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Cross-cultural adaptation, reliability, and validity of the St. Thomas’s Falls Risk Assessment Tool in Older Adults (STRATIFY)

Adaptação transcultural, confiabilidade e validade da St. Thomas’s Falls Risk Assessment Tool in Older Adults (STRATIFY)

Adaptación transcultural, confiabilidad y validez de St. Thomas’s Falls Risk Assessment Tool in Older Adults (STRATIFY)

Abstract

Introduction:

Falls are an important adverse event among older adults. The St. Thomas’s Falls Risk Assessment Tool in Older Adults (STRATIFY) is a tool to assess the risk of falls; however, it is not translated and adapted to Portuguese.

Objective:

To translate and perform a cross-cultural adaptation of STRATIFY in Brazilian Portuguese, as well as to test the reliability and validity of the instrument.

Method:

The cross-cultural adaptation process was carried out in six stages: A) T1 and T2 translations; B) synthesis of translations (T12); C) T12 back translations (RT1 and RT2); D) expert committee review; E) pretesting of the version approved by the committee; F) adapted version of STRATIFY for Brazilian Portuguese. Inter-rater and test-retest reliability were performed using the intraclass correlation coefficient (ICC) and 95% confidence interval (CI). Validity was assessed by the Spearman’s correlation coefficient of the STRATIFY with the Morse Fall Scale (MFS). Data analysis was performed by the Microsoft Office Excel 2016 (translation and adaptation) and by the IBM SPSS Statistics 20.0 (reliability and validity). We used a level of significance of p<0.05.

Results:

Data were presented about the perception of 33 health professionals on the adapted version of STRATIFY. The following ICC and CI were found for inter-rater and test-retest reliability, respectively: ICC=0.729; CI=0.525-0.845 and ICC=0.876; CI=0.781-0.929. STRATIFY and MFS showed a moderate but significant correlation (ρ=0.50, p<0.001).

Conclusion:

The translated and adapted version of the STRATIFY presented moderate inter-rater reliability and good test-retest reliability, in addition to a moderate correlation to the MFS.

Keywords:
Accidental Falls; Translations; Risk Assessment; Hospitalization

Resumo

Introdução:

A queda entre idosos é um fator adverso importante. Um instrumento de avaliação para risco de queda é a St. Thomas’s Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY), porém não é traduzida e adaptada para o português.

Objetivo:

Realizar tradução e adaptação transcultural do instrumento STRATIFY para o idioma português (Brasil), bem como testar a confiabilidade e validade do instrumento.

Método:

O processo de adaptação ocorreu em 6 etapas: a) traduções T1 e T2; b) síntese das traduções (T12); c) retrotraduções de T12 (RT1 e RT2); d) comissão de especialistas; e) pré-teste da versão aprovada pelo comitê; f) versão adaptada da STRATIFY para o português. A confiabilidade inter-avaliador e teste-reteste foi realizada utilizando-se o coeficiente de correlação intraclasse (CCI) e intervalo de confiança (IC) de 95%. A validade foi avaliada pelo coeficiente de correlação de Spearman da STRATIFY com a Escala de Morse (EM). A análise de dados ocorreu pelo software Microsoft Office Excel 2016 (tradução e adaptação) e pelo programa IBM SPSS Statistics 20.0 (confiabilidade e validade). O nível de significância adotado foi de p<0,05.

Resultados:

Foram apresentados dados sobre a percepção de 33 profissionais da saúde sobre a versão adaptada da STRATIFY. E foram encontrados os seguintes CCI e IC para a confiabilidade inter-avaliador e teste-reteste, respectivamente: CCI=0,729; IC=0,525-0,845 e CCI=0,876; IC=0,781-0,929. A STRATIFY e a EM apresentaram moderada correlação, porém significativa (p=0,50; p<0,001).

Conclusão:

A versão traduzida e adaptada da STRATIFY apresentou moderada confiabilidade inter-avaliador e boa confiabilidade teste-reteste, além de correlacionar-se moderadamente à EM.

Palavras-chave:
Acidentes por Quedas; Tradução; Avaliação de Risco; Hospitalização

Resumen

Introducción:

La caída entre ancianos es un factor adverso importante. Un instrumento de evaluación para riesgo de caída es la St. Thomas’s Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY), pero no es traducida y adaptada para el portugués.

