Masellis et al. (2003) Quality of Life in OCD (Edexcel A-Level Psychology): Revision Notes

Masellis et al. (2003) Quality of Life in OCD

Theorist, title, year

Masellis et al. (2003) – "Quality of life in OCD: Differential impact of obsessions, compulsions, and depression comorbidity"

Participants

The sample consisted of 43 individuals aged between 18 and 65 years (mean age 34.9 years). Participants were predominantly of European ethnicity and had been diagnosed with OCD according to DSM IV criteria. They were recruited from the Toronto area of Canada. Individuals with schizophrenia, bipolar disorder, or substance misuse were excluded from the study.

Aim

The study examined the separate effects of different features of OCD on quality of life, specifically investigating whether obsessions or compulsions had a greater impact on life experience. The researchers also explored how comorbid depression affected the quality of life of OCD sufferers.

The researchers aimed to examine the differential impact of obsessions versus compulsions on quality of life. They also wanted to determine the effect of comorbid depression, given that estimates show depression co-occurs in between 31.7% and 60.3% of OCD cases.

The hypothesis was that the severity of OCD symptoms would impact quality of life, and that in cases where depression was comorbid, quality of life would be more negatively affected.

Procedure

Three standardised measures were administered to each participant:

1. Yale-Brown OCD Scale (Y-BOCS): This assessed the level of OCD symptoms. It is a 10-item scale using a 5-point Likert measure where 0 represents no symptoms and 4 represents severe symptoms. An example question:

"How much of your time is occupied by obsessive thoughts?"

None	Less than 1 hour a day	1-3 hours a day	3-8 hours a day	More than 8 hours per day
0	1	2	3	4

2. Illness Intrusiveness Rating Scale (IIRS): This measured quality of life by asking about symptom interference across 13 life domains important to quality of life (such as diet, work, and recreation). It uses a 7-point Likert scale where a low score indicates minimal interference.

3. Beck Depression Inventory (BDI): This assessed depression symptom severity using a 21-item multiple choice questionnaire about symptoms of depression.

All participants completed the three measures. The researchers then explored relationships between the data, specifically testing whether any clinical or demographic information predicted scores on the IIRS.

Findings

The results revealed several key patterns:

• Demographic factors: Age, marital status, education level, age of onset, and gender did not affect symptom severity. No particular type of person was more likely to experience worse symptoms.

• Y-BOCS and IIRS correlation: Scores on the Y-BOCS were positively correlated with scores on the IIRS, indicating that higher OCD symptom severity was associated with poorer quality of life.

• Depression severity: Higher levels of depression predicted higher scores on the IIRS, demonstrating that greater depression severity was associated with reduced quality of life.

• Obsessions: When the obsessive element was separated from the Y-BOCS, it was a strong predictor of high IIRS scores, meaning obsessive thoughts, images, and impulses were associated with reduced quality of life.

• Compulsions: When the compulsive element was separated from the Y-BOCS, it did not predict high IIRS scores at a statistically reliable level, suggesting compulsions had less impact on quality of life than obsessions.

Conclusions

Obsessive thoughts, images, and impulses are more strongly associated with distress than compulsions. Compulsions can be understood as strategies used to reduce the distress brought on by obsessions. However, current treatment approaches often focus on treating compulsions, which may not reduce distress as effectively as treatments targeting the obsessive elements.

Research shows that between 17% and 44% of OCD patients only experience compulsions (Stavrakaki and Vargo, 1986), whilst 75% of patients seeking help for OCD also have depression. This suggests that behaviourist-based therapy such as Exposure and Response Prevention Treatment could be beneficial.

Evaluation: Strengths

Use of standardised measures: The study used well-tested, widely recognised, valid scales (Y-BOCS, IIRS, and BDI) to collect data. These measures are established in clinical practice, which means the data is reliable and potentially objective, minimising issues associated with self-report methodology.

Practical application: The study has valuable application for clinical practice. It highlighted problems with current therapy provision, suggesting that more focus should be placed on cognitive therapy rather than behaviourist approaches. This finding is useful for planning resource allocation because it provides evidence about the likely effectiveness of different therapy types.

Evaluation: Weaknesses

Self-report methodology: The study relies on self-report data, which may be criticised as a potential source of unreliability because it depends on the honesty and consistency of respondents. However, this criticism is partially mitigated by the use of established, validated measures.

Measurement of depression: Measuring depressive symptoms may be problematic because these fluctuate over time. The measure used in this study may not be as reliable as other depression measures. The authors suggested that a longitudinal design tracking depression symptoms over time and linking them to quality of life measures might provide more accurate data.

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