Dataset Information

Telephone based Interventions for Psychological Problems in Hospital Isolated Patients with COVID-19.

ABSTRACT: Objective:: The COVID-19 is overwhelming health care systems globally. Hospital isolation may generate considerable psychological stress. However, there has been scarce evidence on psychological interventions for these patients due to maintain staff safety. We investigated the feasibility and effectiveness of telephone based interventions for psychological problems in hospital isolated patients with COVID-19. Methods:Psychiatrists visited the ward where the patients were hospitalized and interventions were given by using a ward telephone for 30 minutes. All patients were approached to receive a two-week psychological intervention program and/or pharmacotherapy whenever needed. Psychological problems were assessed at baseline, one, and two weeks. For the assessment of anxiety and depressive symptoms, the Hospital Anxiety and Depression Scale was administered to patients once a week. Insomnia severity index and Beck Depression Inventory 9 item were checked weekly to assess insomnia and suicide idea. Results:Of 33 enrolled, clinically meaningful psychological symptoms were found in 6 (18%) patients for anxiety; 13 (39%) for depression; 10 (30%) for insomnia; and 3 (9%) for suicidal ideation. In 9 patients (27%), psychotropic medications were prescribed to manage anxiety, agitation, depressed mood, insomnia, impulsivity, and suicide idea. Compared to baseline, significant improvements were found in anxiety, depression, and suicidal ideation at one week. There were no statistical differences between the values evaluated at baseline and at two weeks. Conclusion:Our report at least indicates potential usefulness of telephone based interventions in hospital isolated patients with COVID-19, and will hopefully form the basis for future randomized clinical trials.

SUBMITTER: Kim JW

PROVIDER: S-EPMC7609215 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Telephone based Interventions for Psychological Problems in Hospital Isolated Patients with COVID-19.

Kim Ju-Wan JW Stewart Robert R Kang Seung-Ji SJ Jung Sook-In SI Kim Sung-Wan SW Kim Jae-Min JM

Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology 20201101 4

<h4>Objective</h4>: The COVID-19 is overwhelming health care systems globally. Hospital isolation may generate considerable psychological stress. However, there has been scarce evidence on psychological interventions for these patients due to maintain staff safety. We investigated the feasibility and effectiveness of telephone based interventions for psychological problems in hospital isolated patients with COVID-19.<h4>Methods</h4>Psychiatrists visited the ward where the patients were hospitali ...[more]

PMID: 33124594

Similar Datasets

Project description:The unpredictability of the COVID-19 pandemic can induce psychological distress in individuals. We investigated perceived stressors, prevalence of psychological distress and suicidal ideation, and predictors of psychological distress among adults during the COVID-19 pandemic in Eswatini. This study was a cross-sectional, population-based household telephone survey of 993 conveniently sampled adults (18+ years) from all the four administrative regions of Eswatini. Data were collected between 9 June and 18 July 2020 during the first wave of the COVID-19 pandemic, when the country was under a partial lockdown. COVID-19-related psychological distress was assessed using the Kessler 6-item Psychological Distress Scale (K6). We performed weighted modified Poisson regression analyses to identify significant predictors of moderate/severe psychological distress (K6 scores: ≥5). The weighted prevalences of moderate (K6 scores: 5-12) and severe psychological distress (K6 scores: ≥13) were 41.7% and 5.4%, respectively. Participants reported several perceived COVID-19-related stressors, including worries and fears of the contagion-specific death, serious need for food and money, and concerns about loss of income or business. The weighted prevalence of suicidal ideation was 1.5%. Statistically significant predictors of increased risk for moderate/severe psychological distress included living in the Hhohho and Manzini regions; feeling not well informed about COVID-19; feeling lonely; having received COVID-19 food or financial relief from the government; feeling burdened by the lockdown; being married; and being youth (18-24 years). The results call for the government to urgently augment the provision of mental health services during the pandemic. Mental health practitioners and programs may use several stressors and risk factors identified in this study to inform interventions and government policies aimed at reducing psychological distress induced by the pandemic.