Objetivo:

Realizar traducción y adaptación transcultural del instrumento STRATIFY para el idioma portugués (Brasil), así como probar la confiabilidad y validez del instrumento.

Método:

El proceso de adaptación ocurrió en 6 etapas: a) traducciones T1 y T2; b) síntesis de las traducciones (T12); c) retroacciones de T12 (RT1 y RT2); d) comisión de expertos; e) pre-prueba de la versión aprobada por el comité; f) versión adaptada de STRATIFY al portugués. La confiabilidad inter-evaluadora y prueba-reprueba se probó utilizando el coeficiente de correlación intraclase (CCI) y el intervalo de confianza (IC) del 95%. La validez fue evaluada por el coeficiente de correlación de Spearman de la STRATIFY con la Escala de Morse (EM). El análisis de datos se produjo por el software Microsoft Office Excel 2016 (traducción y adaptación) y el programa IBM SPSS Statistics 20.0 (confiabilidad y validez). El nivel de significancia adoptado fue de p<0,05.

Resultados:

Se presentaron datos sobre la percepción de 33 profesionales de la salud sobre la versión adaptada de STRATIFY. Se encontraron los siguientes CCI e IC para la confiabilidad inter-evaluadora y prueba-reprueba, respectivamente: CCI=0,729; IC=0,525-0,845 y CCI=0,876; IC=0,781-0,929. La STRATIFY y la EM presentaron una moderada correlación, pero significativa (ρ=0,50; p<0,001).

Conclusión:

La versión traducida y adaptada de STRATIFY presentó moderada confiabilidad inter-evaluadora y buena confiabilidad prueba-reprueba, además de correlacionarse moderadamente a la EM.

Palabras clave:
Accidentes por Caídas; Traducción; Medición de Riesgo; Hospitalización

Introduction

The occurrence of falls in older adults is a significant adverse event11. Haagsma JA, Graetz N, Bolliger I, Naghavi M, Higashi H, Mullany EC, et al. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013. Inj Prev. 2016;22(1):3-18., which can lead to several complications for the individual, such as fractures, bruises, cranium traumas or even death 22. World Health Organization; World Alliance for Patient Safety.. Summary of the evidence on patient safety: implications for research. Geneva: World Health Organization; 2008.)-(55. Lightbody E, Watkins C, Leathley M, Sharma A, Lye M. Evaluation of a nurse-led falls prevention programme versus usual care: a randomized controlled trial. Age Ageing. 2002;31(3):203-10.. In addition, falls are responsible for two-thirds of trauma deaths/injuries in older adults 66. Rubenstein LZ, Josephson KR. The epidemiology of falls and syncope. Clin Geriatr Med. 2002;18(2):141-58. and are considered the main cause of death related to trauma 77. Lupo J, Barnett-Cowan M. Impaired perceived timing of falls in the elderly. Gait Posture. 2018;59:40-5.. Because of these complications, the individual may present functional limitations and disabilities, such as hospitalizations, increased hospitalization time (if the patient is already hospitalized) or admission in nursing homes (NH) 88. Luzia MF, Almeida MA, Lucena AF. Nursing care mapping for patients at risk of falls in the Nursing Interventions Classification. Rev Esc Enferm USP. 2014;48(4):632-9.)-(1010. Hendrich AL, Bender PS, Nyhuis A. Validation of the Hendrich II Fall Risk Model: a large concurrent case/control study of hospitalized patients. Appl Nurs Res. 2003;16(1):9-21., as well as the worsening of the quality of life 1111. Smith AA, Silva AO, Rodrigues RA, Moreira MA, Nogueira JA, Tura LF. Assessment of risk of falls in elderly living at home. Rev Latino Am Enfermagem. 2017;25:e2754..

According to the World Health Organization (WHO) 1212. World Health Organization. WHO Global Report on Falls Prevention in Older Age. Geneva; 2007., about 28 to 35% of individuals over 65 years of age suffer a fall every year. In addition, approximately half of these older adults who have already suffered at least one fall are recurrent fallers 1313. Ruchinskas R. Clinical prediction of falls in the elderly. Am J Phys Med Rehabil. 2003;82(4):273-8.. In the hospital environment, studies indicate that the rate of falls in developed countries is three to five falls per 1,000 patients per day. The rate varies according to the hospital unit and is higher in units that have a higher concentration of older patients 1414. Oliver D, Healey F, Haines TP. Preventing falls and fall-related injuries in hospitals. Clin Geriatr Med. 2010;26(4):645-92..

