Exploring hospitals' functional preparedness effective factors in response to disasters: a qualitative study in a lower middle-income country.

BACKGROUND: Medical services are among the most urgent needs of the disaster-affected population. Consequently, hospital preparedness -as the main health services provider- is one of the vital factors in effective response to disasters. The present study aims to explore the perspectives of study participants about the influential factors of hospital functional preparedness in a lower middle-income country. METHODS: In this qualitative study, data were collected through 17 semi-structured interviews with disaster management authorities selected by purposive sampling. Content-Analysis was used to analyze the data. RESULTS: 138 codes were developed and categorized into ten categories and 34 subcategories. The main categories were: 1- leadership, command, and coordination (4 subcategories); 2- risk assessment (3 subcategories); 3- legislating and developing protocols, guidelines, and programs (3 subcategories); 4- estimating and storing the necessary supplies and equipment (3 subcategories); 5- human resource management (4 subcategories); 6- education, training, and development of staff (6 subcategories); 7- vital routes and facilities (3 subcategories); 8- communication (3 subcategories); 9- security, safety and locating of safe zones (3 subcategories); 10- underlying disaster risk factors (2 subcategories). CONCLUSION: According to the participants of this study, ten categories of factors can affect hospitals' functional preparedness; hospital managers and decision-makers can consider these factors to ensure the proper provision of medical services during disasters.

Psychometric properties of public trust in Covid-19 control and prevention policies questionnaire.

BACKGROUND: Public trust is a crucial concept in the COVID-19 pandemic, which determines public adherence with preventive rules as a success factor for disease management. This study aimed to develop and validate a tool to measure public trust in COVID-19 control and prevention policies (COV-Trust tool). METHODS: This is a psychometric study that was conducted in 2020 (March-August). A primary tool was developed through literature review, in-depth interviews with experts and expert panel meetings. Content and construct validity was evaluated using content validity index (CVI) and content validity ratio (CVR) indexes and exploratory and confirmatory factor analysis, respectively. Cronbach α coefficient was calculated to determine the internal consistency. RESULTS: A 28-item questionnaire with seven factors was developed. Factors included macro policy-making and management of pandemic, pandemic control policies implementing at all levels and their effectiveness, providing protective equipment and medicine for hospitals and public, prevention of negative socio-economic consequences of the pandemic, public participation, informing and public education and public behavior. The questionnaire reliability was calculated to be α = 0.959. Based on the experts' opinion, tool content validity was estimated to be CVR = 0.73, CVI = 0.89. RMSEA = 0.07 revealed a good model fit as the confirmatory factor analysis results for the tool. CONCLUSION: COV-Trust tool is a well-fit tool to be used during this pandemic for improving policies effectiveness and could be used in similar situations as it determines the success of public health interventions.

Countries' experiences in reforming hospital administration structure based on the Parker and Harding model: A systematic review study.

In recent years, many reforms have been made on the structure of hospital administration, most of which are proposed by Parker-Harding models. Therefore, the purpose of this study is to systematically review global relevant experiences in reforming the hospital governance structure with emphasis on the Parker-Harding model. Required information was collected using keywords autonomization, corporatization, privatization, decentralization, reform, hospital autonomy, governance model, and structural reform in databases such as EMBASE, PubMed, Scopus, SID, MagIran, and other resources. Information on the subjects under study was collected from 1990 to 2020. The content extraction method was used for data extraction and data analysis. Thirty-nine sources were included in the study. Results of searching for relevant evidence on a variety of hospital governance models (government, board, corporate, and private) based on the Parker-Harding model in four categories including strengths (31), weaknesses (30), outcomes (26), and interventions (21) are outlined. In this study, strengths, weaknesses, outcomes, and corrective interventions were presented for different models of hospital administration that could be used by healthcare policymakers. Also, According to the results of this study, governmental model less recommended.