Patient factors associated with appointment non-attendance at an ophthalmology department in Aotearoa New Zealand
Appointment non-attendance is a problem for medical outpatient clinics, which can result in interruption of continuity of care and poor health outcomes for patients. Furthermore, non-attendance creates a significant economic burden to the health sector. This study aimed to identify factors that are...
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| Veröffentlicht in: | New Zealand medical journal 2023-04, Vol.136 (1573), p.77-87 |
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| creator | Low, Jackie Cunningham, William J Niederer, Rachael L Danesh-Meyer, Helen V |
| description | Appointment non-attendance is a problem for medical outpatient clinics, which can result in interruption of continuity of care and poor health outcomes for patients. Furthermore, non-attendance creates a significant economic burden to the health sector. This study aimed to identify factors that are associated with appointment non-attendance in a large public ophthalmology clinic in Aotearoa New Zealand.
This study was a retrospective analysis of clinic non-attendance within Auckland District Health Board's (DHB) Ophthalmology Department between 1 January 2018 to 31 December 2019. Demographic data collected included: age, gender and ethnicity. Deprivation Index was calculated. Appointments were classified as new patients and follow-ups, and acute or routine. Categorical and continuous variables were analysed using logistic regression to assess likelihood of non-attendance. The research team's expertise and capacity align with the CONSIDER statement guidelines for Indigenous health and research.
In total, 52,512 patients were scheduled to attend 227,028 outpatient visits, of which 20,580 visits (9.1%) were not attended. Median age of patients who received one or more scheduled appointments were 66.1 years (interquartile range [IQR] 46.9-77.9). Fifty-one point seven percent of patients were female. Ethnicity comprised 55.0% European, 7.9% Māori, 13.5% Pacific peoples, 20.6% Asian and 3.1% Other. Multivariate logistic regression analysis for all appointments showed that males (odds ratio [OR] 1.15 p |
| doi_str_mv | 10.26635/6965.6011 |
| format | Article |
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This study was a retrospective analysis of clinic non-attendance within Auckland District Health Board's (DHB) Ophthalmology Department between 1 January 2018 to 31 December 2019. Demographic data collected included: age, gender and ethnicity. Deprivation Index was calculated. Appointments were classified as new patients and follow-ups, and acute or routine. Categorical and continuous variables were analysed using logistic regression to assess likelihood of non-attendance. The research team's expertise and capacity align with the CONSIDER statement guidelines for Indigenous health and research.
In total, 52,512 patients were scheduled to attend 227,028 outpatient visits, of which 20,580 visits (9.1%) were not attended. Median age of patients who received one or more scheduled appointments were 66.1 years (interquartile range [IQR] 46.9-77.9). Fifty-one point seven percent of patients were female. Ethnicity comprised 55.0% European, 7.9% Māori, 13.5% Pacific peoples, 20.6% Asian and 3.1% Other. Multivariate logistic regression analysis for all appointments showed that males (odds ratio [OR] 1.15 p<0.001), younger patients (OR 0.99 p<0.001), Māori (OR 2.69 p<0.001), Pacific peoples (OR 2.82 p<0.001), higher deprivation status (OR 1.06 p<0.001), new patient appointments (OR 1.61 p<0.001) and patients referred to acute clinics (OR 1.22 p<0.001) were more likely to not attend appointments.
Māori and Pacific peoples disproportionately experience higher rates of appointment non-attendance. Further investigation of access barriers will enable Aotearoa New Zealand health strategy planning to develop targeted interventions addressing unmet patient needs of at-risk groups.]]></description><identifier>ISSN: 1175-8716</identifier><identifier>EISSN: 1175-8716</identifier><identifier>DOI: 10.26635/6965.6011</identifier><identifier>PMID: 37054457</identifier><language>eng</language><publisher>New Zealand: Pasifika Medical Association Group (PMAG)</publisher><subject>Age ; Aged ; Appointments and Schedules ; Demographics ; Ethnicity ; Female ; Females ; Gender ; Health disparities ; Humans ; Male ; Males ; Medical personnel ; Medical research ; New Zealand ; Ophthalmology ; Outpatient care facilities ; Patient Compliance ; Patients ; Regression analysis ; Retrospective Studies ; Values</subject><ispartof>New Zealand medical journal, 2023-04, Vol.136 (1573), p.77-87</ispartof><rights>PMA.</rights><rights>Copyright New Zealand Medical Association (NZMA) Apr 14, 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37054457$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Low, Jackie</creatorcontrib><creatorcontrib>Cunningham, William J</creatorcontrib><creatorcontrib>Niederer, Rachael L</creatorcontrib><creatorcontrib>Danesh-Meyer, Helen V</creatorcontrib><title>Patient factors associated with appointment non-attendance at an ophthalmology department in Aotearoa New Zealand</title><title>New Zealand medical journal</title><addtitle>N Z Med J</addtitle><description><![CDATA[Appointment non-attendance is a problem for medical outpatient clinics, which can result in interruption of continuity of care and poor health outcomes for patients. Furthermore, non-attendance creates a significant economic burden to the health sector. This study aimed to identify factors that are associated with appointment non-attendance in a large public ophthalmology clinic in Aotearoa New Zealand.
