Literature DB >> 35996532

Survey of High Expressed Emotions Experienced By Community Mental Health Service Users in Hong Kong During the COVID-19 Pandemic.

Siu-Man Ng1, Siyu Gao2, Amenda Man Wang1, Christine Cheuk3, Jane Li3, Melody Hiu-Ying Fung1.   

Abstract

Background: High expressed emotion (EE) experienced by people with mental illness is a known risk factor of relapse. With drastically increased time spent at home and limited health and social service provision during the COVID-19 pandemic, patients' experience of high EE warranted attention. Aims and
Methods: The study aimed to investigate the experience of high EE among people with mental illness during the COVID-19 pandemic. We surveyed the service users of 2 community mental health centers, including participants with psychotic and nonpsychotic disorders.
Results: Valid responses from 303 participants indicated an overall high EE prevalence of 71.62%, much higher than previous findings, which range between 30% and 40%. People with other psychotic and nonpsychotic disorders showed a higher probability of experiencing high EE than people with schizophrenia. Participants reported a higher probability of experiencing high EE as a result of caregiving by other family relatives and friends than by parents.
Conclusion: Findings suggest a significantly elevated high EE prevalence among people suffering from mental illness in the community during the COVID-19 pandemic. It is worth further evaluating the long-term effects of high EE beyond the pandemic.
© The Author(s) 2022. Published by Oxford University Press on behalf of the University of Maryland's school of medicine, Maryland Psychiatric Research Center.

Entities:  

Keywords:  COVID-19; expressed emotions; mental illness; pandemic; schizophrenia

Year:  2022        PMID: 35996532      PMCID: PMC9384529          DOI: 10.1093/schizbullopen/sgac049

Source DB:  PubMed          Journal:  Schizophr Bull Open        ISSN: 2632-7899


Introduction

High expressed emotion (EE) is a known risk factor of relapse in patients with schizophrenia.[1] The classic study by Vaughn and Leff[2] revealed that the 9-month relapse rates of schizophrenia were 53% and 92% for patients experiencing high EE in the family context, among those taking medications and not taking medications respectively, vs a rate below 15% among those patients in low EE family contexts. High EE has 3 components, namely criticism, hostility, and emotional over-involvement (EOI). More recent studies have revealed that high EE within the family context can be identified from both overt and covert perspectives.[3] The overt expression of high EE largely corresponds to the established 3-factor structure of the construct. The covert expression of high EE includes disassociative behaviors and apathetic attitudes. In addition to schizophrenia, the high EE construct has also been found to be applicable to other mental illnesses, including bipolar affective disorders, depression, and anxiety disorders.[4,5] High EE was traditionally assessed by the Camberwell family interview (CFI), which is a semi-structured interview administered by specially trained personnel to a patient’s caregiver.[6] While the CFI is widely regarded as the benchmark in EE assessment, it is impractical in clinical settings because the assessment and data-coding processes are excessively time-consuming and technically demanding. In response to the need for a more practical measurement tool, a 12-item self-report scale—the Concise Chinese level of expressed emotion scale (CCLEES)—was developed and validated with people suffering from schizophrenia in Hong Kong.[7] Using the CCLEES as the assessment tool, patients with schizophrenia experiencing high EE showed a one-year relapse rate more than 5 times higher than those experiencing low EE.[8] In addition to good predictive validity, the CCLEES has shown concurrent validity of 90% agreement with the CFI in identifying high EE. Hong Kong has experienced multiple waves of COVID-19 since its first outbreak in early 2020. To contain the pandemic, the government implemented various stringent social distancing measures during critical times, including a work-from-home policy and closure of many public facilities. To adhere to the government’s policy, as well as for the safety of clients and staff, many social services providers, including community mental health services, greatly reduced regular face-to-face services. As a result during the pandemic, people with mental illnesses and their family members stayed at home much more often, implying a drastic increase of time that they were together inside family. Acknowledging the potential negative impacts of high EE, the current study aimed to investigate the experience of high EE among people with mental illness in Hong Kong during the COVID-19 pandemic.

