Abstract
Home hazards are associated with falls among older people living in the community. However, evaluating home hazards is a complex process as environmental factors vary according to geography, culture, and architectural design. As a result, many health practitioners commonly use nonstandardized assessment methods that may lead to inaccurate findings. Thus, the aim of this systematic review was to identify standardized instruments for evaluating home hazards related to falls and evaluate the clinimetric properties of these instruments for use by health practitioners. A systematic search was conducted in the Medline, CINAHL, AgeLine, Web of Science databases, and the University of Sydney Library CrossSearch Engine. Study screening, assessment, and quality ratings were conducted independently. Thirty-six studies were identified describing 19 instruments and three assessment techniques. The clinimetric properties varied between instruments. The Home Falls and Accidents Screening Tool, Home Safety Self-Assessment Tool, In-Home Occupational Performance Evaluation, and Westmead Home Safety Assessment were the instruments with high potential for evaluating home hazards associated with falls. Health practitioners can choose the most appropriate instruments for their practice, as a range of standardized instruments with established clinimetric properties are available.
Keywords
By the age of 65 years, over a third of older individuals report at least one fall in the previous year, with half of them reporting frequent falls (World Health Organization, 2007). The impact of falls can be severe including the psychological impact of fear of falling, cost of health care, development of physical and functional impairments, increased risk of developing other medical conditions such as fracture and stroke, and even death (Boye et al., 2012; Frith & Davison, 2013; Siracuse et al., 2012). Over time, researchers have tried to reduce the frequency of falls among older people living in the community by investigating factors contributing to the risk of falls and developing interventions and prevention programs addressing those risk factors. Home hazards are accepted as one of the contributing factor to the risk of falls (Clemson, Mackenzie, Ballinger, Close, & Cumming, 2008; Gillespie et al., 2012; Lord, Menz, & Sherrington, 2006; Tse, 2005).
Studies have shown that many falls among older people occur in the home (Milat et al., 2011; Muangpaisan et al., 2015; Rizawati & Mas Ayu, 2008). However, the association between environmental hazards and falls is not fully understood. A study by Lord, Menz, and Sherrington (2006) showed home hazards were not associated with an increasing risk of falls among older people. This finding was supported by other studies in other countries (Chin, Wang, Ong, Lee, & Kong, 2013; Letts et al., 2010; Pattaramongkolrit, Sindhu, Thosigha, & Somboontanot, 2013; Rizawati & Mas Ayu, 2008; Stalenhoef, Diederiks, Knottnerus, Witte, & Crebolder, 1998). However, other studies report that home hazards are significantly associated with falls (Carter, Campbell, Sanson-Fisher, Redman, & Gillespie, 1997; Sophonratanapokin, Sawangdee, & Soonthorndhada, 2012). A study by Northridge, Nevitt, Kesley, and Link (1995) found that active older people with a higher number of hazards in their home fell more. Home assessment and modifications to reduce the number of hazards in the homes of older people have been shown to be effective in reducing the number of falls, and the risk of falls, either as a single intervention (Clemson et al., 2008) or part of a multifactorial intervention (Chase, Mann, Wasek, & Arbesman, 2012; Gillespie et al., 2012; Lord et al., 2006).
The measurement of home hazards is fundamental to investigating the association of home hazards with falls. It has been argued that investigating home hazards by observing the physical features of the home environment alone may be inappropriate, as home hazards are better viewed as a product of the interaction between an individual and their home environment when undertaking functional activities (Gitlin, 2003). Therefore, the difficulty in functioning safely in the home is what is considered hazardous rather than only the physical structure of the house. Many of the studies that found that home hazards were not a significant factor for falls (Letts et al., 2010; Lord et al., 2006) were conducted by evaluating the physical features of the home environment alone.
