| | Dealing with anxiety: A pilot cognitive behavioural therapy program for diabetic clinic outpatient attendeesReceived 19 December 2009; accepted 20 December 2009. published online 01 February 2010. Abstract AimsTo assess a group-based cognitive behaviour therapy [CBT] program in diabetes. MethodsSixty people with diabetes were randomly allocated to either immediate (29) or 3 months delayed (31) CBT groups. ConclusionsThe CBT program led to short-term improvements in anxiety, depression, stress and quality of life. 1. Introduction  In Australia, 7.4% of the adult population has diabetes [1]. Diabetes complications are the major cause of associated morbidity and mortality, hence the major aim of diabetes management is to prevent or minimise complications [2]. Diabetes is a demanding illness and having co-morbid anxiety or depression makes it all the more difficult to carry out the activities recommended to achieve better diabetic control and thereby reduce risk of complications [3]. Many of the clinical interventions in diabetes treatment programs are group based in format and range from self-management training to psychotherapy [4]. In type 2 diabetes, psychological interventions have already been shown to result in improvements in HbA1C [3], [6] and depression outcomes [3], [5], [7]. There are, however, conflicting reports on psychosocial outcomes and no studies of quality of life post psychological intervention [4]. The Royal Newcastle Hospital [RNH] is a public teaching hospital providing free outpatient care for most of the people with diabetes in the sixth largest city in Australia. Its diabetes outpatient population has a higher prevalence of anxiety and depression compared to the general public [8]. Aware of this, we designed a study to assess whether a cognitive behaviour therapy [CBT] program for diabetes clinic patients was acceptable, improved quality of life and produced measurable change in levels of depression, anxiety and stress. 2. Methods  2.1. Recruitment of subjects People who attended the Hunter Area Diabetes Services RNH Diabetes Outpatient Clinic were offered written information about participating in the Dealing with Anxiety [DWA] Group CBT Program. Those who consented to phone contact were sent information packages by mail. Consenting volunteers were then randomly allocated to an immediate intervention CBT group or a CBT group in 3 months time [delayed intervention group]. There was no formal screening test for co-morbid psychiatric disorder but all patients were evaluated by a family practitioner experienced in psychiatry. One patient was excluded because of a borderline personality. This study was approved by the Hunter New England Research Ethics Committee clinical trial registration number NCT00659932. 2.2. Intervention The DWA CBT Program comprised seven group sessions: an initial 5 h session followed by six 3 h sessions over a 3 months period. The core program was cognitive behavioural therapy adapted from the Generalised Anxiety Disorder Patient Treatment Manual, of St. Vincent’s Hospital, Sydney with the addition, of diabetes specific resources. The intervention was delivered by one person. Participants were asked to complete individual homework tasks between group sessions, based on the session content. Each participant also had an individual consultation, ranging from 1 to 2 h duration, in between sessions 1 and 2 or sessions 2 and 3. Individuals with Depression Anxiety Stress Scale [DASS] [9] scores in the severe or extremely severe ranges were encouraged to consult their family General Practitioner for additional support. 