Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Policies to promote maternal health literacy based on the role of health sector actors Policies to promote maternal health literacy based on the role of health sector actors 33544 10.48305/him.2026.46541.1418 FA Zahra Karimzadeh مرکز تحقیقات علوم باروری و سلامت جنسی، دانشکده پرستاری و مامایی، دانشگاه علوم پزشکی اصفهان، اصفهان، ایران Fatemeh Mohammadi گروه مامایی و بهداشت باروری، دانشکده پرستاری و مامایی، دانشگاه علوم پزشکی اصفهان، اصفهان، ایران 0000-0001-8239-4928 Marjan Beigi گروه مامایی و بهداشت باروری، مرکز تحقیقات علوم باروری و سلامت جنسی، دانشگاه علوم پزشکی اصفهان، اصفهان، ایران 0009-0001-4662-1211 Journal Article 2026 07 05 In the field of maternal health, the level of health literacy can also affect the receipt of prenatal care, the recognition of risk symptoms, and the follow-up of care recommendations; however, promoting health literacy is not limited to empowering mothers, and the role of health system actors in transmitting and interpreting health information is also important in this process. This policy brief was developed based on the results of a cross-sectional study conducted at Isfahan University of Medical Sciences. The findings showed that the views of health actors in the fields of education, health, and treatment differed regarding the relationship between maternal health literacy and health indicators; with the education field receiving the highest score and the treatment field receiving the lowest score. Given the differences in perspectives, policy options were proposed based on expert participation to harmonize the understanding and role of health system actors. The options included “establishing inter-sectoral coordination in the field of maternal health literacy between health education and treatment domains; developing a common conceptual and implementation guideline for maternal health literacy at health education and treatment levels; establishing a feedback system between health education and treatment domains on experiences related to education and communication with mothers; defining indicators related to maternal health literacy in monitoring the performance of health education and treatment units; and holding joint case study meetings between actors from the three domains on maternal and perinatal complications.” In the field of maternal health, the level of health literacy can also affect the receipt of prenatal care, the recognition of risk symptoms, and the follow-up of care recommendations; however, promoting health literacy is not limited to empowering mothers, and the role of health system actors in transmitting and interpreting health information is also important in this process. This policy brief was developed based on the results of a cross-sectional study conducted at Isfahan University of Medical Sciences. The findings showed that the views of health actors in the fields of education, health, and treatment differed regarding the relationship between maternal health literacy and health indicators; with the education field receiving the highest score and the treatment field receiving the lowest score. Given the differences in perspectives, policy options were proposed based on expert participation to harmonize the understanding and role of health system actors. The options included “establishing inter-sectoral coordination in the field of maternal health literacy between health education and treatment domains; developing a common conceptual and implementation guideline for maternal health literacy at health education and treatment levels; establishing a feedback system between health education and treatment domains on experiences related to education and communication with mothers; defining indicators related to maternal health literacy in monitoring the performance of health education and treatment units; and holding joint case study meetings between actors from the three domains on maternal and perinatal complications.”