A systematic review by Barras (2005) evaluating the effectiveness of home assessments showed that the majority of studies evaluating home hazards used nonstandardized instruments such as generic instruments developed by the authors. Using nonstandardized instruments or instruments without established psychometric properties may result in inaccurate or misleading findings. Such instruments may also be inappropriate for the population under study and not measure what they purport to measure (Stapleton & McBrearty, 2009). The tendency to use nonstandardized instruments may be related to the absence of a universal home hazards instrument used in standard health-care practice (Hill, Smith, & Schwartz, 2001). Furthermore, standardized instruments may be viewed by practitioners as having limited clinical value and being too narrow by focusing on one type of hazard only such as lighting for low vision or on a specific health condition such as dementia. Practitioners may also have a lack of exposure to and knowledge of available instruments and be unfamiliar with available standardized instruments and how to use them (Hill et al., 2001; Stapleton & McBrearty, 2009). Therefore, practitioners may find nonstandardized assessments more convenient to use as they are readily available and accepted in local practice.
Clinimetrics refers to the combination of psychometric properties and clinical utility of a standardized instrument to provide meaningful and valuable information for decision-making and intervention planning (Djikers, 2003). Psychometric properties focus on the evidence of validity and reliability of an instrument established using robust research study designs (Cohen et al., 2008). According to Law and MacDermid (2014), types of validity include descriptive, predictive, evaluative, content, criterion-related (including concurrent), and construct (including convergent and discriminant) validity. Types of reliability include internal consistency, inter-rater, and test–retest reliability. Complementing psychometric properties, clinical utility focuses on the appropriateness, accessibility, practicability, and acceptability of an instrument in terms of ease of use, duration, training requirement, format of the instrument, and meaningful interpretation on the data gathered by the instrument (Smart, 2006). Acceptable instruments are characterized by the ease of administration, a short administration and completion time, minimal training for the administrator, low cost, and having a small number of items yet still able to capture the desired information (Stapleton & McBrearty, 2009). Psychometric properties and clinical utility are important elements to consider when choosing an instrument for use in clinical practice.
Currently, there is no comprehensive summary of the research literature to guide the selection of instruments most suited to evaluate home hazards in relation to falls risk. While Ainsworth and de Jonge (2011) have suggested several instruments suitable for assessing the home, there is limited discussion in relation to their psychometric properties and clinical utility. Reviews conducted by Fabre, Ellis, Kosma, and Wood (2010) and Tzingounakis (2012) suggest the Westmead Safety Home Assessment (WeHSA) and the Home Falls and Accidents Screening Tool (HOME FAST) as suitable instruments for measuring fall-related home hazards. However, neither review included other instruments which may be relevant to fall prevention practice.
In summary, service providers need to consider the psychometric evidence and the clinical utility of an instrument when choosing one for practice. Moreover, the instruments should incorporate the person–environment interaction by evaluating functional activities. The instruments should have multiple purposes as an evaluation and an outcome measure. This systematic review aimed to identify instruments measuring home hazards that can be used with older people living in the community at risk of falls and determine their clinimetric properties.
Material and Method
Study Identification
The identification of instruments was based on a systematic search of the literature for relevant studies (Wales, Clemson, Lannin, & Cameron, 2012). A systematic search was conducted in electronic databases including Medline, CINAHL, AgeLine, and Web of Science. An additional search was conducted through The University of Sydney Library’s CrossSearch Engine to ensure that relevant studies were unlikely to be missed. Relevant review studies were read to identify relevant key words for use in the search strategies (Clemson et al., 2008; Terwee, Jansma, Riphagen, & de Vet, 2009; Tse, 2005). Using the person, exposure, comparison, outcome (PECO) format (Prasad, 2013), the databases were searched to identify articles published in academic journals containing the following search terms: Person: “older,” “aged,” “elderly,” “senior.” Exposure: “home safety,” “home hazards,” “home modification,” “environment modification,” “housing for the elderly,” “home assessment,” “home evaluation,” “home intervention,” “home visit,” “accident,” “home.” Comparison: reproducibility, methods, validity, reliability, “internal consistency,” “coefficient of variation,” “observer variation,” psychometrics, precisions, discriminative. Outcome: falls, fall prevention, fall intervention, accidental fall, risk of fall.