2.4. Measures Demographics included the basic descriptive data of age, gender, BMI, age ceased full time education, years since diagnosis of diabetes, type of treatment [lifestyle, oral medication, insulin], number of diabetes related complications and number of diabetes associated co-morbidities. Evaluation of satisfaction with the conduct of the sessions was completed after each of the seven sessions, using a participant feedback questionnaire with eight items to assess process [e.g., comfort with conduct of group] and content [e.g., appropriateness/value of session content, identification of content needing improvement]. General comments were also invited. Psychological instruments used were the DASS and the ADDQoL. The DASS is a set of three 14 item self-report scales designed to measure the negative emotional states of depression, anxiety and stress [nine Subjects are asked to use a 4 point severity/frequency scale to rate the extent to which they have experienced each state over the past week. As the essential development of the DASS was carried out with non-clinical samples, it is suitable for screening normal adults. The principal clinical value of the DASS is to clarify the locus of emotional disturbance and to assess the severity of the core symptoms of depression, anxiety and stress. It also gives recommended cut-offs for conventional severity levels [normal, mild, moderate, severe, extremely severe]. It does not measure suicidality. The ADDQoL is a 20 item questionnaire that measures perceived quality of life in general [QI, two items] and in relation to living with diabetes [QII, 18 items] [10]. It weights each score by the person’s rating of importance [from −9 to +9], reflecting the most negative to the most positive impact of diabetes on that domain. A zero score means no impact of diabetes on the person for that domain and/or the domain is not important to that person. An average of these scores measures the overall impact of diabetes on an individual’s perceived quality of life. 2.5. Statistical analysis Data analysis was performed by the second author [TL], using Excel and SPSS software [version 14.0, SPSS Inc., Chicago, Ill, USA], and comprised two main elements: firstly, an analysis of the initial treatment effect [using data from time 1 and time 2]; and, secondly, an examination of the persistence of treatment effects and the consequences of delaying treatment [using data that were re-aligned to reflect the same treatment and follow-up phases]. Initial treatment effects were assessed using 2 × [2] repeated measures ANOVAs [treatment status by time], where the “treatment group” received immediate treatment [IM] [i.e., pre- to post-treatment changes] and the “control group” consisted of the delayed treatment group [DL] [i.e., baseline to pre-treatment changes]. In order to demonstrate whether the treatment effect persisted, the data were re-aligned into the four main phases [pre- and post-treatment, and 3- and 6-month follow-ups]. In view of the fluctuations in sample size across these phases, planned comparisons were examined between all pairs of phases [from repeated measures ANOVAs]. As a partial control for the number of statistical tests, the threshold for significance was set at P < 0.01. Given the pilot nature of this study, we also report as “possible trends” [i.e., for consideration in future studies] statistical tests in the range P > 0.01 and <0.10. To facilitate discussion, differences are also expressed in standardised [effect-size] units, which were obtained by dividing the raw differences by the relevant grand standard deviation for the outcome of interest [based on all available data]. We also conducted a parallel series of traditional intention-to-treat [ITT] [11]. For these analyses, missing follow-up data were imputed by carrying forward the last available observation. 