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 The Role of the Treating Physician in Profit or Loss of Global-Payment Cases in Two Public Hospitals in Isfahan, Iran The Role of the Treating Physician in Profit or Loss of Global-Payment Cases in Two Public Hospitals in Isfahan, Iran 33569 10.48305/him.2026.46387.1407 FA Mohammadreza Etemadian Independent Researcher, General Practitioner, Tehran, Iran 0009-0001-0449-8040 Maryam Jahanbakhsh Associate Professor, Health Information Management, Department of Health Information Technology, Health in Healthcare Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran 0000-0003-0876-5422 Journal Article 2026 06 09 Introduction: Iran's global payment system, an incomplete adaptation of the diagnosis-related group (DRG) model, sets a fixed tariff for common surgeries without severity classes, and evidence on its financial consequences is inconsistent. We aimed to determine the role of the treating physician in the profit or loss of global-payment cases in two public hospitals in Isfahan, Iran (2021-2022). Methods: This retrospective cross-sectional study analyzed 6,484 global-payment bills. Profit or loss per case was the tariff minus the actual cost, analyzed with one-way ANOVA, case-level multivariable regression adjusting for procedure code, month, hospital and specialty. Results: Overall, 59.6% of cases were profitable and 40.3% incurred a loss. Mean physician profit ranged from -2.8 to 20.9 million Rials even within one procedure (cholecystectomy). In the multivariable model, between-physician differences remained significant (p<0.001; partial eta squared 0.06) and accounted for the largest share of variation after the procedure itself. They persisted within 18 of 29 codes, and the 11 non-significant codes were mostly low-volume, whereas the crude between-hospital difference disappeared after adjustment for procedure mix (p=0.87). Conclusion: After adjustment for procedure code, hospital, month and specialty, physicians differed significantly in case-level profit or loss. This association may reflect physician practice or the physician's case mix; the available data cannot separate the two. It is therefore suggested that, before the global system is extended, diagnosis and patient characteristics be incorporated into it, as in DRG, so that one of these two sources can be controlled. Keywords: Prospective Payment System; Global Payment; Economics, Hospital; Physicians; Diagnosis-Related Groups Introduction: Iran's global payment system, an incomplete adaptation of the diagnosis-related group (DRG) model, sets a fixed tariff for common surgeries without severity classes, and evidence on its financial consequences is inconsistent. We aimed to determine the role of the treating physician in the profit or loss of global-payment cases in two public hospitals in Isfahan, Iran (2021-2022). Methods: This retrospective cross-sectional study analyzed 6,484 global-payment bills. Profit or loss per case was the tariff minus the actual cost, analyzed with one-way ANOVA, case-level multivariable regression adjusting for procedure code, month, hospital and specialty. Results: Overall, 59.6% of cases were profitable and 40.3% incurred a loss. Mean physician profit ranged from -2.8 to 20.9 million Rials even within one procedure (cholecystectomy). In the multivariable model, between-physician differences remained significant (p<0.001; partial eta squared 0.06) and accounted for the largest share of variation after the procedure itself. They persisted within 18 of 29 codes, and the 11 non-significant codes were mostly low-volume, whereas the crude between-hospital difference disappeared after adjustment for procedure mix (p=0.87). Conclusion: After adjustment for procedure code, hospital, month and specialty, physicians differed significantly in case-level profit or loss. This association may reflect physician practice or the physician's case mix; the available data cannot separate the two. It is therefore suggested that, before the global system is extended, diagnosis and patient characteristics be incorporated into it, as in DRG, so that one of these two sources can be controlled. Keywords: Prospective Payment System; Global Payment; Economics, Hospital; Physicians; Diagnosis-Related Groups

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Implications of Uncertainty in Hospital Information System Data for Performance Evaluation: A Robust Data Envelopment Analysis Approach Implications of Uncertainty in Hospital Information System Data for Performance Evaluation: A Robust Data Envelopment Analysis Approach 33580 10.48305/him.2026.46131.1388 FA Hoda Moradi Department of Management, Meybod University, Meybod, Iran 0000-0002-2505-051X Hamid Babaei Meybodi Department of Management,, Meybod University, Meybod, Iran 0000-0002-3063-4501 Journal Article 2026 02 03 Background: Hospital efficiency evaluation relies heavily on data obtained from Health Information Systems. Along with deterministic data, these systems contain indicators that may be affected by measurement limitations, data recording quality, and information fluctuations, resulting in different levels of uncertainty. However, existing approaches do not explicitly consider the coexistence of deterministic and uncertain data. Methods: Considering the nature of data generated during hospital information management processes and differences in the reliability of indicators, a generalized robust DEA framework was developed to simultaneously model deterministic and uncertain data. Three robust models were developed to incorporate uncertainty in inputs, outputs, and both inputs and outputs. The performance of