Shiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Developing a Minimum Data Set for Orthodontic Information Management: A Review of Evidences184852810.30476/jhmi.2022.94731.1121ENAzadehBashiriDepartment of Health Information Management, School of Health Management and Information Sciences, Health Human
Resources Research Center, Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-9446-8453AhmadrezaSardarianDepartment of Orthodontics, School of Dentistry, Orthodontic Research Center, Shiraz University of Medical Sciences,
Shiraz, Iran0000-0002-5689-9495FatemehNiknamPhD candidate, Department of Health Information Management,Student Research Committee, Health Human Resources
Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0002-9062-6837FatemehYazdanpanahiMsc student in Health Information Technology, Student Research Committee, School of Paramedicine, Hormozgan
University of Medical Sciences, Bandar Abass, Iran0000-0003-2387-8417Journal Article20220222<strong>Background:</strong> One of the problems in the oral health is lack of coordination and misalignment<br />of teeth, so orthodontic treatments were performed to treat this issue. This treatment is time<br />consuming and the need to document the processes is strongly felt. Dental information<br />management can improve the quality of dental care and reduce the costs by preventing reprocedures.<br />To manage the orthodontics information, the present study aimed to review a<br />minimum orthodontics data set.<br /><strong>Methods</strong>: This review study was performed using the guidelines and related articles<br />conducted from 2001 to September 2021 through scientific databases and search engine<br />(PubMed, ProQuest, Wiley, Google Scholar, Scopus and Science Direct) using keywords<br />including (minimum data set, health information management, dental records, orthodontics,<br />orthodontic records, malocclusion, and maxillofacial malformations).<br /><strong>Results</strong>: According to studies, demographic data, general evaluation, extra and intra oral<br />examination, functional examination, temporomandibular joint condition, cephalometric<br />data, cast analysis, evaluation data and treatment plan, progress note, unit summary, dental<br />history, and type of orthodontic treatment have suggested as minimum orthodontics dataset.<br /><strong>Conclusion</strong>: Developing minimum dataset as a standard approach for better understanding<br />and comparing the data is necessary in the health information management. The present<br />study proposes a minimum data set for implementation of orthodontic information system<br />in Iran. This system will play an important role in improving the oral health indicators of the<br />community and provide access to an electronic health record.<br /> https://jhmi.sums.ac.ir/article_48528_bbe9f577689a17689b9ba5aaa683cfd4.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Impact of COVID-19 Lockdown on the Economy of a Low-Resource Setting9154853010.30476/jhmi.2022.93999.1111ENOlaniyi FelixSanniPublic Health Department, Triune Biblical University Global Extension, NY, USA0000-0001-7761-3604Olaiya PaulAbiodunEpidemiology Department, World Health Organization, Accra, Ghana0000-0001-6340-6444Ali JohnsonOnojaResearch Department, African Health Project, Abuja, Nigeria0000-0002-6764-5685Elizabeth AbikeSanniAdministrative Department, Destiny Assurance Schools, Ota, Ogun State, Nigeria000-0002-3572-6640Freddy RukemaKanikiPostgraduate Residency Program, American Society of Hospital Pharmacists, USA0000-0003-0651-9180Journal Article20211216<strong>Introduction:</strong> The lockdown policy imposed in response to the COVID-19 pandemic has<br />restricted various businesses, including trading, inter-state travel for purchasing/selling and<br />supplying goods and services, hospitality industries, and state revenue generation. The study<br />assessed the impacts of COVID-19 lockdown on the economy of a Nigerian low-resource<br />community.<br /><strong>Methods:</strong> This study was a descriptive cross-sectional survey conducted in Ado-Odo Ota<br />local government area (LGA) of Ogun State, Nigeria, using a structured questionnaire to<br />collect data on the economic impacts of COVID-19 lockdown on383 participants aged 20 to<br />60 years in January and February. Data analysis was done using IBM-SPSS version 25.