A demographic study to profile non-attenders at a gynaecology outpatient clinic.
Publication details: 2012ISSN:- 01443615
- Journal of obstetrics and gynaecology
Item type | Home library | Collection | Class number | Status | Date due | Barcode | |
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Book | Ferriman information and Library Service (North Middlesex) Shelves | Staff publications for NMDX | Available |
NMUH Staff Publications
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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 &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 &gt; 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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