The search strategies used in each database varied depending on the availability of Medical Subject Headings (MeSH) terms, the ability to combine terms using Boolean operators and use of truncations. The final search strategy was tailored to each database and was designed to maximize the retrieval of relevant studies. As well, the reference lists of eligible studies were scanned to identify additional relevant studies. The “cited by” option in Google Scholar was also used for citation tracking to identify relevant studies cited in the eligible studies identified from the database searches (Wright, Golder, & Rodriguez-Lopez, 2014). The initial searches were conducted in August 2014. Top-up searches were conducted in May 2016 to ensure that more recently published studies and instruments were included.
Study Eligibility Criteria
Each article retrieved from the searches was screened for eligibility. To be included, studies had to (i) involve community-dwelling older people, (ii) include an instrument or evaluation method relevant to fall prevention, (iii) focus specifically on the assessment of home hazards related to risk of falls, (iv) be relevant to health rehabilitation practice, and (v) investigate the psychometric properties and clinical utility of the instrument. Studies were excluded if they were (i) not published in English; (ii) conducted in hospitals, clinics, or residential care environments; (iii) books, conference proceedings, dissertations, or theses; and (iv) not the primary study.
Study Selection
Duplicate studies were removed prior to the screening process. Two authors (MHR with either LM or ML) independently screened each study by title and abstract for eligibility. Assessment of the full text article for each study was then conducted independently by two authors for those studies retained after the screening process. Any disagreements in relation to study inclusion were resolved through discussions among the authors until consensus was achieved.
Data Extraction and Analysis
Relevant data were first extracted from each study. These data included the study objective, study design, instrument investigated, number and characteristics of raters (for reliability studies), number and characteristics of participants, country of the study, and results. The data for each study were then summarized in tables.
Assessment of Study Quality
Quality appraisal for clinical measurement research reports evaluation form
The form was used to assess the quality of each study (Law & MacDermid, 2014). The form was developed by rehabilitation experts from occupational therapy and physiotherapy backgrounds and has excellent inter-rater reliability (Flamand, Massé-Alarie, & Schneider, 2013; Forhan, Vrkljan, & MacDermid, 2010; MacDermid et al., 2009; Rouleau, Faber, & MacDermid, 2010; Roy, Desmeules, & MacDermid, 2011; Roy, MacDermid, & Woodhouse, 2009, 2010). It consists of a 12-item checklist evaluating the quality of the research question, design, measurements, analyses, and the recommendations from the study. Each item on the form is assigned a score of 0–2, with 2 representing best practice, 1 representing acceptable but suboptimal practice, and 0 representing substantially inadequate or inappropriate practice. A total score is calculated and then converted to a percentage. The quality assessments were conducted independently by two authors with disagreements resolved using consensus. If needed, a third author was consulted to determine the final rating.
The Terwee Checklist
The Terwee Checklist was used to determine the quality of the psychometric properties of each instrument (Terwee et al., 2007). For that purpose, the studies were grouped based on the instrument described and a summary of the psychometric properties of each instrument was then prepared according to eight categories, namely, (i) content validity, (ii) internal consistency, (iii) criterion validity, (iv) construct validity, (v) reproducibility (agreement and reliability), (vi) responsiveness, (vii) floor or ceiling effect, and (viii) interpretability. Each instrument was then assessed against quality criteria and rated according to four categories: positive (having desired outcome with robust methodology), intermediate (having desired outcome with less robust methodology), poor (having undesired outcome or having poor methodology), or no information available. Where two or more studies investigated the same property, the highest quality score for that item was recorded.
