• 沒有找到結果。

Patterns of perspectives on fall-prevention beliefs by community-dwelling older adults: a Q method investigation

N/A
N/A
Protected

Academic year: 2021

Share "Patterns of perspectives on fall-prevention beliefs by community-dwelling older adults: a Q method investigation"

Copied!
10
0
0

加載中.... (立即查看全文)

全文

(1)

R E S E A R C H A R T I C L E

Open Access

Patterns of perspectives on fall-prevention

beliefs by community-dwelling older adults:

a Q method investigation

Shueh-Fen Chen

1,2

, Su-Fei Huang

3

, Li-Ting Lu

4

, Mei-Chuen Wang

5

, Jung-Yu Liao

2

and Jong-Long Guo

2*

Abstract

Background: Falling has high incidence and reoccurrence rates and is an essential factor contributing to accidental injury or death for older adults. Enhancing the participation of community-dwelling older adults in fall-prevention programs is crucial. Understanding fall-prevention beliefs will be beneficial for developing a community-based fall-prevention program. The aim of the present study was to identify the distinct types of subjective views on the fall-prevention beliefs of community-dwelling older adults aged 80 years and older by applying the Q method. Methods: The Q method was adopted to investigate the pattern of perception on fall-prevention beliefs. Forty-two older adults aged 80− 92 years from a community care center in Northern Taiwan were recruited and requested to complete a Q-sorting. A series of Q-sorts was performed by the participants to rank 30 statements into a normal distribution Q-sort grid. The Q-sorts were subjected to principal component analysis by using PQMethod software Version 2.35.

Results: Four statistically independent perspectives were derived from the analysis and reflected distinct viewpoints on beliefs related to fall prevention. Participants in the Considerate perspective believed that health problems caused by falling were serious and fall prevention could decrease the burden they place on their family. Participants in the Promising perspective believed that existing health problems could cause a fall and that fall prevention contributed to their well-being. Participants in the Adaptable perspective perceived low barriers to execute fall prevention and displayed self-confidence and independence in preventing falls. Participants in the Ignorance perspective believed that they could not prevent falls and perceived barriers to fall prevention.

Conclusions: By combining theoretical constructs and the Q methodology approach, this study identified four distinct perspectives on fall prevention among community-dwelling older adults. Critical reflection on older adult personal perspectives and interpretations of the required responsive approach is a key element for appropriating fall-prevention support.

Keywords: Beliefs, Fall prevention, Q methodology, Older adults Background

Falling has high incidence and reoccurrence rates and is an essential factor contributing to accidental injury or death for older people [1–3]. Prevalence rates for falls in community-dwelling older adults range from 17.2 % to 33.1 %, and reoccurrence rates are 5.7 % to 15.2 % [2, 4, 5]. Falls are particularly prevalent in older

adults aged 80 years and older, and the proportion of this population experiencing falls is increasing more sharply than that of other age groups; fall rates can be as high as 50 % per year [2, 6, 7]. Falls can result in injuries, including physical and mental, and are related to family and social effects. These are devas-tating problems causing major morbidity and mortal-ity among older people, particularly older adults aged 80 years and older [6, 7]. Falls lead to severe out-comes that not only impose a considerable financial burden on families but also increase associated social

* Correspondence:jonglong@ntnu.edu.tw

2Department of Health Promotion and Health Education, National Taiwan

Normal University, No.162, Sec. 1, He-ping East Road, Taipei 10610, Taiwan Full list of author information is available at the end of the article

© 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

(2)

and health care costs [8]. Therefore, strategies and methods for preventing or reducing the incidence of falls in older adults have become a crucial topic [8, 9].

Systematic reviews and meta-analyses revealed that promoting appropriate physical activities or exercises to improve strength, balance, and flexibility is one of the most feasible and cost-effective strategies to prevent falls among older adults in the community [2, 4, 5]. A critical difficulty in obtaining the benefits of fall-prevention activities is to motivate older adults to actively participate in the activities [2]. However, older adults may not regularly participate in fall-prevention intervention programs. Studies indicated that older adult participation rates are not high: Approximately 40 % of people aged 60 years and older have not reached the minimum recommended level [10, 11]. If older adults perceive falls as a normal conse-quence of ageing expressed as “seniors will always fall”, their attitudes may halt preventive behaviors [2]. Re-search indicated that health professionals should consider the subjective views of older adults to trigger their partici-pation in fall-preventive activities [12].

Older adult perceptions play a vital role in their willingness to engage in fall-prevention activities [13]. Understanding fall-prevention beliefs of older adults contributes to developing successful community-based fall-prevention interventions [14]. Simons [15] indicated that the Q methodology is frequently used to investigate individual subjective attitudes because it enables inter-viewees to smoothly express their views through state-ments. An evidence revealed that using the Q methodology for investigating subjective views facilitates communication for people who experience difficulty expressing their views [16]. The methodology provides a logical process for systematically investigating the subjective views, opinions, beliefs, and attitudes of participants. It was used successfully to investigate the diverse health concerns in health promotion [17].

