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Joan Lindsay, Elizabeth Sykes, Ian McDowell, René Verreault, Danielle Laurin

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Alzheimer’s Disease, Genes, and Environment: The Value of International Studies
Hugh C Hendrie, Kathleen S Hall, Adesola Ogunniyi, Sujuan Gao

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Hidden Cardiac Lesions and Psychotropic Drugs as a Possible Cause of Sudden Death in Psychiatric Patients: A Report of 14 Cases and Review of the Literature

Dominique Frassati, Alain Tabib, Bernard Lachaux, Natalie Giloux, Jean Daléry, François Vittori, Dorothée Charvet, Cécile Barel, Bernard Bui-Xuan, Rachel Mégard, Louis Pierre Jenoudet, Jacques Descotes, Thierry Vial, Quadiri Timour

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The 5-Factor Model of Personality and Antidepressant Medication Compliance
Nicole L Cohen, Erin C Ross, R Michael Bagby, Peter Farvolden, Sidney H Kennedy

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Social, Demographic, and Clinical Factors Related to Disruptive Behaviour in Hospital
Andrea K Boggild, Marnin J Heisel, Paul S Links

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The Course of Depressive Illness in General Practice
Frédéric Limosin, PhD, Jean-Yves Loze, Myriam Zylberman-Bouhassira, Mark E Schmidt, Eléna Perrin, Frédéric Rouillon

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Prevalence and Incidence Studies of Mood Disorders: A Systematic Review of the Literature

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Bupropion Sustained Release Treatment Reduces Fatigue in Cancer Patients

Jodi L Cullum, Agnieszka E Wojciechowski, Guy Pelletier, J Steven A Simpson

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Patient Factors Associated With Missed Appointments in Persons With Schizophrenia
Shalom Coodin, Douglas Staley, Barb Cortens, Rob Desrochers, Sandy McLandress

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Aripirazole–Olanzapine Combination for Treatment of Schizophrenia

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Internalizing Antecedents of Conduct Disorder

Travel Time and the Use of Psychiatric Outpatient Clinic Services in Coastal Northern Norway

Respiratory Panic Disorder Treatment With Clonidine

Brief Communication

Patient Factors Associated With Missed Appointments in Persons With Schizophrenia

Shalom Coodin, MD, FRCPC1, Douglas Staley, MA2, Barb Cortens, BMR(OT)3, Rob Desrochers, RN, BA4, Sandy McLandress, RN4

 

Objective: There is limited research on factors that may predict missed appointments. This study examined correlates to missed appointments in a sample of persons attending an outpatient schizophrenia program.

Method: We measured the rate of missed appointments for 342 outpatients with severe and persistent mental illness (that is, with diagnoses of schizophrenia, schizoaffective disorder, and delusional disorder) attending a psychiatric outpatient clinic over a period of 2 years and 3 months. We collected and analyzed demographic and clinical variables to ascertain differences between patients with high and low rates of nonattendance.

Results: Patients who missed 20% or more of their appointments were significantly younger, were more likely to abuse drugs and alcohol, and manifested lower levels of community functioning.

Conclusions:This profile may be useful in helping clinicians to schedule appointments for this clinical population, to identify those who may need community outreach services, and to improve their treatment prospects.

(Can J Psychiatry 2004;49:145–148)

Click here for author affiliations.

Clinical Implications

  • Younger patients and those with concomitant substance abuse had higher rates of missed appointments.

  • Increased awareness of the risk factors associated with missed appointments may help clinicians to choose alternate approaches to outpatient care (for example, providing outreach visits or using an assertive community treatment team).

Limitations

  • The analysis examined only nurse therapist visits, which constitute most clinic sessions. It would be desirable to compare rates of missed appointments across disciplines, including data for psychiatrists and psychiatric residents.

  • Confirmation of our results is needed through randomized, placebo-controlled studies.

  • We did not use a concomitant measure of symptom severity.

  • Results of this study may not apply to the whole population of persons with schizophrenia and may exclude those who eschew contact with psychiatric services entirely as well as those obtaining care from a nontertiary care centre.


Key Words
: schizophrenia, missed appointments, nonattendance, Life Skills Profile, outpatient treatment

Résumé : Facteurs des patients associés aux rendez-vous manqués chez les personnes souffrant de schizophrénie

Nonattendance at outpatient appointments has been recognized worldwide as a significant clinical and systemic problem (1). Missed appointments are economically costly to mental health systems and personally costly to patients, who experience a greater risk of relapse and readmission to hospital (2).

Rates of missed appointments have been reported to be between 20% and 50% in various mental health settings (1). Previous research on missed appointments in both medical and mental health settings has provided conflicting findings, with some, but not all, researchers finding an association between missed appointments and low socioeconomic status, younger age, low level of education, a history of missed appointments, drug or alcohol abuse, poorer social functioning, having more severe psychiatric problems, and a poor relationship with the physician (2–6).