Results
Our comprehensive search for all articles published from the year 1971 yielded 1,335 articles combined. The initial preselection agreement rate was 68.8% (33/48), and the selected articles were resolved by discussion between three authors (MHR, LM, and ML). Ultimately, 36 articles were selected for data extraction (Figure 1). Excluded articles with reason of exclusion were listed in the Appendix.

Study identification process.
Study Inclusion and Characteristics
Thirty-six studies were included in the review (Figure 1). Key characteristics of the included studies are provided in Table 1 according to the Garrad’s (2014) matrix method. Publication year ranged from 1995 to 2015. Nineteen instruments—COUGAR, the Home Environmental Assessment Protocol (HEAP), the HOME FAST, the Home Safety Self-Assessment Tool (HSSAT), the In-Home Occupational Performance Evaluation (I-HOPE), the Safety Assessment of Function and the Environment for Rehabilitation–Health Outcome Measurement and Evaluation (SAFER-HOME), the Enabler, The Safe Living Guide, the Usability in My Home (UIMH), the WeHSA, the Home Environment Survey (HES), the Home-Screen Scale (HSS), the Safety Housecheck, Assessment of Home Hazards, the Ritchey Home Assessment, the Home Safety Checklist of Indoor Fall Risk, the Home Assessment Profile (HAP), the HEROS Environmental Safety Check, and the Comprehensive Assessment and Solution Process for Aging Residents (CASPAR)—and three alternative assessment techniques (photography, video, and robot-assisted video) were identified from the 36 studies. Ten instruments were developed by occupational therapists (COUGAR, HEAP, HOME FAST, HSSAT, I-HOPE, SAFER-HOME, Enabler, The Safe Living Guide, UIMH, WeHSA). Three instruments were developed by nurses (HES, HSS, Safety Housecheck). Three instruments were developed by doctors (Assessment of Home Hazards, the Ritchey Home Assessment, the Home Safety Checklist of Indoor Fall Risk), with one each by a physiotherapist (HAP), a public health officer (HEROS Environmental Safety Check), and an architect (CASPAR). Most studies were conducted in North America (n = 18) followed by Australia (n = 10) and Europe (n = 7). Only one study was conducted in Asia. The quality score of all included studies ranged from 14% to 86% (Table 2).
Study Characteristics.
Note. CASPAR = Comprehensive Assessment and Solution Process for Aging Residents; CVI = Content Validity Index; UIMH = Usability in My Home; WeHSA = Westmead Home Safety Assessment; HAP = Home Assessment Profile; HEAP = Home Environmental Assessment Protocol; HES = Home Environment Survey ; HOME FAST = Home Falls and Accidents Screening Tool; HSS = Home Screen Scale; HSSAT = Home Safety Self-Assessment Tool; I-CVI = Item Content Validity Index; ICC = Intraclass Correlation Coefficient; I-HOPE = In-Home Occupational Performance Evaluation; k = kappa; RR = Relative Risk; SAFER-HOME = Safety Assessment of Function and the Environment for Rehabilitation–Health Outcome Measurement and Evaluation; SRM = standardized response mean.
Quality Rating of Each Study Using the Quality Appraisal for Clinical Measurement Research Reports Evaluation Form.
aItem 1: Relevant background on psychometric properties and research question; Item 2: inclusion/exclusion criteria; Item 3: specific psychometric hypothesis; Item 4: appropriate scope of psychometric properties; Item 5: appropriate sample size; Item 6: appropriate retention/follow-up; Item 7: specific descriptions of the measures (administration, scoring, interpretation procedures); Item 8: standardization of methods; Item 9: data presented for each hypothesis or purpose; Item 10: appropriate statistical tests; Item 11: appropriate secondary analyses; and Item 12: conclusions/clinical recommendations supported by analyses and results. CASPAR = Comprehensive Assessment and Solution Process for Aging Residents; UIMH = Usability in My Home; WeHSA= Westmead Home Safety Assessment; HAP = Home Assessment Profile; HEAP = Home Environmental Assessment Protocol; HES = Home Environment Survey ; HOME FAST = Home Falls and Accidents Screening Tool; HSS = Home Screen Scale; HSSAT = Home Safety Self-Assessment Tool; I-SAFER-HOME = Safety Assessment of Function and the Environment for Rehabilitation–Health Outcome Measurement and Evaluation.