We found that the four health belief model (HBM) constructs (susceptibility, severity, benefits, and bar-riers to taking action) coincided with the background of this study and were suitable as a theoretical guide-line for developing Q-statements for assessing individual beliefs in preventive fall. Previously, re-searchers adopted the HBM to explore the views of community-dwelling older adults; it was used to ver-ify and elucidate preventive health behaviors [18, 19]. As previously mentioned, the risk of falling was strongly associated with older adults aged 80 years and older. Thus, the aim of the present study was to identify the distinct types of subjective views on the fall-prevention beliefs of community-dwelling older adults aged 80 years and older by applying Q methodology.

Methods

Participants

The study targeted community-dwelling older adults from community care centers in a city in Northern Taiwan. The community care centers provide health promotion services through voluntary sectors under the government subsidies. Community-dwelling older adults can participate in the health promotion services gratuit-ously. The inclusion criteria of participants were as follows: (a) being more than 80 years old, (b) able to express their views in Mandarin or Taiwanese, and (c) willingness to participate in the study and sign an informed consent.

A previous study suggested that the Q methodology was not designed for hypothesis testing; thus, the sample size was not estimated [20]. The Q methodology is a type of exploratory factor analysis. Diverse viewpoints would be achieved most effectively with a group of 40–60 participants [21]. On the basis of this sugges-tion, we recruited 50 older adults aged 80 or older who agreed to participate in the study, and 42 older adults successfully completed the Q-sorting.

Demographic information

Demographic information, including age, gender, educa-tion level, marital status, living status, fall experience (last year), and cardiovascular disease, was collected using a structured questionnaire.

Procedure

Applying the Q methodology involved compiling the Q-sorting data derived from the Q-statements sorted by the interviewees. Subsequently, a Q-perspective analysis was conducted to classify the interviewees and explore their characteristics. The Q-sorting facilitated presenting and thereby clarifying the interviewee subjective views on the Q-statements, thus elucidating their attitudes toward fall prevention. The Q method procedure is described as follows:

Phase I. Developing a concourse and constructing Q-statements

Developing a concourse is the first step in the Q methodology. A concourse refers to a summary of opinions related to interesting issues. A theoretical con-cept based on the HBM [18] was adopted to compile fall-prevention experiences and views from the perspec-tives of community-dwelling older adults. Q-sorting items were referred to literature reviews and views col-lected from six focus group interviews on community-dwelling older adults [22]. We obtained a total of 73 statements that constituted the concourse used in this study. The content validity of the 73 statements was assessed by two experts in older adult health promotion

(3)

and fall prevention to secure each statement distinctly and plainly. Ambiguous and confusing statements were eliminated or modified to ensure that they were compre-hensible to the interviewees. Throughout a series of con-sultations, the research team finally revised and reduced the statements to a set of 30 items. Eight participants were recruited for the pilot study to test the validity and reliability of the items. Ambiguous and confusing state-ments were remodified to ensure that the interviewees comprehended the statements. The final set of the 30 Q-statements were representative of the original “written views or sayings” about fall prevention provided by the members of the focus group.

Phase II. Administering the Q-sorts

The implementation of the Q method involved a Q-sorting process performed by the interviewees. Each older adult was visited individually by a trained inter-viewer who conducted the interview at a quiet room of the community care center. The 30 Q-statements were separately printed on a card in advance; these cards were called Q-samples. The interviewee was requested to sort and rank these cards by following a procedure. Verbal instructions regarding how to complete the Q-sorting were provided. The trained interviewer shuffled the cards prior to administration, and the participants were advised to read the statements and rank the items by placing the card in a sorting grid depicted in Fig. 1. The trained interviewer read the cards out loud for those who could not read by themselves. Each column of the grid represented a response from +3 (most agree) to −3 (most disagree). Each set of the ranked grid was collected for each participant. The participants were allowed to

move statements during the sorting process until they felt comfortable with the distributions of all statements. The final grid comprised the participant Q-sorting, which was placed on a data collection paperboard and photographed by the interviewer. The participants spent approximately 30 min to complete the Q-sorting.

Data analysis

The statistical software package PQMethod Version 2.35 was employed to analyze the Q-sorting data (Additional file 1). The Q methodology is typically used for explora-tory research. Therefore, principal component analysis with Varimax rotation was conducted to extract relevant perspectives. Regarding the classification principle, Schinger [23] recommended that perspective loadings be greater than 2.58/√i to demonstrate significance (i is the number of statements). Consequently, in this study, only if the perspective loadings were greater than 2.58/√30 = 0.47 and presented as the highest, then they served as the classification criterion. A combination of eigenvalues that reflected the amount of variation accounted for by a corresponding factor and a scree plot was employed to determine the number of retained factors. Finally, four perspective factors with eigenvalues greater than one were derived. We determined that the four-factor solution was the “best-fit” for the data. Each factor comprised at least three Q-sort loadings that were high and significant (p < 0.05) on only one factor.

Results

A total of 42 participants aged 80–92 years (84.05 ± 3.18 years) were recruited; 76.2 % (n = 32) of them were

(4)

women, 31.0 % (n = 13) had experienced a fall in the pre-vious year, 47.6 % (n = 20) were illiterate, 61.9 % (n = 26) were single (i.e., unmarried, divorced, or widowed), 19.0 % (n = 8) lived alone, and 66.7 % (n = 28) had a history of cardiovascular disease. Four perspective fac-tors were derived from the Q-sorting results (Table 1). The explained variance by the four perspectives were 36.05 % (eigenvalue = 15.14), 9.52 % (eigenvalue = 4.00), 7.93 % (eigenvalue = 3.33), and 6.29 % (eigenvalue = 2.64). The total explained variance was 59.79 %. All demographic variables were stratified by the four per-spective factors (Table 2).