Institutionalization and hospitalization, besides being factors related to the fall, may characterize a risk factor for falls 1515. Dykes PC, Carroll DL, Hurley A, Lipsitz S, Benoit A, Chang F, et al. Fall prevention in acute care hospitals: a randomized trial. Jama. 2010;304(17):1912-8.), (1616. Vu MQ, Weintraub N, Rubenstein LZ. Falls in the nursing home: are they preventable? J Am Med Dir Assoc. 2004;5(6):401-6., since the patients are in a different environment than they are habituated, with the presence of a team of professionals to assist them in using medications or therapies that may affect the postural control 1515. Dykes PC, Carroll DL, Hurley A, Lipsitz S, Benoit A, Chang F, et al. Fall prevention in acute care hospitals: a randomized trial. Jama. 2010;304(17):1912-8.), (1717. Miake-Lye IM, Hempel S, Ganz DA, Shekelle PG. Inpatient fall prevention programs as a patient safety strategy: a systematic review. Ann Intern Med. 2013;158(5 Pt 2):390-6.), (1818. Deandrea S, Bravi F, Turati F, Lucenteforte E, La Vecchia C, Negri E. Risk factors for falls in older people in nursing homes and hospitals. A systematic review and meta-analysis. Arch Gerontol Geriatr. 2013;56(3):407-15.. Older adults in NH and in hospitals are more susceptible to functional dependence and frequently affected by chronic or acute conditions when compared with the older adults who live in the community 1818. Deandrea S, Bravi F, Turati F, Lucenteforte E, La Vecchia C, Negri E. Risk factors for falls in older people in nursing homes and hospitals. A systematic review and meta-analysis. Arch Gerontol Geriatr. 2013;56(3):407-15.), (1919. Becker C, Rapp K. Fall prevention in nursing homes. Clin Geriatr Med. 2010;26(4):693-704.. All of these factors differentiate hospitalized and residents in NH older adults from those who live in the community 1414. Oliver D, Healey F, Haines TP. Preventing falls and fall-related injuries in hospitals. Clin Geriatr Med. 2010;26(4):645-92.. The WHO launched in 2004 the World Alliance for Patient Safety, instituting fall prevention as the 6th International Safety Target 22. World Health Organization; World Alliance for Patient Safety.. Summary of the evidence on patient safety: implications for research. Geneva: World Health Organization; 2008.. In 2013, the Brazilian Ministry of Health, and the Agência Nacional de Vigilância Sanitária (National Health Surveillance Agency) created the Programa Nacional de Segurança do Paciente (National Patient Safety Program) to improve patient safety assisted by the country’s health system 2020. Brasil. Ministério da Saúde. Portaria nº 529, de 1º de abril de 2013. Institui o Programa Nacional de Segurança do Paciente (PNSP). Diário Oficial da União , Brasília, DF, 2013, Apr 2..

The MS advises that the risk assessment should be used in the institution in order to track patients at risk and prevent the occurrence of falls. The Programa Nacional de Segurança do Paciente (National Patient Safety Program) recommends that the institution should employ an appropriate scale to the profile of its patients and perform the assessment at the time of admission and repeat it every day until discharge 2020. Brasil. Ministério da Saúde. Portaria nº 529, de 1º de abril de 2013. Institui o Programa Nacional de Segurança do Paciente (PNSP). Diário Oficial da União , Brasília, DF, 2013, Apr 2..

Many risk factors are related to the increased number of falls in a hospital environment, which has favored the creation of several instruments to assess the risk of falls, making clinical practice difficult to choose the appropriate instrument 2121. Oliver D, Britton M, Seed P, Martin FC, Hopper AH. Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies. BMJ. 1997;315(7115):1049-53.)-(3030. Heinze C, Dassen T, Halfens R, Lohrmann C. Screening the risk of falls: a general or a specific instrument? J Clin Nurs. 2009;18(3):350-6..

