Quality of life and its association with current substance use, medication non-adherence and clinical factors of people with schizophrenia in Southwest Ethiopia: a hospital-based cross-sectional study

Desalegn, Defaru; Girma, Shimelis; Abdeta, Tilahun

doi:10.1186/s12955-020-01340-0

Cited by 19 publications

(21 citation statements)

References 28 publications

(37 reference statements)

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“…When we examined the independent association of each physical health condition and disability within groups, our results suggested that sociodemographic factors could have a greater impact in these associations in individuals with SSD. Although our results are not directly comparable with previous studies, they are in line with findings in previous research in ageing62 or some specific SMI populations 63 64. Further research is needed to understand the potential shared drivers of disability in individuals with BD and these conditions, in general, and diabetes and BD, in particular.…”

Section: Discussionsupporting

confidence: 62%

“…Although our results are not directly comparable with previous studies, they are in line with findings in previous research in ageing 62 or some specific SMI populations. 63 64 Further research is needed to understand the potential shared drivers of disability in individuals with BD and these conditions, in general, and diabetes and BD, in particular.…”

Section: Discussionmentioning

confidence: 99%

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Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register

et al. 2022

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ObjectivesThe first aim of this study was to design and develop a valid and replicable strategy to extract physical health conditions from clinical notes which are common in mental health services. Then, we examined the prevalence of these conditions in individuals with severe mental illness (SMI) and compared their individual and combined prevalence in individuals with bipolar (BD) and schizophrenia spectrum disorders (SSD).DesignObservational study.SettingSecondary mental healthcare services from South LondonParticipantsOur maximal sample comprised 17 500 individuals aged 15 years or older who had received a primary or secondary SMI diagnosis (International Classification of Diseases, 10th edition, F20-31) between 2007 and 2018.MeasuresWe designed and implemented a data extraction strategy for 21 common physical comorbidities using a natural language processing pipeline, MedCAT. Associations were investigated with sex, age at SMI diagnosis, ethnicity and social deprivation for the whole cohort and the BD and SSD subgroups. Linear regression models were used to examine associations with disability measured by the Health of Nations Outcome Scale.ResultsPhysical health data were extracted, achieving precision rates (F1) above 0.90 for all conditions. The 10 most prevalent conditions were diabetes, hypertension, asthma, arthritis, epilepsy, cerebrovascular accident, eczema, migraine, ischaemic heart disease and chronic obstructive pulmonary disease. The most prevalent combination in this population included diabetes, hypertension and asthma, regardless of their SMI diagnoses.ConclusionsOur data extraction strategy was found to be adequate to extract physical health data from clinical notes, which is essential for future multimorbidity research using text records. We found that around 40% of our cohort had multimorbidity from which 20% had complex multimorbidity (two or more physical conditions besides SMI). Sex, age, ethnicity and social deprivation were found to be key to understand their heterogeneity and their differential contribution to disability levels in this population. These outputs have direct implications for researchers and clinicians.

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Section: Discussionsupporting

confidence: 62%

Section: Discussionmentioning

confidence: 99%

Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register

et al. 2022

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“…It is equally plausible that poor health could be directly attributed to the consequences of misusing drugs (74). Prior studies have similarly reported poorer quality of life among patients with schizophrenia who were current substance users (75) and among those with current stimulant drug use (76). However, contrary to these findings, the study by Herman (77) found that inpatients with comorbid schizophrenia and substance abuse disorder reported better quality of life than those non-substance abusing inpatients.…”

Section: Discussionmentioning

confidence: 97%

Problematic Drug Use Among Outpatients With Schizophrenia and Related Psychoses

et al. 2021

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Background: Problematic drug use is common among psychiatric patients and is linked with poorer course and outcomes of illness. The aim of this study is to assess the prevalence of problematic drug use, and to explore its sociodemographic correlates and associations with health behaviors and outcomes among outpatients with schizophrenia and related psychoses in Singapore.Methods: Data from 397 individuals who were aged 21–65 years and were seeking treatment for schizophrenia and related psychoses in the outpatient clinics of a tertiary psychiatric hospital were analyzed. The Drug Abuse Screening Test (DAST-10) was used to assess problematic drug use. Information on sociodemographics, smoking status, alcohol use, symptoms severity and quality of life were collected. Multivariable logistic regressions were conducted to explore correlates and associations of problematic drug use.Results: The prevalence of problematic drug use was 5.8% (n = 23) in the sample, and 10.6% (n = 42) of the participants reported having problematic drug use and/or problematic alcohol use. More males than females reported having problematic drug use (p = 0.021), and also problematic drug and/or alcohol use (p = 0.004). Significant associations were observed between problematic drug use and smokers with nicotine dependence, and with physical health domain of quality of life. Individuals with greater symptom severity were approximately twice as likely to have problematic drug use and/or alcohol use.Conclusion: While the prevalence of problematic drug use in this sample population is relatively lower compared to other countries, there is a considerable number who might be at risk. Routine screening and close monitoring of drug use is recommended as part of psychiatric assessment, particularly among males and patients with nicotine dependence.

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“…Positive symptoms recurrence indicated that patients might stop or discontinue their medication (Kikkert & Dekker, 2017;Vassileva et al, 2014). Meanwhile, schizophrenia patients who had comorbid physical illnesses such as diabetes, hypertension, and cardiovascular disease tended to terminate taking polymedication (Desalegn et al, 2020;MacEwan, Silverstein, Shafrin, Lakdawalla, Hatch, & Forma, 2018). Evidently, re-hospitalization, relapse, and medication non-adherence were related to mental health-care services.…”

Section: Discussionmentioning

confidence: 99%

A Review of Factors Relating to Medication Non-Adherence in Patients with Schizophrenia

Meepring¹,

Tulyakul²,

Sathagathonthun³

et al. 2021

GJHS

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Schizophrenia is a severe chronic mental illness affecting twenty million people worldwide. Although the incidence of schizophrenia remains low, its prevalence may remain high due to medication non-adherence. Knowing potential factors relating to non-adherence with medication among patients with schizophrenia by investigating existing literature is needed in order to understand the phenomenology of this situation. Therefore, the study aimed to explore the most common factors that affected medication non-adherence in patients with schizophrenia. A systematic review was conducted through a literature search on Cochrane Database of Systematic Reviews, MEDLINE, PsycINFO, EBSCOhost, CINAHL Complete, ERIC, and Allied Health databases published from 1980 to 2021. Database searches were conducted with the terms “non-adherence to medication” “schizophrenia,” and “factors.” Eighty-six articles were found following the first-round search. Then seventy-eight articles were excluded due to irrelevant and duplicate tiles. Only eight articles were included for the final review. Per the findings, factors associated with medication non-adherence were categorized into four main themes: individual characteristics, cognitive appraisal, social influence, and health-care service. To improve medication adherence rates in patients with schizophrenia, psychiatric nurses must consider these specific factors while establishing nursing interventions.

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Quality of life and its association with current substance use, medication non-adherence and clinical factors of people with schizophrenia in Southwest Ethiopia: a hospital-based cross-sectional study

Cited by 19 publications

References 28 publications

Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register

Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register

Problematic Drug Use Among Outpatients With Schizophrenia and Related Psychoses

A Review of Factors Relating to Medication Non-Adherence in Patients with Schizophrenia

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