<br /><strong>Results:</strong> During the lockdown, 26.1% of the respondents lost their jobs, 34.5% experienced<br />salary cuts, and only 6.5% got regular salaries. More than half (53.8%) of participants could not<br />meet their basic needs. All respondents (100.0%) stated that food prices and other necessities<br />were higher during the lockdown than before. The odds of losing jobs were 18.74 [95%CI:<br />6.20–56.60; P<0.001] and 4.32 [95%CI: 1.50–12.43; P<0.001] times higher among the staff of<br />private organizations and those doing personal businesses than among government workers.<br />The rate of clients/customers loss was 15.21 [95%CI: 7.59–30.51; P<0.001) and 7.07 [95%CI:<br />3.26–15.34; P<0.001] higher among self-employed and private companies than government<br />establishments.<br /><strong>Conclusion:</strong> Every worker should enjoy job security to mitigate the job and income loss<br />during a crisis. Loans and grants should be available for small businesses, particularly to<br />overcome the problem. Food security should be provided by subsidizing goods and providing<br />supports to help meet the daily needs of housholdsduring emergencies.<br /><br />https://jhmi.sums.ac.ir/article_48530_1e227282ecc025805d46a78e0d09ac21.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Google Trend as an Early Warning System for Corona Outbreak Investigation in Iran16214852610.30476/jhmi.2022.94812.1122ENSajadNozariAssistant professor, Department of Epidemiology and Biostatistics, School of Public Health, Shahrekord University of
Medical Sciences, Shahrekord, Iran0000-0003-1985-5378LilaDehghaniDepartment of Public Health Behbahan Faculty of Medical Sciences, Behbahan, IranRaziehChabokStudent Research Committee, School of Nursing and Midwifery, Sabzevar University of Medical Sciences, Sabzevar, IranBehroozMoloudpourStudent Research Committee, School of Management and Medical Informatics, Tabriz University of Medical Sciences,
Tabriz, IranZaharMoradi VasteganiAlimentary Tract Research Center, Imam Khomeini Hospital Clinical Research Development Unit, Jundishapur University
of Medical Sciences, Ahvaz, Iran0000-0002-5110-2133SomayehMoalemiSchool of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, IranMasoumeh SadatMousaviAssistant professor, Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran
-Assistant professor, Department of Epidemiology and Biostatistics, School of Public Health, Shahrekord University of
Medical Sciences, Shahrekord, Iran0000-0002-8394-7325Journal Article20220227<strong>Introduction: </strong>Digital epidemiology is introduced as a major aspect of epidemiology; its<br />sources are digital data and it uses spaces such as Google, YouTube and Twitter as databases.<br />In the recent Covid-19 pandemic, the use of digital epidemiology, as an early warning system,<br />has been considered. This study aimed to investigate the context of Google Trend as an early<br />warning system in the study of coronavirus outbreaks in Iran.<br /><strong>Methods:</strong> The coronavirus epidemic in Iran started on February 24, 2020, and with some<br />differences to consider the rumors in the community, we consider the date before the<br />announcement of all by February 16, 2020 until November 16, 2021. We searched using<br />keywords related to symptoms such as “fever”, “cough” and “sore throat” and the keyword<br />“corona symptoms”; information was extracted and entered in Microsoft Excel and the<br />keyword chart was drawn according to the date of each wave. Spearman correlation test was<br />performed to find the correlation between keywords in SPSS version 18.<br /><strong>Results:</strong> The trend chart of the keywords “fever”, “cough” and “sore throat” and the keyword<br />“corona symptoms” in different waves of coronavirus in Iran showed an increase in keyword<br />searches before the onset of the corona epidemic wave. Spearman correlation coefficient<br />between sore throat and fever was 0.645, sore throat and cough 0.775, sore throat and corona<br />symptoms 0.684, between fever and cough keywords 0.435, fever and corona symptoms 0.779<br />and between keyword cough and corona symptoms 0.503. In all these coefficients, the level of<br />error of the first type was 0.05 significant (P<0.001)<br /><strong>Conclusion:</strong> Google Trend, a digital epidemiology tool, can be used as an effective early<br />warning system to control the corona pandemic, and this field of epidemiological knowledge<br />with all its limitations needs further research.<br /><br />https://jhmi.sums.ac.ir/article_48526_fbce5b58a5a55e935d8f85bfdefee705.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Development and Evaluation of Electronic Medical Record Admission Module in Intensive Care Unit: A Case Study in Iran22314853110.30476/jhmi.2022.95017.1125ENHajarMardaniMSc in Health Information Technology, Student Research Committee, School of Health Management and Information
