Estimating the Costs of End-of-Life Care in Patients With Advanced Cancer From the Perspective of an Insurance Organization: A Cross-Sectional Study in Iran.

OBJECTIVES: Cancers are significant medical conditions that contribute to the rising costs of healthcare systems and chronic diseases. This study aimed to estimate the average costs of medical services provided to patients with advanced cancers at the end of life (EOL). METHODS: We analyzed data from the Sata insurance claim database and the Health Information System of Baqiyatallah hospital in Iran. The study included all adult decedents who had advanced cancer without comorbidities, died between March 2020 and September 2020, and had a history of hospitalization in the hospital. We calculated the average total cost of healthcare services per patient during the EOL period, including both cancer-related and noncancer-related costs. RESULTS: A total of 220 patients met the inclusion criteria. The average duration of the EOL period for these patients was 178 days, with an average total cost of $8278 (SD $5698) for men and $9396 (SD $6593) for women. Cancer-related costs accounted for 64.42% of the total costs, including inpatient and outpatient services. Among these costs, hospitalization was the primary cost driver and had the greatest impact on EOL costs. This observation was supported by the multiple linear regression model, which suggested that hospitalization in the final days of life could potentially drive costs in these patients. Notably, no specialized palliative care was provided to the patients included in this study. CONCLUSIONS: The results demonstrate that there is a significant rise in costs of care in patients receiving routine cancer care rather than optimized EOL care.

Social disparities and inequalities in healthcare access and expenditures among Iranians exposed to sulfur mustard: a national study using spatio-temporal analysis.

BACKGROUND: Sulfur Mustard (SM) is a chemical warfare agent that has serious short-term and long-term effects on health. Thousands of Iranians were exposed to SM during the eight-year Iran-Iraq conflict and permanently injured while the socioeconomic imbalance in their healthcare utilization (HCU) and health expenditures remains. This study aims to describe the HCU of SM-exposed survivors in Iran from 2018 to 2021; identify high-risk areas; and apply an inequality analysis of utilization regarding the socioeconomic groups to reduce the gap by controlling crucial determinants. METHODS: From Oct 2018 to June 2021, the Veterans and Martyrs Affairs Foundation (VMAF) recorded 58,888 living war survivors with eye, lung, and skin ailments. After cleaning the dataset and removing junk codes, we defined 11 HCU-related variables and predicted the HCU for the upcoming years using Bayesian spatio-temporal models. We explored the association of individual-level HCU and determinants using a Zero-inflated Poisson (ZIP) model and also investigated the provincial hotspots using Local Moran's I. RESULTS: With ≥ 90% confidence, we discovered eleven HCU clusters in Iran. We discovered that the expected number of HCU 1) rises with increasing age, severity of complications in survivors' eyes and lungs, wealth index (WI), life expectancy (LE), and hospital beds ratio; and 2) decreases with growing skin complications, years of schooling (YOS), urbanization, number of hospital beds, length of stay (LOS) in bed, and bed occupancy rate (BOR). The concentration index (CInd) of HCU and associated costs in age and wealth groups were all positive, however, the signs of CInd values for HCU and total cost in YOS, urbanization, LOS, and Hospital beds ratio groups were not identical. CONCLUSIONS: We observed a tendency of pro-rich inequity and also higher HCU and expenditures for the elderly population. Finally, health policies should tackle potential socioeconomic inequities to reduce HCU gaps in the SM-exposed population. Also, policymakers should allocate the resources according to the hotspots of HCU.

Applying the Delphi Approach to Prioritize Social Factors Affecting the Development of Children Under Six Years.

BACKGROUND: Social determinants of health have a key role in the growth and development of children, particularly in early childhood which is mentioned from infancy to the age of six years old. These factors might cause disparities in living conditions and consequently bring about inequities regarding different aspects of development such as emotional, psychological, social, psychological, and intellectual. This research aimed to provide a model for prioritizing social factors affecting the development of children under six years. METHODS: We used quantitative-qualitative (mixed) method to perform data analysis. The statistical population included 12 medical experts and professionals in the field of children's development and social determinants of health that were selected using the snowball method. In the quantitative section, a Delphi technique was applied to screen the extracted indicators. Then through applying a decision-making trial and evaluation laboratory (DEMATEL) method, the cause-and-effect interactions among main social determinants were identified. To analyze data, super decision software was used. RESULTS: According to literature review and the results obtained from focus group discussions, five dimensions including individual factors, family factors, environmental factors, governance, and global factors were identified. Based on the study findings, the criterion of "family factors" was mentioned as the most important priority affecting childhood development. Furthermore, the sub-criterion of "International Programs and Policies" received the greatest priority among other sub-criteria with a profound impact on children's healthy growth and development. CONCLUSION: Despite the current knowledge about social determinants of health, it is required to identify the most influential socioeconomic factors on childhood development. In such a manner, political strategies for improving the health condition of children can be implemented based on scientific evidence. Due to the crucial role of family factors, environmental factors and other socio-economic conditions, health policy makers and public health practitioners should be informed of the importance of these factors in shaping the health condition of children.