Methods

In collaboration with 2 community mental health service centers in Hong Kong, we conducted a survey on high EE experienced by people with mental illness during the third wave of the COVID-19 pandemic in Hong Kong, from August to October 2020. Targeted participants were current service users of the 2 centers whose mental condition was stable and who were able to give informed written consent to participate in the study. We adopted the CCLEES to measure participants’ experienced EE from their caregiver. The questionnaire also included items enquiring into the basic demographic characteristics of participants. The research was approved by the Human Research Ethics Committee of The University of Hong Kong.

Concise Chinese Level of Expressed Emotion Scale

The Concise Chinese Level of Expressed Emotion Scale (CCLEES) is a 12-item self-report scale measuring the patient’s subjective experience of EE from the most significant family member. The scale comprises 3 factors: criticism, hostility, and EOI, with 4 items under each factor. The total score of EE is the sum of the 3 factors’ scores, with higher total scores indicating higher levels of EE. The CCLEES was validated with people suffering from schizophrenia in Hong Kong.[7] It showed good correspondence (90%) with the CFI, the classic EE measure, and satisfactory internal consistency (Cronbach’s alphas = 0.84 for the whole scale and ranging between 0.75 and 0.77 for the 3 subscales). In a 1-year prospective study with 101 patients with schizophrenia, the CCLEES has shown good predictive validity: odds ratio = 6.3 in 1-year relapse rate between patients experiencing high EE versus low EE.[8]

Statistical Analysis

Descriptive statistics were computed to examine the sample’s demographic and clinical characteristics, and caregivers’ information. The prevalence of high EE and its 3 factors among the participants were calculated. The profiles of high EE prevalence across different diagnoses, caregiver relationships, and demographic characteristics were examined. The association between high EE and individual/clinical characteristics was analyzed by Chi-squared tests and logistic regressions. All analyses were performed with SPSS 24.0.[9]

Results

Demographic Characteristics

A total of 303 valid responses were obtained from a questionnaire survey conducted among service users of the 2 community mental health centers. Participants’ mean age was 43.08 and there were more women (74.26%). The top 3 diagnoses were depression (39.27%), schizophrenia (17.82%), and anxiety/obsessive compulsive disorder (10.23%). Nearly half of the participants (48.18%) had suffered from mental illness for between 1 and 5 years. Caregivers were most frequently the mother (25.08%) and husband (19.80%). Detailed demographic and clinical information of the participants is depicted in table 1.
Table 1.

Participant characteristics (N = 303)

VariablesCategoriesFrequenciesPercentages
GenderMale7825.74
Female22574.26
Age20 or under278.91
21–305317.49
31–405618.48
41–504815.84
51–607625.08
61 or above4314.19
DiagnosisDepression11939.27
Schizophrenia5417.82
Other psychotic illnesses3411.22
Anxiety/obsessive compulsive disorder3110.23
Adjustment disorder175.61
Mixed anxiety/depression disorders92.97
Suspected1259.57
Others (missing data and rare conditions)144.62
Time from first diagnosis< 1 year216.93
1–5 years14648.18
6–10 years7223.76
11–15 years123.96
16–20 years247.92
> 20 years278.91
Missing data10.33
Services receiving at centerCasework service only17858.75
Casework service and day activities10735.31
Day activities only175.61
Missing data10.33
Duration of< 1 year6922.77
1–2 years9029.7
3–4 years8528.05
5–6 years258.25
7–8 years144.62
> 8 year206.6
Caregiver’s relationship to participantMother7625.08
Husband6019.8
Son289.24
Daughter268.58
Sibling237.59
Other family member227.26
Father185.94
Friend165.28
Wife154.95
Boy/girlfriend134.29
Missing data61.98

1“Suspected” indicates participants who have experienced symptoms of mental disorder but have not met diagnostic standard.

Participant characteristics (N = 303) 1“Suspected” indicates participants who have experienced symptoms of mental disorder but have not met diagnostic standard.