There are few reports examining such diagnostically specific groups as persons with schizophrenia. Our hypothesis, based on clinical experience, was that factors such as male sex, younger age, substance abuse, socioeconomically disadvantaged status, and unsupervised residence would result in poorer attendance.

Method

Subjects
Subjects were 342 outpatients between age 18 and 79 years, all of whom had a DSM-IV diagnosis of schizophrenia, schizoaffective disorder, or delusional disorder and attended a psychiatric outpatient clinic. Diagnoses were determined by the staff psychiatrists according to DSM-IV criteria. Data were retrieved for all nurse therapist appointments in the clinic. Community outreach visits were excluded because they were often arranged in a less formal, unscheduled, or drop-in fashion.

We examined rates of nonattendance for persons with appointments in the Schizophrenia Treatment and Education Program (STEP) operating out of an inner-city teaching hospital. STEP provides assessment, treatment, and follow-up services for persons with severe and persistent mental illness. Frequency of appointments is individualized according to patient medication regime, level of symptom control, present level of functioning, and current rehabilitative needs.

Procedure
We collected data retrospectively for the period May 1, 1998, to July 31, 2000. We obtained basic demographic information, including sex and age, when patients first entered the program. We collected information on education, primary income source, current residence type, and work status. For individuals who experienced changes in the aforementioned factors during the study period, we used the most functional level.

Instruments
Two additional measures were included to examine patient functional levels. First, we gathered information regarding lifetime history of substance abuse from clinician ratings based on patient self-report and clinician assessment.

Second, we administered the Life Skills Profile (LSP), a measure that allows for the assessment of functioning in persons with schizophrenia (7). The LSP provides a total score derived from 5 subscales that examine the following specific aspects of community functioning: Self-Care, Nonturbulence, Social Contact, Communication, and Responsibility. This instrument has been reported to have high interrater reliability and high test–retest reliability (7). The literature also suggests that LSP scores remain strikingly consistent over time (8). We administered the LSP within 3 months of the first outpatient contact and every 6 months thereafter. We used the most recent LSP score for data analysis.

Data Analysis
We chose the proportion of missed appointments as the most suitable measure for purposes of statistical analysis. The number of missed appointments was not an appropriate dependent variable because the total number of appointments per patient varied greatly (range 1 to 63). Examination of the data showed that a 20% cut-off value for missed appointments created 2 groups that were equivalent in terms of the mean number of missed appointments, which therefore controlled this possible confounding variable. We compared patients who missed less than 20% of their appointments (n = 162) with those who missed 20% or more of their appointments (n = 180).

We assessed differences between the groups with the chi- square test for categorical variables and the independent groups t-test for scaled variables. We used 2-tailed tests throughout and applied the Bonferroni correction to control for multiple comparisons.

Results

There were 5596 appointments during the period of the study, and of these, 1240 were missed (22.2%). Table 1 compares 2 groups (low and high nonattenders). There was no difference between groups in terms of the total number of appointments (16.71 vs 16.05). Between the 2 groups, age was the only demographic variable that showed a statistically significant difference: the average age at first appointment was approximately 3 years lower for patients who missed 20% or more of their appointments. For both groups, a history of substance abuse was also a statistically significant discriminating variable: patients with a greater proportion of missed appointments were rated as having more serious problems with drugs or alcohol.

Table 1  Demographic and psychometric characteristics of schizophrenia patients with low and high proportions of missed appointments 

  Proportion of missed appointments 

Variable 

0% to 19.9% 

20% to 100% 

Statistical test 

 

(n = 162) 

 (n = 180) 

 

Total number of appointments: mean (SD)  

16.71 (12.98) 

16.05 (13.11) 

t = 0.47 ns 

Age at first appointment (years): mean (SD)  

41. 95 (14.29) 

38.89 (13.10) 

t = 2.17, P < 0.05 

Life skills profile scores: mean (SD) 

 

 

 

   Self care    

34.68 (4.91) 

31.4  (6.22) 

t = 4.65, P < 0.001 

   Nonturbulence   

44.68 (4.46) 

42.50 (5.64) 

t = 3.46, P < 0.01 

   Social contact   

13.79 (4.35) 

12.50 (3.97) 

t = 2.51, P < 0.05 

   Communication    

21.32 (3.03) 

20.58 (2.93) 

t = 2.01, ns 

   Responsibility     

18.02 (2.29) 

16.09 (2.99) 

t = 5.83, P < 0.001 

   Total score 

132.49 (14.20) 

123.07 (16.45) 

t = 5.12, P < 0.001 

Sex (%) 

 

 

 

   Men 

64.8 

65.0 

c2 = 0.01, ns 

   Women 

35.2 

35.0 

 

Education (%) 

 

 

 

   Grade 8 or less 

24.2 

27.4 

 