Design, implementation, and evaluation of a CPOE system in a cancer care setting: A case study on the gastric cancer patients.

BACKGROUND: Chemotherapy is a complex, multi-disciplinary, and error-prone process. Information technology is being increasingly used in different health care settings with complex work procedures such as cancer care to enhance the quality and safety of care. In this study, we aimed to develop a computerized physician order entry (CPOE) for chemotherapy prescribing in patients with gastric cancer and to evaluate the impact of CPOE on medication errors and order problems. MATERIALS AND METHODS: A multi-disciplinary team consisting of a chemotherapy council group and system design and implementation team was formed for chemotherapy process evaluation, requirement analysis, developing computer-based protocols, and implementation of CPOE. A before and after study was conducted to evaluate the impact of CPOE on the chemotherapy process and medication errors and problem orders. To evaluate the level of end-user satisfaction, an ISO Norm 9241/110 usability questionnaire was chosen for the evaluation. RESULTS: Before the implementation of the CPOE system, 37 medication errors (46.25%) and 53 problem orders (66.25%) were recorded for 80 paper-based chemotherapy prescriptions. After implementation of the CPOE system, 7 (8.7%) medication errors and 6 (7.5%) problem orders were recorded for 80 CPOE prescriptions. The implementation of CPOE reduced the medication error by 37.55% and the problematic order by 58.75%. The results for usability evaluation indicate that the CPOE was within the first class of the ISONORM level rating; this shows that a CPOE is with very high satisfaction and a very high functionality rate. CONCLUSION: Developing a CPOE system significantly improved safety and quality of the chemotherapy process in cancer care settings by reducing the medication error, deleting unnecessary steps, improving communication and coordination between providers, and use of updated evidence-based medicine in direct chemotherapy orders. However, the CPOE system does not prevent all medication errors and may cause new errors. These errors can be human-related factors or associated with the design and implementation of the systems.

A study of factors affecting the length of hospital stay (LOS) of COVID-19 patients: A qualitative evidence in Iranian hospital.

BACKGROUND: The present study aimed to identify the administrators' and physicians' experiences and viewpoints about the factors affecting the length of stay (LOS) of COVID-19 patients and provide valid operational evidence. MATERIALS AND METHODS: The current study was carried out qualitatively and phenomenologically on experts, officials, and administrators of hospitals in 2021. Purposeful sampling was performed with the maximum diversity. To achieve a comprehensive view, snowball sampling was conducted. Twenty-one experts in the field of healthcare and emerging diseases participated in this study. Semi-structured interviews were used to collect the data. The study sites were universities of medical sciences and hospitals of the Ministry of Health of Iran. The interview questions included questions about the factors affecting the LOS and strategies for controlling the LOS of COVID-19 patients in infectious units. Text analysis was performed through the content analysis method in MAXQDA-10 software. RESULTS: Based on the experts' viewpoints, several factors affected the LOS in COVID-19 patients. These factors were divided into five clinical, preclinical, economic, social, and management subcategories. The proposed solutions included policy solutions (supportive policies, development of home care services, training and culture building, and establishment of clinical guidelines) and operational solutions (drug management, promotion of equipment and facilities, telehealth or telemedicine services, and promotion of clinical and support processes). CONCLUSION: One of the main tasks of hospital administrators is identifying the factors affecting the reduction of LOS. Among these factors, clinical and management factors in the hospital are more important and need more planning and attention by hospital officials.

Developing the breast cancer risk prediction system using hybrid machine learning algorithms.