Consensus about falling and fall prevention

Among the 30 statements employed in this study, Q-statement 10, “Falls may cause bleeding, external injury, bone injury, spinal injury, or brain injury” (2, 2, 3, 3) was rated agree the most among the four perspectives. The values in the parentheses represent the Q-sort values for the four perspectives, indicating how falls could incur bone, spinal, or brain injury could be a crucial belief that affected the participant attitudes toward fall prevention. Q-statement 15, “After experiencing a fall, I might not be able to walk (requiring the support of a wheelchair) and a health care worker might be hired to look after me, thus creating burdens for my family” (3, 3, 3, −2) was rated as agree the most among the first three per-spectives, indicating how the inability to walk incurred burdens to family members could a crucial belief influ-encing most of the participant attitudes toward fall pre-vention. Examining these two Q-statements revealed that the main belief affecting the attitudes of most par-ticipants toward fall prevention was the seriousness of a fall. In addition, Q-statement 5,“I feel that when I am in a bad mood, I am easily distracted and became careless, which might cause me to fall” (−2, 0, −3, −3) was rated as disagree the most among three of the perspectives. Q-statement 27, “I cannot prevent myself from falling because I live upstairs and need to climb the stairs every day” (−3, −2, −1, −1) was rated as disagree among all the perspectives. Therefore, a participant mood and need to climb the stairs at home were not prevailing fall-prevention beliefs among most participants. The Q-sort values and characteristics of the participants associated with the four perspectives are described in Table 3.

Factor 1: Considerate perspective

We named this perspective the Considerate perspective because the participants who adhered to this view recog-nized the fall-related injury and burden to their family; therefore, fall prevention could decrease the burdens they placed on their family. For example, this perspective revealed a strong concern on fall-related life problems such as statement 14 (Q-sort value, Z-score: 3, 1.427).

Older adults with the Considerate perspective believed that fall prevention could decrease the burdens they place on their family (2, 0.885).

Regarding Q-statements, the main distinguishing statements for this perspective compared with the coun-terparts are as follows: “Falls may make me reluctant to move, resulting in physical function degeneration and disability” (2, 1.415); “I believe that I am old now and often react slowly, which might make me accidentally bump into objects and stumble” (1, 0.758); “I believe that fall prevention can give my family members peace of mind” (1, 0.691).

Among the 14 participants loaded significantly on this factor, the average age (82.09 ± 2.40 years) was the youn-gest among the four groups. Most of them were women (13, 92.9 %) (except for one participant). Participants as-sociated with the Considerate group had the highest per-centages of suffering from cardiovascular diseases (13, 92.9 %), being single (10, 71.4 %), and with education (11, 78.6 %) compared with the other groups (Table 2). They were considerate about fall prevention to prevent them from becoming burdens to their family.

Factor 2: Promising perspective

In this perspective, which we named the Promising Perspective, the participants classified into this perspec-tive believed that sudden dizziness, brain disease, and cardiovascular disease could cause physical imbalance, leading to a fall (3, 1.472); falls might cause joint disloca-tions or bone fractures (2, 1.189). However, they also believed that fall prevention contributed to their well-being (2, 1.468); they did not believe that they lack pre-vention knowledge and skills that prevent them from falling (−2, −1.220).

The main distinguishing statements for the partici-pants compared with the counterparts are as follows: “I believe that fall prevention enhances my well-being” (2, 1.468); “I believe that fall prevention can reduce the occurrence of fall accidents” (1, 0.698). These partici-pants believed that they could perform well in facing risks of falling such as “I believe that wet and slippery floors (indoors or in a bathroom) can make me fall over” (−1, −1.113).

Among the 13 participants loaded significantly on this factor, whose average age was 85.38 ± 2.76 years, nine were older than 85 years, which comprised the highest percentage among the four groups. Participants associ-ated with the Promising group had the highest percent-ages of married status (6, 46.2 %) and fall experiences during the last year (6, 46.2 %) compared with the other groups (Table 2). These participants believed that multiple health problems could cause them to fall, but physical degeneration or environmental barriers would not impair their ability to prevent a fall.

(5)

Table 1 The factor scores of participants associated with the four factors (n = 42)

Participant No. Factor 1 (n = 14) Factor 2 (n = 13) Factor 3 (n = 12) Factor 4 (n = 3)

