6 research outputs found

    Psychotherapy for Healthcare Provider During COVID-19 Pandemic: An Evidence Based Clinical Review

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    Background: health workers are one of the groups affected physically as well as psychologically from the pandemic. Recent studies showed many of the health workers reported experiencing anxiety, depression, and insomnia. This study aims to identify psychotherapy as a psychological health intervention, for healthcare workers during the COVID-19 pandemic. Methods: an evidence based clinical review of psychotherapy as a psychological health intervention, reported in the literature, which is developed for healthcare workers during the COVID-19 pandemic. The review was conducted following set out for Evidence-based clinical review by searching the following digital libraries: PubMed, ProQuest, Cochrane, and Google Scholar. Results: six publications were selected. The identified psychotherapy used as a mental or psychological intervention for healthcare workers during COVID-19 consists of supportive psychotherapy, psychoeducation, social support, and music therapy. Overall, it shows that psychotherapy, especially supportive psychotherapy, can reduce anxiety, depression, and insomnia. Conclusion: the physiological condition of health workers needs to get attention during the COVID-19 pandemic. Although there is no standard of therapy yet, psychotherapy could be an option as it is proven to be able to reduce anxiety, depression, and insomnia

    Supportive Psychotherapy for Healthcare Professionals in The Management of Acute Coronary Syndrome: The Use of Delphi Technique

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    Background. Supportive psychotherapy (SP) may increase the benefit of acute coronary syndrome (ACS) management, but there is no structured SP as a guideline for healthcare professionals. This study aimed to develop structured SP as a guideline for implementing psychotherapy in the management of ACS patients in intensive cardiac care unit (ICCU). Methods. This qualitative study used Delphi technique as a modified Delphi method to reach a consensus among experts of structured SP for healthcare professionals in the management of ACS during hospitalized in ICCU. This was developed using self-reflection, observation, and interview of SP implementation in daily psychosomatic practice, gathering literature reviews, doing focus group discussion (FGD) and interview with ACS survivors. During the Delphi rounds, we interviewed 50 informants as source people using valid questionnaires, to proceed a draft of the SP framework and the structured sessions. The SP framework draft and the structured sessions were evaluated and corrected by experts anonymously until the consensus was reached. The validity of the consensus was tested, using Likert psychometric scale to reach an agreement. Cronbach alpha test was used to assess construct validity with SPSS 20. Results. All of preparations conducted before the Delphi rounds showed that ACS patients had psychosomatic disorders during in ICCU, that required support. SP is very helpful to reduce the negative impact of this disorders.Off 50 informants answered a valid and reliable questionnaire which supports the above statement. The draft was made based on the above process. The development of SP for healthcare professionals of ACS managements was reached in a consensus of expert panelists in the second round of the Delphi with Cronbach alpha of 0.9. Conclusion: Supportive psychotherapy (SP) for healthcare professionals in the management of ACS in ICCU were developed and may be applied in clinical practice and research. © 2022, Indonesian Society of Internal Medicine. All rights reserved

    Association of rs1344706 in the ZNF804A gene with schizophrenia in a case/control sample from Indonesia

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    Background: Association of rs1344706 in the ZNF804A gene (2q32.1) with schizophrenia was first reported in a genome wide scan conducted in a sample of 479 cases and replicated in 6666 cases. Subsequently, evidence by replication was obtained in several samples with European- and Asian ancestral background. Methods: We report ascertainment, clinical characterization, quality control, and determination of ancestral background of a case control sample from Indonesia, comprising 1067 cases and 1111 ancestry matched controls. Genotyping was performed using a fluorescence-based allelic discrimination assay (TaqMan SNP genotyping assay) and a newly designed PCR-RFLP assay for confirmation of rs1344706 genotypes. Results: We confirmed association of the T-allele of rs1344706 with schizophrenia in a newly ascertained sample from Indonesia with Southeast Asian ancestral background (P = 0.019, OR = 1.155, 95%, CI 1.025-1.301). In addition, we studied several SNPs in the vicinity of rs1344706, for which nominally significant results had been reported. None of the association P values of the additional SNPs exceeded that of rs1344706. Conclusion: We provide additional evidence for association of the ZNF804A gene with schizophrenia. We conclude that rs1344706 or a yet unknown polymorphism in linkage disequilibrium is also involved in conferring susceptibility to schizophrenia in samples with different (Asian) ancestral backgrounds

    Mapping genomic loci implicates genes and synaptic biology in schizophrenia

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    Schizophrenia has a heritability of 60-80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies.11Nsciescopu

    Mapping genomic loci implicates genes and synaptic biology in schizophrenia

    No full text
    Schizophrenia has a heritability of 60–80%1, much of which is attributable to common risk alleles. Here, in a two-stage genome-wide association study of up to 76,755 individuals with schizophrenia and 243,649 control individuals, we report common variant associations at 287 distinct genomic loci. Associations were concentrated in genes that are expressed in excitatory and inhibitory neurons of the central nervous system, but not in other tissues or cell types. Using fine-mapping and functional genomic data, we identify 120 genes (106 protein-coding) that are likely to underpin associations at some of these loci, including 16 genes with credible causal non-synonymous or untranslated region variation. We also implicate fundamental processes related to neuronal function, including synaptic organization, differentiation and transmission. Fine-mapped candidates were enriched for genes associated with rare disruptive coding variants in people with schizophrenia, including the glutamate receptor subunit GRIN2A and transcription factor SP4, and were also enriched for genes implicated by such variants in neurodevelopmental disorders. We identify biological processes relevant to schizophrenia pathophysiology; show convergence of common and rare variant associations in schizophrenia and neurodevelopmental disorders; and provide a resource of prioritized genes and variants to advance mechanistic studies
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