Psychometric Properties of Each Instrument
The psychometric properties of each instrument are presented in Table 3. All instruments had evidence of at least one type of validity or reliability. Five studies conducted predictive validity testing that is considered a key property in predicting falls risk. From these five studies, two studies (Chandler, Duncan, Weiner, & Studenski, 2001; Mackenzie, Byles, & D’Este, 2009) showed positive results on the HOME FAST and the HAP and two studies (Iwarsson et al., 2009; Northridge, Nevitt, Kesley, & Link, 1995) showed mixed results (UIMH, Enabler, Assessments of Home Hazards), while one study (Stalenhoef et al., 1998) showed a negative ability of the Home Safety Checklist of Indoor Fall Risk to predict falls. A summary of the total number of psychometric evidence is also provided in Table 3.
Ranking of the Instruments by Psychometric Properties based on the Terwee Checklist Outcome.
Note. In most, ratings are based on the original instrument, but certain instruments have additional version investigated, where the additional version was mark according to the following: a = CASPAR paper-and-pencil version; b = CASPAR televideo; c = COUGAR version 1.0; d = COUGAR version 2.0; e = COUGAR original paper-and-pencil; f = photography; g = HES self-checklist; h = robotic video; i = HOME FAST self-report version; j = visually impaired older people; k = enabler-reduced version; l = WeHSA short form. N/A = not available. CASPAR = Comprehensive Assessment and Solution Process for Aging Residents; UIMH = Usability in My Home; WeHSA= Westmead Home Safety Assessment; HAP = Home Assessment Profile; HEAP = Home Environmental Assessment Protocol; HES = Home Environment Survey ; HOME FAST = Home Falls and Accidents Screening Tool; HSS = Home Screen Scale; HSSAT = Home Safety Self-Assessment Tool; I-HOPE = In-Home Occupational Performance Evaluation; SAFER-HOME = Safety Assessment of Function and the Environment for Rehabilitation–Health Outcome Measurement and Evaluation.
Clinical Utility
Twelve instruments (HAP, HEAP, HES, HEROS Environmental Safety Check, HOME FAST, HSS, HSSAT, Ritchey Home Assessment, SAFER-HOME, Enabler, The Safe Living Guide, WeHSA) focused on the person–environment interaction when evaluating home hazards. Five instruments (Assessment of Home Hazard, CASPAR, COUGAR, Home Safety Checklist of Indoor Fall Risk, and Safety Housecheck) focused solely on assessment of the physical home environmental hazards. Meanwhile, two instruments (I-HOPE, UIMH) focused on individual functioning within the home with a lesser emphasis on elements of the physical environment. The Assessment of Home Hazards, the HES, the HEROS Environmental Safety Check, the HAP, the HOME FAST, the Home Safety Checklist of Indoor Fall Risk, the HSS, the HSSAT, the Ritchey Home Assessment, and the WeHSA were specifically developed for older fallers, while the other instruments were generic instruments that could be suitable for older fallers. The clinical utility of each instrument is presented in Table 4.
Clinical Utility of the Instruments.
Note. CASPAR = Comprehensive Assessment and Solution Process for Aging Residents; UIMH = Usability in My Home; WeHSA= Westmead Home Safety Assessment; HAP = Home Assessment Profile; HEAP = Home Environmental Assessment Protocol; HES = Home Environment Survey ; HOME FAST = Home Falls and Accidents Screening Tool; HSS = Home Screen Scale; HSSAT = Home Safety Self-Assessment Tool; I-HOPE = In-Home Occupational Performance Evaluation; SAFER-HOME = Safety Assessment of Function and the Environment for Rehabilitation–Health Outcome Measurement and Evaluation.
