Each year, 700,000 to 1,000,000 people in the United States fall in hospitals; 30%–35% of those sustain injuries, and 20% of falls will cause serious traumatic injuries. Yet, research shows that close to one-third of these falls could be prevented. This paper presents the analyses of two fall-risk tools, Hendrich II fall risk model (HFRM II) and PMAT, in a local community hospital. Extensive review of literature and statistical analysis of 106 patients’ assessments practices were used to determine the current assessment skills for falls and PMAT. The aim was to understand if RNs are using the tools appropriately and should a new tool be suggested. The data showed that the hospital’s RNs can improve on two components of HFRM II: assessing dizziness and vertigo, and Get Up and Go Test. Furthermore, in 40% of cases PMAT was not completed, likely due to labor-intensiveness and being a relatively new practice.
","abstract_html":"<p>Each year, 700,000 to 1,000,000 people in the United States fall in hospitals; 30%–35% of those sustain injuries, and 20% of falls will cause serious traumatic injuries. Yet, research shows that close to one-third of these falls could be prevented. This paper presents the analyses of two fall-risk tools, Hendrich II fall risk model (HFRM II) and PMAT, in a local community hospital. Extensive review of literature and statistical analysis of 106 patients’ assessments practices were used to determine the current assessment skills for falls and PMAT. The aim was to understand if RNs are using the tools appropriately and should a new tool be suggested. The data showed that the hospital’s RNs can improve on two components of HFRM II: assessing dizziness and vertigo, and Get Up and Go Test. Furthermore, in 40% of cases PMAT was not completed, likely due to labor-intensiveness and being a relatively new practice.</p>","abstract_has_math":false,"creators":["Vasconcelos Barbosa Borba Pontual, Emanuelle"],"institution":null,"degree_name":"Master of Science in Nursing (MSN)","degree_level":"Project/Capstone - Global access","degree_discipline":null,"degree_department":null,"school":null,"contributors":["Danijela Pavlic"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2017,"date_issued":"2017-12-15T08:00:00Z","date_published":"2017-12-15T08:00:00Z","updated_at":"2026-07-24T05:44:13Z","subjects":["Falls","PMAT","Hendrich II","Fall Prevention","Fall tools","Acute care","Risk assessment","Nursing","Other Nursing"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://repository.usfca.edu/capstone/673","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Danijela Pavlic"]},{"key":"dc:creator","label":"Author","values":["Vasconcelos Barbosa Borba Pontual, Emanuelle"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2017-12-09T08:00:00Z"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Project/Capstone - Global access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science in Nursing (MSN)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Falls","PMAT","Hendrich II","Fall Prevention","Fall tools","Acute care","Risk assessment","Nursing","Other Nursing"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://repository.usfca.edu/capstone/673"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Each year, 700,000 to 1,000,000 people in the United States fall in hospitals; 30%–35% of those sustain injuries, and 20% of falls will cause serious traumatic injuries. Yet, research shows that close to one-third of these falls could be prevented. This paper presents the analyses of two fall-risk tools, Hendrich II fall risk model (HFRM II) and PMAT, in a local community hospital. Extensive review of literature and statistical analysis of 106 patients’ assessments practices were used to determine the current assessment skills for falls and PMAT. The aim was to understand if RNs are using the tools appropriately and should a new tool be suggested. The data showed that the hospital’s RNs can improve on two components of HFRM II: assessing dizziness and vertigo, and Get Up and Go Test. Furthermore, in 40% of cases PMAT was not completed, likely due to labor-intensiveness and being a relatively new practice.
"]},{"key":"dc:title","label":"Title","values":["Baseline Prevalence Study of Hendrich II Fall-Risk Assessment Tool at a Local Community Hospital"]}]}],"canonical_facts":{"dc:contributor":["Danijela Pavlic"],"dc:creator":["Vasconcelos Barbosa Borba Pontual, Emanuelle"],"dc:date.available":["2017-12-09T08:00:00Z"],"dc:description.abstract":["Each year, 700,000 to 1,000,000 people in the United States fall in hospitals; 30%–35% of those sustain injuries, and 20% of falls will cause serious traumatic injuries. Yet, research shows that close to one-third of these falls could be prevented. This paper presents the analyses of two fall-risk tools, Hendrich II fall risk model (HFRM II) and PMAT, in a local community hospital. Extensive review of literature and statistical analysis of 106 patients’ assessments practices were used to determine the current assessment skills for falls and PMAT. The aim was to understand if RNs are using the tools appropriately and should a new tool be suggested. The data showed that the hospital’s RNs can improve on two components of HFRM II: assessing dizziness and vertigo, and Get Up and Go Test. Furthermore, in 40% of cases PMAT was not completed, likely due to labor-intensiveness and being a relatively new practice.
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