This study was a retrospective analysis of clinic non-attendance within Auckland District Health Board's (DHB) Ophthalmology Department between 1 January 2018 to 31 December 2019. Demographic data collected included: age, gender and ethnicity. Deprivation Index was calculated. Appointments were classified as new patients and follow-ups, and acute or routine. Categorical and continuous variables were analysed using logistic regression to assess likelihood of non-attendance. The research team's expertise and capacity align with the CONSIDER statement guidelines for Indigenous health and research.
In total, 52,512 patients were scheduled to attend 227,028 outpatient visits, of which 20,580 visits (9.1%) were not attended. Median age of patients who received one or more scheduled appointments were 66.1 years (interquartile range [IQR] 46.9-77.9). Fifty-one point seven percent of patients were female. Ethnicity comprised 55.0% European, 7.9% Māori, 13.5% Pacific peoples, 20.6% Asian and 3.1% Other. Multivariate logistic regression analysis for all appointments showed that males (odds ratio [OR] 1.15 p<0.001), younger patients (OR 0.99 p<0.001), Māori (OR 2.69 p<0.001), Pacific peoples (OR 2.82 p<0.001), higher deprivation status (OR 1.06 p<0.001), new patient appointments (OR 1.61 p<0.001) and patients referred to acute clinics (OR 1.22 p<0.001) were more likely to not attend appointments.
Māori and Pacific peoples disproportionately experience higher rates of appointment non-attendance. Further investigation of access barriers will enable Aotearoa New Zealand health strategy planning to develop targeted interventions addressing unmet patient needs of at-risk groups.]]></description><subject>Age</subject><subject>Aged</subject><subject>Appointments and Schedules</subject><subject>Demographics</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Females</subject><subject>Gender</subject><subject>Health disparities</subject><subject>Humans</subject><subject>Male</subject><subject>Males</subject><subject>Medical personnel</subject><subject>Medical research</subject><subject>New Zealand</subject><subject>Ophthalmology</subject><subject>Outpatient care facilities</subject><subject>Patient Compliance</subject><subject>Patients</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Values</subject><issn>1175-8716</issn><issn>1175-8716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNpd0ctKxDAUBuAgiveNDyABNyJUkzZJk-UweANRF7pxU45J6lTapJOkDL69raMirnIIH4ef8yN0RMl5LkTBL4QS_FwQSjfQLqUlz2RJxeafeQftxfhOSM65IttopygJZ4yXu2j5CKmxLuEadPIhYojR6waSNXjVpAWGvveNS91knHcZpGSdAacthoTBYd8v0gLazrf-7QMb20NY68bhmU8Wggd8b1f4xUILzhygrRraaA-_3330fHX5NL_J7h6ub-ezu0wXlKQMtCqtGRNbqSjXpmZa1ILTkkHOXo2ihhRKaGJqKWvGclBGASPKUFWOP3Wxj07Xe_vgl4ONqeqaqG07ZrB-iFUuCVWSlVKM9OQfffdDcGO6SeWyYLmkozpbKx18jMHWVR-aDsJHRUn1VUQ1FVFNRYz4-Hvl8NpZ80t_Ll98Asclg4E</recordid><startdate>20230414</startdate><enddate>20230414</enddate><creator>Low, Jackie</creator><creator>Cunningham, William J</creator><creator>Niederer, Rachael L</creator><creator>Danesh-Meyer, Helen V</creator><general>Pasifika Medical Association Group (PMAG)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AYAGU</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20230414</creationdate><title>Patient factors associated with appointment non-attendance at an ophthalmology department in Aotearoa New Zealand</title><author>Low, Jackie ; Cunningham, William J ; Niederer, Rachael L ; Danesh-Meyer, Helen V</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c310t-ac97ed025e8915cdf4c6f65174a24bd91d0396c0df88f442a9d9a409d19788ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Aged</topic><topic>Appointments and Schedules</topic><topic>Demographics</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Females</topic><topic>Gender</topic><topic>Health disparities</topic><topic>Humans</topic><topic>Male</topic><topic>Males</topic><topic>Medical personnel</topic><topic>Medical research</topic><topic>New