Discussion
This systematic review has identified 19 home hazard instruments for use with older people at risk of falls and has provided comprehensive information on the psychometric properties and clinical utility of these instruments. There is no consensus on the number of studies related to psychometric properties that an instrument should be able to demonstrate to be considered a psychometrically sound instrument. However, Cook and Beckman (2006) suggested that an instrument should at least contain evidence on five psychometric properties—content, construct and criterion validity, inter-rater reliability, and responsiveness. Only the HOME FAST instrument has evidence on all these properties. Predictive validity is among the highest quality and most important type of validity to strengthen the purpose of the instrument and increase the accuracy of the instrument to measure what it is intended to measure (Murphy, 2009). Only a small number of instruments investigated predictive validity. The HOME FAST, HAP, UIMH, the Enabler, and the Assessment of Home Hazards have adequate evidence on predictive validity in relation to falls risk. The Home Safety Checklist for Indoor Fall Risk has poor predictive validity and is not suitable to be used for a falls risk instrument. Many instruments appeared to demonstrate less than robust methods in terms of sample size and analysis.
However, strong psychometric evidence does not mean the instrument will be well accepted for use in practice. For example, although the Enabler is supported by a number of studies investigating its psychometric properties, it has been criticized because of the demands of training requirements to use it and the lengthy administration time. Thus, a shorter version of the Enabler was developed with fewer items requiring less time to complete the instrument while retaining the psychometric strengths of the original version (Carlsson et al., 2009). Similarly, the COUGAR instrument has established psychometric properties but has received low interest by practitioners for use in practice (Fisher et al., 2007, 2008). In contrast, the WeHSA has evidence of content validity and inter-rater reliability only but is considered the “gold standard” home hazards instrument and is accepted for use in practice by occupational therapists (Fabre, Ellis, Kosma, & Wood, 2010; Tzingounakis, 2012).
Only 10 of the 19 instruments in this review were developed specifically in relation to home hazards and falls risk. The remaining nine instruments focused more broadly on environmental hazards with only some studies focusing on falls. However, an understanding of the characteristics of instruments can assist health practitioners to make better choices on which instrument to use in a specific situation for a specific intervention objective and for researchers to further investigate the applicability of the instruments with older fallers.
Recommendations and Implications
This review has offered a good platform for practitioners to choose the most appropriate standardized instrument for practice. Using nonstandardized instruments contributes to health practitioners not being able to explain the relevance and necessity of interventions to clients and other disciplines, according to available evidence. Nonstandardized instruments might over- or underestimate falls risk, and therefore unnecessary, excessive, or inadequate modifications were recommended as a result (Weeks, Lamb, & Pickens, 2010). Selection of an instrument should be based on the reasoning and justification by the health practitioner on the need to conduct a home visit and home evaluation. The reasoning will often be associated with a client’s living arrangement, conditions, and functional level as well as how far the instrument provides meaningful intervention planning, how much time it takes to administer, and the resources needed (Atwal et al., 2014; Weeks et al., 2010).
There are nine instruments with satisfactory evidence about psychometric properties. From these, we recommend the HOME FAST for a screening evaluation, as the HOME FAST has the most psychometric properties, requires minimal training, was designed specifically for older people at risk of falls, has a minimal number of items, and is openly available. For a thorough assessment by an occupational therapist, we recommend the WeHSA as the instrument is widely accepted in occupational therapy practice, is considered the gold standard instrument, and was specifically developed for falls. In addition, we suggest the HSSAT for a thorough self-administered instrument due to its evidence of psychometric properties, and it was also specifically developed for falls and for older people to self-administer. The I-HOPE should be considered for further exploration in relation to detecting risk of falls based on its unique focus on the functionality of the older person in the home environment.
