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Expressed Emotion and Psychiatric Relapse a Meta-Analysis

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Expressed Emotion and Psychiatric Relapse a Meta-Analysis ORIGINAL ARTICLE Expressed Emotion and Psychiatric Relapse A Meta-analysis Ronald L. Butzlaff, AM; Jill M. Hooley, DPhil Background: Expressed emotion (EE) is a measure the effect sizes associated with EE for mood and eating of the family environment that has been demonstrated disorders. to be a reliable psychosocial predictor of relapse in schizophrenia. However, in recent years some promi- Results: The results confirmed that EE is a significant nent nonreplications of the EE-relapse relationship and robust predictor of relapse in schizophrenia. Addi- have been published. To more fully address the ques- tional analyses demonstrated that the EE-relapse rela- tion of the predictive validity of EE, we conducted a tionship was strongest for patients with more chronic meta-analysis of all available EE and outcome studies schizophrenic illness. Interestingly, although the EE con- in schizophrenia. We also examined the predictive struct is most closely associated with research in schizo- validity of the EE construct for mood disorders and phrenia, the mean effect sizes for EE for both mood dis- eating disorders. orders and eating disorders were significantly higher than the mean effect size for schizophrenia. Methods: An extensive literature search revealed 27 studies of the EE-outcome relationship in schizophre- Conclusion: These findings highlight the importance of nia. Using meta-analytic procedures, we combined the EE in the understanding and prevention of relapse in a findings of these investigations to provide an estimate broad range of psychopathological conditions. of the effect size associated with the EE-relapse relation- ship. We also used meta-analysis to provide estimates of Arch Gen Psychiatry. 1998;55:547-552 XPRESSED EMOTION (EE) is solely with respect to schizophrenia, EE a measure of the family is a more general predictor of poor out- environment that is based come across a range of conditions. Sec- on how the relatives of a ond, EE is a construct that is modifiable. psychiatric patient sponta- Results from several trials of family- Eneously talk about the patient. Assessed based treatment indicate that when during the Camberwell Family Interview family EE levels decrease, patients’ (CFI), relatives are classified as being relapse rates also fall.10 From a clinical high in EE if they make more than a perspective, these findings are clearly specified threshold number of critical very encouraging. comments or show any signs of hostility Given this, it is surprising that EE re- or marked emotional overinvolvement.1 mains a somewhat controversial con- In the last 15 years, the EE con- struct. However, based on the results of a struct has been extensively studied.2,3 small number of nonreplications, some cli- More than 20 studies, conducted in nicians and researchers have been quick many countries, have investigated the to conclude that EE is not a reliable pre- EE-relapse relationship in patients with dictor of relapse. This article represents an schizophrenia. In addition, there is a effort to examine this issue in a statisti- growing literature concerning the role of cally rigorous manner. Although aggre- EE in unipolar depression,4,5 bipolar dis- gate analyses of the EE literature do ex- order,6 and eating disorders.7 Expressed ist,11,12 we chose to meta-analyze the studies emotion has also been used in outcome because of the dangers of aggregating or studies of patients with dementia8 and pooling raw data without blocking, espe- 9 13 From the Department of diabetes mellitus. The results of these cially when using 232 tables. More- Psychology, Harvard investigations make 2 things clear. First, over, because meta-analysis provides a way University, Cambridge, Mass. rather than being a construct of interest to combine similar studies in a manner that ARCH GEN PSYCHIATRY/ VOL 55, JUNE 1998 547 Downloaded from www.archgenpsychiatry.com on October 12, 2010 ©1998 American Medical Association. All rights reserved. MATERIALS AND METHODS link, with longer durations of illness being associated with greater effect sizes. We classified the EE reports according to the mean chronicity of the patient sample studied LITERATURE SEARCH (Table 1). Our categorization criteria were as follows. In the first To be included, articles had to meet the following criteria: group were studies in which the majority of patients (.50%) (1) patient diagnosis of schizophrenia or schizoaffective dis- were experiencing their first hospitalization. Our second order or mood or eating disorder; (2) EE assessed using the category included studies with more heterogeneous samples, CFI administered at the time of the index hospitalization (one in which the mean chronicity of the patient sample was nei- exception14 was published before the CFI became the stan- ther very recent nor very chronic (eg, a sample that con- dard method