In an analytical review, Lee et al. 3131. Lee J, Geller AI, Strasser DC. Analytical review: focus on fall screening assessments. PM R. 2013;5(7):609-21. described several scales for assessing the risk of falling used in surgical and medical units. The scale found in eight validation studies was the St. Thomas’s Risk of Assessment Tool in Falling Elderly Inpatients (STRATIFY).

STRATIFY is a tool that evaluated five items: the medical record of falls, agitation, visual impairment, need to use the restroom frequently, transfer and mobility. For each item there is a “yes” or “no” question 2121. Oliver D, Britton M, Seed P, Martin FC, Hopper AH. Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies. BMJ. 1997;315(7115):1049-53.. In addition, it is a scale of easy application and frequently used in Brazil 2020. Brasil. Ministério da Saúde. Portaria nº 529, de 1º de abril de 2013. Institui o Programa Nacional de Segurança do Paciente (PNSP). Diário Oficial da União , Brasília, DF, 2013, Apr 2.), (3232. Brasil. Ministério da Saúde. Envelhecimento e Saúde da Pessoa Idosa. Brasília, DF: Ministério da Saúde; 2006., but it is not adapted to the Portuguese language.

Several studies have used STRATIFY recently 3333. Aranda-Gallardo M, Enriquez de Luna-Rodriguez M, Canca-Sanchez JC, Moya-Suarez AB, Morales-Asencio JM. Validation of the STRATIFY falls risk-assessment tool for acute-care hospital patients and nursing home residents: study protocol. J Adv Nurs. 2015;71(8):1948-57.)-(4040. Wijnia JW, Ooms ME, van Balen R. Validity of the STRATIFY risk score of falls in nursing homes. Prev Med. 2006;42(2):154-7., some studies favoring the use of the instrument 2121. Oliver D, Britton M, Seed P, Martin FC, Hopper AH. Development and evaluation of evidence based risk assessment tool (STRATIFY) to predict which elderly inpatients will fall: case-control and cohort studies. BMJ. 1997;315(7115):1049-53.), (3333. Aranda-Gallardo M, Enriquez de Luna-Rodriguez M, Canca-Sanchez JC, Moya-Suarez AB, Morales-Asencio JM. Validation of the STRATIFY falls risk-assessment tool for acute-care hospital patients and nursing home residents: study protocol. J Adv Nurs. 2015;71(8):1948-57., others with discussions about whether the instrument is suitable or not for some sectors 3636. Castellini G, Demarchi A, Lanzoni M, Castaldi S. Fall prevention: is the STRATIFY tool the right instrument in Italian Hospital inpatient? A retrospective observational study. BMC Health Serv Res. 2017;17(1):656.), (3838. Oliver D, Papaioannou A, Giangregorio L, Thabane L, Reizgys K, Foster G. A systematic review and meta-analysis of studies using the STRATIFY tool for prediction of falls in hospital patients: how well does it work? Age Ageing. 2008;37(6):621-7.), (4040. Wijnia JW, Ooms ME, van Balen R. Validity of the STRATIFY risk score of falls in nursing homes. Prev Med. 2006;42(2):154-7..

Although there is much criticism in the literature for the use of STRATIFY, the instrument is widely used and recommended by the Brazilian Ministry of Health to be implemented in fall prevention programs for older adults 2020. Brasil. Ministério da Saúde. Portaria nº 529, de 1º de abril de 2013. Institui o Programa Nacional de Segurança do Paciente (PNSP). Diário Oficial da União , Brasília, DF, 2013, Apr 2..

Therefore, the objective of our study was to perform the transcultural translation and adaptation of the STRATIFY instrument to the Portuguese language (Brazil), as well as to test the reliability and validity of the instrument.

Methods

Before the translation and cross-cultural adaptation process of STRATIFY, we sent an e-mail to the STRATIFY’s author asking for his permission for all process. After permission was granted, the cross-cultural adaptation process occurs according to the guidelines by Beaton et al. 4141. Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine. 2000;25(24):3186-91.. Six steps were conducted, which can be observed in Figure 1. Follow the six detailed steps:

Figure 1
Flowchart of the stages of the translation and cross-cultural adaptation process.

a) Translations (T1 and T2)

Two translations of STRATIFY were performed for the Brazilian Portuguese by two independent translators, who possessed semantic, conceptual and cultural knowledge of the English language. One of the translators knew about the basic objectives of the tool and was from the area of study on falls, but the other was not connected to the area. The translators were instructed to use simple language, which could be understood by the general population.