Many instruments implemented manual in-home observation methods either administered by practitioners or clients. However, there are difficulties associated with practitioners undertaking visits to the homes of older people due to other clinical duties and time needed for travel, arranging a visit, and acquiring permission to observe the house (Atwal et al., 2014). Photography was found to be the most cost-effective and plausible technique to substitute the needs for health practitioners to be present in the home to conduct a home assessment. Researchers should conduct future study to evaluate the feasibility of using a photography technique to supplement information available from established standardized instruments to strengthen the use of standardized instrument in practice. It may be possible for researchers to consider affordable and easily available technology such as Skype and FaceTime to evaluate the home environment quickly and in real time rather than using more costly technology. However, only if this is of high quality.
Study Strengths and Limitations
The study was strengthened by the additional use of reference searching and citation tracking process beyond the usual searching methods, and almost a quarter of the studies included came from the these additional processes. However, the review was limited by a number of factors. Our review excluded gray literature, non-English articles, and nonprimary studies. Several instruments reported psychometric properties in nonpeer-reviewed publications; for example, the HEROS Environmental Safety Check reported some psychometric properties in its manual. Other instruments reported psychometric properties in foreign language journals; for example, a small number of HOME FAST psychometric properties were reported in Persian and Chinese (Guo et al., 2015; Maghfouri, Mehraban, Taghizade, Aminian, & Jafari, 2012, 2013a) and the Home-Screen Scale was reported in Turkish (Uysal, Ardahan, & Ergu¨, 2006). One review reported valuable information such as the Enabler instrument having been translated into several languages (Iwarsson, Haak, & Slaug, 2012).
Conclusion
This systematic review provides a comprehensive evaluation of home hazards instruments related to falls with older people living in the community. From our review, the I-HOPE, HSSAT, WeHSA, and the HOME FAST have demonstrated evidence of clinimetric properties. We considered photography as a potential technique to be explored in supplementing the traditional in-home assessment conducted by practitioners. However, there is no instrument that is likely to be appropriate to all situations and populations. Researchers and practitioners should provide justification before choosing an instrument to match their intervention planning. The findings from this systematic review will enable practitioners to select appropriate measures of home hazards to use in practice and will allow researchers to better investigate the risk of falls related to home hazards among the community-dwelling older people in future studies.
Footnotes
Appendix
List of Excluded Studies With Reason for Exclusion.
| Studies | Reason of Exclusion |
|---|---|
| Anemaet and Moffa-Trotter (1999) |
Not an original study (literature review) Study was not about psychometric property investigation |
| Barras (2005) |
Not an original study (systematic review) Study was not about psychometric property investigation |
| Brandt et al. (2008) |
Instruments not about home hazards but about mobility |
| Brasset-Latulippe, Al-Hazzouri, Hébert, Bourgault-Coté, and Meilleur (2010) |
Study was not about psychometric property investigation |
| Calys, Gagnon, and Jernigan (2013) |
Comprehensive assessment where home hazards items were unclear |
| *Carignan, Rousseau, Gresset, and Couturier (2008) |
Focus of the study was not on falls |
| *Clemson et al. (1996) |
Study was not about psychometric property investigation |
| *de Courval et al. (2006) |
Comprehensive assessment where home hazards items were negligible |
| Demons et al. (2014) |
Study was not about psychometric property investigation |
| Dove (1999) |
Study was not about psychometric property investigation |
| *Erkal (2010) |
Study was not about psychometric property investigation |
| Fabre, Ellis, Kosma, and Wood (2010) |
Not an original study (literature review) |
| *Fänge and Iwarsson (1999) |
