Development of mental health indicators in Korea

COVID-19 Pandemic Simulation Modelling in Anaesthesia Residency Training to Predict Delays and Workforce Deficiencies: A Case Study of the Singapore Residency Training Program

Background COVID-19 has been the worst pandemic of this century, resulting in economic, social, and educational disruptions. Residency training is no exception, with training restrictions delaying the progression and graduation of residents. We sought to utilize simulation modelling to predict the impact on future cohorts in the event of repeated and prolonged movement restrictions due to COVID-19 and future pandemics of a similar nature. Method A Delphi study was conducted to determine key Accreditation Council for Graduate Medical Education-International (ACGME-I) training variables affected by COVID-19. Quantitative resident datasets on these variables were collated and analysed from 2018 to 2021. Using the Vensim® software (Ventana Systems, Inc., Harvard, MA), historical resident data and pandemic progression delays were used to create a novel simulation model to predict future progression delay. Various durations of delay were also programmed into the software to simulate restrictions of varying severity that would impact resident progression. Results Using the model with scenarios simulating varying pandemic length, we found that the estimated average delay for residents in each accredited year ranged from an increase of one month for year 2 residents to more than three months for year 4 residents. Movement restrictions lasting a year would require up to six years before the program returned to a pre-pandemic equilibrium. Conclusion Systems dynamic modelling can be used to predict delays in residency training programs during a pandemic. The impact on the workforce can thus be projected, allowing residency programs to institute mitigating measures to avoid progression delay.

Development of a growth monitoring and promotion index to improve child health in Zimbabwe

In Zimbabwe, growth monitoring and promotion as conducted by community health workers are part of the nutritional surveillance system. This study seeks to develop a new index which will combine both caregiver behaviours, attitudes and CHW growth monitoring and promotion activities. An explanatory sequential mixed method design will be conducted in three phases. Phase one will comprise a scoping literature review. The second phase will comprise a needs analysis through quantitative data collection using two surveys of community health workers and caregivers of children under five years. Thereafter, qualitative data will be collected from caregivers of children under five years. The quantitative data will be analysed using SPSS while qualitative data will be collected and analysed using Atlas-ti. Phase three will be the development phase for the growth monitoring and promotion Index. The growth monitoring and promotion Index will be used to classify the GMP performance of districts through the DHIS2 thus strengthening the quality of growth monitoring and promotion. Recommendations on the findings and the adoption of the Index will be shared with the Ministry of Health and Child Care and key stakeholders implementing maternal, newborn and child health programmes in Zimbabwe for adoption and use in growth monitoring and promotion programming.

Inequalities in Health: Methodological Approaches to Spatial Differentiation

The prevalence of inequalities in the general health position of communities can be assessed by using selected determinants. The aims of this article are three-fold: (1) to apply a comprehensive approach to the assessment of inequalities in the general health position of communities, (2) to determine the spatial differentiation of determinants, and (3) to present selected assessment methods and their impact on the results. To present a quantitative assessment of these inequalities in health status in communities, a composite indicator (Health Index) was developed. This Health Index is composed of 8 areas of evaluation and 60 indicators which include, amongst others, determinants of health status and healthcare at district level (LAU 1) in the Czech Republic. The data are evaluated using multicriteria decision-making methods (the WSA and TOPSIS methods). Findings suggest that, when all eight domains are assigned the same weight of one, the spatial differentiation among the districts is similar when using both methods. If different weightings are assigned to the districts, changes occur in both the index values and the rankings of the analyzed districts. For example, the allocation of weightings in both methods results in a rearrangement of the ranking of districts for which the Health Index is around the average.

Stress of COVID-19, Anxiety, Economic Insecurity, and Mental Health Literacy: A Structural Equation Modeling Approach

The COVID-19 pandemic is currently a global health threat attributed to negatively affecting the mental health and well-being of people globally. The purpose of the current study is to examine the mediating roles of economic insecurity and mental health literacy in the relationship between stress about COVID-19 and anxiety. Results from the current study using a large sample of Chinese college students (N = 1,334) showed that stress of COVID-19 was positively associated with economic insecurity and anxiety while negatively associated with mental health literacy, which in turn was negatively associated with anxiety. These results elucidate our understanding of the role of mediators in stress about COVID-19 and anxiety. The findings are useful in terms of providing evidence for tailoring interventions and implementing preventative approaches to mitigate anxiety due to stress of COVID-19. Based on the present findings and within the context of COVID-19, the potential utility of promoting MHL to reduce the psychopathological consequences of COVID-19 is discussed.