b) Synthesis of the translations (T12)

A third person met with the two translators (T1 and T2) and was responsible for resolving any discrepancies and organizing the consensus version of translations (T12).

c) Back Translations of T12 (RT1 and RT2)

Two native individuals from the country of the original STRATIFY were responsible to perform the back translation of T12. None of the back translators had knowledge about the topic covered by the evaluation tool (important to know whether the T12 matched the original content).

d) Expert Committee

All the material generated in the previous stages (T1, T2, T12, RT1 and RT2) were submitted to an expert committee composed of all the participants already described, including a language professional, an experienced validation methodologist and a health professional. All the notes made in each step were taken to the committee, along with all the material produced, so that the pre-test version was produced. The pre-test version should be understood by a 12-year-old child and be equivalent to the original instrument in four aspects: semantic, experimental, idiomatic and conceptual. The committee could modify or reject the format and items and add new items. Since the original STRATIFY has no instructions to the evaluators and depends entirely on their perception, instructions for the adapted version have been created in this step.

e) Pretesting of the version approved by the committee

As mentioned in the previous step, STRATIFY is an evaluation tool that depends on the evaluator’s observation. Thus, with the pre-test version established by the expert committee, the STRATIFY pre-test was performed with 33 health professionals (nurses and physiotherapists) who had at least 1 year of experience in Gerontology in order to verify the understanding of the items of the tool. The health professionals were recruited from the researchers’ contacts and colleagues, and those who agreed to participate signed the Free and Informed Consent Form, approved by the Research Ethics Committee of the Medical School of the University of Sao Paulo (CEP-FMUSP) (number - 1.818.309; CAAE - 53540716.3.0000.0065). The health professionals, who participated in the study, completed an assessment sheet about the pre-test version of the STRATIFY for clarity, comprehension and application (for each item on the STRATIFY, they should indicate “clear,” “partially clear” or “unclear” and justify their answers if they chose “partially clear” or “unclear”). If there was any doubt or difficulty about the application, the professional could propose sentences or terms more understandable and compatible with reality.

f) Adapted version of STRATIFY in Brazilian Portuguese

The suggestions made in the pretesting were taken to the expert committee again, who rediscovered the adapted version, reformulated the necessary items and defined the final version of the Brazilian Portuguese STRATIFY.

After the translation and adaptation process, the reliability and validity of STRATIFY were tested. Two physiotherapists attended a nonprofit NH, located in the south of the city of Sao Paulo, and applied the evaluation instrument to 50 older residents of the institution, who agreed to participate in the study and signed the consent form.

For the inter-rater reliability, on the same day, each physiotherapist performed an evaluation of STRATIFY with all the older adults, but independently and at different times, so that one was not aware of the other’s score. For test-retest reliability, all the older adults were evaluated again by one of the physiotherapists after two days. The order and conditions for the evaluation were the same as the first evaluation.

The Morse Fall Scale (MFS) was also applied to all study participants in order to verify the validity of STRATIFY. The MFS is a scale for assessing the risk of falls in inpatients, used by the nursing team at the admission of the patient. This scale was developed by Morse 4242. Morse J. Preventing patient falls. Thousand Oaks: Sage; 1997., originally published in English and adapted and validated for the Portuguese language by Urbanetto et al. 2424. Urbanetto JS, Creutzberg M, Franz F, Ojeda BS, Gustavo AS, Bittencourt HR, et al. Morse Fall Scale: translation and transcultural adaptation for the Portuguese language. Rev Esc Enferm USP. 2013;47(3):569-75.. It is easy to apply and simple in its six items of evaluation: Medical record of Falls, Secondary Diagnosis, Aid in Ambulation, Intravenous Therapy / Salinized or heparinized endovenous device, Gait and Mental State. Each item is scored from 0 to 30 points. The sum of all items constitutes a risk score for fall, with the following classification: low risk, from 0 to 24 points; medium risk, from 25 to 44 and high risk, equal to or greater than 45 points.