36 0.8286 0.3661 0.0615 −0.0998 18 0.8210 0.2257 0.0710 0.1997 17 0.7638 0.2048 0.2408 0.1817 29 0.7220 0.3595 0.1199 0.1315 13 0.6924 0.2232 0.1726 −0.1621 10 0.6844 0.0856 0.2962 0.2043 06 0.6544 0.0936 0.2130 −0.1571 11 0.5954 −0.1311 0.1254 −0.1458 34 0.5818 0.3785 0.2026 0.5606 42 0.5244 −0.1151 0.2669 0.3938 09 0.5221 0.1080 0.2486 −0.1835 15 0.5178 −0.1154 0.3232 −0.0454 20 0.4957 0.4904 −0.2400 0.1287 26 0.4940 0.3127 0.4415 −0.1275 37 −0.0859 0.7911 −0.1652 0.1758 32 0.0994 0.7614 0.3271 0.0684 38 0.2150 0.7387 0.2646 −0.1430 04 0.0145 0.7278 0.0457 −0.0325 27 0.2394 0.6792 0.3957 0.0446 22 0.3456 0.6496 0.2222 0.1021 39 0.3854 0.6014 0.2162 −0.1183 31 0.3680 0.6014 0.3851 0.1736 25 −0.1350 0.5817 0.1554 −0.0465 05 0.3439 0.5561 −0.1346 −0.1303 08 0.1379 0.5382 0.1975 0.1344 30 0.2957 0.5354 0.4067 0.0003 14 0.0066 0.5121 0.4855 −0.2681 41 0.2793 0.1937 0.7778 −0.0313 33 −0.2669 0.1654 0.7668 0.0508 40 0.2495 0.1305 0.7548 0.1055 07 0.2200 0.1447 0.6756 0.3120 01 0.4394 0.2386 0.6682 0.0099 03 0.4526 0.0412 0.6298 0.0912 35 0.0910 0.4451 0.6098 −0.2217 02 0.4575 0.3047 0.6028 0.3366 16 0.3863 0.1960 0.5695 −0.0615 12 0.4360 0.3026 0.5593 0.2297 24 0.2623 −0.0248 0.5572 0.3214 28 0.4146 0.1774 0.5393 0.4042 23 −0.0781 0.1555 −0.2002 0.7430 19 −0.0564 −0.1956 0.1424 0.6675 21 −0.0968 0.0048 0.2344 0.6406 Eigenvalue 15.14 4.00 3.33 2.64 Explained Variance (%) 36.05 9.52 7.93 6.29

(6)

Factor 3: Adaptable perspective

We named this perspective the Adaptable perspective. The participants who adhered to this perspective felt that health problems resulted in a fall. They believed that sudden dizziness, brain disease, and cardiovascular disease could cause physical imbalance, resulting in a fall (2, 1.121). In addition, they believed that negative health outcomes of falls were very serious: bruises and muscu-lar and skeletal injuries (2, 1.280), as well as joint dislo-cations and bone fractures (2, 1.131). However, they disagreed the most that the following reasons could impair their fall-prevention efforts: They did not want to trouble other people (acting strong) (−3, −1.797); they were old and stubborn (−2, −1.486); they hurried when they heard the doorbell or the phone ringing (−2, −1.305); and their knowledge and skills on fall preven-tion were inadequate (−2, −1.120).

Regarding fall-prevention beliefs, the main distinguish-ing statements for the participants compared with the counterparts are as follows: “I cannot prevent myself from falling because I do not want to trouble other people (acting strong)” (−3, −1.797); and “I believe that fall prevention can make people close to me happy” (−1, −0.775). These participants believed that they faced the risks of falling and would like to use their own know-ledge and skills to manage and receive support from other people.

Among the 12 participants loaded significantly on this factor, the average age was 84.58 ± 3.02 years. Compared with the other groups, participants associated with the Adaptable group had the highest percentages of being male (5, 41.7 %), illiteracy (9, 75.0 %), and living alone (3, 25 %) and the lowest percentage of suffering from cardiovascular diseases (Table 2). These participants were confident in preventing falls and did not believe that fall prevention would benefit their family or other people close to them.

Factor 4: Ignorant perspective

Participants from the Ignorant perspective expressed external locus of control and a low perception of risks of falling, and demonstrated low levels of self-efficacy and efforts on preventing themselves from falling. For ex-ample, they believed that they could not predict when an accidental fall was going to occur (2, 1.309); they could not prevent themselves from falling because they did not want to trouble other people (3, 1.554), and they were clumsy and stumbled easily (2, 1.432). Participants in this group disagreed the most that deteriorating eyesight could cause them to fall (−3, −1.322), and they did not believe that the following situations were serious: After experien-cing a fall, they would experience physical function degen-eration and disability because of their reluctance to move (−2, −1.309); following a fall, if they could not walk (or

Table 2 Socio-demographic characteristics with the four factors

Variables F1. Considerate (n = 14) F2. Promising (n = 13) F3. Adaptable (n = 12) F4. Ignorant (n = 3) Age (y, Mean ± SD) 82.09 ± 2.40 (80− 88) 85.38 ± 2.76 (80− 91) 84.58 ± 3.02 (81− 89) 84.67 ± 6.35 (81− 92) Gender Female 13 (92.9 %) 10 (76.9 %) 7 (58.3 %) 2 (66.7 %) Male 1 (7.1 %) 3 (23.1 %) 5 (41.7 %) 1 (33.3 %) Education Illiteracy 3 (21.4 %) 7 (53.8 %) 9 (75.0 %) 1 (33.3 %) Primary school 9 (64.3 %) 4 (30.8 %) 2 (16.7 %) 1 (33.3 %)

Middle school or higher 2 (14.3 %) 2 (15.4 %) 1 (8.3 %) 1 (33.3 %)

