Showing 32 results for Model
Zohreh Kaheh, Dr Ali Husseinzadeh Kashan,
Volume 15, Issue 4 (1-2017)
Abstract
Background: medical centers location is one of the most important problems, which should be considered in different dimensions to improve the services. In this paper, we consider the hierarchical maximum covering problem for bi-level healthcare systems including Clinics and hospitals, by taking the service rates into account. In this problem, the initial objective is minimizing the uncovered demand nodes, and secondary objective is the minimizing the lost demand rate as a measure of potentially patients’ retention in coverage radius.
Methods: In this paper, the serving system in the Tehran heart center hospital is considered for queue analyses. The proposed method is a mathematical optimization model called probabilistic two-stage programming model. To evaluate this model, a number of numerical problems are solved through GAMS software.
Results: according to the results, we have found that the best condition for locating the medical centers is that the clinic are located adjacent to a hospital. Decision making about the location problem by considering the service rate in each healthcare centers, increases the reliability to the result of the optimization model.
Conclusion: The proposed model is able to help the decision makers to attain an optimized decision for locating the medical centers in deprived areas, inspired by the medical centers in areas with similar population. Therefore, if the clinics and hospitals are located by considering the hierarchical mode and their service rates, the patients’ welfare will be enhanced.
Monireh Koohsari , Dr Bahram Mohebbi, Dr Roya Sadeghi, Dr Azar Tol , Dr Abbas Rahimi Forooshani ,
Volume 15, Issue 4 (1-2017)
Abstract
Background: Considering the importance of standard precautions to prevent needle stick injuries and health care staff, this study aimed to determine the effectiveness of educational interventions to improve adherence to standard precautions, health belief model based on professional clinical staff needle stick two hospital "yaftabad" and "Ghiyasi" done.
Materials and Methods: This study was an experimental study of two group. The study population was 90 persons of professional clinical staff Shohada Hospital Yaftabad as the intervention group and 90 patients from the hospital Ghiyasi as compared to randomly selected and three part questionnaire including demographic, structures, health belief model , and practice questions were completed. In analyzing the data, descriptive and inferential statistical methods were used.
Results: At baseline, the two groups regarding demographic variables, health belief model structures and functional do not different between them. After intervention structures perceived severity, perceived susceptibility, perceived barriers, self-efficacy and performance of the experimental group showed statistically significant change (p< 0.05) that the effect of education based on health belief model.
Conclusion: education based on health belief model, you can increase the level of knowledge and capacity building and efficacy in clinical staff needs people to observe standard precautions
Dr Afsaneh Keramat, Dr Forozun Olfati, Dr Saeed Asefzadeh, Dr Nasrin Changizi, Dr Masoud Yunesian,
Volume 16, Issue 2 (7-2017)
Abstract
Background: Because of the current population policies adopted in Iran followed by increasing the number of births, this study aimed to investigate the current situation of safe delivery and proposed a model based on clinical governance.
Materials and Methods: This study is a combinatorial-exploratory research (Mixed Method) conducted in four hospitals in Qazvin and Semnan provinces including two stages in 2014. The first stage was the assessment of current situation; clarifying safe delivery, reviewing literatures, providing two checklists, assessment of current situation based on assessment of continuous quality improvement and assurance of the quality and the second stage was presenting the model including codification of safe delivery model in seven axes of clinical governance, the approval of the model on the panel using nominal group technique.
Results: In quality assurance, hospital (4) and hospital (2) obtained the maximum score (1431) and minimum score (1237) respectively. All hospitals in continuous quality assessment, admission in the intensive care unit (P < 0.001), mothers with severe consequence of pregnancy (P = 0.004) and 16 cases out of 27 errors had significant statistical difference.
Conclusions: In order to improve the quality of Maternity ward, hospitals' accreditation also should be based on the principles of clinical governance. In addition to evaluations based on quality assurance and annual accreditation, assessment using continuous quality improvement methods based on clinical governance is essential. The proposed model includes seven axes of clinical governance.
Dr Hojjat Rahmani, Ghasem Rajabi Vasokolaee , Dr Jalal Saeidpour, Dr Mehdi Rezaei , Dr Somayeh Niakan, Bahman Khosravi ,
Volume 16, Issue 4 (2-2018)
Abstract
Background: Considering the key role of human resource management in health care organizations, assessing human resources and its pathology are essential. Therefore, this study aimed to evaluate human resources pathology in Imam Khomeini Hospital complex in Tehran.