The characteristics of the sample, sex and age were presented by means of descriptive statistics, relative percentage for sex and measures of position and variability for age. The inter-rater and test-retest reliability were analyzed by the intraclass correlation coefficient (CCI(2,1)) 4343. Bonett DG. Sample size requirements for estimating intraclass correlations with desired precision. Stat Med. 2002;21(9):1331-5.), (4444. Rankin G, Stokes M. Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses. Clin Rehabil. 1998;12(3):187-99. and confidence interval (CI) of 95%. The inter-rater reliability was analyzed using the scores obtained by the two physiotherapists in the first evaluation, and the test-retest reliability was analyzed using the scores of a physiotherapist in the first and second evaluations. The ICC was interpreted as poor (< 0.5), moderate (0.5-0.75), good (0.75-0.9), or excellent (> 0.90) 4545. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155-63..

We used descriptive statistics analysis for data of the translation and cross-cultural adaptation of STRATIFY with the Microsoft Office Excel 2016 for Windows, Brazil. For data analysis of reliability and validity, we used the statistical software IBM SPSS Statistics for Windows, version 20.0 4646. IBM. IBM SPSS Statistics for Windows. Version 20.0. Armonk, NY: IBM; 2011., adopting a level of significance of p < 0.05.

Results

Table 1 shows the steps of the translation and cross-cultural adaptation process of the STRATFIY, until the development of the pre-test version.

Table 1
Steps of the translation and adaptation of the STRATIFY process

A total of 33 health professionals participated in the pre-test, 63.6% (n = 21) physiotherapists and 36.4% (n = 12) nurses, with 97% women (n = 32) and mean of age 33 ± 7 years. Table 2 shows the data regarding the academic education, time of graduate and place of performance of the professionals participating in the pre-test.

Table 2
Data about the academic formation and practice of the professionals participating in the pre-test

Table 3 shows data on the clarity of each item of the STRATIFY pre-test version. Regarding the comments and suggestions of the final version, health professionals highlighted the following points for each item: Item 1 - better understanding when changing com queda for devido a uma queda; Item 2 - the criterion for determining what is stirred is unclear. Is the criterion for determining what is agitated related to symptoms and signs presented by the patient, or medical diagnosis, for example?; Item 3 - how to determine if the patient has visual impairment? By consulting the medical record? By asking the patient? Change apresenta alguma dificuldade em suas atividades diárias” for “apresenta alguma dificuldade para realizar atividades diárias; Item 4 - how to determine if the patient needs frequent bathroom visits? By consulting the medical record? By asking the patient?; Item 5 - leave punctuation instruction clearer, put the punctuation instructions after the item to be evaluated along with the explanation, show more clearly that the score of item 5 is the sum of the mobility and transfer score; Total Score - confusion of how to perform total score, confusion in classifying the patient at high risk of falling.

Table 3
Clarity of items of the adapted version of STRATIFY, evaluated by physiotherapists and nurses

Figure 2 shows the final version of Brazilian Portuguese STRATIFY after adjustments and discussions in the expert committee.

Figure 2
Final version of the STRATIFY translated and adapted to Portuguese.

For the reliability and validity analyses, a convenience sample of 50 older adults who live in NH participated in the study, 35 women (70%) and 15 men (30%), with a mean age of 79.5 years (SD ± 8.3 years). The interrater reliability of STRATIFY was considered moderate, with ICC = 0.729 (95% CI = 0.525-0.845). Test-retest reliability was good, with ICC = 0.876 (95% CI = 0.781-0.929). STRATIFY and MFS presented moderate but significant correlation (ρ = 0.50, p < 0.001).

Discussion

Throughout the process of translation and cross-cultural adaptation of STRATIFY to the Brazilian Portuguese language, we found some details for modification and inclusion in the final version presented in this study. Overall, items translated and adapted were clear to health professionals, except for item 5, which generated more doubts among professionals (39.4% considered the item “partially clear” and 6.1% “unclear”).

In item 1, nine professionals did not consider clear the question O paciente deu entrada no Hospital com queda ou caiu durante a internação?, suggesting a change to O paciente deu entrada no Hospital devido a uma queda ou caiu durante a internação?. The term com queda was considered confusing, since the patient is admitted to the hospital because of a fall and not with a fall.