for assessing EE); (3) EE used to predict re- tained 30% recent-onset patients but where the average num- lapse for 9 to 12 months; and (4) published data allowed an ber of prior hospitalizations was 2.8). The third category estimate of the effect size and significance level to be calcu- included studies with more chronic patients, where chronic lated. A total of 27 articles met these criteria. We excluded was defined as more than 3 prior hospital admissions or a 22 experimental articles for the following reasons: (1) the mean duration of illness of at least 5 years. CFI was not administered at intake; (2) the CFI was used to measure EE in nonfamily members (eg, nursing staff ); GEOGRAPHIC LOCATION (3) EE was used to predict something other than adult psy- chiatric relapse; (4) the sample subjects did not include both Recently, Bebbington and Kuipers12 used visual inspec- low- and high-EE families or the relapse data were not re- tion of a graph to conclude that there was no variation in ported for both groups; and (5) the report described data EE findings based on geographic location. We tested this that were also published elsewhere. hypothesis using an analysis of variance (ANOVA) method43 involving the Q statistic, which is much the same as a x2 STATISTICAL ANALYSIS statistic but using meta-analytic data. Following Bebbing- ton and Kuipers, studies were grouped according to their The studies’ data were cast into 232 tables of counts— most obvious broad geographic location (ie, Northern Eu- high vs low EE by relapsed vs not relapsed status. We chose rope, Southern Europe, North America, Australia, and Asia). to use w as our measure of effect size because of the prob- lems associated with other indices.15 In cases where au- EE AND OTHER PSYCHIATRIC CONDITIONS thors did not report the number of subjects relapsing in the high- and low-EE groups,16 we used a reliable formula Expressed emotion was developed as a psychosocial predic- for calculating an effect size estimate.15 Three other stud- tor of relapse in schizophrenia. However, several research- ies17-19 reported relapse rates of 0 for one of the EE groups. ers have documented the link between EE and relapse in pa- We used a correction suggested by Overall20 in calculating tients with mood disorders and eating disorders, such as the effect size estimates for these studies. anorexia and obesity. We chose to meta-analyze these stud- All effect size estimates were transformed into Fisher ies to establish the effect size of EE disorders other than schizo- z scores before any other calculations were done to ac- phrenia. Because the number of studies in these areas is lim- count for the nonnormal distribution of r.13 We also cal- ited, readers should view these findings as preliminary. culated the associated standard normal deviate z score for each study. This summary statistic is analogous to a t or F EE AND MOOD DISORDERS test in studies comparing differences between groups. Com- bining these z scores meta-analytically served as a test sta- Six studies have examined the relationship between EE tistic for the estimate of the overall significance of the com- and relapse in patients with major mood disorders bined average effect size estimate of the studies. Table 1 (Table 2).4-6,44-46 All found a positive association between EE details the studies used in this meta-analysis, noting the and relapse. However, because of the relatively small number corrections described above.5,14,16-19,21-41 ofstudiesthathavebeenconducted,thenumberofcriticalcom- Adistinctadvantageofmeta-analyticworkisthatitallows mentsrequiredtoclassifyfamiliesashigh-EEhasnotbeenfirmly us to use contrast analyses to statistically test hypotheses us- established. Cutoff scores of 2 criticisms5 and 3 criticisms4 seem ing all of the studies as our sample population. Below we de- to have validity in unipolar patients. For patients with bipo- scribe the methods used to code for these contrast analyses. lar disorder, a cutoff score of 6 critical comments (ie, the cut- off score used for schizophrenia) is the most appropriate.6 Our LENGTH OF ILLNESS results are based on cutoff scores of 2 and 3 for unipolar samples and 6 for bipolar samples. To facilitate future meta-analysis, In an earlier review,42 one of us (J.M.H.) suggested that there we encourage researchers to report relapse by varying levels might be a relationship between the duration of schizo- of critical comments, in addition to reporting the cutoff score phrenic illness and the magnitude of the EE-relapse that proves most significantly predictive. allows contrast analyses to be applied to the data, it al- RESULTS lows us to consider several factors that might increase or attenuate the strength of the EE-relapse link. Finally, HOW WELL DOES EE PREDICT RELAPSE because we investigate the effect size of EE as a predic- IN SCHIZOPHRENIA? tor of outcome in mood disorders and eating disorders, this article provides the first estimates of the effect sizes The simple answer to this question is: quite well.
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