Sciences, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0002-4974-8170AzadehBashiriDepartment of Health Information Management, School of Health Management and Information Sciences, Health Human
Resources Research Center, Clinical Education Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-9446-8453GolnarSabetianTrauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-8764-2150NasrinShokrpourDepartment of English, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-7782-4313FaridZandAnesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0003-3489-3372MansoorMasjediTrauma Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-6175-9289RoxanaSharifianDepartment of Health Information Management, School of Health Management and Information Sciences, Health Human
Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0002-6593-8302Journal Article20220318<strong>Introduction:</strong> Electronic medical record leads to effective information management. One of<br />the most important sections of electronic medical records is the patient admission module.<br />The aim of this study was to develop and evaluate the patient admission module in Intensive<br />Care Unit.<br /><strong>Methods:</strong> This developmental-applied study was conducted in 2021 in 3 steps: 1. Determining<br />the requirements, 2. Designing, developing, and implementing, and 3. Evaluating usability.<br />In the first step, we did the literature review and asked for the expert panel’s opinion; in the<br />second step, we used word, and Reactjs, Expressjs programming language, and Mongodb<br />database and Windows server; in the third step, the USE standard questionnaire was used.<br /><strong>Results:</strong> Module requirements were classified into two categories: functional and nonfunctional<br />requirements. Functional requirements address software quality features, and nonfunctional<br />requirements include general requirements, demographic information, and clinical<br />information. Demographic information was classified into two main categories: patient’s<br />demographic information and documented physician information. Clinical information (287<br />data elements) in 13 main categories included the past history, vital signs, nervous system,<br />respiratory system, cardiovascular system, genitourinary system, gastrointestinal system,<br />hematology, integumentary system, infectious, antimicrobial drugs, problem list, and plan.<br />Also, the results of usability evaluation showed that 87% of the physicians agreed with the<br />use of this module.<br /><strong>Conclusion:</strong> Given the trend towards e-health in Iran, the use of electronic medical record<br />admission module in intensive care units can have a significant impact on the complete<br />collection of admission data.<br /><br />https://jhmi.sums.ac.ir/article_48531_e8f972ad4cf89ac9dc7bd87abf7ac1ee.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101A Study of the Health-related Quality of Life in Injured Patients Three Years after ICU Hospitalization32374852710.30476/jhmi.2022.94267.1113ENGolnarSabetianTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-8764-2150MehrdadKarajizadehTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran0000-0002-9297-3488ValeRezaeeTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranNajmehNaderiTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranSeyed Hesamadin MehdiTabeiTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.FatemehAbbaspourTrauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranJournal Article20220109<strong>Introduction</strong>: Health-related quality of life (HRQOL) considerably decreases after injured.<br />This study aimed to assess and compare the quality of life during a three years’ period after<br />injury and hospital stay among the injured patients admitted in an Intensive Care Unit (ICU)<br />for 24 hours at least with non-ICU injured patients as the control group.<br /><strong>Methods</strong>: In this cross-sectional study, 204 injured patients treated by the injured team of<br />Shahid Rajaee Injured Center of Shiraz, Iran, were evaluated from January 2019 to December<br />2020. HRQOL was measured using the Medical Outcomes Study Short Form 36 (SF-36).<br />Patients were called and asked to answer the SF-36 questionnaire according to the current<br />condition. SPSS was used to analyze the data.