Analysis of the Reliability and Validity of the Johns Hopkins Fall Risk Assessment Scale in Patients with Acute Myocardial Infarction after Percutaneous Coronary Intervention
DOI:
https://doi.org/10.59958/hsf.7101Keywords:
Johns Hopkins Fall Risk Assessment Scale, acute myocardial infarction, percutaneous coronary intervention, reliability and validityAbstract
Objective: To analyze the reliability and validity of the Johns Hopkins Fall Risk Assessment Scale (JHFRAS) for out-of-bed fall risk in patients with acute myocardial infarction (AMI) after percutaneous coronary intervention (PCI). Methods: This study adopted continuity inclusion with the Chinese version of JHFRAS to test patients with AMI after PCI who were admitted to our hospital from January 2021 to December 2022. The occurrence of falls during out-of-bed activities was counted through follow-up, and the predictive value of the scale was assessed by using the area under the curve (AUC) of the receiver operator characteristic curve and determining sensitivity, specificity, Jordon's index, and critical value. The internal consistency reliability (Cronbach's α coefficient), interrater reliability (Spearman correlation analysis was conducted to analyze the scores obtained through the independent and simultaneous assessment of two reviewers who were unaware of the content and results of the scale), content validity (expert evaluation involving four experts), and criterion-related validity (the score of the Morse fall assessment scale [rMFS] was used as an indicator of criterion-related validity) were determined. Results: Through follow-up, this study found that 11 cases experienced falls during out-of-bed activities and 69 cases did not experience falls. The JHFRAS scores of the nonfall and fall groups were significantly different (p < 0.05). JHFRAS, which was designed to predict the risk of falls during out-of-bed activities in post-PCI patients with AMI, had an AUC of 0.880, a sensitivity of 0.937, a specificity of 0.824, a Jordon's index of 0.760, and a critical value of 9 points. Its Cronbach's α coefficient was 0.803. The assessment data from two reviewers were analyzed via intragroup coefficient analysis and yielded a Spearman's rank correlation coefficient of 0.948. The overall content validity of the scale was 0.968. The content validity indices of age, fall history, urine and defecation excretion amount, high-risk drug use, stent number, action capability, and cognitive ability were 0.915, 0.924, 0.938, 0.920, 0.954, 0.960 and 0.972, respectively. All correlation coefficients were significant at the 0.01 level. The scores of each dimension of rMFS and JHFRAS showed positive correlations. Conclusions: JHFRAS has good reliability and validity and can be used to assess the fall risk of out-of-bed activities in patients with AMI after PCI.
References
Hao PP, Chen YG, Wang JL, Ji WQ, Xue L, Liu XH, et al. Meta-analysis of the role of high-dose statins administered prior to percutaneous coronary intervention in reducing major adverse cardiac events in patients with coronary artery disease. Clinical and Experimental Pharmacology & Physiology. 2010; 37: 496–500.
Ariza-Zafra FJ, Romero-Galisteo RP, Ruiz-Muñoz M, Cuesta-Vargas AI, González-Sánchez M. Cross-cultural adaptation and validation of the Spanish version of the Johns Hopkins Fall Risk Assessment Tool. Disability and Rehabilitation. 2022; 44: 1457–1464.
Cho EH, Woo YJ, Han A, Chung YC, Kim YH, Park HA. Comparison of the predictive validity of three fall risk assessment tools and analysis of fall-risk factors at a tertiary teaching hospital. Journal of Clinical Nursing. 2020; 29: 3482–3493.
Garg H, Dibble LE, Schubert MC, Sibthorp J, Foreman KB, Gappmaier E. Gaze Stability, Dynamic Balance and Participation Deficits in People with Multiple Sclerosis at Fall-Risk. Anatomical Record (Hoboken, N.J.: 2007). 2018; 301: 1852–1860.
Adly NN, Abd-El-Gawad WM, Abou-Hashem RM. Relationship between malnutrition and different fall risk assessment tools in a geriatric in-patient unit. Aging Clinical and Experimental Research. 2020; 32: 1279–1287.
Chen Y, Lv L, Wu C, Wen H, Cai H, Xiao Y, et al. Assessment of the predictive ability of the Johns Hopkins Fall Risk Assessment Tool (Chinese Version) in inpatient settings. Journal of Advanced Nursing. 2022; 78: 4054–4061.
Arslan Ö, Tosun Z. Comparison of the psychometric properties of three commonly used fall risk assessment tools: a prospective observational study for stroke patients. Topics in Stroke Rehabilitation. 2022; 29: 430–437.
Monaco V, Aprigliano F, Palmerini L, Palumbo P, Chiari L, Micera S. Biomechanical Measures for Fall Risk Assessment and Fall Detection in People with Transfemoral Amputations for the Next-Generation Prostheses: A Scoping Review. JPO: Journal of Prosthetics and Orthotics. 2022; 34: e144–e162.
Sawa R, Tanaka B, Yamamoto J, Yamada M. Environmental hazards as risk factors for trips and slips at home among Japanese older people: A pilot study toward the development of a self-assessment tool for the home environment. Geriatrics & Gerontology International. 2022; 22: 305–310.