Marital status Single 10 (71.4 %) 7 (53.8 %) 7 (58.3 %) 2 (66.7 %) Married 4 (28.6 %) 6 (46.2 %) 5 (41.7 %) 1 (33.3 %) Living status Solitary 3 (21.4 %) 2 (15.4 %) 3 (25.0 %) 0 (0 %) Non-solitary 11 (78.6 %) 11 (84.6 %) 9 (75.0 %) 3 (100 %)

Fall experience (last year)

No 11 (78.6 %) 7 (53.8 %) 9 (75.0 %) 2 (66.7 %)

Yes 3 (21.4 %) 6 (46.2 %) 3 (25.0 %) 1 (33.3 %)

Cardiovascular disease

No 1 (7.1 %) 3 (23.1 %) 8 (66.7 %) 0 (0 %)

(7)

required the support of a wheelchair), then they might need a health care worker to look after them, thereby incurring a burden on their family (−2, −1.224). Addition-ally, they did not believe that walking in dimly lit areas would cause them to fall (−2, −1.127).

The main distinguishing statements for the partici-pants with this perspective compared with the

counterpart are as follows: “I cannot prevent myself from falling because I do not want to trouble other people (acting strong)” (3, 1.554); “I cannot prevent myself from falling because I am clumsy and stumble easily” (2, 1.432); “I cannot prevent myself from fall-ing because I cannot foresee when an accidental fall is going to occur” (2, 1.309); “Falls may make me

Table 3 List of Q-statements and factor Q-Sort values associated with the four Perspectives

Q-Statement F1. Considerate F2. Promising F3. Adaptable F4. Ignorant 01. I believe that I am old now and often react slowly, which might make me accidentally bump

into objects and stumble

1** 0 0 −1

02. I believe that sudden dizziness, brain disease, and cardiovascular disease can cause a loss of

physical imbalance, which could lead to a fall −3**

3 2 1

03. I believe degenerative joint diseases could make me fall −2 −2 1 1

04. I believe that deteriorating eyesight could make me fall 0** −3 1** −3

05. I feel that when I am in a bad mood, I am easily distracted and became careless, which might cause me to fall

−2 0** −3 −3

06. I believe that wet and slippery floors (indoors or in a bathroom) can make me fall over 1 −1** 1 1

07. I believe that rough roads and road obstacles can make me fall −1 −1 −1 0

08. I believe that going out at night and insufficient light can make me fall −1 −3 −1 −1

09. Falls may cause bruise and sprain 1 0 2 1

10 Falls may cause bleeding, external injury, bone injury, spinal injury, or brain injury 2 2 3 3

11. Falls may cause joint dislocation and bone fracture. 1** 2 2 −1**

12. Falls may make me reluctant to move, resulting in physical function degeneration and disability 2** 1 1 −2**

13. After experiencing a fall, I might be afraid of experiencing another fall 0 1** 0 0

14. After experiencing a fall, I might encounter life problems such as physical pain, discomfort, and inconvenience

3 1 1 −1**

15. After experiencing a fall, I might not be able to walk (requiring the support of a wheelchair) and a health care worker might be hired to look after me, thus creating burdens for my family

3 3 3 −2**

16. I believe that fall prevention can reduce the occurrence of fall accidents 0 1** 0 0

17. I believe that fall prevention enhances my well-being 0 2** 0 0

18. I believe that fall prevention can give my family members peace of mind 1** 0 −1 0

19. I believe that fall preventive can reduce my family of burdens 2 0 −1 1

20. I believe that fall prevention can make people close to me happy 1 0 −1** 1

21. I cannot prevent myself from falling because I am clumsy and stumble easily −1 −1 0** 2**

22 I cannot prevent myself from falling because I am old and stubborn −2 0 −2 −1

23. I cannot prevent myself from falling because I do not want to trouble other people (acting strong) 0 0 −3** 3** 24. I cannot prevent myself from falling because of hurriedness when hearing doorbell or phone ring −1 1 −2 0 25. I cannot prevent myself from falling because I cannot foresee when an accidental fall is going to

occur (i.e., accidents happen because other people do not pay attention) −1 −1

0 2**

26. I cannot prevent myself from falling because I do not have sufficient prevention knowledge and skills 0 −2 −2 1 27. I cannot prevent myself from falling because I live upstairs and need to climb the stairs everyday −3 −2 −1 −1 28. I cannot prevent myself from falling because I am not aware arcades or rough roads 0 −1 0 0

29. I cannot prevent myself from falling because of dim light 0 −1 0 −2

30. I cannot prevent myself from falling because of few installation of handrails in bathroom, stairs and infrastructures

−1 1 1 0

Note:1. The statements were written down in plain language to make the less-educated older adults to comprehend

2. Factor Q-sort values were identified by Q-sort factor analysis and indicated that the statements ranked from +3 (most agree) to -3 (most disagree) 3.** Significance of Distinguishing Statements P < 0.01

(8)

reluctant to move, resulting in physical function de-generation and disability” (−2, −1.309); “After experi-encing a fall, I might not be able to walk (requiring the support of a wheelchair), and a health care worker might be hired to look after me, thus creating burdens for my family” (−2, −1.224); and “After ex-periencing a fall, I might encounter life problems such as physical pain, discomfort, and inconvenience” (−1, −0.490).