<br /><strong>Results</strong>: The mean age of the ICU and non-ICU patients was 34.34 and 37.68 years,<br />respectively. The majority of patients in both ICU and non-ICU groups were male (83.5%,<br />88.1%) and under 60 years of age (91.3%, 92.1%). The injury severity score (ISS) was marked<br />as critical in 66.99% of ICU patients. The mean SF-36 scores in ICU patients were lower<br />than the similar indices in non-ICU patients in all dimensions (P<0.001) Except for social<br />functioning, a non-significant difference was observed between the ICU and non-ICU<br />patients for only two subscales.<br /><strong>Conclusion: </strong>Health-related quality of life among the patients with sustained severe injuries<br />who were admitted to ICU decreased considerably after three years follow up. Given that<br />certain factors can help identify patients in need of sufficient pain management, adequate<br />information can help injury specialist teams for follow-ups.<br /><br />https://jhmi.sums.ac.ir/article_48527_2b7904b7878d3e8f79492e27f4e77584.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Life Expectancy Forecast: Implications for Policy and Economy in Iran38444852910.30476/jhmi.2022.93931.1110ENFatemehYariDepartment of Economic Development and Planning, Tarbiat Modares University, Tehran, Iran0000-0001-9429-3497LotfaliAgheliEconomic Research Institute, Tarbiat Modares University, Tehran, Iran0000-0003-1043-346XHosseinSadeghiDepartment of Economic Development and Planning, Tarbiat Modares University, Tehran, Iran0000-0002-0719-5539SajjadFaraji DizajiDepartment of Economic Development and Planning, Tarbiat Modares University, Tehran, Iran0000-0001-8413-4580Journal Article20211213<br /><strong>Introduction</strong>: Forecasting health status of populations aims to explain the most likely future<br />trends in health, such as the life expectancy trend. Life expectancy has grown notably during<br />the past 150 years. Extended survival leads to population aging that is a world-changing<br />event. Planning and investing in health and social services require anticipating future life<br />expectancy and the corresponding drivers. As a developing country, Iran has experienced an<br />improvement in health and longevity. This study aims to model and forecast life expectancy at<br />birth up to 2035 and review the economic and policy implications of aging in Iran.<br /><strong>Methods</strong>: This study presents a dynamic simulation modeling of life expectancy and proposes<br />a system dynamics model to give decision-makers an understanding of the interactions<br />between different variables. The equations in the model are estimated using least-squares<br />algorithms. The data are derived from the websites of “World Bank”, “Our World in Data”, and<br />“United Nations Development Program.”<br /><strong>Results</strong>: The computerized simulation results forecast that total life expectancy increases by<br />about 4.5 years from 2018 to 2035, reaching 81.06.<br /><strong>Conclusion</strong>: Although improvement in life expectancy is a success and a key goal of a health<br />system, it also suggests a rapid pace of aging in Iran with many social and economic challenges<br />in managing the upcoming situations. However, executing appropriate policies can convert<br />such threats into opportunities.<br /><br />https://jhmi.sums.ac.ir/article_48529_ea5a0a91e680f183910d6bbd0b2b0ed2.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Assessment of the Readiness of the Hospitals Affiliated to Shiraz University of Medical Sciences for Implementation of Electronic Health Record Based on the California Academy of Family Physicians Tool: A case study in Iran45524853210.30476/jhmi.2022.94368.1117ENHajarMardaniMSc in Health Information Technology, Student Research Committee, School of Health Management and Information
Sciences, Health Human Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0002-4974-8170SaeedJelvayDepartment of Health Information Technology, Abadan Faculty of Medical Science, Abadan, IranNasrinShokrpourDepartment of English, Shiraz University of Medical Sciences, Shiraz, Iran0000-0001-7782-4313RoxanaSharifianDepartment of Health Information Management, School of Health Management and Information Sciences, Health Human
