First Do No Harm. Avoiding adverse outcomes in personality disorder treatments. Mary McMurran PhD.

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Transcription:

First Do No Harm Avoiding adverse outcomes in personality disorder treatments Mary McMurran PhD www.marymcmurran.co.uk

Outline Potential for harmful outcomes in treatment Trials Clinical practice Including negative outcomes when evaluating interventions Understanding how harm may be caused Guarding against causing harm

What are we talking about? Various terms Adverse events (used in research) significant episodes during or shortly after treatment (e.g., suicide, hospital admissions) Adverse effects Deterioration Negative effects Side effects Improvement on some outcomes, deterioration on others Parry et al. (2016). Iatrogenic harm from psychological therapies time to move on. British Journal of Psychiatry, 208, 210 212.

How important is this topic? Apparently, not very important if you look for these terms in the indexes of clinical handbooks 2016 2014 2016

Can treatment harm? Brandon Welsh Professor of Criminology and Criminal Justice

First example of what harms Cambridge-Somerville Delinquency Prevention Study 650 boys, aged 3-15 Matched pairs (age, IQ, social background/temperament) Randomly assigned to treatment / no treatment Treatment case worker visits over average 5½ years advice, guidance, teaching, activities, summer camp, onward referral Powers, E., & Witmer, H. (1951). An Experiment in the Prevention of Delinquency: The Cambridge-Somerville Youth Study. New York: Columbia University Press.

First example of what harms Cambridge-Somerville Delinquency Prevention Study At 9 years after the start of treatment more of the treatment group had been in court for more offences At 30 years after the start of treatment, with 95% followup, those who were in the treatment group were more likely to have been convicted of serious crimes, died on average 5 years younger, and were more likely to have received a psychiatric diagnosis. Negative effects were greater where there was more treatment. McCord, J. (1978). A 30-year follow-up of treatment effects. American Psychologist, 33, 284-289.

Later examples of what harms Scared Straight Increased odds of offending Critical Incident Stress Debriefing Higher PTSD and anxiety Even though people find it helpful Drug Abuse Education Can make drug abuse more likely Lilienfeld, S.O. (2007). Psychological treatments that cause harm. Perspectives on Psychological Science, 2, 53-70.

Later examples of what harms A review of systematic reviews of harmful effects (i.e., increased recidivism) of delinquency prevention Cognitive-behavioural 8 of 15 reviews of treatments recorded harmful effects therapy Scared Straight Drug substitution Second Responder Early parent/family training Boot Camps Mentoring Drug courts Self control Prison-based drug treatment Serious juvenile offender Court mandated interventions for domestic violence Anti-bullying programmes in schools Custodial vs community sanctions No harm: programmes Non-custodial employment Welsh, B.C. & Roque, M. (2014). When crime prevention harms: A review of systematic reviews. Journal of Experimental Criminology, 10, 245-266.

Later examples of what harms Systematic review of offender CBT treatment studies Completers vs Untreated A positive effect in reducing recidivism (d = 0.11) Non-completers vs Untreated A negative effect on recidivism (d= -0.16) Non-completers are more likely to be reconvicted than untreated McMurran, M., & Theodosi, E. (2007). Is treatment non-completion associated with Increased reconviction over no treatment? Psychology, Crime and Law, 13, 333-343.

Measuring Outcomes In research and clinical practice, do we look equally conscientiously for positive and negative outcomes? Lilienfeld says that our evaluations are subject to Positive outcome expectancies, and Confirmation bias We look for positive outcomes because we expect and hope for positive change We fail to see deterioration.

Today s Purpose

Trials

The PEPS Trial Psycho-Education and Problem Solving for adults with personality disorder

The PEPS Trial The PEPS trial was funded by the National Institute for Health Research (NIHR) Health Technology Assessment (HTA) programme (project number 08/53/06). The views and opinions expressed here are those of the authors and do not necessarily reflect those of the HTA programme, NIHR, NHS or the Department of Health.

