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Quality of prescribing predicts hospitalisation in octogenarians: life and living in advanced age: a cohort study in New Zealand

Background Prescribing for older people is complex, and many studies have highlighted that appropriate prescribing in this cohort is not always achieved. However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of...

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Published in:BMC Geriatrics 2019, Vol.19 (1)
Main Authors: Ryan, Cristín, Teh, Ruth, Moyes, Simon, Wilkinson, Tim, Connolly, Ma, Rolleston, Anna, Kepa, Mere, Kerse, Ngaire
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container_title BMC Geriatrics
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Teh, Ruth
Moyes, Simon
Wilkinson, Tim
Connolly, Ma
Rolleston, Anna
Kepa, Mere
Kerse, Ngaire
description Background Prescribing for older people is complex, and many studies have highlighted that appropriate prescribing in this cohort is not always achieved. However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of this study was to determine the level of potentially inappropriate prescribing (PIP) for participants of the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) study at baseline and examine the association between PIP and hospitalisation and mortality at 12-months follow-up. Methods PIP was determined using STOPP/START. STOPP identified potentially inappropriate medicines (PIMs) prescribed, START identified potential prescribing omissions (PPOs). STOPP/START were applied to all LiLACS NZ study participants, a longitudinal study of ageing, which includes 421 Maori aged 80-90 years and 516 non-Maori aged 85 years. Participants' details (e.g. age, sex, living arrangements, socioeconomic status, physical functioning, medical conditions) were gathered by trained interviewers. Some participants completed a core questionnaire only, which did not include medications details. Medical conditions were established from a combination of self-report, review of hospital discharge and general practitioner records. Binary logistic regression, controlled for multiple potential confounders, was conducted to determine if either PIMs or PPOs were associated with hospital admissions and mortality (p < 0.05 was considered significant). Results Full data were obtained for 267 Maori and 404 non-Maori. The mean age for Maori was 82.3([+ or -]2.6) years, and 84.6([+ or -]0.53) years for non-Maori. 247 potentially inappropriate medicines were identified, affecting 24.3% Maori and 28.0% non-Maori. PIMs were not associated with 12-month mortality or hospitalisation for either cohort (p > 0.05; adjusted models). 590 potential prescribing omissions were identified, affecting 58.1% Maori and 49.0% non-Maori. PPOs were associated with hospitalisation (p = 0.001 for Maori), but were not associated with risk of mortality (p > 0.05) for either cohort within the 12-month follow-up (adjusted models). Conclusion PPOs were more common than PIMs and were associated with an increased risk of hospitalisation for Maori. This study highlights the importance of carefully considering all indicated medicines when deciding what to prescribe. Further follow-up is necessary to determine t
doi_str_mv 10.1186/s12877-019-1305-x
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However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of this study was to determine the level of potentially inappropriate prescribing (PIP) for participants of the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) study at baseline and examine the association between PIP and hospitalisation and mortality at 12-months follow-up. Methods PIP was determined using STOPP/START. STOPP identified potentially inappropriate medicines (PIMs) prescribed, START identified potential prescribing omissions (PPOs). STOPP/START were applied to all LiLACS NZ study participants, a longitudinal study of ageing, which includes 421 Maori aged 80-90 years and 516 non-Maori aged 85 years. Participants' details (e.g. age, sex, living arrangements, socioeconomic status, physical functioning, medical conditions) were gathered by trained interviewers. Some participants completed a core questionnaire only, which did not include medications details. Medical conditions were established from a combination of self-report, review of hospital discharge and general practitioner records. Binary logistic regression, controlled for multiple potential confounders, was conducted to determine if either PIMs or PPOs were associated with hospital admissions and mortality (p &lt; 0.05 was considered significant). Results Full data were obtained for 267 Maori and 404 non-Maori. The mean age for Maori was 82.3([+ or -]2.6) years, and 84.6([+ or -]0.53) years for non-Maori. 247 potentially inappropriate medicines were identified, affecting 24.3% Maori and 28.0% non-Maori. PIMs were not associated with 12-month mortality or hospitalisation for either cohort (p &gt; 0.05; adjusted models). 590 potential prescribing omissions were identified, affecting 58.1% Maori and 49.0% non-Maori. PPOs were associated with hospitalisation (p = 0.001 for Maori), but were not associated with risk of mortality (p &gt; 0.05) for either cohort within the 12-month follow-up (adjusted models). Conclusion PPOs were more common than PIMs and were associated with an increased risk of hospitalisation for Maori. This study highlights the importance of carefully considering all indicated medicines when deciding what to prescribe. Further follow-up is necessary to determine the long-term effects of PIP on mortality and hospitalisation. Keywords: Older people, Ethnicity, Longitudinal study, Appropriate prescribing</description><identifier>ISSN: 1471-2318</identifier><identifier>EISSN: 1471-2318</identifier><identifier>DOI: 10.1186/s12877-019-1305-x</identifier><language>eng</language><publisher>BioMed Central Ltd</publisher><subject>Drugs ; General practitioners ; Health aspects ; Hospital admission and discharge ; Mortality ; New Zealand ; Prescription writing ; Social class</subject><ispartof>BMC Geriatrics, 2019, Vol.19 (1)</ispartof><rights>COPYRIGHT 2019 BioMed Central Ltd.