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A demographic study to profile non-attenders at a gynaecology outpatient clinic.

By: Contributor(s): Publication details: 2012ISSN:
  • 01443615
Uniform titles:
  • Journal of obstetrics and gynaecology
Online resources: Summary: Missed <span class="highlight" style="background-color:">outpatient</span> appointments result in the inefficient utilisation of resources and have secondary effects on the health of the <span class="highlight" style="background-color:">non-attenders</span>, as well as on other patients who have to wait longer for their appointments. The first part of the <span class="highlight" style="background-color:">study</span> involved retrospective analysis of trends of non-attendance based on a computerised database of all <span class="highlight" style="background-color:">gynaecology</span> appointments over 12 months. The second comprised a prospective case-control <span class="highlight" style="background-color:">study</span> in which women who missed their <span class="highlight" style="background-color:">gynaecology</span> <span class="highlight" style="background-color:">outpatient</span> appointments (index cases) over 2 months were compared with patients who attended the same clinics matched for indication for referral (control cases). The overall non-attendance rate over 12 months was 16.1%, of whom 42% were recurrent <span class="highlight" style="background-color:">non-attenders</span>. Data from 105 defaulters were compared with 105 non-defaulters who attended the same clinics. Defaulters were significantly younger, single or separated and were more likely to be 'follow-ups' rather than new cases (all p < 0.05). Longer intervals between the appointment letter and actual appointment date was significantly related to non-attendance (p = 0.01) and there was a trend to a greater degree of smoking and alcohol ingestion in the defaulter group (p = 0.059). Comparison of other variables such as severity of symptoms, parity, source of referral and fluency of English did not reach statistical significance (p > 0.05). This prospective <span class="highlight" style="background-color:">study</span> has demonstrated certain profiles which are common to defaulters and which can be used to develop strategies to minimise non-attendance. Examples include reducing the time interval between sending the appointment letter and actual appointment date and selectively over-booking younger, single women who smoke.
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Missed &lt;span class="highlight" style="background-color:"&gt;outpatient&lt;/span&gt; appointments result in the inefficient utilisation of resources and have secondary effects on the health of the &lt;span class="highlight" style="background-color:"&gt;non-attenders&lt;/span&gt;, as well as on other patients who have to wait longer for their appointments. The first part of the &lt;span class="highlight" style="background-color:"&gt;study&lt;/span&gt; involved retrospective analysis of trends of non-attendance based on a computerised database of all &lt;span class="highlight" style="background-color:"&gt;gynaecology&lt;/span&gt; appointments over 12 months. The second comprised a prospective case-control &lt;span class="highlight" style="background-color:"&gt;study&lt;/span&gt; in which women who missed their &lt;span class="highlight" style="background-color:"&gt;gynaecology&lt;/span&gt; &lt;span class="highlight" style="background-color:"&gt;outpatient&lt;/span&gt; appointments (index cases) over 2 months were compared with patients who attended the same clinics matched for indication for referral (control cases). The overall non-attendance rate over 12 months was 16.1%, of whom 42% were recurrent &lt;span class="highlight" style="background-color:"&gt;non-attenders&lt;/span&gt;. Data from 105 defaulters were compared with 105 non-defaulters who attended the same clinics. Defaulters were significantly younger, single or separated and were more likely to be 'follow-ups' rather than new cases (all p &amp;lt; 0.05). Longer intervals between the appointment letter and actual appointment date was significantly related to non-attendance (p = 0.01) and there was a trend to a greater degree of smoking and alcohol ingestion in the defaulter group (p = 0.059). Comparison of other variables such as severity of symptoms, parity, source of referral and fluency of English did not reach statistical significance (p &amp;gt; 0.05). This prospective &lt;span class="highlight" style="background-color:"&gt;study&lt;/span&gt; has demonstrated certain profiles which are common to defaulters and which can be used to develop strategies to minimise non-attendance. Examples include reducing the time interval between sending the appointment letter and actual appointment date and selectively over-booking younger, single women who smoke.

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