Delphi methodology in healthcare research: How to decide its appropriateness

The Delphi technique is a systematic process of forecasting using the collective opinion of panel members. The structured method of developing consensus among panel members using Delphi methodology has gained acceptance in diverse fields of medicine. The Delphi methods assumed a pivotal role in the last few decades to develop best practice guidance using collective intelligence where research is limited, ethically/logistically difficult or evidence is conflicting. However, the attempts to assess the quality standard of Delphi studies have reported significant variance, and details of the process followed are usually unclear. We recommend systematic quality tools for evaluation of Delphi methodology; identification of problem area of research, selection of panel, anonymity of panelists, controlled feedback, iterative Delphi rounds, consensus criteria, analysis of consensus, closing criteria, and stability of the results. Based on these nine qualitative evaluation points, we assessed the quality of Delphi studies in the medical field related to coronavirus disease 2019. There was inconsistency in reporting vital elements of Delphi methods such as identification of panel members, defining consensus, closing criteria for rounds, and presenting the results. We propose our evaluation points for researchers, medical journal editorial boards, and reviewers to evaluate the quality of the Delphi methods in healthcare research.

Delphi methodology in healthcare research: How to decide its appropriateness

The Delphi technique is a systematic process of forecasting using the collective opinion of panel members. The structured method of developing consensus among panel members using Delphi methodology has gained acceptance in diverse fields of medicine. The Delphi methods assumed a pivotal role in the last few decades to develop best practice guidance using collective intelligence where research is limited, ethically/logistically difficult or evidence is conflicting. However, the attempts to assess the quality standard of Delphi studies have reported significant variance, and details of the process followed are usually unclear. We recommend systematic quality tools for evaluation of Delphi methodology; identification of problem area of research, selection of panel, anonymity of panelists, controlled feedback, iterative Delphi rounds, consensus criteria, analysis of consensus, closing criteria, and stability of the results. Based on these nine qualitative evaluation points, we assessed the quality of Delphi studies in the medical field related to coronavirus disease 2019. There was inconsistency in reporting vital elements of Delphi methods such as identification of panel members, defining consensus, closing criteria for rounds, and presenting the results. We propose our evaluation points for researchers, medical journal editorial boards, and reviewers to evaluate the quality of the Delphi methods in healthcare research.

The use of indicators for the management of Mental Health Services

OBJECTIVE

to identify indicators that can be used in the management of Mental Health Services.

METHOD

an integrative review in which we adopted the Population, Concept, and Context strategy to formulate the following Guiding Question: "Which indicators can be used for the management of mental health services?".

RESULTS

a total of 22 articles were included and divided into two main groups: countries with initial high income (54%) as well as low- and middle-income countries (46%). We identified 5 studies that had experienced the use of indicators, 5 studies that had reported partial implementation, 9 studies that did not report use or implementation, 1 study on the indicator selection process, 1 as an implementation pilot, and a final study with a discussion for implementation. High-income countries also find it difficult to implement mental health indicators. The main difficulties in adopting the use of indicators are lack of basic mental health services, financial resources, legislation, political interest, and guidelines for its management.

CONCLUSION

it is unusual to find a descriptive comparison of quality monitoring programs at the system level in the technical-scientific literature related to mental health indicators.

Delphi Technique in Health Sciences: A Map

Objectives: In health sciences, the Delphi technique is primarily used by researchers when the available knowledge is incomplete or subject to uncertainty and other methods that provide higher levels of evidence cannot be used. The aim is to collect expert-based judgments and often to use them to identify consensus. In this map, we provide an overview of the fields of application for Delphi techniques in health sciences in this map and discuss the processes used and the quality of the findings. We use systematic reviews of Delphi techniques for the map, summarize their findings and examine them from a methodological perspective.

Methods: Twelve systematic reviews of Delphi techniques from different sectors of the health sciences were identified and systematically analyzed.

Results: The 12 systematic reviews show, that Delphi studies are typically carried out in two to three rounds with a deliberately selected panel of experts. A large number of modifications to the Delphi technique have now been developed. Significant weaknesses exist in the quality of the reporting.

Conclusion: Based on the results, there is a need for clarification with regard to the methodological approaches of Delphi techniques, also with respect to any modification. Criteria for evaluating the quality of their execution and reporting also appear to be necessary. However, it should be noted that we cannot make any statements about the quality of execution of the Delphi studies but rather our results are exclusively based on the reported findings of the systematic reviews.