Regarding items 2, 3 and 4, some professionals questioned the criteria for determining whether a patient is agitated, if they have visual impairment, and frequently need to go to the bathroom. The justification for these questions was that the evaluation is very subjective, made according to the judgment of the professional. However, STRATIFY was developed to be an easy and agile application, precisely considering only the perception of the professional in relation to the patient. Therefore, we chose to include an explanatory text before the evaluation instrument, with the information that the evaluation depends on the evaluator’s observation. In addition, we have included in the instructions that the evaluators should analyze the issues according to their clinical experience.

In item 5, many professionals questioned the text layout of the instructions and scores. Since STRATIFY has no instructions to the evaluator, in its original English version, we consider the creation of guidelines for professionals who will use the instrument in clinical practice important. With this, we assume that in the pre-test version the text could provide doubts to the evaluator. Therefore, we reformulated this item, describing it step by step, according to the observation necessary to the patient and scores. In the same way, we clearly put the instructions for the final score, since three professionals found it difficult to understand.

In this study, we performed the entire cross-cultural translation and adaptation process of STRATIFY and tested some psychometric properties through inter-rater and test-retest reliability and validity of the assessment tool. We verified moderate inter-rater reliability and good test-retest reliability, as well as moderate and significant correlation of STRATIFY with MFS, showing that the instrument analyzed in this study may be applied to older adults who live in NH. However, future studies may assess the instrument’s ability to predict falls. In the literature, the variety of instruments for evaluating the risk of falling is enormous and many instruments do not have well established values of sensitivity and specificity to actually predict the occurrence of falls 3131. Lee J, Geller AI, Strasser DC. Analytical review: focus on fall screening assessments. PM R. 2013;5(7):609-21..

Similarly, Oliver et al. 1414. Oliver D, Healey F, Haines TP. Preventing falls and fall-related injuries in hospitals. Clin Geriatr Med. 2010;26(4):645-92. warn of the use of evaluation tools that predict falls, since they do not have good sensitivity and specificity combined. In addition, they emphasize that falls involve a deeper study and that predicting them involves a specific judgment of the team of professionals involved in patient care, especially nurses (in the case of hospitalized patients). Oliver et al. 1414. Oliver D, Healey F, Haines TP. Preventing falls and fall-related injuries in hospitals. Clin Geriatr Med. 2010;26(4):645-92. also confirm that one of the most used instruments in the literature to predict fall is STRATIFY.

Since STRATIFY depends on the judgment of the professional applying it, the variety of responses may be very large, which we could verify in this study, since the reliability of the inter-rater instrument was moderate, different from when the same evaluator reappears with the same subject at another time. In this case, the reliability is good, considering that the same person has a small variation of judgment between one evaluation and another.

In the literature, there are many options to evaluate the risk of falling, in addition to instruments based on the clinical judgment of the professional who evaluates the patient. Some of these options are the performance of postural control, such as the Berg Balance Scale 4747. Berg KO, Wood-Dauphinee SL, Williams JI, Maki B. Measuring balance in the elderly: validation of an instrument. Can J Public Health. 1992;8:S7-11. and the Balance Evaluation Systems Test (BESTest) (48), which evaluate the relationship of the motor part through balance and functional activities, as well as the interference of the cognitive task (present in BESTest). Future studies could compare the psychometric properties of subjective instruments with those of performance.

Although there is no consensus in the literature regarding the prediction of falls, as well as the lack of evidence regarding the sensitivity and specificity of the instruments, it is known that, in clinical practice, the use of these instruments is very common and recommended by fall prevention programs. In addition to using an appropriate assessment of the risk of falls for this purpose, hospital institutions are evaluated for the quality of the service provided, and falls prevention is a quality criterion.

Conclusion

We conclude the final version of STRATIFY adapted to Portuguese and to the Brazilian population after following the stages of translation and cross-cultural adaptation process. In addition, STRATIFY presented moderate and good inter-rater reliability and test-retest, respectively. Regarding the validity of the instrument, this tool was moderately correlated to the Morse Fall Scale.

References

  • 1
    Haagsma JA, Graetz N, Bolliger I, Naghavi M, Higashi H, Mullany EC, et al. The global burden of injury: incidence, mortality, disability-adjusted life years and time trends from the Global Burden of Disease study 2013. Inj Prev. 2016;22(1):3-18.
  • 2
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Publication Dates

  • Publication in this collection
    22 July 2019
  • Date of issue
    2019

History

  • Received
    23 Oct 2017
  • Accepted
    21 Jan 2019
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