BACKGROUND: Breast cancer (BC) is the most common cause of cancer-related deaths in women globally. Currently, many machine learning (ML)-based predictive models have been established to assist clinicians in decision making for the prediction of BC. However, preventing risk factor formation even with having healthy lifestyle behaviors or preventing disease at early stages can significantly lead to optimal population-wide BC health. Thus, we aimed to develop a prediction model by using a genetic algorithm (GA) incorporating several ML algorithms for the prediction and early warning of BC. MATERIAL AND METHODS: The data of 3168 healthy individuals and 1742 patient case records in the BC Registry Database in Ayatollah Taleghani hospital, Abadan, Iran were analyzed. First, a modified hybrid GA was used to perform feature selection and optimization of selected features. Then, with the use of selected features, several ML algorithms were trained to predict BC. Afterward, the performance of each model was measured in terms of accuracy, precision, sensitivity, specificity, and receiver operating characteristic (ROC) curve metrics. Finally, a clinical decision support system based on the best model was developed. RESULTS: After performing feature selection, age, consumption of dairy products, BC family history, breast biopsy, chest X-ray, hormone therapy, alcohol consumption, being overweight, having children, and education statuses were selected as the most important features for prediction of BC. The experimental results showed that the decision tree yielded a superior performance than other ML models, with values of 99.3%, 99.5%, 98.26% for accuracy, specificity, and sensitivity, respectively. CONCLUSION: The developed predictive system can accurately identify persons who are at elevated risk for BC and can be used as an essential clinical screening tool for the early prevention of BC and serve as an important tool for developing preventive health strategies.

Location selection criteria for field hospitals: A systematic review.

Background: Establishing field hospitals is a critical task for governments to complete following disasters, with the first step being to identify suitable locations. Although field hospitals are similar to permanent hospitals and temporary shelters, no research in English has been conducted to extract the location selection criteria for field hospitals from those for hospitals and temporary shelters. Methods: A meta-synthetic approach was used to review all related qualitative, quantitative, and mixed studies published in English between January 2010 and June 2020 to identify new field hospital site selection criteria distinct from those used to select a permanent hospital and temporary sheltering sites. Results: From 4317 screened records, 24 articles were eventually identified as eligible studies, through which 151 open codes, 21 axial codes, and nine themes were identified. The top three axes included proximity to main roads, proximity/distance to permanent hospitals, and proximity/distance to other medical centers. Conclusion: By considering a field hospital as a facility with certain characteristics similar to permanent hospitals and temporary shelters, it is possible to identify specific new criteria and sub-criteria by extracting items common to permanent hospitals and temporary shelter site selection studies.

Stakeholders analysis of COVID-19 management and control: a case of Iran.

BACKGROUND: The COVID-19 pandemic is a multi-faceted phenomenon with many political, economic and social consequences. Success in managing and controlling this pandemic depends on the coordinated efforts of many organizations and institutions. Therefore, this study aimed to identify and analyze the actors and stakeholders related to managing and controlling this pandemic in Iran. METHODS: This mix-method stakeholder analysis was conducted in 2021 nationwide as retrospectively. The purposive sampling method was applied when inviting eligible participants to participate in the study. Our study was conducted in two phases. In the qualitative phase, data were collected using a semi-structured interview. An interview guide was developed based on the WHO stakeholder analysis framework. In the quantitative phase, we used a questionnaire developed based on the study framework. Each question was scored on a 5-point Likert scale, with a score greater than 4 was considered as high, 3-4 was considered as moderate, and 1-3 was considered as low. Data were analyzed using framework analysis, WHO stakeholders' analysis framework and MENDELOW matrix. MAXQDA qualitative data analysis software Version 11 and Policy Maker software (Version. 4) were used for data analysis. RESULTS: A total of 48 stakeholders were identified. Ministry of Health (MoH), National Headquarters for Coronavirus Control (NHCC) had the highest participation level, high supportive position, and knowledge of the subject. The Parliament of Iran (PoI), Islamic Revolutionary Guard Corps (IRGC), and Islamic Republic of Iran Broadcasting (IRIB) had the highest power/influence during the Covid-19 epidemic. Only two stakeholders (6.06%) had high participation, and 18.18% had moderate participation. All stakeholders except for the NHCC and the MoH lacked appropriate knowledge of the subject. Furthermore, only three stakeholders (9.09%) had high power/influence. CONCLUSION: Given the multidimensional nature of Covid-19, most institutions and organizations were involved in managing this pandemic. Stakeholders with high power/authority and resources had a low/moderate participation level and a moderate supportive position. Moreover, organizations with a high supportive position and participation had low power/authority and resources to cope with COVID-19.

