Speech-language intervention in schizophrenia: an integrative review

Mac-Kay, Ana Paula Machado Goyano; Jerez, Ivonne Mondaca; Pesenti, Pía Monardez

doi:10.1590/1982-0216201820219317

Cited by 7 publications

(5 citation statements)

References 19 publications

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“…Despite the growing evidence that schizophrenia is characterized by pragmatic language deficits, there is lack of research in speech language therapy in schizophrenia (Joyal et al, 2016). This demands a need for more research into therapeutic treatments to establish a scientific evidence base for the benefit of the individual's quality of life (Mac-Kay et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Efficacy of cognitive pragmatic treatment in adults with schizophrenia

Muthu¹,

Nambi²,

Krishnan³

et al. 2023

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Objectives: The study aimed to evaluate the efficiency of cognitive-pragmatic treatment (CPT) in improving cognitive functions and pragmatic language abilities in adults with schizophrenia. Methods: 100 individuals with schizophrenia who fulfilled the inclusion criteria were assigned to control (n = 25) and experimental groups (n = 75). Experimental groups received CPT for 3 months, while the control group obtained only routine care. Individuals were tested both before and after the intervention to gauge their progress also 3 months post-intervention, a follow-up evaluation was carried out. Analyses employed parametric and non-parametric statistics. Results: The findings revealed significant variations among groups and tests (p<0.001), & interaction of groups with tests (p<0.001) on two-way Repeated Measures ANOVA. Both the post-test and the follow-up assessment indicated that the experimental group had significantly higher levels of pragmatic language skills and cognitive functioning than the control group. There has been no major influence of age, gender and illness duration on the treatment outcomes by three-way ANOVA. Conclusions: The present study showed that CPT improved pragmatic language communication skills & cognitive functioning in adults with schizophrenia.

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Section: Introductionmentioning

confidence: 99%

Efficacy of cognitive pragmatic treatment in adults with schizophrenia

Muthu¹,

Nambi²,

Krishnan³

et al. 2023

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“…Since its initial descriptions, speech abnormalities have been a hallmark feature of schizophrenia, and are often associated with core negative symptoms and social impairment [12]. These speech-language alterations consist of poverty of speech, disorganized speech, derailment, tangentiality, neologism, incoherence, mutism, perseveration, echolalia, thought blocking [33], and aprosodia [34,35]. Also known as attened speech intonation, aprosodia consists of diminished vocal emphasis [36]; reduced in ection and uency [37]; and prosody comprehension de cits, such as di culties in recognizing intonation patterns [35].…”

Section: Introduction a Motivation And Problem Characterizationmentioning

confidence: 99%

“…Also known as attened speech intonation, aprosodia consists of diminished vocal emphasis [36]; reduced in ection and uency [37]; and prosody comprehension de cits, such as di culties in recognizing intonation patterns [35]. These symptoms result from de cits in semantic memory, working memory and executive function and contribute to the frequent communication disorders seen in schizophrenia [33,38].…”

Section: Introduction a Motivation And Problem Characterizationmentioning

confidence: 99%

Detection of Major Depressive Disorder, Bipolar Disorder, Schizophrenia and Generalized Anxiety Disorder Using Vocal Acoustic Analysis and Machine Learning

Espinola

Gomes

Pereira

et al. 2022

Preprint

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Purpose Current diagnosis and treatment in psychiatry are heavily depends patients’ reports and clinician judgement, thus are sensitive to memory and subjectivity biases. On the other hand, a growing effort in developing objective markers in psychiatry may be a way to face all these challenges. Vocal acoustic features have been recently studied as objective measures, with the advantages of being accessible, inexpensive, non-invasive and remotely performed. Method The main objective of this work is to propose a methodology to support the diagnosis of major depressive disorder, bipolar disorder, schizophrenia, and generalized anxiety disorder using vocal acoustic analysis and machine learning. Seventy-eight individuals over 18 years old were recruited into five groups: 28 participants with major depressive disorder; 20 patients with schizophrenia; 15 patients with bipolar disorder; 4 patients with generalized anxiety disorder; and 12 healthy controls. ResultsRecordings were submitted to a vocal feature extraction algorithm, and to experiments using different machine learning classification techniques. Random Forests with 300 trees achieved the greatest classification performance (75.27% for accuracy, 69.08% for kappa, 75.30% for sensitivity, and 93.80% for specificity) for the simultaneous detection of major depressive disorder, schizophrenia, bipolar disorder and generalized anxiety disorder.ConclusionAs changes in vocal patterns have been reported in several mental disorders and appear to correlate with illness severity, vocal acoustic features have shown to be promising markers, with the advantages of being abundant, inexpensive, non-invasive and remotely performed. The results provided by our proposed solution support the feasibility of a computational method based on vocal parameters for assisting clinicians in patient triage and diagnosis in psychiatry.As the main contribution of this work, we present the intelligent system composed of the support vector machine and the time and frequency characteristics of the audio, which works as a digital biomarker to support the diagnosis of mental disorders in the context of psychiatric emergency.

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“…The evidence indicates that speech therapy is essential in the approach of hospitalized patients with swallowing 7 , language and speech disorders 8 , subjects with neurocognitive disorders 9,10 , severe burns 4 , psychiatric patients 11,12 , and people who require rehabilitation in the various areas of the profession.…”

Section: Introductionmentioning

confidence: 99%

Profile of patients undergoing speech-language therapy in a physical and rehabilitation medicine hospital service

Farias

Rivas

2021

Rev. CEFAC

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Purpose: to analyze the profile and risk factors of patients attended by speech therapists in a hospital service of physical and rehabilitation medicine (P&RM) of the public health system. Methods: a retrospective cohort study was carried out. The variables were summarized using frequencies, proportions, and measures of central tendency. Relative risks (RR) were estimated, using the incidence ratio (IC:95%) and the bilateral Fisher's exact test. A level of significance was considered p <0.05. Results: 23,365 speech therapy activities distributed in 8,416 sessions were carried out between September 2016 to September 2018, with patients admitted to a P&RM service. The activities focused people over 60 years in the areas of swallowing (28.6%) and cognition (11.7%). Age equal to or greater than 60 years was identified as a risk factor for admission, due to cerebrovascular disease of 1.36 (95% CI: 1.24-1.49; p = 0.001), and belonging to section B of the National Health Fund (FONASA), 1.37 (95% CI: 1.29-1.46, p = 0.001). The RR for respiratory pathology was greater in the winter period: 1.63 (95% CI: 1.50-1.76; p = 0.001). Conclusion: elderly and low-income people are more likely to need speech therapy rehabilitation in the context of P&RM service.

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Speech-language intervention in schizophrenia: an integrative review

Cited by 7 publications

References 19 publications

Efficacy of cognitive pragmatic treatment in adults with schizophrenia

Efficacy of cognitive pragmatic treatment in adults with schizophrenia

Detection of Major Depressive Disorder, Bipolar Disorder, Schizophrenia and Generalized Anxiety Disorder Using Vocal Acoustic Analysis and Machine Learning

Profile of patients undergoing speech-language therapy in a physical and rehabilitation medicine hospital service

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