The PEPS Trial HEALTH TECHNOLOGY ASSESSMENT Free online access at: http://www.journalslibrary.nihr.ac.uk/hta /volume-20/issue-52#

The PEPS Trial Adults with personality disorder Recruited from community mental health services in 3 NHS Trusts in England & Wales Two-arm RCT Intervention Psycho-Education up to 4 individual sessions Problem Solving 12 group sessions Usual Treatment A mainstream intervention not something unconventional Shown to work in a pilot study

Outcomes Primary outcome at 72 weeks Social functioning measured by the Social Functioning Questionnaire Secondary outcomes Mood (HADS) Self-assessed problem severity Scheduled/unscheduled service use (health records) Health economics EQ-5D Recorded service use

The PEPS Trial Just when it was all going so well... Recruitment to the PEPS trial was stopped because more adverse events observed in the treatment arm than in treatment as usual arm

Stop recruiting! Data Monitoring and Ethics Committee (DMEC), viewing unblinded data, identified a difference in AEs between arms as a safety issue Independent Trial Steering Committee (TSC) advised us to stop recruitment and treatment, but continue follow up Happened 30 months into recruitment, and 2 months before end of recruitment and 306 of the target 340 participants had been recruited (90%)

Adverse Events Defined in protocol as Death for any reason Hospitalisation for any reason Any serious unexpected event In PEPS trial, AEs identified by: asking participants during each contact (3 in 72 weeks) asking for info from responsible clinician writing to GP where there was loss to follow-up ascertaining reasons for the event

What did we find? PEPS arm (n=152) 117 adverse events from 60 people Included 4 deaths 1 suicide before treatment started 1 cardiac arrest during treatment phase 1 death by natural causes 1 suicide during follow-up - No evidence of being related to the trial Usual treatment arm (n=154) 76 adverse events from 39 people No deaths

What did we find? Relative Risk (RR) = 1.52 The ratio of the probability of an event occurring in the treated group : the probability of an event occurring in the untreated group RR = 1 no difference RR < 1 event is less likely in the treated group Not statistically significant Risk is greater in PEPS But has clinical significance RR > 1 event is more likely in the treated group

What happened? Bias? Follow up greater in the PEPS arm Did we find out more from those in PEPS arm? More contact with therapists and researchers in intervention and follow-up Participants may have felt more able to tell therapists and researchers about AEs Clinicians may have been more likely to tell us about AEs for PEPS participants so that we could deal with difficulties Accessing service use data from HSCIS

What happened? Harm? Shows we need adequately powered trials to build on pilot studies In ITT analysis, no differences between arms on primary or secondary measures Outcomes were better for those who received PEPS per protocol PEPS was marginally more cost-effective Suggests PEPS itself wasn t harmful

Participants views Interview information suggests that PEPS was dissociated from ongoing good clinical care and management When PEPS ended, people felt unsupported I believe the spike in adverse events was due to the model not sustaining the support. It gave people help and then left them. After PEPS, may feel abandoned and have only damaging means of coping, or After PEPS, the only way to get further help might be by dramatic gestures. Risk may be from nonspecific sources, e.g., service-related aspects

AE Categories Usual Care (n=152) PEPS (n=154) Planned hospital admission Self-harm (inc. alc drug overdose) Suicide/attempted suicide Deterioration in mental health Events Individual Events Individual Type of self-harm is s s mostly distress 2 2 1 1 related 27 16 42 24 4 3 7 7 3 2 9 7 Suicidal ideation 6 6 8 6

Were we guilty of simply looking for adverse events when others do not?

How much attention is paid to adverse events? Duggan et al. examined all 82 NIHR-funded trials, 1995 2013 Psychological Drug Combined Other AEs in protocol or report (n=82) 19/44 (43%) 11/14 (79%) 4/5 (80%) 11/19 (58%) Should clinicians be Psychology trialists have not been assiduous equally in logging assiduous? and reporting adverse events AEs are more likely to be recorded in more recent studies Duggan et al. (2014). The recording of adverse events from psychological treatments in clinical trials: Evidence from a review of NIHR funded trials. Trials 15, 335.

What works with whom? What harms with whom? Even empirically supported therapies may harm some people

Clinical Practice

Causes of harm Adverse events (AE) recorded in trials (death, hospitalisation) may be related or unrelated to the treatment Often it is difficult to tell AE = hospitalisation What for? A broken leg How caused? An accident True accident or deliberate self harm as a result of mental state deterioration? If DSH, what this caused by treatment or a contemporaneous life event (e.g., relationship breakdown)? Better ask the service users.