Proposed Model of Management for Patients with Multi-Morbidity in Iranian Hospitals.

Background: Today, multi-morbidity (MM), the presence of more than one disease in the same person at the same time, has been prevalent. This is while the healthcare delivery systems are formed based on a single-disease-oriented approach. Hence, this study intended to address presenting a model for the management of patients with multi-morbidity in Iranian hospitals. Methods: This was a mixed-method study. The data was gathered from 54 semi-structured interviews with the participation of experts in inpatient care management who were purposefully selected. The qualitative data were analyzed using content analysis. The Interpretive Structural Modeling (ISM) via STATA and Excel software was exploited in the quantitative phase. Results: The factors affecting the management of patients with multi-morbidity were identified in 26 main themes and 142 sub-themes, and ultimately, a model for improving the management of patients with multi-morbidity in Iranian hospitals at six different levels was offered. The "Comprehensive Health Care Information System (CHIS) and Electronic Health Record (EHR)" had the greatest influence and the lowest dependency. "Efforts to remove patients' confusion" had the highest dependency and the lowest influence. The results of employing the Cross Impact Matrix Multiplication Applied to Classification (MICMAC) analysis demonstrated that most of the variables are placed in the third group of linkage variables that have high driving power and dependence power. Conclusion: Concerning the sophisticated needs of patients with multi-morbidity for the management of their clinical conditions, the presented model could be provided to policymakers and health care managers as a beneficial performance guideline for improving the quality of care.

Epidemiological Study of Lung Cancer in Iran: A Systematic Review.

Background: There is no comprehensive study addressing all the epidemiological aspects of Lung cancer (LC) in Iran, therefore this systematic review investigated the epidemiological aspects of lung cancer in Iran. Methods: The search was performed until the Aug. 2020 on the in international databases based on PRISMA protocol by Pulmonary Neoplasms, Lung Neoplasm, Neoplasm, Lung, Lung Cancer, Cancer, Pulmonary Cancer, Cancer, Pulmonary, Cancers, Cancer of the Lung, Iran, incidence, death, risk factors keywords and different combinations of them. Articles that evaluated epidemiological aspects of lung cancer were included in the analysis. Results: Of 1420 articles, 82 cases were entered the analysis. Based on studies, in Iran, lung cancer has been the most common cancer and its prevalence is increasing. Squamous cell carcinoma and adenocarcinoma is the most common type of lung cancer in men and women, respectively. Cigarette smoking, human papilloma virus (HPV) infection, mustard gas, occupational risk factors and genetic factors considered as the major reported risk factors for lung cancer and vegetarian diet as a protective factor. Conclusion: In according to the increasing trend of incidence and mortality of lung cancer in Iran, elimination of the major risk factors can decrease this issue and national comprehensive planning should be considered in health promotion plans.

Designing a model for patient relationship management in the general hospitals using the combination of analytic hierarchy process and interpretive structural modeling.

BACKGROUND: Patient relationship management (PRM), in addition to saving costs, increases patient loyalty and creates a satisfactory environment for the patient and the service provider. This study aimed to design a model of PRM in general hospitals using the combination of the analytic hierarchy process and interpretive structural modeling (ISM). METHODS: This was an applied and cross-sectional study conducted in 2020 at three stages. At the first stage, using a systematic review, factors affecting PRM were identified. In the second stage, these factors were prioritized based on the pair-wise comparisons. In the third stage, the interaction levels of the factors were modeled for the general hospitals using ISM through the use of the MICMAC technique and Excel 2007 software. RESULTS: The results showed that "integrated information system," "registration of the patient's essential information," and "right data at the correct time" were the first to third priority in implementing PRM in the general hospitals. In the final model of ISM, three levels of effective factors were extracted, and 10, 4, and 6 factors were identified in the first, second, and third levels, respectively. CONCLUSION: Establishing the PRM strategy in the hospital, in addition to executive and managerial requirements, depends on the existence of an electronic customer relationship management system, and the choice of new technology, as well as the integration of information systems and technology culture, should be given special attention by managers.

Mental disorders pattern in staff of a military unit in Iran: the role of metabolic syndrome on latent class membership.