the proposed models was evaluated through a hospital case study. Results: The results showed that uncertainty in HIS data can lead to instability in efficiency values and reduce the reliability of performance evaluation results. Compared with the conventional DEA model, the proposed models provided more stable efficiency scores, more consistent rankings, and reduced the occurrence of unrealistic efficiency values. Conclusion: By distinguishing between deterministic and uncertain data, the proposed framework provides a more realistic and reliable evaluation of hospital performance within Health Information Systems. Key Message: Applying this framework in Health Information Systems can reduce the effects of data uncertainty on performance evaluation and support managerial decision-making, particularly in resource allocation and hospital performance improvement. Background: Hospital efficiency evaluation relies heavily on data obtained from Health Information Systems. Along with deterministic data, these systems contain indicators that may be affected by measurement limitations, data recording quality, and information fluctuations, resulting in different levels of uncertainty. However, existing approaches do not explicitly consider the coexistence of deterministic and uncertain data. Methods: Considering the nature of data generated during hospital information management processes and differences in the reliability of indicators, a generalized robust DEA framework was developed to simultaneously model deterministic and uncertain data. Three robust models were developed to incorporate uncertainty in inputs, outputs, and both inputs and outputs. The performance of the proposed models was evaluated through a hospital case study. Results: The results showed that uncertainty in HIS data can lead to instability in efficiency values and reduce the reliability of performance evaluation results. Compared with the conventional DEA model, the proposed models provided more stable efficiency scores, more consistent rankings, and reduced the occurrence of unrealistic efficiency values. Conclusion: By distinguishing between deterministic and uncertain data, the proposed framework provides a more realistic and reliable evaluation of hospital performance within Health Information Systems. Key Message: Applying this framework in Health Information Systems can reduce the effects of data uncertainty on performance evaluation and support managerial decision-making, particularly in resource allocation and hospital performance improvement.

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Designing a Model for the Effective Evaluation of Self-Governance Policy Implementation in Hospitals of Isfahan University of Medical Sciences Designing a Model for the Effective Evaluation of Self-Governance Policy Implementation in Hospitals of Isfahan University of Medical Sciences 33537 10.48305/him.2026.46637.1424 FA Shahrzad Rezaei Department of Management, Isf.C.Islamic Azad University, Isfahan, Iran 0009-0009-4021-5421 Akbar Etebarian Full Professor, Department of Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran (Corresponding Author) 0000-0003-0701-984X Mohammadreza Rezayatmand Associate Professor of Health Economics Department of Health Services Management, School of Management and Medical Information Sciences Health Management and Economics Research Center Isfahan University of Medical Sciences 0000-0002-9907-3597 Journal Article 2026 07 26 Introduction: Hospital autonomy is one of the most significant structural reforms in Iran's health system, designed to reduce reliance on public budgets, enhance managerial independence, and improve service quality. Despite years of implementation, its effectiveness has been heterogeneous, and a comprehensive framework covering structural, processual, human, and contextual dimensions simultaneously has not yet been proposed. This study aimed to design a comprehensive framework for evaluating the effectiveness of the hospital autonomy policy in hospitals affiliated with Isfahan University of Medical Sciences, with a special emphasis on the role of health information infrastructures. Methods: This qualitative study employed Attride-Stirling's thematic network analysis. Fourteen managers and experts with substantial experience in hospital autonomy were purposively selected using a maximum variation approach. Data were collected through semi-structured interviews and analyzed using MAXQDA 2020 software. Trustworthiness was established through member checking and peer review. Results: From 234 initial codes, 101 basic themes, 28 organizing themes, and five global themes emerged: 1) Clinical Governance and Institutional Agility, 2) Financial Intelligence and Economic Resilience, 3) Human Capital and Organizational Motivation, 4) Customer Orientation and Service Excellence, and 5) Technology and Information-Driven Decision Making. The resulting thematic network, besides confirming significant interrelationships among these five dimensions, demonstrates meaningful theoretical alignment with Stufflebeam's CIPP framework. Conclusion: Grounded in five core dimensions and aligned with the CIPP theoretical framework, the proposed conceptual framework can serve as a comprehensive framework for evaluating hospital autonomy effectiveness. Beyond its theoretical contributions, this framework aids policymakers in more effective policy formulation and implementation while paving the way for developing quantitative instruments and empirical validation in future research. Introduction: Hospital autonomy is one of the most significant structural reforms in Iran's health system, designed to reduce