Medication non-adherence in bipolar disorder: Review of rates, demographic and clinical predictors

Chakrabarti, Subho

doi:10.13105/wjma.v5.i4.103

Cited by 9 publications

(11 citation statements)

References 174 publications

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“…40 Moreover, several researches revealed no impact of age on the pattern of adherence. 41,42 Consistent with previous studies, our results showed that female patients were more adherent to medication than male patients. 43 In contrast, one study found that female patients have poorer adherence than male patients, 37 whilst other studies reported no significant relation or did not confirm such findings.…”

Section: Socio-demographic Factorssupporting

confidence: 92%

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Psycho-demographic and clinical predictors of medication adherence in patients with bipolar I disorder in a university hospital in Egypt

Okasha

Radwan

Elkholy

et al. 2020

South African Journal of Psychiatry

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Background: Poor adherence to treatment is one of the main challenges to symptom control and preventing recurrence in bipolar disorder (BD). Numerous studies have established an association between patients' poor adherence and an increased risk of recurrence, relapse of the symptoms and admission to hospital. Aim:To study the socio-demographic and clinical factors associated with medication nonadherence in patients with BD who were admitted to the hospital.

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Section: Socio-demographic Factorssupporting

confidence: 92%

“…43 In contrast, one study found that female patients have poorer adherence than male patients, 37 whilst other studies reported no significant relation or did not confirm such findings. 40,42 Social and cultural factors may explain this disparity.…”

Section: Socio-demographic Factorsmentioning

confidence: 99%

Psycho-demographic and clinical predictors of medication adherence in patients with bipolar I disorder in a university hospital in Egypt

Okasha

Radwan

Elkholy

et al. 2020

South African Journal of Psychiatry

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“…This point is worth highlighting as the mean prevalence of non-adherence to medication has been found to range from 41.5% to 43%. 5 Fourth, the role of oral contraceptive pills has not been discussed. The increased risk of stroke with oral contraceptives is well-known.…”

mentioning

confidence: 99%

“…This point is worth highlighting as the mean prevalence of non-adherence to medication has been found to range from 41.5% to 43%. 5…”

mentioning

confidence: 99%

Response to the article entitled ‘Mood stabilisers and risk of stroke in bipolar disorder’

2019

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Edited by Kiriakos Xenitidis and Colin Campbell Contents ▪ Response to the article entitled 'Mood stabilisers and risk of stroke in bipolar disorder' ▪ Author's reply ▪ Timing of onset of lithium relapse prevention-how early, how late? ▪ Author's reply ▪ Montgomery and changes to the process of consent: debate required ▪ Author's reply Response to the article entitled 'Mood stabilisers and risk of stroke in bipolar disorder'

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“…Nonadherence is a common issue in treating persons with SMI (Lincoln et al, 2016; Samalin et al, 2016; Wade, Tai, Awenat, & Haddock, 2017), with rates up to 34.6% for antipsychotics (Bulloch & Patten, 2010), 40% for mood stabilizers (Chakrabarti, 2017; Pilhatsch et al, 2018), and 44.9% for antidepressants (Bulloch & Patten, 2010). Switching medications to improve efficacy and tolerability is challenging.…”

mentioning

confidence: 99%

Bringing Personalized Medicine to a PACT Program: A Quality Improvement Project

Conley

Daack‐Hirsch

Halbmaier

et al. 2019

J Am Psychiatr Nurses Assoc

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INTRODUCTION: Programs for assertive community treatment (PACT) serve persons with severe mental illness who have been unsuccessful with traditional outpatient services. Many PACT clients struggle to obtain symptom relief with medications that often have poor efficacy and undesired side effects, which can result in nonadherence, relapse, and increased health care utilization with associated costs. AIMS: This quality improvement project aimed to improve client and PACT program outcomes by incorporating pharmacogenomic testing into the psychopharmacological decision-making process. METHODS: The project used a pre–posttest design with each client serving as their own control to evaluate changes in clients’ symptoms and program outcomes resulting from pharmacogenomics-guided medication management. RESULTS: Following project implementation, clients’ symptoms were decreased and both engagement in care and stability in the community increased. Psychiatric hospitalizations and associated costs decreased. CONCLUSIONS: This project suggests utility for using pharmacogenomics testing to personalize care for persons with severe mental illness.

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Medication non-adherence in bipolar disorder: Review of rates, demographic and clinical predictors

Cited by 9 publications

References 174 publications

Psycho-demographic and clinical predictors of medication adherence in patients with bipolar I disorder in a university hospital in Egypt

Psycho-demographic and clinical predictors of medication adherence in patients with bipolar I disorder in a university hospital in Egypt

Response to the article entitled ‘Mood stabilisers and risk of stroke in bipolar disorder’

Bringing Personalized Medicine to a PACT Program: A Quality Improvement Project

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