INTRODUCTION: Mental disorders are among the most prevalent health problems of the adult population in the world. This study aimed to identify the subgroups of staff based on mental disorders and assess the independent role of metabolic syndrome (MetS) on the membership of participants in each latent class. METHODS: This cross-sectional study was conducted among 694 staff of a military unit in Tehran in 2017. All staff of this military unit was invited to participate in this study. The collected data included demographic characteristics, anthropometric measures, blood pressure, biochemical parameters, and mental disorders. We performed latent class analysis using a procedure for latent class analysis (PROC LCA) in SAS to identify class membership of mental disorders using Symptom Checklist-90. RESULTS: Three latent classes were identified as healthy (92.7%), mild (4.9%), and severe (2.4%) mental disorders. Having higher age significantly decreased the odds of belonging to the mild class (adjusted OR (aOR = 0.21; 95% confidence interval (CI): 0.05-0.83) compared to the healthy class. Also, obesity decreased the odds of membership in mild class (aOR = 0.10, 95% CI: 0.01-0.92) compared to healthy class. On the other hand, being female increased the odds of being in severe class (aOR = 9.76; 95% CI: 1.35-70.65) class in comparison to healthy class. CONCLUSION: This study revealed that 7.3% of staff fell under mild and severe classes. Considering educational workshops in the workplace about mental disorders could be effective in enhancing staff's knowledge of these disorders. Also, treatment of comorbid mental disorders may help reduce their prevalence and comorbidity.

Health needs assessment of the residents of the informal settlements in South-Eastern Iran: A case study of Bam city.

BACKGROUND: Informal settlements are considered as one of the social problems in societies. As the residents do not have adequate access to basic services, including health services, their health is at risk. This study was conducted to evaluate the access to health services and determine the health needs of informal settlements in Bam city. MATERIALS AND METHODS: This cross-sectional study was carried out in the spring of 2020 in Bam. The sample size was 400 residents of informal settlements in Bam, and the multi-stage random cluster sampling was used. A researcher-made questionnaire was used to collect the required data. The validity of the questionnaire was confirmed using the content validity, and its reliability was 85% by Cronbach's alpha. The data were analyzed using the SPSS version 23 software and descriptive statistics (frequency, mean, standard deviation, and percentage) as well as analytical statistics (Mann-Whitney and Kruskal-Wallis tests). RESULTS: More than 50% of the individuals had good access to general practitioners and health centers. However, over 50% had poor access to dental, para-clinical, specialist, and hospital services. Furthermore, 49.3% of the people assessed their health status as poor in the previous year. A total of 46 items in the areas of communicable and non-communicable diseases, women's health, mental and social health and addiction, environmental health, etc., were identified as the most important health needs of the informal settlement residents. CONCLUSION: Informal settlements are facing various health problems including environmental health, mental and social health, and addiction, meeting which requires collaboration of all stakeholders as well as provision of a comprehensive program and appropriate service packages.

Comparing 2 Appointment Scheduling Policies Using Discrete-Event Simulation.

BACKGROUND AND OBJECTIVES: Two of the most important policies for dealing with the negative effects of high rates of no-show patients and appointment cancellations include double-booking and walk-in admission policies. This study aimed to compare these policies to identify their differences and their effects as well as the best circumstances for using each one. METHODS: The main approach used in this study was discrete-event simulation using the Arena software application. Moreover, the average waiting time (considering patients' lateness) and the number of missed patients (considering no-show and cancelled patients) were accounted for in the performance evaluation criteria for both of the selected policies. RESULTS: When the patients' arrival rate was high, the double-booking system resulted in higher productivity, while when it was low, the walk-in admission policy was the best policy for patient admission. The successful appointment rates of the current system, the walk-in admission system, and the double-booking system were 61.18%, 89.45%, and 93.24%, respectively. CONCLUSIONS: Although both double-booking and walk-in policies reduced the negative effects of cancelled and no-show patients, they had significantly different results in different situations. In general, there is no best system for appointment scheduling, and the choice of the superior system depends on the demand rate and its fluctuations.

Impact of comorbidities on mortality in hospitalized patients with COVID-19: An experience from Iran.

