Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial
<p>Abstract</p> <p>Background</p> <p>Antibiotics are frequently prescribed for older adults who reside in long-term care facilities. A substantial proportion of antibiotic use in this setting is inappropriate. Antibiotics are often prescribed for asymptomatic bacteriuri...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2002-09-01
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| Series: | BMC Health Services Research |
| Online Access: | http://www.biomedcentral.com/1472-6963/2/17 |
| _version_ | 1818390121103228928 |
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| author | Simor Andrew McGeer Allison Lohfeld Lynne Brazil Kevin Loeb Mark Stevenson Kurt Walter Stephen Zoutman Dick |
| author_facet | Simor Andrew McGeer Allison Lohfeld Lynne Brazil Kevin Loeb Mark Stevenson Kurt Walter Stephen Zoutman Dick |
| author_sort | Simor Andrew |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Antibiotics are frequently prescribed for older adults who reside in long-term care facilities. A substantial proportion of antibiotic use in this setting is inappropriate. Antibiotics are often prescribed for asymptomatic bacteriuria, a condition for which randomized trials of antibiotic therapy indicate no benefit and in fact harm. This proposal describes a randomized trial of diagnostic and therapeutic algorithms to reduce the use of antibiotics in residents of long-term care facilities.</p> <p>Methods</p> <p>In this on-going study, 22 nursing homes have been randomized to either use of algorithms (11 nursing homes) or to usual practise (11 nursing homes). The algorithms describe signs and symptoms for which it would be appropriate to send urine cultures or to prescribe antibiotics. The algorithms are introduced by inservicing nursing staff and by conducting one-on-one sessions for physicians using case-scenarios. The primary outcome of the study is courses of antibiotics per 1000 resident days. Secondary outcomes include urine cultures sent and antibiotic courses for urinary indications. Focus groups and semi-structured interviews with key informants will be used to assess the process of implementation and to identify key factors for sustainability.</p> |
| first_indexed | 2024-12-14T04:52:35Z |
| format | Article |
| id | doaj.art-63cb614b438a4e29a1b7bc9ee736561f |
| institution | Directory Open Access Journal |
| issn | 1472-6963 |
| language | English |
| last_indexed | 2024-12-14T04:52:35Z |
| publishDate | 2002-09-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Health Services Research |
| spelling | doaj.art-63cb614b438a4e29a1b7bc9ee736561f2022-12-21T23:16:30ZengBMCBMC Health Services Research1472-69632002-09-01211710.1186/1472-6963-2-17Optimizing antibiotics in residents of nursing homes: protocol of a randomized trialSimor AndrewMcGeer AllisonLohfeld LynneBrazil KevinLoeb MarkStevenson KurtWalter StephenZoutman Dick<p>Abstract</p> <p>Background</p> <p>Antibiotics are frequently prescribed for older adults who reside in long-term care facilities. A substantial proportion of antibiotic use in this setting is inappropriate. Antibiotics are often prescribed for asymptomatic bacteriuria, a condition for which randomized trials of antibiotic therapy indicate no benefit and in fact harm. This proposal describes a randomized trial of diagnostic and therapeutic algorithms to reduce the use of antibiotics in residents of long-term care facilities.</p> <p>Methods</p> <p>In this on-going study, 22 nursing homes have been randomized to either use of algorithms (11 nursing homes) or to usual practise (11 nursing homes). The algorithms describe signs and symptoms for which it would be appropriate to send urine cultures or to prescribe antibiotics. The algorithms are introduced by inservicing nursing staff and by conducting one-on-one sessions for physicians using case-scenarios. The primary outcome of the study is courses of antibiotics per 1000 resident days. Secondary outcomes include urine cultures sent and antibiotic courses for urinary indications. Focus groups and semi-structured interviews with key informants will be used to assess the process of implementation and to identify key factors for sustainability.</p>http://www.biomedcentral.com/1472-6963/2/17 |
| spellingShingle | Simor Andrew McGeer Allison Lohfeld Lynne Brazil Kevin Loeb Mark Stevenson Kurt Walter Stephen Zoutman Dick Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial BMC Health Services Research |
| title | Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial |
| title_full | Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial |
| title_fullStr | Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial |
| title_full_unstemmed | Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial |
| title_short | Optimizing antibiotics in residents of nursing homes: protocol of a randomized trial |
| title_sort | optimizing antibiotics in residents of nursing homes protocol of a randomized trial |
| url | http://www.biomedcentral.com/1472-6963/2/17 |
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