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,780,4476,27901</link.rule.ids></links><search><creatorcontrib>Ryan, Cristín</creatorcontrib><creatorcontrib>Teh, Ruth</creatorcontrib><creatorcontrib>Moyes, Simon</creatorcontrib><creatorcontrib>Wilkinson, Tim</creatorcontrib><creatorcontrib>Connolly, Ma</creatorcontrib><creatorcontrib>Rolleston, Anna</creatorcontrib><creatorcontrib>Kepa, Mere</creatorcontrib><creatorcontrib>Kerse, Ngaire</creatorcontrib><title>Quality of prescribing predicts hospitalisation in octogenarians: life and living in advanced age: a cohort study in New Zealand</title><title>BMC Geriatrics</title><description>Background Prescribing for older people is complex, and many studies have highlighted that appropriate prescribing in this cohort is not always achieved. However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of this study was to determine the level of potentially inappropriate prescribing (PIP) for participants of the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) study at baseline and examine the association between PIP and hospitalisation and mortality at 12-months follow-up. Methods PIP was determined using STOPP/START. STOPP identified potentially inappropriate medicines (PIMs) prescribed, START identified potential prescribing omissions (PPOs). STOPP/START were applied to all LiLACS NZ study participants, a longitudinal study of ageing, which includes 421 Maori aged 80-90 years and 516 non-Maori aged 85 years. Participants' details (e.g. age, sex, living arrangements, socioeconomic status, physical functioning, medical conditions) were gathered by trained interviewers. Some participants completed a core questionnaire only, which did not include medications details. Medical conditions were established from a combination of self-report, review of hospital discharge and general practitioner records. Binary logistic regression, controlled for multiple potential confounders, was conducted to determine if either PIMs or PPOs were associated with hospital admissions and mortality (p &lt; 0.05 was considered significant). Results Full data were obtained for 267 Maori and 404 non-Maori. The mean age for Maori was 82.3([+ or -]2.6) years, and 84.6([+ or -]0.53) years for non-Maori. 247 potentially inappropriate medicines were identified, affecting 24.3% Maori and 28.0% non-Maori. PIMs were not associated with 12-month mortality or hospitalisation for either cohort (p &gt; 0.05; adjusted models). 590 potential prescribing omissions were identified, affecting 58.1% Maori and 49.0% non-Maori. PPOs were associated with hospitalisation (p = 0.001 for Maori), but were not associated with risk of mortality (p &gt; 0.05) for either cohort within the 12-month follow-up (adjusted models). Conclusion PPOs were more common than PIMs and were associated with an increased risk of hospitalisation for Maori. This study highlights the importance of carefully considering all indicated medicines when deciding what to prescribe. Further follow-up is necessary to determine the long-term effects of PIP on mortality and hospitalisation. 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However, the long-term effect of inappropriate prescribing on outcomes such as hospitalisation and mortality has not been demonstrated. The aim of this study was to determine the level of potentially inappropriate prescribing (PIP) for participants of the Life and Living in Advanced Age: A Cohort Study in New Zealand (LiLACS NZ) study at baseline and examine the association between PIP and hospitalisation and mortality at 12-months follow-up. Methods PIP was determined using STOPP/START. STOPP identified potentially inappropriate medicines (PIMs) prescribed, START identified potential prescribing omissions (PPOs). STOPP/START were applied to all LiLACS NZ study participants, a longitudinal study of ageing, which includes 421 Maori aged 80-90 years and 516 non-Maori aged 85 years. Participants' details (e.g. age, sex, living arrangements, socioeconomic status, physical functioning, medical conditions) were gathered by trained interviewers. Some participants completed a core questionnaire only, which did not include medications details. Medical conditions were established from a combination of self-report, review of hospital discharge and general practitioner records. Binary logistic regression, controlled for multiple potential confounders, was conducted to determine if either PIMs or PPOs were associated with hospital admissions and mortality (p &lt; 0.05 was considered significant). Results Full data were obtained for 267 Maori and 404 non-Maori. The mean age for Maori was 82.3([+ or -]2.6) years, and 84.6([+ or -]0.53) years for non-Maori. 247 potentially inappropriate medicines were identified, affecting 24.3% Maori and 28.0% non-Maori. PIMs were not associated with 12-month mortality or hospitalisation for either cohort (p &gt; 0.05; adjusted models). 590 potential prescribing omissions were identified, affecting 58.1% Maori and 49.0% non-Maori. PPOs were associated with hospitalisation (p = 0.001 for Maori), but were not associated with risk of mortality (p &gt; 0.05) for either cohort within the 12-month follow-up (adjusted models). Conclusion PPOs were more common than PIMs and were associated with an increased risk of hospitalisation for Maori. This study highlights the importance of carefully considering all indicated medicines when deciding what to prescribe. Further follow-up is necessary to determine the long-term effects of PIP on mortality and hospitalisation. Keywords: Older people, Ethnicity, Longitudinal study, Appropriate prescribing</abstract><pub>BioMed Central Ltd</pub><doi>10.1186/s12877-019-1305-x</doi></addata></record>
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source Publicly Available Content Database; PubMed Central
subjects Drugs
General practitioners
Health aspects
Hospital admission and discharge
Mortality
New Zealand
Prescription writing
Social class
title Quality of prescribing predicts hospitalisation in octogenarians: life and living in advanced age: a cohort study in New Zealand
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