reliance on public budgets, enhance managerial independence, and improve service quality. Despite years of implementation, its effectiveness has been heterogeneous, and a comprehensive framework covering structural, processual, human, and contextual dimensions simultaneously has not yet been proposed. This study aimed to design a comprehensive framework for evaluating the effectiveness of the hospital autonomy policy in hospitals affiliated with Isfahan University of Medical Sciences, with a special emphasis on the role of health information infrastructures. Methods: This qualitative study employed Attride-Stirling's thematic network analysis. Fourteen managers and experts with substantial experience in hospital autonomy were purposively selected using a maximum variation approach. Data were collected through semi-structured interviews and analyzed using MAXQDA 2020 software. Trustworthiness was established through member checking and peer review. Results: From 234 initial codes, 101 basic themes, 28 organizing themes, and five global themes emerged: 1) Clinical Governance and Institutional Agility, 2) Financial Intelligence and Economic Resilience, 3) Human Capital and Organizational Motivation, 4) Customer Orientation and Service Excellence, and 5) Technology and Information-Driven Decision Making. The resulting thematic network, besides confirming significant interrelationships among these five dimensions, demonstrates meaningful theoretical alignment with Stufflebeam's CIPP framework. Conclusion: Grounded in five core dimensions and aligned with the CIPP theoretical framework, the proposed conceptual framework can serve as a comprehensive framework for evaluating hospital autonomy effectiveness. Beyond its theoretical contributions, this framework aids policymakers in more effective policy formulation and implementation while paving the way for developing quantitative instruments and empirical validation in future research.

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Analysis of Drivers of Sustainable Open Innovation in Hospitals Using the Integrated ISM–DEMATEL Approach Analysis of Drivers of Sustainable Open Innovation in Hospitals Using the Integrated ISM–DEMATEL Approach 33568 10.48305/him.2026.46048.1379 FA Salim Karimi Takalo faculty member 0000-0002-4833-4873 Atiyeh Karamoziyan student Journal Article 2025 12 27 Introduction: Hospitals, as vital institutions within healthcare systems, face challenges such as increasing service demand, limited human and financial resources, rapid technological advancement, and the requirements of sustainable development. In this context, sustainable open innovation, emphasizing collaboration, knowledge exchange, and sustainability principles, has emerged as an effective approach to addressing these challenges. Identifying and analyzing its key drivers is critical for improving hospital performance and sustainability. Method: This study employed a combined ISM–DEMATEL approach. Data were collected through expert opinions in the healthcare sector and complemented by a systematic review of relevant literature. DEMATEL was used to identify causal relationships among the drivers, while ISM was applied to structure and level them based on influence and dependence. Findings: The DEMATEL results indicated that managerial commitment, organizational learning culture, stakeholder engagement, and information technology infrastructure are the most influential drivers of sustainable open innovation in hospitals. The ISM analysis further revealed that inter-organizational interactions, staff training, and policy support at the macro level play foundational roles in achieving sustainable open innovation. Conclusion: Achieving sustainable open innovation in hospitals requires focused attention on key drivers and the strengthening of structural relationships among organizational and extra-organizational factors. Managerial leadership, organizational learning, and supportive policymaking are critical determinants in this process. Introduction: Hospitals, as vital institutions within healthcare systems, face challenges such as increasing service demand, limited human and financial resources, rapid technological advancement, and the requirements of sustainable development. In this context, sustainable open innovation, emphasizing collaboration, knowledge exchange, and sustainability principles, has emerged as an effective approach to addressing these challenges. Identifying and analyzing its key drivers is critical for improving hospital performance and sustainability. Method: This study employed a combined ISM–DEMATEL approach. Data were collected through expert opinions in the healthcare sector and complemented by a systematic review of relevant literature. DEMATEL was used to identify causal relationships among the drivers, while ISM was applied to structure and level them based on influence and dependence. Findings: The DEMATEL results indicated that managerial commitment, organizational learning culture, stakeholder engagement, and information technology infrastructure are the most influential drivers of sustainable open innovation in hospitals. The ISM analysis further revealed that inter-organizational interactions, staff training, and policy support at the macro level play foundational roles in achieving sustainable open innovation. Conclusion: Achieving sustainable open innovation in hospitals requires focused attention on key drivers and the strengthening of structural relationships among organizational and extra-organizational factors. Managerial leadership, organizational learning, and supportive policymaking are critical determinants in this process.

