{"id":{"repo_id":"sdstate","oai_identifier":"oai:openprairie.sdstate.edu:etd-1667"},"canonical_url":"https://search.dev.ndltd.org/etd/sdstate/oai:openprairie.sdstate.edu:etd-1667","repository":{"repo_id":"sdstate","name":"South Dakota State University","base_url":"https://openprairie.sdstate.edu/do/oai/"},"display":{"title":"The Application of a Falls Risk Index","abstract":"<p>This study examined the prospective use of a falls risk index. The research question was: To what extent do the intrinsic factors identified in the Tinetti et al. falls risk index predict which patients are likely to experience a fall. Hogue's ecological model of falls in late life provided a conceptual framework for the study.<br /> Direct observation was used to collect baseline data from a convenience/purposive sample of 26 male patients in a midwest nursing home care unit with a rehabilitation focus. Patients were then assigned to one of three risk groups: yes-fall, 30% chance of fall, no-fall. Reports of patient falls were reviewed during the following four months. Data were analyzed by discriminant analysis and frequency tables.<br /> Actual occurrences were demonstrated to be consistent with predicted occurrences in the frequency tabulation, and 23/26 Participants were classified correctly by discriminant analysis. There are several considerations in the interpretation of this data: (1) over half the sample was in the predicted middle—risk group (30% chance of falls) which has limited clinical usefulness, (2) the discriminant analysis equation was developed from study data, and (3) no variable contributed significantly to risk of falling in the stepwise entrance of variables analysis.<br /> Nonetheless, predictability of the extremes (yes-fall or no-fall) using reproducible scales to evaluate risk factors was demonstrated, and may be useful clinically as well as in other studies of patient falls.</p>","abstract_html":"&lt;p&gt;This study examined the prospective use of a falls risk index. The research question was: To what extent do the intrinsic factors identified in the Tinetti et al. falls risk index predict which patients are likely to experience a fall. Hogue&#x27;s ecological model of falls in late life provided a conceptual framework for the study.&lt;br /&gt; Direct observation was used to collect baseline data from a convenience/purposive sample of 26 male patients in a midwest nursing home care unit with a rehabilitation focus. Patients were then assigned to one of three risk groups: yes-fall, 30% chance of fall, no-fall. Reports of patient falls were reviewed during the following four months. Data were analyzed by discriminant analysis and frequency tables.&lt;br /&gt; Actual occurrences were demonstrated to be consistent with predicted occurrences in the frequency tabulation, and 23/26 Participants were classified correctly by discriminant analysis. There are several considerations in the interpretation of this data: (1) over half the sample was in the predicted middle—risk group (30% chance of falls) which has limited clinical usefulness, (2) the discriminant analysis equation was developed from study data, and (3) no variable contributed significantly to risk of falling in the stepwise entrance of variables analysis.&lt;br /&gt; Nonetheless, predictability of the extremes (yes-fall or no-fall) using reproducible scales to evaluate risk factors was demonstrated, and may be useful clinically as well as in other studies of patient falls.&lt;/p&gt;","abstract_has_math":false,"creators":["Harris, Marcelline R."],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis - Open Access","degree_discipline":"Graduate Nursing","degree_department":null,"school":null,"contributors":["Evelyn T. Peterson"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1986,"date_issued":"1986-01-01T08:00:00Z","date_published":"1986-01-01T08:00:00Z","updated_at":"2026-07-24T04:28:11Z","subjects":["Nursing"],"languages":["en"],"rights":["<p>In Copyright - Non-Commercial Use Permitted<br /><a href=\"http://rightsstatements.org/vocab/InC-NC/1.0/\">http://rightsstatements.org/vocab/InC-NC/1.0/</a></p>"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://openprairie.sdstate.edu/etd/667","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Evelyn T. Peterson"]},{"key":"dc:creator","label":"Author","values":["Harris, Marcelline R."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Graduate Nursing"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - Open Access"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Nursing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["<p>In Copyright - Non-Commercial Use Permitted<br /><a href=\"http://rightsstatements.org/vocab/InC-NC/1.0/\">http://rightsstatements.org/vocab/InC-NC/1.0/</a></p>"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://openprairie.sdstate.edu/etd/667"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>This study examined the prospective use of a falls risk index. The research question was: To what extent do the intrinsic factors identified in the Tinetti et al. falls risk index predict which patients are likely to experience a fall. Hogue's ecological model of falls in late life provided a conceptual framework for the study.<br /> Direct observation was used to collect baseline data from a convenience/purposive sample of 26 male patients in a midwest nursing home care unit with a rehabilitation focus. Patients were then assigned to one of three risk groups: yes-fall, 30% chance of fall, no-fall. Reports of patient falls were reviewed during the following four months. Data were analyzed by discriminant analysis and frequency tables.<br /> Actual occurrences were demonstrated to be consistent with predicted occurrences in the frequency tabulation, and 23/26 Participants were classified correctly by discriminant analysis. There are several considerations in the interpretation of this data: (1) over half the sample was in the predicted middle—risk group (30% chance of falls) which has limited clinical usefulness, (2) the discriminant analysis equation was developed from study data, and (3) no variable contributed significantly to risk of falling in the stepwise entrance of variables analysis.<br /> Nonetheless, predictability of the extremes (yes-fall or no-fall) using reproducible scales to evaluate risk factors was demonstrated, and may be useful clinically as well as in other studies of patient falls.</p>"]},{"key":"dc:title","label":"Title","values":["The Application of a Falls Risk Index"]}]}],"canonical_facts":{"dc:contributor":["Evelyn T. Peterson"],"dc:creator":["Harris, Marcelline R."],"dc:description.abstract":["<p>This study examined the prospective use of a falls risk index. The research question was: To what extent do the intrinsic factors identified in the Tinetti et al. falls risk index predict which patients are likely to experience a fall. Hogue's ecological model of falls in late life provided a conceptual framework for the study.<br /> Direct observation was used to collect baseline data from a convenience/purposive sample of 26 male patients in a midwest nursing home care unit with a rehabilitation focus. Patients were then assigned to one of three risk groups: yes-fall, 30% chance of fall, no-fall. Reports of patient falls were reviewed during the following four months. Data were analyzed by discriminant analysis and frequency tables.<br /> Actual occurrences were demonstrated to be consistent with predicted occurrences in the frequency tabulation, and 23/26 Participants were classified correctly by discriminant analysis. There are several considerations in the interpretation of this data: (1) over half the sample was in the predicted middle—risk group (30% chance of falls) which has limited clinical usefulness, (2) the discriminant analysis equation was developed from study data, and (3) no variable contributed significantly to risk of falling in the stepwise entrance of variables analysis.<br /> Nonetheless, predictability of the extremes (yes-fall or no-fall) using reproducible scales to evaluate risk factors was demonstrated, and may be useful clinically as well as in other studies of patient falls.</p>"],"dc:identifier":["https://openprairie.sdstate.edu/etd/667"],"dc:language":["en"],"dc:rights":["<p>In Copyright - Non-Commercial Use Permitted<br /><a href=\"http://rightsstatements.org/vocab/InC-NC/1.0/\">http://rightsstatements.org/vocab/InC-NC/1.0/</a></p>"],"dc:subject":["Nursing"],"dc:title":["The Application of a Falls Risk Index"],"thesis:degree_discipline":["Graduate Nursing"],"thesis:degree_level":["Thesis - Open Access"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T04:28:11Z"}