Illness perception of dropout patients followed up at bipolar outpatient clinic, Turkey

Oflaz, Serap; Güveli, Hülya; Kalelioğlu, Tevfik; Akyazı, Senem; Yıldızhan, Eren; Kiliç, Kasım; Basyigit, Sehnaz; Ozdemiroglu, Filiz; Akyüz, Fatma; Gokce, Esra; Bağ, Sevda; Kurt, Erhan; Oral, Elif

doi:10.1016/j.ajp.2015.04.006

Cited by 10 publications

(8 citation statements)

References 37 publications

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“…Previous studies have been inconsistent: Simon and Ludman found an association in patients with depression between severity and dropout rates (Pan et al, 2013; Simon & Ludman, 2010), while Warden et al, did not (Warden et al, 2009 a , b ). With respect to specific mental disorders, some studies found variability in dropout rates (Fernandez-Arias et al, 2016; Murphy et al, 2015; Oflaz et al, 2015), while others did not (Gonzalez, Weersing, Warnick, Scahill, & Woolston, 2011). The granularity of our data allows us to go one step further and draw preliminary conclusions that shed light on these inconsistencies.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative

et al. 2020

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Background There is a substantial proportion of patients who drop out of treatment before they receive minimally adequate care. They tend to have worse health outcomes than those who complete treatment. Our main goal is to describe the frequency and determinants of dropout from treatment for mental disorders in low-, middle-, and high-income countries. Methods Respondents from 13 low- or middle-income countries (N = 60 224) and 15 in high-income countries (N = 77 303) were screened for mental and substance use disorders. Cross-tabulations were used to examine the distribution of treatment and dropout rates for those who screened positive. The timing of dropout was examined using Kaplan–Meier curves. Predictors of dropout were examined with survival analysis using a logistic link function. Results Dropout rates are high, both in high-income (30%) and low/middle-income (45%) countries. Dropout mostly occurs during the first two visits. It is higher in general medical rather than in specialist settings (nearly 60% v. 20% in lower income settings). It is also higher for mild and moderate than for severe presentations. The lack of financial protection for mental health services is associated with overall increased dropout from care. Conclusions Extending financial protection and coverage for mental disorders may reduce dropout. Efficiency can be improved by managing the milder clinical presentations at the entry point to the mental health system, providing adequate training, support and specialist supervision for non-specialists, and streamlining referral to psychiatrists for more severe cases.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative

et al. 2020

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“…Low socio-economic strata and increased transport costs additionally contribute to medication non-adherence due to difficulties in the accessibility and affordability of mental health care (Oflaz et al, 2015). Additionally, various illness-related factors (Chopra et al, 2006;Hapangama et al, 2013;Moon et al, 2012;Oflaz et al, 2015;Yen et al, 2005), and patient-related factors such as ignorance about side effects (Bener et al, 2013) and…”

Section: Influence Of Adherencementioning

confidence: 97%

Bipolar disorder in Asia: Illness course and contributing factors

Subramanian

Sarkar

Kattimani

2017

Asian Journal of Psychiatry

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“…Five studies have explored the relationship between treatment outcomes and illness representations in people with a bipolar disorder (Hou et al, 2010;Oflaz et al, 2015;Averous et al, 2018;Etain et al, 2018;M'Bailara et al, 2019). Good treatment adherence was predicted by high treatment control and low emotional representation (Averous et al, 2018).…”

Section: Illness Representations and Treatment Outcomes Of People Witmentioning

confidence: 99%

“…Non-adherent patients had higher levels of perceived consequences and chronicity than adherent patients (Hou et al, 2010). Dropout patients had higher emotional representations and personal control, and lower consequences, than adherent patients (Oflaz et al, 2015). Two studies have shown that after educational therapies, illness representations were improved (Etain et al, 2018;M'Bailara et al, 2019).…”

Section: Illness Representations and Treatment Outcomes Of People Witmentioning

confidence: 99%

Relationship Between Illness Representations, Psychosocial Adjustment, and Treatment Outcomes in Mental Disorders: A Mini Review

2020

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Understanding and improving the psychosocial adjustments (e.g., quality of life, depression) and treatment outcomes (e.g., adherence, beliefs about treatments) of people with mental disorders are major health issues. The self-regulation model (SRM) postulates that illness representations play a central role on adjustment and treatment of people with physical illnesses. Recently, the SRM has been used with people with mental disorders. However, the manifestations of somatic and psychiatric disorders can be very different. Therefore, the use of SRM in the field of mental health is very complex. This difficulty, as well as the growing interest for illness representations in the field of mental health, justifies the utility to conduct a review on this topic. The current review shows that illness representations are related to psychosocial adjustment and/or treatment outcomes for people with various mental disorders [e.g., psychotic disorders, mood disorder, posttraumatic stress disorder (PTSD), attention deficit hyperactivity disorder (ADHD)]. However, some limitations to the applicability of SRM to mental disorders have been highlighted. These limitations should be considered in future studies.

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Illness perception of dropout patients followed up at bipolar outpatient clinic, Turkey

Cited by 10 publications

References 37 publications

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative

Patterns of care and dropout rates from outpatient mental healthcare in low-, middle- and high-income countries from the World Health Organization's World Mental Health Survey Initiative

Bipolar disorder in Asia: Illness course and contributing factors

Relationship Between Illness Representations, Psychosocial Adjustment, and Treatment Outcomes in Mental Disorders: A Mini Review

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