Focus of the study was not on falls |
| *Fänge and Iwarsson (2003) |
Focus of the study was not on falls |
| Fänge, Risser, and Iwarsson (2007) |
Study was not about psychometric property investigation |
| Fisher et al. (2008) |
Study was not about psychometric property investigation |
| Flemming and Ramsay (2012) |
Study was not about psychometric property investigation Instrument was unsure about home hazards |
| Gallagher, Stith, and Southard (2013) |
Home hazards not related to falls |
| Gates, Smith, Fisher, and Lamb (2008) |
Study was not about psychometric property investigation Home hazards not related to falls |
| Greene, Sample, and Fruhauf (2009) |
Study was not about psychometric property investigation Home hazards not related to falls |
| Helle and Brandt (2009) |
Gray literature (conference proceeding abstract) |
| Hnizdo, Archuleta, Taylor, and Son Chae (2013) |
Study was not about psychometric property investigation Comprehensive assessment where home hazards items were negligible |
| Horowitz (2002) |
Study was not about psychometric property investigation Home hazards not related to falls |
| Iwarsson (1999) |
Study was not about psychometric property investigation |
| *Iwarsson and Isacsson (1996) |
Focus of the study was not on falls |
| Iwarsson, Haak, and Slaug (2012) |
Not an original study (literature review) |
| *Iwarsson, Slaug, and Fänge (2012) |
Focus of the study was not on falls |
| Jakovljevic (2009) |
Study population not with community older people Instrument not on home hazards |
| Kara, Yildirim, Genc, and Ekizler (2009) |
Full text not in English Study not related to falls |
| *Keglovits, Somerville, and Stark (2015) |
Study population not with community older people Focus of the study was not on falls |
| Keysor, Jette, and Haley (2005) |
Focus of the study was not on falls Instrument not about home hazards |
| Leclerc et al. (2010) |
Study was not about psychometric property investigation |
| *Letts and Marshall (1996) |
Focus of the study was not on falls |
| *Letts, Scott, Burtney, Marshall, and McKean (1998) |
Focus of the study was not on falls |
| Lowery, Buri, and Ballard (2000) |
Study was not about psychometric property investigation |
| Maghfouri et al. (2012) |
Full text not in English |
| Maghfouri et al. (2013a) |
Full text not in English |
| Morris et al. (1997) |
Comprehensive assessment where home hazards items were unclear |
| Newton (2006) |
Not an original study (literature review) |
| Painter (1996) |
Focus of the study was not on falls Study was not about psychometric property investigation |
| Perlmutter et al. (2013) |
Focus of the study was not on falls Instrument limited to lighting aspect |
| Pynoos, Steinman, and Nguyen (2010) |
Study was not about psychometric property investigation |
| Renfro and Fehrer (2011) |
Study was not about psychometric property investigation Not in the home (primary care setting) |
| Robnett, Hopkins, and Kimball (2002) |
Study population not with community older people Focus of the study was not on falls |
| Rousseau, Potvin, Dutil, and Falta (2001) |
Study was not about psychometric property investigation Focus of the study was not on falls |
| Rousseau, Potvin, Dutil, and Falta (2013) |
Study population not with community older people Focus of the study was not on falls |
| Schulz et al. (2012) |
Focus of the study was not on falls |
| Sim, Barr, and George (2015) |
Focus of the study was not on falls |
| *Tanner (2003) |
Study was not about psychometric property investigation |
| Tomita (2012) |
Gray literature (Conference proceeding abstract) |
| Weeks, Lamb, and Pickens (2010) |
Not an original study (literature review) |
| You, Deans, Liu, Zhang, and Zhang (2004) |
Study was not about psychometric property investigation |
| Yuen and Austin (2014) |
Not an original study (systematic review) Not about home hazards instruments for falls |
Note. Asterisk (*) indicates articles excluded during full text eligibility.
Authors’ Note
This study is conducted as part of the first author’s PhD project at the University of Sydney. Lynette Mackenzie is the developer of Home Falls and Accidents Screening Tool (HOME FAST) and Lindy Clemson is the developer of Westmead Home Safety Assessment (WeHSA).
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
References
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