Patient-reported bad effects National survey, NHS England & Wales 220 services 14,587 individual respondents adults in treatment for anxiety and/or depression mainly cognitive-behavioural therapy 5% (n=763) reported lasting bad effects More likely if unsure of what therapy they received Less likely if they were given enough information about therapy before it started More likely for ethnic minority patients and non heterosexual patients Clues to action.. Crawford et al. (2016). Patient experience of negative effects of psychological treatment: results of a national survey. British Journal of Psychiatry, 208, 260-265.

Need to know Only when we spot negative outcomes can we take corrective action In a counselling centre study, client progress /deterioration was measured by researchers Counsellors detected only 21% of the cases that had deteriorated. Hatfield, D., McCullough, L., Frantz, S.H.B., & Krieger, K. (2010). Do we know when our clients get worse? An investigation of therapists ability to detect negative client change. Clinical Psychology & Psychotherapy, 17, 25 32

How to spot deterioration Use quantitative and qualitative methods Symptom change Clinician observed Rating scale Therapist inquiry Other person s report Alliance worsens Treatment goal failure Appointments missed Decreased motivation to change Use measures systematically Avoid positive bias

Need to know HOW harm is caused and avoid harmful practices Even empirically supported therapies may harm some people

Mechanisms of harm Deviance training? Cambridge-Somerville Delinquency Prevention Study At 30 years after the start of treatment, those who were in the treatment group were more likely to have been convicted of serious crimes, died on average 5 years Repeated attendance at summer camp associated with recidivism younger, and have received a psychiatric diagnosis.

Mechanisms of harm Critical Incident Stress Debriefing Higher PTSD and anxiety Even though people find it helpful Scared Straight Increased odds of offending Drug Abuse Education Can make drug abuse more likely Premature termination of exposure to anxietyprovoking stimuli? See prisoners as role models? Normalise the use of some substances?

Mechanisms of harm Deviance training? Harmful effects found mainly in adults who were treated A review of systematic reviews of harmful effects in groups (i.e., increased recidivism) of delinquency prevention 8 of 15 reviews of treatments recorded harmful effects Scared Straight Second Responder Boot Camps Drug courts Structured Prison-based programmes drug treatment give Court mandated better outcomes interventions for domestic violence may prevent the Anti-bullying programmes in schools interactions that Custodial vs community sanctions lead to deviancy transmission Welsh, B.C. & Roque, M. (2014). When crime prevention harms: A review of systematic reviews. Journal of Experimental Criminology, 10, 245-266.

Mechanisms of harm Non-completers may be high risk and would do Systematic review of offender CBT treatment studies that reported reconviction data on completers, worse noncompleters, and no treatment offered anyway OR does noncompletion Completers vs Untreated A positive effect in reducing recidivism (d = 0.11) make people Non-completers vs Untreated worse? A negative effect on recidivism (d= -0.16) Non-completers are more likely to be reconvicted than untreated Effect more pronounced in the community (d = -0.23 ) attitudes compared with secure settings (d = -0.15) Dropout feel unable to change Removal increase anti-authority Interruption problems raised but not solved

Mechanisms of harm Need more theoretically-driven investigations into mechanisms by which harm may arise

In conclusion

Research Implications Good clinical care should not be neglected when evaluating specific interventions Need clear theoretically-based hypotheses about the expected positive and potentially adverse interim and final outcomes in psychotherapy These should be stated in the protocol along with how and when they are to be assessed Findings should be reported in the final report

Clinical Implications Patients should be informed about the nature of the therapy before it starts. Information should include potential positive and negative outcomes so that patients can weigh up the costs relative to benefits Treatments and therapists need to be competent to meet the needs of ethnic and sexual minorities

Clinical Implications Therapists need to avoid looking only for positive outcomes They should specify theoretically-based expected positive and negative outcomes, at what stages of therapy they are expected, and how long the effects are likely to last These positive and negative outcomes should be monitored systematically and frequently over the course of therapy Quantitative and qualitative measures Also, ask people what else is happening in their lives life events may be more responsible for changes than therapy

www.marymcmurran.co.uk mary.mcmurran@gmail.com