Illness uncertainty among patients with COVID-19 in the Mobile Cabin Hospital

Perceived Stress and Level of Uncertainty Among Hospitalized COVID-19 Patients

Introduction

Disease uncertainty refers to the inability to assign meaning to events related to the illness. Uncertainty of the disease can affect various aspects of human life such as psychological aspects.

Objectives

This study aims to examine the relationship between disease uncertainty and perceived stress in COVID-19 patients.

Methods

An analytical cross-sectional study was conducted on 212 hospitalized COVID-19 patients who were initially admitted to the intensive care units (ICUs) and later transferred to general wards within the same hospitals. Three instruments were utilized to collect data for this study. The Demographic Information Questionnaire, Mishel Uncertainty in Illness Scale (MUIS) for disease uncertainty, and Perceived Stress Questionnaire. For data analysis, both descriptive and inferential statistics were employed using IBM SPSS Statistics version 25.

Results

The Pearson correlation coefficient matrix results showed a positive and significant relationship between uncertainty about the illness (P < .001, r = 0.829), ambiguity (P < .001, r = 0.795), complexity (P < .001, r = 0.835), inconsistency or instability (P < .001, r = 0.787), and unpredictability (P < .001, r = 0.776) with perceived stress in COVID-19 patients transferred from the intensive care units.

Conclusion

Based on the findings of the current study, both uncertainty and perceived stress are elevated among COVID-19 patients, and a significant and direct relationship exists between these two variables. Healthcare providers, particularly nurses, should address the uncertainties surrounding emerging diseases, both at the hospital and community levels.

Illness Experiences of Brazilian People Who Were Hospitalized Due to COVID-19 and Faced Long COVID Repercussions in Their Daily Life: A Constructivist Grounded Theory Study

Long COVID is a multisystem condition that has multiple consequences for the physical, mental, and social health of COVID-19 survivors. The impact of the long COVID condition remains unclear, particularly among middle-aged and older adults, who are at greater risk than younger people of persisting symptoms associated with COVID-19. Therefore, we aimed to understand the experiences of middle-aged and older people who had been hospitalized for COVID-19 and the repercussions of long-term COVID symptoms in their daily lives. A qualitative study was carried out, adopting the framework of the constructivist grounded theory (CGT) proposed by Kathy Charmaz. Fifty-six middle-aged and older adult participants from the southern region of Brazil were recruited. Data were gathered from semi-structured telephone interviews. Concomitantly a comparative analysis was performed to identify categories and codes using the MaxQDA® software (version 2022). Three subcategories were identified: (1) experiencing COVID-19 in the acute phase; (2) oscillating between 'good days' and 'bad days' in long COVID; and (3) (re)constructing identity. These concepts interact with each other and converge upon the central category of this study: recasting oneself to the uniqueness of the illness experience of long COVID. Our findings provided insights related to the disruption in the lives of long COVID-19 sufferers who still live with persistent symptoms of the disease, including physical, social, family, emotional and spiritual repercussions. Likewise, this study may aid in developing friendly and welcoming social environments, lowering stigma and prejudice towards patients with long COVID, and fostering prompt and suitable policy support and mental health care for these individuals.

The relationship between uncertainty and acute procedure anxiety among surgical patients in Chinese mainland: the mediating role of resilience

BACKGROUND

Surgery, as one of the main diagnostic and treatment methods, is a routine work in medical settings. Patients undergoing surgery often experience acute procedure anxiety due to uncertainty. There is ample evidence showing that uncertainty is a risk factor for the acute procedure anxiety in surgical patients. However, little is known about the psychological processes mediating this relationship. Therefore, this study aims to evaluate resilience as a mediator of the association between uncertainty and anxiety.

METHODS

A population-based cross-sectional survey with a convenience sampling method was conducted, involving 243 surgical patients in Jiaxing, Zhejiang province of China was carried out. Relevant data were collected by self-reporting questionnaires, including demographic characteristics questionnaire, Amsterdam Preoperative Anxiety and Information Scale (APAIS-C), Mishel's Illness Uncertainty Scale (MUIS), Connor-Davidson Resilience Scale (CD-RISC). Pearson correlation analysis was employed to examine correlations between various variables. A path model was used to assess the mediation effect of resilience with respect to uncertainty and acute procedure anxiety.

RESULTS

In the path model, uncertainty have an indirect effect on acute procedure anxiety through resilience. The results suggest that resilience has a mediating role in uncertainty and acute procedure anxiety among surgical patients.

CONCLUSIONS

These findings call for the development of interventions targeting the role of resilience in effectively predicting and preventing acute procedure anxiety and uncertainty among surgical patients.

Latent profile analysis of security among patients with COVID-19 infection in mobile cabin hospitals and its relationship with psychological capital

Aim

COVID-19 patients' security is related to their mental health. However, the classification of this group's sense of security is still unclear. The aim of our research is to clarify the subtypes of security of patients infected with COVID-19, explore the factors affecting profile membership, and examine the relationship between security and psychological capital for the purpose of providing a reference for improving patients' sense of security and mental health.