   Grade 9 to 13 

65.1 

67.1 

c2 = 3.07, ns 

   Post high school 

10.7 

5.5 

 

Work status (%) 

 

 

 

   Unemployed 

85.7 

87.2 

c2 = 0.05, ns 

   Employed 

14.3 

12.8 

 

Primary income (%) 

 

 

 

   Social assistance or disability income  

82.3 

89.9 

 

   Family income 

8.2 

3.9 

c2 = 4.43, ns 

   Employment income 

7.0 

4.5 

 

   Other 

2.5 

1.7 

 

Residence type (%) 

 

 

 

   Independent 

74.1 

69.1 

 

   Assisted or supervised 

25.3 

29.2 

c2 = 1.59, ns 

   Homeless or correctional facility 

0.6 

1.7 

 

History of substance use (%) 

 

 

 

   Never a problem 

56.2 

36.7 

 

   Past but not active problem 

22.8 

26.7 

c2 = 17.59, P < 0.001 

   Current active problem 

10.5 

25.0 

 

   Unknown 

10.5 

11.7 

 

Discussion

The rate of missed appointments in our study is consistent with the literature. In contrast to others, our study examined attendance rates in a relatively diagnostically homogeneous group. When we examined demographic variables, younger age was associated with greater risk of missing appointments. This may be associated with ambivalence regarding diagnosis and treatment. Younger age of onset has been associated with a greater risk of having concomitant substance use (9), which strongly related to rates of missed appointments in our study. Individuals who tended to miss appointments demonstrated impaired judgement and insight, reflected in lower scores on the Responsibility subscale of the LSP. Those in the high missed appointments group had lower scores on the LSP Social Contact subscale, likely reflecting greater social withdrawal as a result of their illness.

Contrary to our initial hypothesis, residence in a supervised group home did not result in better attendance. Similarly, education, work status, and income source had no effect on attendance. Our findings suggest that functional level is a stronger predictor of attendance than are socioeconomic factors.

Limitations in the study include our restricting the analysis to visits with nurse therapists and the lack of a concomitant measure of symptom severity. We are aware of the difficulty in applying the results of grouped data to individuals in clinical practice. Ideally, it would be valuable to examine individual patterns of attendance to apply this in treatment planning. However, this was beyond the scope of the present study.

Conclusion

It may be possible for clinicians to better predict attendance at outpatient follow-up appointments based on an individual’s functional level. Clinicians should be aware of such factors as substance abuse, lack of responsibility, and other functional deficits. Being able to predict the likelihood of missed appointments can also assist with scheduling professional time and, ultimately, improve patient care.


References

1. Mason C. Non-attendance at out-patient clinic: a case study. J Adv Nurs 1992;17:554–60.

2. Killaspy H, Banerjee S, King M, Llyod M. Prospective controlled study of psychiatric out-patient non-attendance. Br J Psychiatry 2000;176:160–5.

3. Campbell B, Staley D, Matas M. Who misses appointments? An empirical analysis. Can J Psychiatry 1991;36:223–5.

4. Mooney DK, Johson RD. Rural mental health appointment adherence: implications for therapy. Community Ment Health J 1992;28:135–9.

5. Barron WM. Failed appointments: who misses them, why they are missed and what can be done. Primary Care 1980;7:563–74

6. Goldman L, Freidin R, Cook F, Eigner J, Grich P. A multivariate approach to the prediction of no-show behavior in a primary care center. Arch Intern Med 1982;142:563–7.

7. Parker G, Rosen A, Emdur N, Hadzi-Pavlov D. The Life Skills Profile: psychometric properties of a measure assessing function and disability in schizophrenia. Acta Psychiatr Scand 1991;83:145–52.

8. Trauer T, Duckmanton A, Chiu E. The assessment of clinically significant change using the Life Skills Profile. Aust N Z J Psychiatry 1997;31:257–63.

9. Gearon JS, Bellack AS. Sex differences in illness presentation, course, and level of functioning in substance abusing schizophrenia patients. Schizophr Res 2000;43:65–70

Author(s)

Manuscript received July 2002, revised, and accepted April 2003.

1. Medical Director, Program of Assertive Community Treatment, Winnipeg Regional Health Authority, Winnipeg, Manitoba; Associate Professor, Department of Psychiatry, University of Manitoba, Winnipeg, Manitoba. .

2. Research Associate, Department of Psychiatry, St Boniface Hospital, Winnipeg, Manitoba.

3. Occupational Therapist, Schizophrenia Treatment and Education Program, PsycHealth Centre, Winnipeg, Manitoba.

4. Nurse Therapist, Schizophrenia Treatment and Education Program, PsycHealth Centre, Winnipeg, Manitoba

Address for correspondence: Dr S Coodin, Department of Psychiatry, University of Manitoba, 492 Hargrave St, Winnipeg, MB R3A 0X7

email: scoodin@wrha.mb.ca

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