3. Results  3.1. Sample characteristics The characteristics of the patients were as follows: age [n = 60], mean 57.1, range 22–84; gender [n = 60], 35 male, 25 female; BMI [n = 45], mean 34.5, range 19.5–62.3; age ceased full time education [n = 56], mean 16.1, range 11–28; years since diagnosis of diabetes [n = 56], mean 14.3, range 1–45; number of diabetes related complications [including eyes, kidneys, blood vessels, feet, limbs, sexual dysfunction] [n = 57], mean 1.77 range 0–5; number of diabetes associated co-morbidities [including hypertension, obesity, lipids disorders] [n = 57], mean 1.84, range 0–3. For the majority of people who failed to complete the programme either ill health or conflicting appointments led to automatic exclusion for missing two or more sessions. 3.2. Initial treatment effect [Table 1] 3.2.1. HbA1C Haemoglobin A1C rose significantly from time 1 to time 2 [P = 0.003], reflecting a progression of the disease over time. | | |  | Outcome measure | Group [G] | Time [T] | Statistically significant differences [estimated effect size] |  |
|---|
 | Time 1 [T1] | Time 2 [T2] |  |
|---|
 | Mean [SD] | Mean [SD] |  |
|---|
 | HbA1C | IM [n = 13] | 8.33 [1.44] | 8.97 [1.92] | T: F[1,31] = 10.00, P = 0.003∗ |  |  | | DL [n = 20] | 7.41 [1.64] | 8.02 [1.83] | |  |  |
|  |  | General quality of life | IM [n = 18] | 0.61 [0.61] | 0.67 [0.97] | |  |  | [ADDQoL – QI] | DL [n = 25] | 0.60 [1.04] | 0.48 [1.12] | |  |  |
|  |  | Diabetes specific quality of life | IM [n = 18] | −1.22 [1.17] | −0.94 [0.94] | T: F[1,41] = 8.58, P = 0.006∗ |  |  | [ADDQoL – QII] | DL [n = 25] | −1.64 [0.95] | −1.20 [1.19] | [−0.36] |  |  |
|  |  | Depression | IM [n = 18] | 13.50 [12.37] | 8.94 [12.22] | G × T: F[1,40] = 3.40, P = 0.073# |  |  | [DASS] | DL [n = 24] | 14.13 [11.38] | 15.83 [12.49] | [IM: 0.39 vs. DL: −0.15] |  |  |
|  |  | Anxiety | IM [n = 18] | 9.72 [9.90] | 8.56 [10.82] | G x T: F[1,40] = 2.98, P = 0.092# |  |  | [DASS] | DL [n = 24] | 10.38 [8.07] | 12.04 [9.68] | [IM: 0.13 vs. DL: −0.19] |  |  |
|  |  | Stress | IM [n = 18] | 15.06 [11.63] | 13.06 [12.54] | G x T: F[1,40] = 4.11, P = 0.049# |  |  | [DASS] | DL [n = 24] | 15.96 [10.20] | 18.21 [11.68] | [IM: 0.17 vs. DL: −0.20] |  | | | |
3.2.2. ADDQoL Although there was no change in general quality of life [ADDQoL – QI], there was an overall improvement in diabetes specific quality of life [ADDQoL – QII] between time 1 and time 2 [P = 0.006], probably reflecting time since diagnosis. 3.3. Duration of treatment effect [Table 2] The “phase effects” column in Table 2 refers to overall differences between pairs of study phases in the delayed and immediate intervention group. | | |  | Outcome measure | Group [G] | Phase [all available data] | Statistically significant differences [Estimated effect size] |  |
|---|
 | Pre [PR] | Post [PO] | 3 months [3 M] | 6 months [6 M] | Phase effects | Interaction effects |  |
|---|
 | Mean [SD, n] | Mean [SD, n] | Mean [SD, n] | Mean [SD, n] |  |
|---|
 | HbA1C | IM | 8.23 [1.64, 24] | 8.69 [1.95, 15] | 8.98 [2.06, 8] | 8.78 [1.29, 12] | | G × PR vs. PO: F[1,24] = 9.06, P = 0.002∗ |  |  | | DL | 7.90 [1.74, 23] | 6.97 [1.24, 14] | 6.90 [1.01, 13] | 6.99 [0.93, 10] | | |  |  | | OV | 8.06 [1.68, 47] | 7.86 [1.84, 29] | 7.69 [1.78, 21] | 7.97 [1.44, 22] | | |  |  |
|  |  | General quality of life [ADDQoL – QI] | IM | 0.55 [0.69, 29] | 0.67 [0.97, 18] | 0.38 [1.19, 13] | 0.67 [1.05, 15] | PR < PO: F[1,32] = 2.89, P = 0.099# [−0.26] | |  |  | | DL | 0.38 [1.20, 26] | 1.00 [1.03, 16] | 0.87 [0.83, 15] | 0.92 [1.12, 13] | | |  |  | | OV | 0.47 [0.96, 55] | 0.82 [1.00, 34] | 0.64 [1.03, 28] | 0.79 [1.07, 28] | | |  |  |
|  |  | Diabetes specific quality of life [ADDQoL – QII] | IM | −1.45 [1.02, 29] | −0.94 [0.94, 18] | −1.31 [1.03, 13] | −1.19 [0.75, 16] | PO > 3 M: F[1,23] = 9.11, P = 0.006∗ [0.23] | G × PO vs. 3 M: F[1,23] = 4.31, P = 0.049# [IM: 0.41 vs. DL: 0.07] |  |  | | DL | −1.23 [1.18, 26] | −1.19 [1.11, 16] | −1.27 [1.10, 15] | −1.23 [1.09, 13] | PO > 6 M: F[1,26] = 3.00, P = 0.095# [0.22] | |  |  | | OV | −1.35 [1.09, 55] | −1.06 [1.01, 34] | −1.29 [1.05, 28] | −1.21 [0.90, 29] | | |  |  |