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Optimizing Elective Surgery Scheduling Based on Forecasted Intensive Care Unit Bed Occupancy-Case Study: A Teaching-Medical Hospital in Isfahan Optimizing Elective Surgery Scheduling Based on Forecasted Intensive Care Unit Bed Occupancy-Case Study: A Teaching-Medical Hospital in Isfahan 33576 10.48305/him.2026.46916.1447 FA Malihe Akbari Department of Management, University of Isfahan Saeedeh Ketabi Professor , Departmnt of Management, University of Isfahan, Iran 0000-0002-6778-5645 Mahsa Ghandehari Department of Management, UNiversity of Isfahan Saeed Abbasi Anesthesiology and Critical Care Research Center, Isfahan University of Medical Sciences Journal Article 2026 09 06 Introduction: The operating room is one of the major centers of cost and revenue in hospitals, and its effective management can improve hospital performance and facilitate the timely delivery of healthcare services. In many hospitals, the intensive care unit(ICU) acts as a bottleneck, and its limited capacity may result in delays in or cancellation of elective surgeries. Methods: This study proposes an optimization framework based on ICU-capacity forecasting for scheduling elective surgeries. To determine surgeons’ surgery-days with the aim of balancing ICU-bed-occupancy by elective surgical-patients across weekdays, the number of ICU-beds occupied by emergency-patients on different days of the week is forecasted, and the remaining capacity for elective surgical-patients is determined accordingly. This descriptive and analytical study was conducted using real hospital data from a Hospital in Isfahan, comprising 12,836 ICU-records and 12,989 elective-surgery-records collected from 2019 to 2022. Subsequently, a linear-goal-programming(LGP) model was developed to determine surgeons’ surgery-days and allocate their required ICU-capacity. Results: The results showed that, during the periods examined, the schedule generated by the model reduced the peak ICU occupancy by elective surgical-patients by 5.5% to 20%. Sensitivity analysis also showed that forecasting errors in the number of ICU-beds occupied by emergency-patients affected ICU capacity allocation and the extent of changes in the surgical schedule. Conclusion: The proposed framework, by forecasting the capacity occupied by emergency-patients in the ICU, can contribute to a more balanced distribution of ICU occupancy by elective surgical-patients across surgery days while maintaining the constraints associated with high-priority surgeons. Key Message: With a reliable forecast of available ICU capacity, the proposed mathematical model can serve as an effective decision-support tool for scheduling surgeons’ surgery-days and planning their required ICU capacity, thereby balancing ICU-bed occupancy by elective surgical-patients across the days of the week. Introduction: The operating room is one of the major centers of cost and revenue in hospitals, and its effective management can improve hospital performance and facilitate the timely delivery of healthcare services. In many hospitals, the intensive care unit(ICU) acts as a bottleneck, and its limited capacity may result in delays in or cancellation of elective surgeries. Methods: This study proposes an optimization framework based on ICU-capacity forecasting for scheduling elective surgeries. To determine surgeons’ surgery-days with the aim of balancing ICU-bed-occupancy by elective surgical-patients across weekdays, the number of ICU-beds occupied by emergency-patients on different days of the week is forecasted, and the remaining capacity for elective surgical-patients is determined accordingly. This descriptive and analytical study was conducted using real hospital data from a Hospital in Isfahan, comprising 12,836 ICU-records and 12,989 elective-surgery-records collected from 2019 to 2022. Subsequently, a linear-goal-programming(LGP) model was developed to determine surgeons’ surgery-days and allocate their required ICU-capacity. Results: The results showed that, during the periods examined, the schedule generated by the model reduced the peak ICU occupancy by elective surgical-patients by 5.5% to 20%. Sensitivity analysis also showed that forecasting errors in the number of ICU-beds occupied by emergency-patients affected ICU capacity