Developing medical record-based, healthcare quality indicators for psychiatric hospitals in China: a modified Delphi-Analytic Hierarchy Process study

OBJECTIVES

To develop a medical record-based, comprehensive system of healthcare quality indicators for psychiatric hospitals in China.

DESIGN

A modified Delphi process with analytic hierarchy process (AHP) was used.

PARTICIPANTS

Twenty nationally-recognized experts were invited to participate in two rounds of Delphi expert consultation and AHP.

METHODS

Fifty potential indicators were included based on literature review, and 20 experts were asked to rate the importance of each indicator using two rounds of email surveys. The AHP was used to determine the relative importance of the finalized quality indicators.

RESULTS

The average authoritative coefficient was 0.92 ± 0.07. After two rounds of Delphi consultation, 47 healthcare quality indicators were identified for Chinese psychiatric hospitals. The mean importance ratings ranged from 7.06 to 8.84 on a nine-point scale, with variation coefficients ranging from 0.04 to 0.22. The percentage of full score for potential indicators ranged from 16% to 74%. In two rounds, the Kendall's W coefficients ranged from 0.423 to 0.535. The weights of structure, process and outcome were 0.175, 0.211 and 0.614, respectively.

CONCLUSION

We developed the first set of healthcare quality indicators for psychiatric hospitals in mainland China, and it will provide a standardized and meaningful guide to evaluate the healthcare quality of psychiatric hospitals across the country.

Prevalence of Psychiatric Disorders in Iran: A Systematic Review and Meta-analysis

The prevalence of mental disorders in Iran is rising for many reasons including the population growth and its problems, the collapse of the family foundation, the economic problems, etc. Epidemiological studies of psychiatric disorders play an important role in determining the general mental health of the population and policy-making and future planning of service delivery. To identify the relevant studies, two authors independently searched different scholarly databases including Embase, PubMed/MEDLINE, ISI/Web of Science (WOS), Scopus, Psych INFO, and Iranian databases such as MagIran, SID, IranPsych, and Irandoc from 1^st January 2007 up to 1^st July 2018. The gray literature (through Google Scholar) was also mined. Studies written in English or in the Persian language were searched. After searching the databases and removing duplicates cases, a total of 10 studies were selected and included in the study, which reported a total of 14 prevalence rates. There were a total of 72,262 participants, of whom 32,925 were male and 39,337 were female. The prevalence of psychiatric disorders in studies which used screening tool was 31.03% (95% confidence interval: 25.99–36.07). The prevalence was 25.42% in studies which used clinical interviews (95% CI: 15.96–34.88). There is an undeniable fact that the prevalence of mental disorders in Iran has been increasing, and this could be a warning to policy-makers and health system managers. Hence, it is necessary to pay attention to this issue to maintain social capital, vitality, and efficiency of individuals and society as a whole.

The relationship between pulmonary function and suicidal ideation in Korean adults: a nationwide survey

Controversy surrounds the association between lung function and mental health in the general population, and previous reported results were confounded by the effect of other chronic illnesses. This study aimed to investigate whether reduced lung function was related to mental health issues, taking into consideration the relevant potential confounders. We used data from the 2008-2013 Korean National Health and Nutrition Examination Survey to examine the relationship between lung function and three mental issues (recognized stress, depressive mood, and suicidal ideation) among 22,068 Korean adults. A multiple logistic regression with adjustment for potential covariates including chronic illnesses revealed that a .5-L decrement of forced vital capacity increased the risk for suicidal ideation in both genders, but there was no significant association with recognized stress or depressive mood. We found an inverse relationship between lung function and suicidal ideation in the Korean general population.

Indicators of mental health in various Iranian populations

Background:

Promoting mental health and preventing mental disorders are of the main concerns for every country. Achieving these goals requires effective indexes for evaluating mental health. Therefore, to develop mental health enhancement programs in Iran, there is a need to measure the state of mental health in Iran.

Objectives:

This study aimed to select a set of mental health indicators that can be used to monitor the status of mental health in Iran.

Materials and Methods:

This research work used Q-methodology which combines both quantitative and qualitative research methods for establishment of mental health indicators in Iran. In this study, 30 participants were chosen by purposive sampling from different types of professionals in the field of mental health.

Results:

Twenty seven mental health indicators were obtained from the Q-methodology. The most important indicators obtained in this study are as follows: annual prevalence of mental disorders, suicide rates, number of mental health professionals, mental health expenditures and suicide related deaths.

Conclusions:

This study provides mental health indices for measuring mental health status in Iran. These mental health indices can be used to measure progress in the reform policies and community mental health services.