Only three participants, including the oldest inter-viewee in this study (92 years old), were loaded to the Ignorant perspective. All of the participants were non-solitary and with cardiovascular diseases (Table 2). These participants demonstrated the attitude of ignorance regarding the risks and negative outcomes of falling. In addition, they believed that fall-prevention barriers comprised of clumsiness, not wanting to trouble other people, and an accidental fall that could not be prevented.

Discussion

In this study, the Q methodology was adopted to analyze various fall-prevention beliefs among community-dwelling older adults aged 80 years and older, and to elucidate the four distinct perspectives. The main differ-ences between the four perspectives were related to the perceived severity, benefits, and barriers.

Community-dwelling older adults, the target popula-tion in the study, were healthier, more independent, and more moveable compared with their institutionalized counterparts [24]. The main consensus among them was that they recognized that fall-related injuries were serious and might cause disability, multiple health complications, and place burdens on their family; these are consistent with the prior findings [1, 3, 25]. However, they did not believe that bad mood, such as depressed status and environmental risk factors, were barriers that prevent themselves from falling; this result was not con-sistent with the prior evidence [26, 27].

Compared with the counterparts with different perspectives, the participants with the Ignorant perspec-tive demonstrated a low level of perception on severity. They tended to underestimate the risks and outcomes of falling. They were less moveable but would like to act strong, indicating a low level of perception on severity. They believed that they were clumsy and stumbled easily, and an accidental fall was not predictable. More-over, they did not believe that after experiencing a fall, they would face negative health outcomes and inability and become a burden to their family. Compared with the counterparts with various perspectives, they perceived a high level of barriers to execute fall-prevention activities. Inadequate beliefs may make them more likely to fall in the near future; fall-prevention

practitioners, family, and caregivers should work to-gether to provide educational opportunities, environ-mental safety check, and protective devices [28, 29]. The participants with the Ignorant perspective should be en-couraged to participate in fall-prevention activities and regard it as a high priority. Fall-prevention practitioners are suggested to motivate elderly adults to continue par-ticipating in preventive activities, modify their unfavor-able beliefs, and provide individualized supports.

The characteristics of the participants with the Con-siderate perspective were that most of them were women, had cardiovascular diseases, and were tied to the family. A distinct belief of these participants was that they were concerned about family and would not like to place burdens on their family. They believed that the outcomes of falling, such as daily life inconvenience and physical injury, were very serious, and they were concerned that falling would cause them to develop a disability, making them a burden to their family; hence, these considerations motivated them to prevent falling. The implications of enhancing participation in fall-prevention program for these considerate participants were to continue emphasizing that risk factors were preventable and the benefits of participation, raising their level of self-efficacy [14, 17], and encouraging their family to provide social supports when they participate in fall-prevention activities.

Participants with the Promising perspective expressed similar and distinct beliefs with those with the Considerate perspective. They both believed the susceptibility of falling but in different dimensions (Table 3), and they shared similar beliefs on the se-verity of fall-related injuries. Regarding the benefits of fall prevention, they were more likely to believe that it was advantageous for themselves, not for their fam-ily or the people close to them. They were more ac-tive and independent to participate in fall-prevention activities. Their characteristics were as follows: they exhibited the highest average age, had multiple health problems, and were willing to take actions to enhance their personal well-being (Table 3). The implications of encouraging them to continue participating in fall-prevention programs were to provide reminders and incentives for participation, which are appropriate strategies of cueing them to take action.

The participants with the Adaptable perspective perceived their susceptibility to the severity of falling. The characteristics of these elderly participants com-pared with the other counterparts were as follows: they were healthier, more independent, and had higher levels of self-efficacy to overcome barriers, allowing them to receive support from people close to them. Compared with the other counterparts, they did not believe that the benefits of fall prevention were to give

(9)

their family members peace of mind, reduce family burdens, and make the people close to them happy. They perceived low barrier levels to engage in fall-prevention activities. Fall-fall-prevention practitioners sug-gested asking them to be the demonstrators during the implementation of fall-prevention activities and role models on fall prevention [30].

The strength of our study is that we conducted a pilot test to modify the Q-statements and made it more readable to the participants. We provided a large paperboard to represent each statement and advice on how to execute Q-sorting correctly. Thus, we successfully classified all participants into four factors with satisfactory loading scores. The total explained variance was 59.79 % in this study, although some researchers used the guideline of retaining enough factors to account for more than 75 %– 90 % of the variance [31, 32]; others indicated that accounting for 50 % of the variance was acceptable [33].

We used purposive sampling, inviting representa-tives from different genders, education levels, marital status, living status, fall experiences, and cardiovascu-lar diseases with different perspectives on fall preven-tion. Consequently, we had diverse participants with the same characteristics of living in communities, which were likely to produce four distinct perspec-tives on fall prevention. However, we may not have gathered all the existing beliefs of community-dwelling older adults toward fall prevention. All par-ticipants lived in the same city; however, older adults from other geographical areas may differ over health beliefs toward fall prevention. The next step would be to conduct a Q-methodological survey among a larger sample of older adults including those who are institutionalized.