BACKGROUND: COVID-19 pandemic has spread all over the world. However, information regarding clinical characteristics and prognostic factors is scarce. The aim of this study was to explore the impact of preexistent chronic comorbid conditions and multimorbidity on risk of mortality in patients with COVID-19. MATERIALS AND METHODS: We designed a retrospective, cross-sectional, observational, single-center study. Data were analyzed from all consecutive patients diagnosed with COVID-19 who admitted in a pandemic hospital affiliated with Tabriz University of Medical Sciences, Tabriz, Iran, from February 20, 2020, to September 25, 2020. The independent effects of preexistent conditions were evaluated using multivariate logistic regression model. RESULTS: A total of 2597 hospitalized patients with COVID-19 were included. At least one preexistent condition was observed in 36.5% of study population. Multivariate logistic regression analysis showed that older age, male sex, diabetes, cardiovascular disease, hypertension, cancer, chronic kidney diseases, liver diseases, and chronic obstructive pulmonary disease were associated with increased risk of mortality. In addition, the number of comorbidities was significantly associated with increased odds of mortality compared to no-comorbidity. CONCLUSION: The results of this study suggest that patients with comorbidities have an increased risk of in-hospital mortality following COVID-19 infection.

Knowledge mapping of hospital accreditation research: a coword analysis.

PURPOSE: Hospital accreditation has been adopted internationally as a way and solution for healthcare quality improvement in hospitals. The purpose of this study was to review and knowledge mapping of bibliographic data about "Hospital Accreditation" and assess the current quantitative trends. DESIGN/METHODOLOGY/APPROACH: Scientometric methods and knowledge visualization using the coword analysis techniques conducted in three steps based on the data related to the field of hospital accreditation from 1975 to 2018 obtained from the MEDLINE database. Bibliographic data for titles, abstracts and keywords articles were saved in CSV format and MEDLINE templates by applying filters. Data extracted were exported into an Excel spreadsheet and were preprocessed. The authors applied the text mining and visualization using VOSviewer software. FINDINGS: Hospital accreditation studies have been increased rapidly over the past 30 years. 6,661 documents in the field of hospital accreditation had been published from 1975 to 2018. Hospitals or organizations active in the field of hospital accreditation were in the United States, Italy and Canada. The 10 most productive authors identified in the area of hospital accreditation with a higher influence were identified. "The United States", "accreditation", "Joint commission on accreditation" and "quality assurance, healthcare" had, respectively, the highest frequency. The cluster analysis identified and categorized them into four major clusters. Hospital accreditation field had a close relationship with the quality improvement, patient safety, risk and standards. ORIGINALITY/VALUE: Hospital accreditation had focused on the scopes of implementation of accreditation programs, adherence to JCI standards, and focus on safety and quality improvement. Future studies are recommended to be conducted on design interventions and paying attention to all dimensions of hospital accreditation.

Factors Affecting the Failure to Report Medical Errors by Nurses Using the Analytical Hierarchy Process (AHP).

This cross-sectional study aimed to determine factors affecting the failure to report medical errors in teaching hospitals affiliated to Iran. The required data were collected during stages of systematic review and develop of researcher-made questionnaire. A total of 131 nurses were selected using Cochran's sample size formula. The collected data were analyzed by Analytic Hierarchy Process (AHP) using Expert Choice software. Results showed that the most important factors affecting the failure to report medical errors by nurses were, respectively, management-related factors (W = 0.595), nurse-related factors (W = 0.276), and factors related to the error reporting process (W = 0.128).

The Related Factors of Nurses' Participation and Perceived Benefits and Barriers in Health Policy Making.

BACKGROUND: Nurses play a critical role in providing good health services. PURPOSE: The aim of this study was to examine the factors related to the participation of nurses in the provision of health services and the perceived benefits and barriers to their participation in health policy making. METHODS: A cross-sectional descriptive study was conducted in several hospitals affiliated with the Iran University of Medical Sciences during the first half of 2018 on a sample size of 220 people. A standard, self-management questionnaire was used to collect the data, and SPSS 21.0 software was used for data analysis. None of the demographic characteristics were found to be significantly associated with nurse participation in or the perceived barriers and benefits to health policy making. RESULTS: The results of this study show that the participants were involved only moderately in health policy making. "Providing written reports on problems or receiving consultation from a related official" was the performance item most frequently cited by the participants in terms of involvement, whereas "Disappointment in work procedures" was the most frequently cited barrier item affecting involvement. CONCLUSIONS/IMPLICATIONS FOR PRACTICE: Despite the importance of the nursing role in health polices, this study indicates that nurses participate at only a moderate level in health policy-making activities. Providing more information to nurses regarding health policies, enhancing nurses' image of their job and their perceptions about the importance of their participation in the health policy, increasing partnerships with nurses at the upper levels of health services management, and supporting nursing professional organizations in the field of health policy are potential strategies for encouraging greater nursing participation in health policy making.