Zealand</topic><topic>Ophthalmology</topic><topic>Outpatient care facilities</topic><topic>Patient Compliance</topic><topic>Patients</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Low, Jackie</creatorcontrib><creatorcontrib>Cunningham, William J</creatorcontrib><creatorcontrib>Niederer, Rachael L</creatorcontrib><creatorcontrib>Danesh-Meyer, Helen V</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Australia & New Zealand Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>New Zealand medical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Low, Jackie</au><au>Cunningham, William J</au><au>Niederer, Rachael L</au><au>Danesh-Meyer, Helen V</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patient factors associated with appointment non-attendance at an ophthalmology department in Aotearoa New Zealand</atitle><jtitle>New Zealand medical journal</jtitle><addtitle>N Z Med J</addtitle><date>2023-04-14</date><risdate>2023</risdate><volume>136</volume><issue>1573</issue><spage>77</spage><epage>87</epage><pages>77-87</pages><issn>1175-8716</issn><eissn>1175-8716</eissn><abstract><![CDATA[Appointment non-attendance is a problem for medical outpatient clinics, which can result in interruption of continuity of care and poor health outcomes for patients. Furthermore, non-attendance creates a significant economic burden to the health sector. This study aimed to identify factors that are associated with appointment non-attendance in a large public ophthalmology clinic in Aotearoa New Zealand.
This study was a retrospective analysis of clinic non-attendance within Auckland District Health Board's (DHB) Ophthalmology Department between 1 January 2018 to 31 December 2019. Demographic data collected included: age, gender and ethnicity. Deprivation Index was calculated. Appointments were classified as new patients and follow-ups, and acute or routine. Categorical and continuous variables were analysed using logistic regression to assess likelihood of non-attendance. The research team's expertise and capacity align with the CONSIDER statement guidelines for Indigenous health and research.
In total, 52,512 patients were scheduled to attend 227,028 outpatient visits, of which 20,580 visits (9.1%) were not attended. Median age of patients who received one or more scheduled appointments were 66.1 years (interquartile range [IQR] 46.9-77.9). Fifty-one point seven percent of patients were female. Ethnicity comprised 55.0% European, 7.9% Māori, 13.5% Pacific peoples, 20.6% Asian and 3.1% Other. Multivariate logistic regression analysis for all appointments showed that males (odds ratio [OR] 1.15 p<0.001), younger patients (OR 0.99 p<0.001), Māori (OR 2.69 p<0.001), Pacific peoples (OR 2.82 p<0.001), higher deprivation status (OR 1.06 p<0.001), new patient appointments (OR 1.61 p<0.001) and patients referred to acute clinics (OR 1.22 p<0.001) were more likely to not attend appointments.
Māori and Pacific peoples disproportionately experience higher rates of appointment non-attendance. Further investigation of access barriers will enable Aotearoa New Zealand health strategy planning to develop targeted interventions addressing unmet patient needs of at-risk groups.]]></abstract><cop>New Zealand</cop><pub>Pasifika Medical Association Group (PMAG)</pub><pmid>37054457</pmid><doi>10.26635/6965.6011</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | New Zealand medical journal, 2023-04, Vol.136 (1573), p.77-87 |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
| subjects | Age Aged Appointments and Schedules Demographics Ethnicity Female Females Gender Health disparities Humans Male Males Medical personnel Medical research New Zealand Ophthalmology Outpatient care facilities Patient Compliance Patients Regression analysis Retrospective Studies Values |
| title | Patient factors associated with appointment non-attendance at an ophthalmology department in Aotearoa New Zealand |
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