High EE Prevalence

Many participants reported high EE total scores (71.62%) (table 2). Among the 3 components of high EE, high criticism appeared to be the most common, at 65.30%, vs 36.60% and 29.04% for high hostility and EOI, respectively. Among participants diagnosed with schizophrenia, 62.96% of them experienced high EE. The prevalence of high EE among other mental illnesses appeared to be even higher (70.18%–82.15%). Over 80% of participants diagnosed with other psychotic illnesses and over 70% of participants with depression and other non-psychotic disorders reported experiences of high EE (table 3). Significant differences could be found in hostility, EOI, and total EE scores among patients with different diagnoses. Specifically, people having psychotic illnesses (except schizophrenia) reported significantly higher hostility scores compared with people who only presented mental disorder symptoms (P = .016). Regarding relationship to caregiver, high EE prevalence appeared to be lower among parents (57.45%), than among partners (79.55%), other family members (including children and siblings, 74.75%), and friends (86.36%) (table 4). Regarding the perceived negative impacts of specific high EE items, the 4 items under hostility were rated by participants as the most undesired. Items under criticism and EOI were perceived to be relatively less undesirable (table 5).
Table 2.

Results of the CCLEES (N = 303)

VariablesHigh/Low EEFrequenciesPercentages
CriticismHigh19865.3
Low10534.7
HostilityHigh11136.6
Low19263.4
EOIHigh8829.04
Low21570.96
EE totalHigh21771.62
Low8628.38
Table 3.

High EE among different diagnoses

Total EE scoreCriticism scoreHostility scoreEOI score
DiagnosisHigh/Low EEFrequenciesPercentagesMean (SD) P Mean (SD) P Mean (SD) P Mean (SD) P
SchizophreniaHigh34 62.96 39.09 (4.23).044*15.00 (1.19)0.98715.23 (0.93)0.016*15.80 (0.42).046*
Low2037.0425.05 (6.03)9.73 (2.29)8.37 (2.88)9.93 (3.06)
Other psychotic illness1High28 82.35 39.50 (4.66)14.56 (1.26)14.63 (1.01)15.57 (0.53)
Low617.6524.33 (3.78)9.22 (2.73)8.87 (2.45)10.56 (2.83)
DepressionHigh86 72.27 40.50(5.97)14.99 (1.16)15.04 (1.14)15.77(0.43)
Low3327.7325.33 (5.97)9.57 (2.28)8.38 (2.52)10.23 (2.93)
Other non-psychotic disorder2High40 70.18 41.00(5.08)15.08 (1.11)15.17 (1.10)15.86 (0.36)
Low1729.8225.47 (4.30)9.29 (2.28)8.97 (2.81)10.53 (2.68)
Suspected3High1664.0036.50 (5.94)14.13 (.99)14.00 (1.22)15.50 (.58)
Low936.0022.00 (6.16)9.10 (2.38)7.50 (3.22)9.38 (3.51)
OthersHigh1010038.70 (6.46)14.60 (1.26)14.40 (1.52)15.50 (0.58)
Low000007.40 (2.88)11.67 (2.34)

1Other psychotic illnesses included delusional and bipolar affective disorders.

2Other nonpsychotic disorders included anxiety/obsessive compulsive disorders, mixed anxiety/depression disorders, and adjustment disorder.

3Suspected indicates participants who have experienced symptoms of mental disorder but have not met diagnostic standard.

*P ≤ .05.

Table 4.

Percentage of high EE among different main caregivers

RelationshipHigh/Low EEFrequenciesPercentages
Parents (mother, father)High54 57.45
Low4042.55
Partners (husband, wife, boy/girlfriend)High70 79.55
Low1820.45
Other family members (son, daughter, sibling, other family member)High74 74.75
Low2525.25
Friends and otherHigh19 86.36
Low313.64
Table 5.