Resources Research Center, Shiraz University of Medical Sciences, Shiraz, Iran0000-0002-6593-8302Journal Article20220117<strong>Introduction:</strong> A correct understanding of the level of readiness is the key to success in<br />implementing an electronic health record. The aim of this study was to assess the readiness of<br />the hospitals affiliated to Shiraz University of Medical Sciences for implementing electronic<br />health records based on the tools of the California Academy of Family Physicians tool.<br /><strong>Methods: </strong>This descriptive-applied study was performed in 2021 in six hospitals of Shiraz<br />University of Medical Sciences equipped with hospital information system in Iran. Data were<br />collected through interviews with managers, information technology experts, and hospital<br />information system experts through checklists in 5 areas of management, finance and budget,<br />operational, technology, and organizational alignment.<br /><strong>Results:</strong> The results showed that in the assessment of general readiness, Nemazi hospital with<br />38% and Amir hospital with 37% readiness were more suitable and moderately prepared<br />than other hospitals in moving towards the implementation of electronic health records, and<br />the rest of the hospitals did not have the necessary readiness. In management, finance and<br />budget, and operational capacity, most hospitals were in a weak position between 10% -30%<br />and were not ready at all.<br /><strong>Conclusion:</strong> According to the results, it is recommended that measures such as leadership<br />measures, participation and support of managers, recruitment of information technology<br />specialists, budget allocation, justification of return investment, continuing education<br />programs, user participation, and process support should be taken to increase the mentioned<br />capabilities and readiness of hospitals in the implementation of electronic health records.<br /><br />https://jhmi.sums.ac.ir/article_48532_508e41df3232f501ee7557e6440fa762.pdfShiraz University of Medical SciencesHealth Management & Information Science2783-302X9120220101Leave of Absence during the COVID-19 Pandemic: Drivers and Policies53544853310.30476/jhmi.2022.95062.1126ENZahraSadeqi-AraniDepartment of Management and Entrepreneurship, Humanities Faculty, University of Kashan, Kashan, Iran0000-0002-6750-9800Journal Article20220327The worker shortage is a critical and multifaceted challenge in the health systems (1, 2). Nevertheless, after the outbreak of the COVID-19 pandemic in 2019, the demand for healthcare workers in the hospital and healthcare sector has become more intense; the worker shortage has reached a warning threshold (3). The imbalance between supply and demand workers in health systems, on the one hand, and the increasing requests for leave of absences, a behavioral response to COVID-19, on the other hand, have exacerbated the crisis. Evidence shows that the demand for leave has increased among healthcare workers (4). Since the COVID-19 pandemic, in addition to the usual reasons for requesting leave, some risks have exacerbated this behavior; these risks include fear of contracting infectious diseases and transmission of the virus to their family and friends, risk of increase in the patient violence (5), risk of experiencing guilt following the death of a patient (6), and risk of excessive work demand. While such leaves lead to a break in the chain of COVID-19, as a hidden aspect of absenteeism, they can result in individual and organizational costs such as productivity losses, turnover, presenteeism, economic cost of providing paid sick leave, and reduction of the quality of health services. Increasing demand for leave has intensified the nursing shortage in healthcare and that creates an undesirable and stressful workplace environment (7).<br />Leave of absence, as a right for workers, is recognized in most countries, not only when the economy is open, but also during a lockdown (8). Despite the conflict between the need to reduce the spread of the COVID-19 and the need for human contact, especially in healthcare and hospitality sector, it is necessary to identify these factors; there<br />are key policies that can benefit both. Regardless of the type of leave (paid/unpaid) and the reasons it (a worker’s physical or mental health problems, etc.), it is complex and explained by individual, occupational and organizational factors (3, 4, 9-13). The main aim of this letter to editor is to introduce the most important drivers of leave of absence and suggest critical policies to manage them. For this purpose, the research literature was reviewed. Table 1 shows the factors affecting the number of workers’ leave and policies to manage them.https://jhmi.sums.ac.ir/article_48533_44d89584844fc0b7a488938f14cb4eba.pdf