Zeneli A, Montalti S, Masciangelo I, Manieri G, Golinucci M, Nanni O, et al. Fall predictors in hospitalized patients living with cancer: a case-control study. Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer. 2022; 30: 7835–7843.
Netz Y, Yekutieli Z, Arnon M, Argov E, Tchelet K, Benmoha E, et al. Personalized Exercise Programs Based upon Remote Assessment of Motor Fitness: A Pilot Study among Healthy People Aged 65 Years and Older. Gerontology. 2022; 68: 465–479.
Kaya M, Duru M, Gulmez SE. Toward Kidney-Specific Causality Assessment Tool. Clinical Therapeutics. 2022; 44: e59–e75.
Yang C, Ghaedi B, Campbell TM, Rutkowski N, Finestone H. Predicting Falls Using the Stroke Assessment of Fall Risk Tool. PM & R: the Journal of Injury, Function, and Rehabilitation. 2021; 13: 274–281.
Morris ME, Haines T, Hill AM, Cameron ID, Jones C, Jazayeri D, et al. Divesting from a Scored Hospital Fall Risk Assessment Tool (FRAT): A Cluster Randomized Non-Inferiority Trial. Journal of the American Geriatrics Society. 2021; 69: 2598–2604.
Welch SA, Ward RE, Beauchamp MK, Leveille SG, Travison T, Bean JF. The Short Physical Performance Battery (SPPB): A Quick and Useful Tool for Fall Risk Stratification Among Older Primary Care Patients. Journal of the American Medical Directors Association. 2021; 22: 1646–1651.
Peel NM, Jones LV, Berg K, Gray LC. Validation of a Falls Risk Screening Tool Derived From InterRAI Acute Care Assessment. Journal of Patient Safety. 2021; 17: e1152–e1156.
Hurwitz B, Altmiller G. Content Validation for an Emergency Department Fall Risk Assessment Instrument. Clinical Nurse Specialist CNS. 2021; 35: 233–237.
Hnizdo S, Archuleta RA, Taylor B, Kim SC. Validity and reliability of the modified John Hopkins Fall Risk Assessment Tool for elderly patients in home health care. Geriatric Nursing (New York, N.Y.). 2013; 34: 423–427.
Strini V, Schiavolin R, Prendin A. Fall Risk Assessment Scales: A Systematic Literature Review. Nursing Reports (Pavia, Italy). 2021; 11: 430–443.
van der Zanden V, Paarlberg KM, van der Zaag-Loonen HJ, Meijer WJ, Mourits MJE, van Munster BC. Risk assessment for postoperative outcomes in a mixed hospitalized gynecological population by the Dutch safety management system (Veiligheidsmanagementsysteem, VMS) screening tool 'frail elderly'. Archives of Gynecology and Obstetrics. 2021; 304: 465–473.
Locquet M, Bonnard F, Beaudart C, Coendo C, Gillain S, Reginster JY, et al. An Assessment of the Toulouse Saint Louis University Mini Falls Assessment Tool to Predict Incident Falls among Older Adults Residing in Nursing Homes: A 6-Month Prospective Study. The Journal of Nutrition, Health & Aging. 2021; 25: 933–937.
Bravo J, Rosado H, Tomas-Carus P, Carrasco C, Batalha N, Folgado H, et al. Development and validation of a continuous fall risk score in community-dwelling older people: an ecological approach. BMC Public Health. 2021; 21: 808.
Beato MC, Morton E, Iadarola C, Winterberger L, Dawson N. Can the Wii Fit Balance Board be Used as a Fall Risk Assessment Tool among Poststroke Patients? Journal of Stroke and Cerebrovascular Diseases: the Official Journal of National Stroke Association. 2020; 29: 104500.
Michalcova J, Vasut K, Airaksinen M, Bielakova K. Inclusion of medication-related fall risk in fall risk assessment tool in geriatric care units. BMC Geriatrics. 2020; 20: 454.
Mathew L, Steigman D, Driscoll D, Moran-Peters JA, Fischer IM, Cordle P, et al. Making Fall Risk Assessment Clinically Relevant in an Adult Psychiatric Setting. Journal of Psychosocial Nursing and Mental Health Services. 2020; 58: 21–26.
Kaplan SE, Cournan M, Gates J, Thorne M, Jones A, Ponce T, et al. Validation of the Casa Colina Fall Risk Assessment Scale in Predicting Falls in Inpatient Rehabilitation Facilities. Rehabilitation Nursing: the Official Journal of the Association of Rehabilitation Nurses. 2020; 45: 234–237.
Jewell VD, Capistran K, Flecky K, Qi Y, Fellman S. Prediction of Falls in Acute Care Using The Morse Fall Risk Scale. Occupational Therapy in Health Care. 2020; 34: 307–319.
Liu R, Mou X, Liu HC. Occupational Health and Safety Risk Assessment based on Combination Weighting and Uncertain Linguistic Information: Method Development and Application to a Construction Project. IISE Transactions on Occupational Ergonomics and Human Factors. 2020; 8: 175–186.