The most undesired items (choose 1–3 options from 12 items of CCLEES, N = 303)

RankItemsFrequenciesPercentagesCategory
1He/she blames me for things not going well. 73 24.09 Hostility
2He/she gets angry with me when things don’t go right. 73 24.09 Hostility
3He/she gets irritated when things don’t go right. 68 22.44 Hostility
4He/she is always interfering.6120.13Criticism
5He/she “flies off the handle” when I don’t do something well.6019.80Hostility
6He/she often checks up on me to see what I‘m doing.4113.53EOI
7He/she often accuses me of making things up when I’m not feeling well.3411.22Criticism
8He/she always has to know everything about me.258.25EOI
9He/she insists on knowing where I’m going.247.92EOI
10He/she is always nosing into my business.237.59EOI
11He/she accuses me of exaggerating when I say I’m unwell.237.59Criticism
12He/she says I cause my troubles to occur in order to get back at him/her.216.93Criticism
Results of the CCLEES (N = 303) High EE among different diagnoses 1Other psychotic illnesses included delusional and bipolar affective disorders. 2Other nonpsychotic disorders included anxiety/obsessive compulsive disorders, mixed anxiety/depression disorders, and adjustment disorder. 3Suspected indicates participants who have experienced symptoms of mental disorder but have not met diagnostic standard. *P ≤ .05. Percentage of high EE among different main caregivers The most undesired items (choose 1–3 options from 12 items of CCLEES, N = 303)

Associations Between Demographic Information and EE Scores

Chi-squared tests and correlational analyses showed significant associations between EE (total/factor scores) and age, gender, diagnosis, duration of mental illness, and caregiver-patient relationship. The results are presented in tables 6–9. Specifically, participants’ age showed a positive correlation with their reported EE scores (r = .179, P = .002). Older participants reported more criticism, EOI, and overall EE experience than younger participants. Male participants reported more high EE experience than female participants (χ 2 = 4.328, P = .037). Participants diagnosed with depression reported higher chances of facing hostility from their caregiver than participants diagnosed with schizophrenia (χ 2 = 19.989, P = .029). The longer participants had lived with their mental illness, the lower the hostility scores they reported (r = −.124, P = .032). Participants whose main caregiver was their mother or partner had a lower chance of facing high hostility than those who had another relationship with their main caregiver (χ 2 = 25.901, P = .004).
Table 6.

Chi-squared test on categorical variables with high/low EE

Variable 1 × Variable2 N χ² df P value
Gender × Criticism (H/L)3032.7721.096
Gender × Hostility (H/L)3030.1511.697
Gender × EOI (H/L)3030.2291.632
Gender × Total LEE (H/L)3034.3281 .037*
Diagnosis × Criticism (H/L)3038.00110.629
Diagnosis × Hostility (H/L)30319.98910 .029*
Diagnosis × EOI (H/L)30318.85510 .042*
Diagnosis × Total LEE (H/L)30310.06710.435
Caregiver relationship × Criticism (H/L)30313.96610.175
Caregiver relationship × Hostility (H/L)30325.90110 .004**
Caregiver relationship × EOI (H/L)30315.61910.111
Caregiver relationship × Total LEE (H/L)30318.17710.052

*P ≤ .05, **P ≤ .01.

Table 9.

Logistic regression model of predictors of total LEE

Total LEE
Covariate N Odds ratio95% Confidence Interval P value
Age303 1.038 (1.020, 1.056) .000***
Gender (male)303 2.425 (1.254, 4.688) .008**

**P ≤ .01, ***P ≤ .001.

Chi-squared test on categorical variables with high/low EE *P ≤ .05, **P ≤ .01. Mean and standard deviation of EE for categorical variables 1Other psychotic illnesses included delusional and bipolar affective disorders. 2Other non-psychotic disorders included anxiety/obsessive compulsive disorders, mixed anxiety/depression disorders, and adjustment disorder. Correlation of continuous variables with level of EE *P ≤ .05, **P ≤ .01, ***P ≤ .001. Logistic regression model of predictors of total LEE **P ≤ .01, ***P ≤ .001. Logistic regression analyses were performed to examine the predictive power of demographic variables regarding EE total and factor scores (table 9). It was revealed that for every 1-year increase in age, participants were expected to see a 3.8% increase in the odds of experiencing high EE (OR = 1.038, P = .000, 95% CI = 1.020–1.056). Male participants were expected to have 1.4 times higher odds of experiencing high EE than female peers (OR = 2.425, P = .008, 95% CI = 1.254–4.688).