Conclusion

This study incorporated both the theoretical concepts and the Q methodology approach into the study design and provided approaches to identifying four distinct perspectives of community-dwelling older adults on fall prevention. The older adults in the Ignorant perspective appeared to be a preferred sub-population to be recruited for fall-prevention activities. According to which perspective the older adult partici-pants of fall-prevention activities belong, fall-prevention practitioners, family members, and caregivers should be aware of what kind of approach may be required to encourage them to respond. Critical reflections on elderly adult own perspectives and interpretations of the respon-sive approach required in a certain situation are a key element for appropriating fall-prevention support. The study highlights that fall-prevention programs are suggested to be designed in the context of physical,

psychological, and familiar demands derived from the various beliefs of older adults to improve their participa-tion in and adherence to program activities.

Additional file

Additional file 1: Q-sorting data. (DOCX 14 kb)

Abbreviation

HBM, health belief model Acknowledgments

We thank the participants in the study for their time and effort. This article was subsidized by the National Taiwan Normal University (NTNU), Taiwan, ROC.

Funding No funding.

Authors’ contributions

SFC and JLG contributed to the conception and design of this study. JYL assisted the management of this research. Analyses of data were carried out by SFC, SFH, and LTL. JLG interpreted the data and SFC drafted the manuscript with MCW. Other authors reviewed the manuscript and provided further contributions and suggestions. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests. Consent for publication

Not applicable.

Ethics approval and consent to participate

This study was approved by the Institutional Review Board of Tri-Service General Hospital, Taiwan (TSGHIRB2-103-05-122). Informed consents were obtained from all participants in this study. The participants were permitted to withdraw from the study at any point if they wished to do so. The Q-sorts were identified only by numbers; therefore, there was a link between the participant identity and the information gathered, thus ensuring anonymity. Participants who completed the Q-sorts received a small gift for their participation.

Author details

1

Department of Senior Citizen Service Management, Ching Kuo Institute of Management & Health, No.336, Fu Hsin Rd., Keelung 20301, Taiwan.

2

Department of Health Promotion and Health Education, National Taiwan Normal University, No.162, Sec. 1, He-ping East Road, Taipei 10610, Taiwan.

3

Department of Geriatric Care, Mackay Junior College of Medicine, Nursing, and Management, No.92, Shengjing Rd., Taipei 11260, Taiwan.4Nursing

Department, University of Kang Ning, No.137, Lane 75, Sec. 3, Kangning Rd., Neihu District, Taipei City 11486, Taiwan.5Department of Medical Record,

Tri-Service General Hospital, National Defense Medical Center, No.325,Sec.2,Chenggong Rd., Neihu District, Taipei City 11490, Taiwan. Received: 27 October 2015 Accepted: 10 June 2016

References

1. Rubenstein LZ. Falls in older people: epidemiology, risk perspectives and strategies for prevention. Age Ageing. 2006;35 Suppl 2:ii37–41.

2. World Health Organization. WHO Global Report on Falls Prevention in Older Age. 2007. http://www.who.int/ageing/publications/Falls_prevention7March.pdf. Accessed 24 June 2015.

3. Fletcher PC, Berg K, Dalby DM, Hirdes JP. Risk perspectives for falling among community-based seniors. J Patient Saf. 2009;5(2):61–6.

4. Gillespie LD, Robertson MC, Gillespie WJ, Sherrington C, Gates S, Clemson LM, et al. Interventions for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2012;12(9):CD007146.

(10)

5. Zijlstra GA, van Haastregt JC, van Rossum E, van Eijk JT, Yardley L, Kempen GI. Interventions to reduce fear of falling in community-living older people: a systematic review. J Am Geriatr Soc. 2007;55(4):603–15.

6. Masud T, Morris RO. Epidemiology of falls. Age Ageing. 2001; 30(S4):3–7.

7. Gassmann KG, Rupprecht R, Freiberger E. Predictors for occasional and recurrent falls in community-dwelling older people. Z Gerontol Geriatr. 2009;42(1):3–10.

8. Church J, Goodall S, Norman R, Haas M. The cost-effectiveness of falls prevention interventions for older community-dwelling Australians. Aust N Z J Public Health. 2012;36(3):241–48.

9. Bureau of Health Promotion. A program about health promotion for elders (2009-2012). 2009. http://www.hpa.gov.tw/BHPNet/Portal/File/

ThemeDocFile/201110210145126095/980327%e8%80%81%e4%ba %ba%e8%a8%88%e7%95%ab(%e6%a0%b8%e5%ae%9a%e7%89%88).pdf. Accessed 14 June 2015.

10. Rogers ME, Rogers NL, Takeshima N, Islam MM. Methods to assess and improvethe physical parameters associated with fall risk in older adults. Prev Med. 2003;36(3):255–64.

11. Hallal PC, Andersen LB, Bull FC, Guthold R, Haskell W, Ekelund U. Global physical activity levels: surveillance progress, pitfalls, and prospects. Lancet. 2012;380(9838):247–57.

12. Yardley L, Donovan-Hall M, Francis K, Todd C. Older people’s views of advice about falls prevention: a qualitative study. Health Educ Res. 2006; 21(4):508–17.

13. Yardley L, Donovan-Hall M, Francis K, Todd C. Attitudes and beliefs that predict older people’s intention to undertake strength and balance training. J Gerontol B Psychol Sci Soc Sci. 2007;62(2):119–25.