allocation and the extent of changes in the surgical schedule. Conclusion: The proposed framework, by forecasting the capacity occupied by emergency-patients in the ICU, can contribute to a more balanced distribution of ICU occupancy by elective surgical-patients across surgery days while maintaining the constraints associated with high-priority surgeons. Key Message: With a reliable forecast of available ICU capacity, the proposed mathematical model can serve as an effective decision-support tool for scheduling surgeons’ surgery-days and planning their required ICU capacity, thereby balancing ICU-bed occupancy by elective surgical-patients across the days of the week.

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Empowering patients with epidermolysis bullosa using public libraries and presenting a proposed model Empowering patients with epidermolysis bullosa using public libraries and presenting a proposed model 33578 10.48305/him.2026.46121.1385 FA Atena Ghomashi Department of Knowledge and Information Science ,N.T.C., Islamic Azad University, Tehran, Iran 0009-0007-1149-6127 Dariush Matlabi Departmen of Educational Sciences , Yadegar-e-Imam Khomeini , Islamic Azad University, Tehran, Iran. 0000-0002-2503-6558 Alireza Esfandiari Moghadam Department of Knowledge and Information Science ,N.T.C., Islamic Azad University, Tehran, Iran Najla Hariri Department of Knowledge and Information Science Science and Research Branc,Islamic Azad University, Tehran, Iran Journal Article 2026 01 31 Objective: Epidermolysis bullosa (EBL) is a chronic and debilitating disease that affects the quality of life of patients and their families. Public libraries can play an effective role in empowering these patients by providing access to health information and social support. This study aimed to explain the dimensions of empowerment of EBL patients in public libraries. Method: The study was conducted with a qualitative approach and content analysis. Data were collected through semi-structured interviews with 24 participants including physicians, health workers, health librarians, and patients / families and analyzed with MAXQDA 2020 software. Findings: The findings were presented in two sections: First, the needs of patients, the capacities of public libraries, and the network of supporting stakeholders were identified.Then, a three-layer conceptual model was developed in which the public library, as a communication hub, links patients' needs to specialized capacities and support networks. Conclusion: Public libraries, by synergizing services, technology, and support networks, can help to sustainably empower and improve the quality of life of patients with EP. Keywords: Public libraries, epidermolysis bullosa, EP, patient empowerment, health information, quality of life Objective: Epidermolysis bullosa (EBL) is a chronic and debilitating disease that affects the quality of life of patients and their families. Public libraries can play an effective role in empowering these patients by providing access to health information and social support. This study aimed to explain the dimensions of empowerment of EBL patients in public libraries. Method: The study was conducted with a qualitative approach and content analysis. Data were collected through semi-structured interviews with 24 participants including physicians, health workers, health librarians, and patients / families and analyzed with MAXQDA 2020 software. Findings: The findings were presented in two sections: First, the needs of patients, the capacities of public libraries, and the network of supporting stakeholders were identified.Then, a three-layer conceptual model was developed in which the public library, as a communication hub, links patients' needs to specialized capacities and support networks. Conclusion: Public libraries, by synergizing services, technology, and support networks, can help to sustainably empower and improve the quality of life of patients with EP. Keywords: Public libraries, epidermolysis bullosa, EP, patient empowerment, health information, quality of life