Discussions

The current study investigates the high EE experienced by people with mental illness in Hong Kong during the COVID-19 pandemic. Responses from 303 service users of 2 community mental health service centers show an overall high EE prevalence of 71.62%, much higher than was found in a previous study in Hong Kong (32.7%[8];). Plausible factors in such a sharp increase in high EE prevalence are the stringent social distancing policies and the suspension of many health and social services, which led to a drastic increase of contact among people living together. Previous research has suggested that limiting family contact to fewer than 35 h per week may help mitigate the negative effects of high EE.[10] However, during the COVID-19 pandemic, the contact between people with mental illness and their caregivers increased hugely. A recent mental health survey of Hong Kong adults during the COVID-19 found that 40.6% of respondents showed probable symptoms anxiety, depression, and posttraumatic stress disorder.[11] Specifically, individuals with preexisting health issues presented higher severity of Post-traumatic stress disorder (PTSD). The longer individuals were confined at home, the more likely they were to report a negative mental health status. Distress experienced by patients may intensify the tension among family members, and vice versa. Previous studies have revealed that caregivers’ negative attitudes and behaviors could reinforce patients’ internalized dysfunctional cognition, which in return could worsen patients’ mental health status and intensify the tension between patients and caregivers.[12,13] Findings from our survey could also reflect this tendency, as hostility and criticism were presented more frequently than EOI by main caregivers. And patients with mental illness showed increasing sensitivity of anger and criticizing behavior. Mental health support for both patients and their caregivers are highly desirable under this prolonged pandemic period. Although the construct of EE originated in research on people with schizophrenia, it has also been examined in other mental illnesses, such as bipolar affective disorder, depression, and anxiety disorders.[4,5] The current study revealed a high EE prevalence across a wide spectrum of psychotic illnesses and non-psychotic disorders under the COVID-19 pandemic. It is worth noting that the high EE prevalence rates in patients with schizophrenia were lower than among those with other diagnoses. Findings of the current study suggested that people with depression received more hostile and over-involving feedback compared with those with schizophrenia and other mental disorders. The predicaments of these patients worth more attention. Previous studies have suggested that stigma may exert negative perception and stress towards people with mental illness and their family members, stimulating the occurrence of high EE in the family circumstance.[14] People with other mental disorders, even common mental disorders like depression, may still experience severe high EE conditions. The interactions between people with different mental disorders and their caregivers, and the precise mechanisms of high EE could be further explored. Being older and being male were revealed to be risk factors of experiencing high EE from caregivers. It has been suggested that age may lead to attenuated engagement between patients and their caregivers,[15] and this effect was stronger in high EE families. However, during the pandemic period, the proliferated contacting time between the 2 sides may break the balance. The increased critical comments and reduced warmth in the family context further exacerbate the situation.[1] Regarding the caregiver’s relationship with the patient, parents showed lower high EE prevalence rate than partners, friends, and other family caregivers (including sons, daughters, and siblings). Factors affecting high EE experiences are multidimensional, relating among other things to individual and family characteristics, mental status, and psychosocial functioning. To dissect the complex interactions among various factors, more in-depth research in this area is warranted. The current study has a number of limitations. First, the sampling method was convenience sampling undertaken at 2 community mental health centers. Since many people suffering from mental disorders, especially non-psychotic disorders, are not service users of formal mental health services, the representativeness of the sample is limited, and is likely to be generalizable only to those with higher symptom severity and psychosocial impairments. Second, the assessment method used solely self-reporting by participants. It is desirable to incorporate other assessment modalities in future studies, such as involving the caregivers as well. Third, due to adoption of a cross-sectional survey study design, the causal relations among various factors could not be ascertained. It is desirable to conduct follow-up studies with the same participants after the pandemic.

Conclusion

This study has investigated the EE experienced by people with mental illness during the COVID-19 pandemic in Hong Kong. Findings reveal a significantly elevated prevalence of high EE. In addition to schizophrenia, the study revealed elevated high EE prevalence across a wide spectrum of psychotic illnesses and non-psychotic disorders. While mothers and husbands were the most common caregivers, caregivers with other relationships to patients, including children, siblings, and friends, were also common. Elevated high EE prevalence by caregivers of diverse relationships with patients was revealed. More attention to people with mental illness and their family should be given during the pandemic.
Table 7.