|  |  | Depression [DASS] | IM | 15.31 [11.98, 29] | 8.94 [12.22, 18] | 13.29 [13.62, 14] | 9.94 [11.09, 16] | PR > PO: F[1,31] = 10.27, P = 0.003∗ [0.39] | |  |  | | DL | 16.24 [12.39, 25] | 8.25 [8.43, 16] | 7.47 [7.72, 15] | 10.00 [11.61, 13] | PR > 3 M: F[1,27] = 6.24, P = 0.019# [0.34] | |  |  | | OV | 15.74 [12.07, 54] | 8.62 [10.46, 34] | 10.28 [11.16, 29] | 9.97 [11.12, 29] | PO < 6 M: F[1,26] = 3.27, P = 0.082# [−0.12] | |  |  |
|  |  | Anxiety [DASS] | IM | 11.66 [9.48, 29] | 8.56 [10.82, 18] | 10.86 [10.44, 14] | 8.44 [10.00, 16] | PR > PO: F[1,31] = 12.26, P = 0.001∗∗ [0.34] | G × PR vs. PO: F[1,31] = 5.04, P = 0.032# [IM: 0.13 vs. DL: 0.60] |  |  | | DL | 12.00 [9.47, 25] | 4.56 [3.74, 16] | 6.33 [7.35, 15] | 9.46 [9.13, 13] | PR > 3 M: F[1,27] = 6.34, P = 0.018# [0.25] | G × PR vs. 3 M: F[1,27] = 4.06, P = 0.054# [IM: 0.05 vs. DL: 0.43] |  |  | | OV | 11.81 [9.39, 54] | 6.68 [8.41, 34] | 8.52 [9.11, 29] | 8.90 [9.47, 29] | PO < 6 M: F[1,26] = 4.01, P = 0.056# [−0.18] | G × PO vs. 6 M: F[1,26] = 4.01, P = 0.056# [IM: 0.00 vs. DL: −0.43] |  |  | | | | | | | | G × 3 M vs. 6 M: F[1,22] = 3.66, P = 0.069# [IM: 0.09 vs. DL: −0.32] |  |  |
|  |  | Stress [DASS] | IM | 17.14 [11.20, 29] | 13.06 [12.54, 18] | 15.57 [12.81, 14] | 13.31 [11.30, 16] | PR > PO: F[1,31] = 9.95, P = 0.004∗ [0.37] | G × PR vs. PO: F[1,31] = 3.00, P = 0.093# [IM: 0.17 vs. DL: 0.60] |  |  | | DL | 18.48 [11.52, 25] | 10.44 [10.11, 16] | 12.07 [12.52, 15] | 13.46 [11.49, 13] | PR > 3 M: F[1,27] = 7.29, P = 0.012# [0.33] | |  |  | | OV | 17.76 [11.26, 54] | 11.82 [11.37, 34] | 13.76 [12.56, 29] | 13.38 [11.18, 29] | | |  | | | |
3.3.1. HbA1C There were no overall differences in haemoglobin A1C between any pair of study phases. 3.3.3. DASS Modest improvements, of approximately one-third of a standard deviation, were detected between pre- and post-treatment for each of the DASS measures [depression, P = 0.003; anxiety, P = 0.001; stress, P = 0.004], which largely remained at 3-months [depression, P = 0.019; anxiety, P = 0.018; stress, P = 0.012]. However, comparisons between post-treatment and 6-months suggested that there was a tendency for depression [P = 0.082] and anxiety [P = 0.056] symptoms to re-emerge. 3.4. Effect of delaying treatment [Table 2] The “interaction effects” column in Table 2 documents the extent to which delaying treatment impacted on the differences between pairs of study phases. 3.4.2. ADDQoL As shown in Table 2, diabetes specific quality of life [ADDQoL – QII] changed little among the DL group. However, there was a tendency for the IM group to deteriorate between post-treatment and 3-months [P = 0.049]. 3.4.3. DASS On the DASS anxiety [P = 0.032] and stress [P = 0.093] measures, there was a tendency for the DL group to experience a more marked reduction in symptoms between pre- and post-treatment, as well as between pre-treatment and 3-months on the anxiety measure [P = 0.054]. However, this treatment benefit was relatively short-term, as anxiety scores at 6-months were higher among the DL group than at post-test [P = 0.056] or 3-months [P = 0.069] relative to the IM group, who displayed similar scores at post-treatment and 6-months. As the primary focus of the study was on treatment efficacy, the ITT analyses were regarded as secondary. All of the planned comparisons reported in Table 1 retained comparable levels of statistical significance after imputation of missing data. Likewise, all of the statistically significant effects in Table 2 remained significant in the ITT analyses. However, probably because of the high loss to follow-up, 7 of the 13 “trends” identified in Table 2 would not have remained in that category based on the ITT analyses, all of which involved comparisons with the post-treatment phase. 