masud T, van der Velde N. EUGMS task and finish group on fall-risk-increasing drugs. Fall-risk-increasing drugs: a systematic review and meta-analysis: i. cardiovascular drugs. J Am Med Dir Assoc. 2018;19(4):371. https://doi.org/10.1016/j.jamda.2017.12.013

    Article  Google Scholar 

  36. Osman A, Speechley M, Ali S, Montero-Odasso M. Fall-risk-increasing drugs and gait performance in community-dwelling older adults: exploratory results from the gait and brain study. Drugs Aging. 2023;40(8):721–30. https://doi.org/10.1007/s40266-023-01045-1

    Article  CAS  PubMed  Google Scholar 

  37. Langeard A, Saillant K, Charlebois Cloutier E, Gayda M, Lesage F, Nigam A, et al. Association between statin use and balance in older adults. Int J Environ Res Public Health. 2020;17(13):4662. https://doi.org/10.3390/ijerph17134662

    Article  PubMed  PubMed Central  Google Scholar 

  38. Kim T, Choi SD, Xiong S. Epidemiology of fall and its socioeconomic risk factors in community-dwelling Korean elderly. PLoS ONE. 2020;15(6):e0234787. https://doi.org/10.1371/journal.pone.0234787

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Zhou Y, Zhou L, Fu C, Wang Y, Liu Q, Wu H, Zhang R, Zheng L. Socio-economic factors related with the subjective well-being of the rural elderly people living independently in China. Int J Equity Health. 2015;14:5. https://doi.org/10.1186/s12939-015-0136-4

    Article  PubMed  PubMed Central  Google Scholar 

  40. Montero-Odasso M, van der Velde N, Martin FC, Petrovic M, Tan MP, Ryg J, et al. World guidelines for falls prevention and management for older adults: a global initiative. Age Ageing. 2022;51(9):afac205. https://doi.org/10.1093/ageing/afac205

    Article  PubMed  PubMed Central  Google Scholar 

  41. Stevens JA, Sleet DA, Rubenstein LZ. The influence of older adults’ beliefs and attitudes on adopting fall prevention behaviors. Am J Lifestyle Med. 2017;12(4):324–30. https://doi.org/10.1177/1559827616687263

    Article  PubMed  PubMed Central  Google Scholar 

  42. Ožić S, Vasiljev V, Ivković V, Bilajac L, Rukavina T. Interventions aimed at loneliness and fall prevention reduce frailty in elderly urban population. Med (Baltim). 2020;99(8):e19145. https://doi.org/10.1097/MD.0000000000019145

    Article  Google Scholar 

  43. Zhang LL, Dalal K, Yin MM, Yuan DG, Andrews JY, Wang SM. The KAP evaluation of intervention on fall-induced injuries among elders in a safe community in Shanghai, China. PLoS ONE. 2012;7(3):e32848. https://doi.org/10.1371/journal.pone.0032848

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Atolagbe ET, Sivanandy P, Ingle PV. Effectiveness of educational intervention in improving medication adherence among patients with diabetes in Klang Valley, Malaysia. Front. Clin. Diabetes Healthc. 2023;4:1132489. https://doi.org/10.3389/fcdhc.2023.1132489

    Article  Google Scholar 

  45. Jaam M, Naseralallah LM, Hussain TA, Pawluk SA. Pharmacist-led educational interventions provided to healthcare providers to reduce medication errors: a systematic review and meta-analysis. PLoS ONE. 2021;16(6):e0253588. https://doi.org/10.1371/journal.pone.0253588

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Ayogu EE, Yahaya RI, Isah A, Ubaka CM. Effectiveness of a pharmacist-led educational intervention on health outcomes in hypertension management at community pharmacies in Nigeria: a two-arm parallel single-blind randomized controlled trial. Br J Clin Pharmacol. 2023;89(2):649–59. https://doi.org/10.1111/bcp.15514

    Article  CAS  PubMed  Google Scholar 

  47. Saleem SS, Khan A, Aman R, Saleem SS, Bibi A, Ahmad N, Mushtaq S, Mehsud S, Green IR, Rashid SA, Khan A, Shah KU. Impact of pharmacist-led educational intervention on knowledge of self-management among asthmatic patients: a prospective cohort study. BMJ Open. 2022;12(6):e058861. https://doi.org/10.1136/bmjopen-2021-058861

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to deeply thank the management of International Medical University for the necessary support to carry out this research.

Funding

This study was funded by the International Medical University, Kuala Lumpur, Malaysia, the grant approval number is MPP1-2021(09).

Author information

Authors and Affiliations

Authors

Contributions

P.M: concept and design, data collection, statistical analysis, research writing, preparing, and submission of final manuscript. P.S: interpretation of results, preparing the final manuscript, revising, and approving the final manuscript. P.V.I: concept and design of the study, revising, and approving the final manuscript.

Corresponding author

Correspondence to Palanisamy Sivanandy.

Ethics declarations

Ethics approval and consent to participate

The proposal was approved by the Joint Committee on Research and Ethics of the International Medical University (IMU-JC) [Project ID: MPP1-2021(09)]. The anonymity and confidentiality of the data were maintained throughout the study. Informed written consent was obtained from the hospital manager and study participants.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Manirajan, P., Sivanandy, P. & Ingle, P.V. Enhancing knowledge, attitude, and perceptions towards fall prevention among older adults: a pharmacist-led intervention in a primary healthcare clinic, Gemas, Malaysia. BMC Geriatr 24, 309 (2024). https://doi.org/10.1186/s12877-024-04930-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12877-024-04930-5

Keywords