Mean and standard deviation of EE for categorical variables

VariablesCategoriesNoMean (EE)SD (EE)
GenderMale7836.358.49
Female22535.358.83
DiagnosisSchizophrenia5433.898.43
Other psychotic illness13436.827.38
Depression11936.299.05
Other non-psychotic disorder25736.378.64
Caregiver’s relationship to participantParents (mother, father)9432.838.49
Partners (husband, wife, boy/girlfriend)8836.767.80
Other family members (son, daughter, sibling, other family member)9936.559.12
Other family members (son, daughter, sibling, other family member) Friends and other2238.649.26

1Other psychotic illnesses included delusional and bipolar affective disorders.

2Other non-psychotic disorders included anxiety/obsessive compulsive disorders, mixed anxiety/depression disorders, and adjustment disorder.

Table 8.

Correlation of continuous variables with level of EE

Variable 1 × Variable2 N r df P value
Age × Criticism (score)303.204301 .000***
Age × Hostility (score)303.054301.351
Age × EOI (score)303.206301 .000***
Age × Total LEE (score)303.179301 .002**
Time since diagnosis (months) × Criticism (score)302−.031300.588
Time since diagnosis (months) × Hostility (score)302−.124300 .032*
Time since diagnosis (months) × EOI (score)302−.105300.070
Time since diagnosis (months) × Total LEE (score)302−.109300.059

*P ≤ .05, **P ≤ .01, ***P ≤ .001.

  10 in total

1.  Expressed emotion and relapse in young schizophrenia outpatients.

Authors:  S King; M J Dixon
Journal:  Schizophr Bull       Date:  1999       Impact factor: 9.306

Review 2.  Expressed emotion and relapse of psychopathology.

Authors:  Jill M Hooley
Journal:  Annu Rev Clin Psychol       Date:  2007       Impact factor: 18.561

3.  The predictive power of expressed emotion and its components in relapse of schizophrenia: a meta-analysis and meta-regression.

Authors:  Chak Fai Ma; Sherry Kit Wa Chan; Yik Ling Chung; Siu Man Ng; Christy Lai Ming Hui; Yi Nam Suen; Eric Yu Hai Chen
Journal:  Psychol Med       Date:  2021-02-11       Impact factor: 7.723

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Authors:  H Hayhurst; Z Cooper; E S Paykel; S Vearnals; R Ramana
Journal:  Br J Psychiatry       Date:  1997-11       Impact factor: 9.319

5.  The measurement of expressed emotion in the families of psychiatric patients.

Authors:  C Vaughn; J Leff
Journal:  Br J Soc Clin Psychol       Date:  1976-06

6.  A concise self-report scale can identify high expressed emotions and predict higher relapse risk in schizophrenia.

Authors:  Siu-Man Ng; Chi-Hung Yeung; Siyu Gao
Journal:  Compr Psychiatry       Date:  2018-12-05       Impact factor: 3.735

7.  Stigma and expressed emotion: a study of people with schizophrenia and their family members in China.

Authors:  Michael R Phillips; Veronica Pearson; Feifei Li; Minjie Xu; Lawrence Yang
Journal:  Br J Psychiatry       Date:  2002-12       Impact factor: 9.319

8.  Age, expressed emotion, and interpersonal control patterning in families of persons with schizophrenia.

Authors:  Anne K Wuerker; Vincent Kang Fu; Gretchen L Haas; Alan S Bellack
Journal:  Psychiatry Res       Date:  2002-03-15       Impact factor: 3.222

9.  High level of expressed emotions in the family of people with schizophrenia: has a covert abrasive behaviours component been overlooked?

Authors:  Siu-Man Ng; Melody Hiu-Ying Fung; Siyu Gao
Journal:  Heliyon       Date:  2020-11-07

10.  Expressed emotion and psychiatric relapse: a meta-analysis.

Authors:  R L Butzlaff; J M Hooley
Journal:  Arch Gen Psychiatry       Date:  1998-06
  10 in total

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