Isfahan University of Medical Sciences Health Information Management 1735-7853 23 2 2026 06 22 Consequences of Exposure to Health Doomscrolling and Strategies for Coping with: A Scoping Review Consequences of Exposure to Health Doomscrolling and Strategies for Coping with: A Scoping Review 33579 10.48305/him.2026.46430.1410 FA Firoozeh Zare Farashbandi Professor, Medical Library and Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran 0000-0002-1231-642X Mohammad Mehdi Shameli Shahreza M.Sc, Medical Library and Information Sciences, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan, Iran 0009-0007-7210-6284 Ehsan Geraei Associate professor, Department of Educational Sciences, Faculty of Literature and Humanities, Lorestan University, Khorramabad, Iran 0000-0001-9484-1617 Fatima Baji Associate professor (PhD), School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran 0000-0002-8405-3307 Journal Article 2026 06 17 Introduction: Following unpleasant health Doom Scrolling is the habit of obsessively browsing negative health news and information. The aim of the present study is to identify the consequences of health Doom Scrolling and strategies to cope with this behavior. Methods: The study was conducted as a scoping review following the PRISMA-ScR guidelines and the Joanna Briggs Institute methodology for scoping reviews. Data were collected through a systematic search of international and national databases using keywords related to Doom Scrolling. Out of 1185 retrieved records, 61 studies met the inclusion criteria and were entered into the final analysis. Results: Findings indicated that Consequences of Doom Scrolling can be divided into four general categories: physical (such as sleep problems and fatigue), psychological (such as increased anxiety, stress, and depression), social (such as decreased quality of life and reduced interactions), and information-technology (such as cyberspace addiction, privacy violations). Strategies for dealing with Doom Scrolling were also identified in six general categories: self-management, public education, children's education, policymaking, social support, and content monitoring. Conclusion: The evidence suggests that Doom Scrolling is a multidimensional phenomenon with widespread effects on different levels of individual and social health. Countering this phenomenon requires a multilevel and comprehensive approach that requires interventions in the individual, social, educational, organizational, regulatory, and media dimensions, such that reducing the negative consequences of this phenomenon requires combining individual empowerment and self-management with educational, structural, institutional, and regulatory measures in the health system and media space. Introduction: Following unpleasant health Doom Scrolling is the habit of obsessively browsing negative health news and information. The aim of the present study is to identify the consequences of health Doom Scrolling and strategies to cope with this behavior. Methods: The study was conducted as a scoping review following the PRISMA-ScR guidelines and the Joanna Briggs Institute methodology for scoping reviews. Data were collected through a systematic search of international and national databases using keywords related to Doom Scrolling. Out of 1185 retrieved records, 61 studies met the inclusion criteria and were entered into the final analysis. Results: Findings indicated that Consequences of Doom Scrolling can be divided into four general categories: physical (such as sleep problems and fatigue), psychological (such as increased anxiety, stress, and depression), social (such as decreased quality of life and reduced interactions), and information-technology (such as cyberspace addiction, privacy violations). Strategies for dealing with Doom Scrolling were also identified in six general categories: self-management, public education, children's education, policymaking, social support, and content monitoring. Conclusion: The evidence suggests that Doom Scrolling is a multidimensional phenomenon with widespread effects on different levels of individual and social health. Countering this phenomenon requires a multilevel and comprehensive approach that requires interventions in the individual, social, educational, organizational, regulatory, and media dimensions, such that reducing the negative consequences of this phenomenon requires combining individual empowerment and self-management with educational, structural, institutional, and regulatory measures in the health system and media space.