14. Kuroda Y, Sato Y, Ishizaka Y, Yamakado M, Yamaguchi N. Exercise motivation, self-efficacy, and enjoyment as indicators of adult exercise behavior among the transtheoretical model stages. Glob Health Promot. 2012;19(1):14–22.

15. Simons J. An introduction to Q methodology. Nurse Res. 2013; 20(3):28–32.

16. Feng CZ, Jia FQ. Application of Q-methodology in Clinical Studies (Review). Chinese Mental Health J. 2010;24(1):59–63.

17. Huang CM, Hung WS, Lai JN, Kao YH, Wang CL and Guo JL. Maternity staff perspectives regarding resource demands of breastfeeding supportive practices in accordance with the Baby-Friendly Hospital Initiative accreditation: a Q methodology approach. J Adv Nurs. 2016; 72(6):1301-12.

18. Carpenter CJ. A meta-analysis of the effectiveness of health belief model variables in predicting behavior. Health Commun. 2010;25(8): 661–69.

19. Malosh R, Ohmit SE, Petrie JG, Thompson MG, Aiello AE, Monto AS. Perspectives associated with influenza vaccine receipt in community dwelling adults and their children. Vaccine. 2014;32(16):1841–47. 20. Shabila NP, Al-Tawil NG, Al-Hadithi TS, Sondorp E. Using Q-methodology to

explore people’s health seeking behavior and perception of the quality of primary care services. BMC Public Health. 2014;14:2.

21. Stainton RR. Q methodology. In: Smith J, Harré R, Lungenhove L, editors. Rethinking Methods in Psychology. London: Sage; 1995.

22. McKeown B, Thomas D. Q methodology. Newbury Park: Sage; 1988. 23. Schinger MJ. Cues on Q-technique. J Advert Res. 1969;9(3):53–60. 24. Damián J, Pastor-Barriuso R, Valderrama-Gama E, de Pedro-Cuesta J. Factors

associated with falls among older adults living in institutions. BMC Geriatr. 2013;13:6.

25. Chen MF, Lin CL, Tsai CT, Chu SF, Hung SL, Chen MF, et al. Risk Perspectives Related to Falling among the Home-Dwelling Elderly in Taiwan: A Systematic Review. Taiwan J Public Health. 2013; 32(5):403–23.

26. Kao S, Wang YC, Tzeng YM, Liang CK, Lin FG. Interactive effect between depression and chronic medical conditions on fall risk in community-dwelling elders. Int Psychogeriatr. 2012;24(9):1409–18.

27. Nyman SR, Ballinger C, Phillips JE, Newton R. Characteristics of outdoor falls among older people: a qualitative study. BMC Geriatr. 2013;13:125.

28. Kim WJ, Chang M, An DH. Effects of a Community-based Fall Prevention Exercise Program on Activity Participation. J Phys Ther Sci.

2014;26(5):651–53.

29. MacCulloch PA, Gardner T, Bonner A. Comprehensive fall prevention programs across settings: a review of the literature. Geriatr Nurs. 2007;28(5):306–11.

30. Kramer BJ, Vivrette RL, Rubenstein LZ. Engaging community-based organizations in fall prevention education. Gerontol Geriatr Educ. 2011;32(2): 182–96.

31. Pett M, Lackey N, Sullivan J. Making Sense of Factor Analysis. Thousand Oaks: Sage; 2003.

32. Garson D. Factor Analysis. 2010. http://www.statisticalassociates.com/ factoranalysis.htm. Accessed 05 Mar 2013.

33. Beavers AS, Lounsbury JW, Richards JK, Huck SW, Skolits GJ, Esquivel SL. Practical considerations for using exploratory factor analysis in educational research. Pract Assess Res Eval. 2013;18(6):1–13.

We accept pre-submission inquiries

Our selector tool helps you to find the most relevant journal

We provide round the clock customer support

Convenient online submission

Thorough peer review

Inclusion in PubMed and all major indexing services

Maximum visibility for your research Submit your manuscript at

www.biomedcentral.com/submit

Submit your next manuscript to BioMed Central

and we will help you at every step:

數據

Fig. 1 Forced-choice frequency distribution in Q-sort
Table 1 The factor scores of participants associated with the four factors ( n = 42)
Table 2 Socio-demographic characteristics with the four factors
Table 3 List of Q-statements and factor Q-Sort values associated with the four Perspectives

參考文獻

相關文件

The main advantages of working with continuous designs are (i) the same method- ology can be essentially used to find continuous optimal designs for all design criteria and

Strands (or learning dimensions) are categories of mathematical knowledge and concepts for organizing the curriculum. Their main function is to organize mathematical

Contact information of NGOs or school services that provide mental health support. News articles/video clips relating to this

prevent cruelty and alleviate suffering, and through education to cultivate a deep respect for life in the community so that all living creatures may live.. together

• Copy a value from the right-hand side (value or expression) to the space indicated by the variable in the left-hand side.. • You cannot write codes like 1 = x because 1 cannot

/** Class invariant: A Person always has a date of birth, and if the Person has a date of death, then the date of death is equal to or later than the date of birth. To be

The min-max and the max-min k-split problem are defined similarly except that the objectives are to minimize the maximum subgraph, and to maximize the minimum subgraph respectively..

implementation of public safety for the buildings under comprehensive reviews on fire prevention and evacuation and compares with related literature to establish the check items