4. Discussion  This preliminary study was limited by its relatively small sample size, with recruitment restricted to a public tertiary clinic setting. Small numbers, and missing data at follow-up, limit confidence in the study’s findings. On the other hand, acceptability of the program was high, with 64% of participants completing initial and final assessments and providing exceptionally positive feedback, with overwhelming requests for additional CBT programs with increased numbers of sessions of longer duration. Participants in the CBT program tended to improve on all three psychological domains [i.e., depression, anxiety and stress], with initial reductions of approximately one-third of a standard deviation. On average, DASS scores tended to drop from the moderate to the normal range initially, and then to drift upwards to the mild range over time, suggesting more intensive or longer interventions may be needed to produce sustained benefits. General and diabetes specific quality of life also tended to improve in the short-term, despite the fact that actual diabetic control worsened. Interestingly, the delayed treatment group unexpectedly derived more benefit from treatment, at least initially, with greater improvements in depression, anxiety and stress than the immediate treatment group. They also had a reduction in HbA1C levels whilst the other group’s HbA1C rose. This may reflect treatment of undiagnosed psychiatric co morbidity by other clinicians in the intervening period. It is also possible that waiting and being under observation influenced the participants’ motivation. Alternatively, those allocated to the delayed group may have experienced a longer period of distress prior to receiving treatment and, developed a different set of treatment needs, expectations or preparedness. Against this during follow-up the delayed treatment group tended to experience a worsening on all of the psychological domains. Moreover, there were no significant differences between pre-treatment and the 6-month follow-up on any of the measures assessed. Future research is encouraged to determine, firstly, whether these preliminary results are reproducible in similar and/or different clinical settings and, secondly, whether a delayed intervention is more efficacious than an immediate intervention A stepped care approach may be worth considering, for example, by offering further participation in the group program to those who showed an initial post-treatment benefit but declined substantially by the 3-month follow-up. Consideration also needs to be given to identifying selection/exclusion criteria and measures to enhance program completion. It may be desirable to stratify individuals into clinically similar groups with respect to severity of depression, anxiety and stress scores and then to target the intervention to those at or above a given severity score, r to make best use of limited resources. It would also be desirable to compare different CBT delivery methods [e.g., individual, group, computer, internet based] and modes of support [e.g., face to face, telephone, email] by various health professionals [e.g., diabetes nurse educators, practice nurses, psychologists, social workers, doctors]. References  [1]. [1]Dunstan DW, Zimmet MD, Welborn TA, de Courten MP, et al. The rising prevalence of diabetes and impaired glucose tolerance. The Australian diabetes, obesity and lifestyle study. Diabetes Care. 2002;25:829–834. MEDLINE |
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Department of Endocrinology, Sunnybrook Health Sciences Centre, Room H145, 2075 Bayview Avenue, Toronto, Ontario, Canada M4N 3M5 Corresponding author. Tel.: +1 416 480 6948; fax: +1 416 480 4250.
PII: S1877-5934(09)00067-8 doi:10.1016/j.ijdm.2009.12.010 © 2009 International Journal of Diabetes Mellitus. Published by Elsevier Inc. All rights reserved. | |
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