Methods

A total of 650 COVID-19 patients in a mobile cabin hospital were selected for a cross-sectional survey from April to May 2022. They completed online self-report questionnaires that included a demographic questionnaire, security scale, and psychological capital scale. Data analysis included latent profile analysis, variance analysis, the Chi-square test, multiple comparisons, multivariate logistical regression, and hierarchical regression analysis.

Results

Three latent profiles were identified-low security (Class 1), moderate security (Class 2), and high security (Class 3)-accounting for 12.00, 49.51, and 38.49% of the total surveyed patients, respectively. In terms of the score of security and its two dimensions, Class 3 was higher than Class 2, and Class 2 was higher than Class 1 (all P < 0.001). Patients with difficulty falling asleep, sleep quality as usual, and lower tenacity were more likely to be grouped into Class 1 rather than Class 3; Patients from families with a per capita monthly household income <3,000 and lower self-efficacy and hope were more likely to be grouped into Classes 1 and 2 than into Class 3. Psychological capital was an important predictor of security, which could independently explain 18.70% of the variation in the patients' security.

Conclusions

Security has different classification features among patients with COVID-19 infection in mobile cabin hospitals. The security of over half of the patients surveyed is at the lower or middle level, and psychological capital is an important predictor of the patients' security. Medical staff should actively pay attention to patients with low security and help them to improve their security level and psychological capital.

Ensuring sufficient cabin hospital beds for curbing the spread of COVID-19 - Findings from petri net analysis

Due to the complexity of the virus and its rapid rate of spread, many countries face the same challenges of providing adequate medical resources. This paper provides an analytical approach for evaluating the possibility of the regional construction industry constructing a large number of cabin hospitals within a short time. The key idea is to compare the demand and supply of patient beds using a Petri net-based approach that incorporates a neural network for the prediction of demand, fuzzy logic for decision-making, and a linear model for predicting supply. The data reported in the Shanghai Omicron battle is used to validate the developed model. Our results show that the fastest conversion speed and the least manpower requirement are obtained from high-rise buildings. Then, preparing some high-rises for easy conversion into cabin hospitals seems a possible solution for future citywide preparedness toward pandemic resilience.

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A Petri net analytical tool for studying cabin hospital demand and supply.

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The case of the Shanghai Omicron outbreak.

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Sensitivity analysis for the impact of manpower and impact of venue size.

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Vertical cabin hospitals are recommended to build post-pandemic resilience.

Social Support and Fear of Cancer Recurrence Among Chinese Breast Cancer Survivors: The Mediation Role of Illness Uncertainty

Objective

To examine the relations between social support, illness uncertainty (IU), and fear of cancer recurrence (FCR).

Methods

Using data from a convenience sample of 231 breast cancer survivors in China to perform structural equation modeling with bootstrapping estimation. Participants were recruited from a general hospital in Shenyang, China. Participants completed the Perceived Social Support Scale, Mishel Uncertainty in Illness Scale, and Fear of Cancer Recurrence Inventory- Shorter Form.

Results

The majority of breast cancer survivors have FCR (67.5%). FCR was significantly negatively associated with social support, and was significantly positively associated with IU (both P < 0.01). Moreover, IU was found to mediate the relationship between social support and FCR (standardized indirect effect = -0.18; bias-corrected 95% confidence interval: -0.255, -0.123).

Conclusion

The findings support the final model. Good social support can directly mitigate FCR, while illness uncertainty can play a mediation role between social support and FCR. Further studies should be conducted to explore effective interventions for social support and IU to ultimately mitigate FCR in cancer survivors.

Illness uncertainty among patients with COVID-19 in the Mobile Cabin Hospital

Aims

To investigate the status and influencing factors of illness uncertainty among patients with coronavirus disease 2019 (COVID‐19) in the mobile cabin hospital.

Design

A cross‐sectional study.

Methods

114 patients with COVID‐19 admitted to a mobile cabin hospital in Wuhan, Hubei Province, in February 2020 were enrolled by a convenience sampling method. The Chinese version of the Mishel Illness Uncertainty Scale (MUIS) was used to assess patients’ degree of illness uncertainty, and multiple regression analysis was used to explore the influencing factors.

Results

The average total score of MUIS (Chinese version) was 52.22 ± 12.51, indicating a moderate level of illness uncertainty. The dimension unpredictability turned out to have the highest mean score: 2.88 ± 0.90. The multiple stepwise regression analysis showed that female (t = 2.462, p = .015), monthly family income not less than RMB 10,000 (t = −2.095, p = .039), and disease duration of 28 days or more (t = 2.249, p = .027) were independent influencing factors of illness uncertainty.

Conclusion

Patients with COVID‐19 are at a moderate level of illness uncertainty. Medical staffs should pay more attention to female patients, patients with lower monthly family income, patients with the prolonged disease, and take targeted interventions to help them reduce illness uncertainty.

Impact

Facing the brand new and unknown infectious disease, patients confirmed of COVID‐19 suffer from immense physical and psychological stress, where illness uncertainty is a major stressor that troubles patients. The present study surveys illness uncertainty among patients with COVID‐19 in the mobile cabin hospital with results revealing a moderate level. Study results will benefit nurses in any setting where care for patients with COVID‐19 is provided, public policymakers and future researchers.