Project description:BackgroundDifferent states in the United States had different nonpharmaceutical public health interventions during the COVID-19 pandemic. The effects of those interventions on hospital use have not been systematically evaluated. The investigation could provide data-driven evidence to potentially improve the implementation of public health interventions in the future.ObjectiveWe aim to study two representative areas in the United States and one area in China (New York State, Ohio State, and Hubei Province), and investigate the effects of their public health interventions by time periods according to key interventions.MethodsThis observational study evaluated the numbers of infected, hospitalized, and death cases in New York and Ohio from March 16 through September 14, 2020, and Hubei from January 26 to March 31, 2020. We developed novel Bayesian generalized compartmental models. The clinical stages of COVID-19 were stratified in the models, and the effects of public health interventions were modeled through piecewise exponential functions. Time-dependent transmission rates and effective reproduction numbers were estimated. The associations of interventions and the numbers of required hospital and intensive care unit beds were studied.ResultsThe interventions of social distancing, home confinement, and wearing masks significantly decreased (in a Bayesian sense) the case incidence and reduced the demand for beds in all areas. Ohio's transmission rates declined before the state's "stay at home" order, which provided evidence that early intervention is important. Wearing masks was significantly associated with reducing the transmission rates after reopening, when comparing New York and Ohio. The centralized quarantine intervention in Hubei played a significant role in further preventing and controlling the disease in that area. The estimated rates that cured patients become susceptible in all areas were small (<0.0001), which indicates that they have little chance to get the infection again.ConclusionsThe series of public health interventions in three areas were temporally associated with the burden of COVID-19-attributed hospital use. Social distancing and the use of face masks should continue to prevent the next peak of the pandemic.

Project description:BackgroundTelepsychiatry enables patients to establish or maintain psychiatric care during the COVID-19 pandemic. Little is known about the factors influencing patients' initial decisions to participate in telepsychiatry in the midst of a public health crisis.ObjectiveThis paper seeks to examine factors influencing patients' initial decisions to accept or decline telepsychiatry immediately after the stay-at-home order in Michigan, their initial choice of virtual care modality (video or telephone), and their anticipated participation in telepsychiatry once clinics reopen for in-person visits.MethodsBetween June and August 2020, we conducted a telephone-based survey using a questionnaire comprising 14 quantitative and two qualitative items as part of a quality improvement initiative. We targeted patients who had an in-person appointment date that fell in the first few weeks following the Michigan governor's stay-at-home order, necessitating conversion to virtual visits or deferment of in-person care. We used descriptive statistics to report individual survey responses and assess the association between chosen visit type and patient characteristics and future participation in telepsychiatry using multivariable logistic regression.ResultsA total of 244 patients whose original in-person appointments were scheduled within the first 3 weeks of the stay-at-home order in Michigan completed the telephone survey. The majority of the 244 respondents (n=202, 82.8%) initially chose to receive psychiatric care through video visits, while 13.5% (n=33) chose telephone visits and 1.2% (n=3) decided to postpone care until in-person visit availability. Patient age correlated with chosen visit type (P<.001; 95% CI 0.02-0.06). Patients aged ≥44 years were more likely than patients aged 0-44 years to opt for telephone visits (relative risk reduction [RRR] 1.2; 95% CI 1.06-1.35). Patient sex (P=.99), race (P=.06), type of insurance (P=.08), and number of previous visits to the clinic (P=.63) were not statistically relevant. Half of the respondents (132/244, 54.1%) stated they were likely to continue with telepsychiatry even after in-person visits were made available. Telephone visit users were less likely than video visit users to anticipate future participation in telepsychiatry (RRR 1.08; 95% CI 0.97-1.2). Overall, virtual visits met or exceeded expectations for the majority of users.ConclusionsIn this cohort, patient age correlates with the choice of virtual visit type, with older adults more likely to choose telephone visits over video visits. Understanding challenges to patient-facing technologies can help advance health equity and guide best practices for engaging patients and families through telehealth.

Dataset Information

Telephone based Interventions for Psychological Problems in Hospital Isolated Patients with COVID-19.

Publications

Telephone based Interventions for Psychological Problems in Hospital Isolated Patients with COVID-19.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets