Division of Gastroenterology, Ulster Hospital, Dundonald, Belfast BT16 1RH, Northern Ireland, UK
Correspondence to: Dr T Tham E-mail: ttham{at}utvinternet.com
| SUMMARY |
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103 patients missed their appointment (14% of the total invited); 3 had died. The remaining 100 were asked to complete questionnaires, 68 by mail (43 returned) and 32 by telephone (30 successful); the response rate was thus 73%. 49 of the respondents were new patients, 6 of them with urgent referrals. The explanations for non-attendance by the 73 patients were: forgot to attend or to cancel (30%); no reason (26%); clerical errors (10%); felt better (8%), fearful of being seen by junior doctor (3%); inpatient in another hospital (3%); miscellaneous other (20%). 13 (27%) of the review patients had not kept one or more previous appointments. The non-attendance rates for different clinics ranged from 10% to 25% (average 14%).
A substantial number of non-attenders claimed to have forgotten their appointment or to cancel it. If, as we surmise, this reflects apathy, no strategy to improve attendance is likely to have great impact. Since the non-attendance rate is reasonably constant, it can be taken into account when patients are booked.
| INTRODUCTION |
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6 million appointments were missed in the UK in the period 1996-97. Non-attendance affects all specialties medicine, surgery, general practice, dentistry7,8,9,10. Most investigations of causal factors have had low response rates (30-40%)1,11,12 and are difficult to interpret. In the current study we obtained a response rate of 73%.
| METHODS |
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The following were recorded: patient's reason for referral; whether the patient had failed to attend before; and whether the patient was a new or follow-up patient. The patient was asked why he or she had not kept the appointment, the options being forgot to attend or cancel, feeling better/symptoms gone, unnecessary appointment, wanted second opinion, or other. Two follow-up questions were asked do you plan to re-attend the clinic? and have you ever not attended a clinic before?
| RESULTS |
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The mean age of patients was 49 years (range 14-85), 46% male. 49 were new, of whom 6 were urgent referrals. Of the 51 review patients, 12 (25%) had failed to attend on one previous occasion and 2 twice before. 45% of respondents stated they would attend if given another appointment, 20% that they would not. Explanations for non-attendance were: forgot to attend or cancel appointment (30%), no reason (26%), clerical errors (10%), feeling better (8%), fearful of junior medical staff (3%), inpatient at the time in another hospital (3%), other (20%, Table 1). 27 patients had missed other appointments, 2 of them more than twice before.
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Of the patients who said they had forgotten their appointment, some gave reasonsillness (6), change of job and location (2), on holiday (1).
Table 2 indicates diagnoses of non-attenders.
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| DISCUSSION |
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Were the answers given by patients truthful? It was made clear to them that their answers would be confidential and would not prejudice their future clinical management. In fact, 3 stated a fear of seeing a junior doctor and one was critical of the inpatient management received.
Non-attendance is not confined to the NHS. Dermatology clinics in the USA recorded a rate of 17% overall. The highest US rates, however, were found in the state-supported categories (26%) while the lowest were in commercial insurance programme schemes (13%). So the risk of non-attendance seems to be related to payer type15.
How can attendance be improved? Giving the patient a copy of the referral letter has proved ineffective in one study16. The use of appointment remindersletters and telephone callsreduced non-attendance from 24% to 14%17. Although specific targeting of patients who have failed to attend in the past may prove cost-effective, the long-term effectiveness of such reminders in doubtful18. The relative success of telephone reminders may partly reflect socioeconomic factors such as having a telephone19.
A change in the actual appointment system has been suggested by Garton et al20. They achieved a reduction in non-attendance rates by asking the patients to make their own appointments and confirm their intention to attend these. Their clinic was an osteoporosis screening programmenot a clinic like ours with a mixture of new and review patientsso the applicability may be limited.
Jones and Hedley11 reported that, when non-attenders completed a questionnaire on why they had failed to attend and were asked whether the new appointment was acceptable, their subsequent attendance rates improved. However, since most of these measures require a degree of patient motivation, they are unlikely to have much impact in a clinic such as ours where much of the non-attendance seems to reflect apathy. Furthermore, these interventions require additional secretarial and clerical support with resource implications.
The use of a health belief model to improve attendance rates in patients with chronic conditions has been judged unhelpful; however, one study in patients with systemic lupus erythematosus did show a modest gain21. If communication between patient and physician is improved, with a subsequent increase in interest, then there can be a positive effect on attendance22. With only 3% of all non-attendance in our study seemingly due to communication difficulties this would have little impact on our group.
Do all the patients called for review actually need to be seen again23,24? The question is important, especially since 8% of our group did not attend because they felt well. Are these patients overloading the system, so delaying review for others and increasing the chance they will forget25? Bowman et al.26 have shown that shorter waiting times give better attendance rates for first appointments.
Our solution to non-attendances is more pragmatic. Clinics should expect a certain proportion not to attend and overbook to take this into account. In most instances the fluctuations would be manageable. The argument against overbooking is made by Sharp and Hamilton27. They feel it might be counterproductive since 100% attendance puts pressure on both patients and staff, and appointment times would be rarely met. In the present climate, value for money and maximum use of resources are prime considerations. This includes staff as well as other resources such as equipment and hospital buildings. Total time spent waiting to be seen is probably the most important factor affecting patient satisfaction. Moreover, if patients are kept informed of the waiting time, satisfaction can be improved28.
A system of electronic booking of outpatient appointments is the government's ultimate aim. In the future the patient and general practitioner will sit down together and arrange an appointment for an exact date and time to suit the patient. This will require a large investment in information technology for both general practice and hospitals. Whether it will reduce non-attendance rates remains to be seen. Meanwhile, overbooking is a temporary solution that can be implemented immediately without major expenditure.
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