Materials and Methods: The present study was conducted using descriptive-analytical method in 2016. In this research, 342 employees of Imam Khomeini Hospital complex were selected. The data were collected using a standard three-dimension questionnaire, then, descriptive (frequency, percentage, mean, standard deviation) and analytical statistics (Pearson Correlation Coefficient) were used to data analysis.
Results: Study results revealed that the highest and the lowest mean and standard deviation were obtained for the variable of motivation and job satisfaction (3.51 ± 1.02) and improvement methods (2.81 ± 0.84), respectively. Among all studied variables, behavioral (3.29) and contextual (2.91) factors scored the highest and lowest points respectively. Correlation between structural, behavioral and contextual with demographics revealed a statistically significant association with sex.
Conclusion: According to study findings, considering the importance and role in providing the desired services, human resource managers should pay special attention to identify all organizational factors, especially organizational culture, motivation and job satisfaction, employee training, job security and customer orientation.
Dr Ali Bozorgi Amiri , Arian Hossainzadeh,
Volume 17, Issue 2 (9-2018)
Abstract
Background: Today, one of the most important issues in hospital site selection is to consider the equity. This study aimed to provide a multi-objective model for fair Hospital site selection considering cost and use for hospitals construction in the future.
Materials and Methods: This study was an analytical-descriptive one conducted to determine the best locations for hospitals construction with respect to criteria of equity in Rasht city. For this purpose, after literature review, a three-objective model consist of p-median, p-envy and equitable loads objects was proposed; and the Rasht city was analyzed by model using the real data. In order to achieve the results and comparisons, the total weighting technique from the multi-objective decision-making techniques was used and solved with GAMS 24.1.1 software.
Results: This research can assist the decision-makers to consider the equity criteria to Hospital site selection in addition to the costs. Citizenship equity establishment and increasing in hospitals efficiency along with cost considerations can be regarded as the major achievements of this research for decision-makers in the health field.
Conclusion: Lack of proper attention to equity criteria hospital site selection, the results can be very unfair and can lead to irreparable consequences. This case study indicated the desirable function of the proposed model in hospital site selection with respect to the citizenship equity criteria in Rasht city. This study results can be given to managers as the proper basis for decision-making.
Motahareh Payam, Dr Farzad Firouzi Jahantigh,
Volume 18, Issue 3 (10-2019)
Abstract
Background: According to the importance of health and treatment, it is necessary to use suitable models for planning and setting surgery time. In this study, a mathematical model is offered for operational scheduling of surgeries at surgery rooms of hospitals.
Material and Methods: This is an applied study and its data is related to the surgery rooms of Zahedan Al-Zahra eye hospital. Study population was the surgeries performed in March 2016. The mathematical model of scheduling surgeries at the surgery room was optimized in MATLAB2014.
Results: Due to limitations on patient admission capacity in hospital surgery ward, 79 surgeries were called off. In the proposed model, the total waiting time index for performing surgeries was 1547.29, and this index was found to be 1842 without the use of the model. Therefore, the waiting time index was improved by 16%. In accordance with the third purpose (objective) function, the tally of delays for predicted surgery ending time in one month was estimated to be 69.15 hours. The process of each surgery includes four defined activities. The end time of the activities related to each surgery has been examined and it has been optimized according to the existing limitations.
Conclusion: The proposed model can improve the waiting time by 16% and makes it possible to choose the surgical procedures that should be canceled and delayed according to medical priorities.
Ramin Dastab, Farahnaz Farnia, Somayeh Zare,
Volume 19, Issue 3 (11-2020)
Abstract
Background: Quality of life is a mental issue that causes a person to be affected by various factors including self-efficacy. The roadmap in this field is family-centered empowerment, which aims to promote health. The aim of this study was to determine the effect of family-centered empowerment model on quality of life and self-efficacy of kidney transplant patients.
Materials and Method: This study is a randomized controlled clinical trial. 100 kidney transplant patients, who came to Shahid Hasheminejad Hospital, were divided into two groups of control and intervention by initial accidental sampling. Data collection tools were a three-part questionnaire includes of demographic characteristics, quality of life of patients of kidney transplant questionnaire (KTQ-25) and the questionnaire of health empowerment to survey about self-care (SUPPH). These questionnaires were completed by both groups once the study was initiated and another time 1.5 months after intervention. Data were analyzed by SPSS software (version 20), chi-square and T-test.
Results: findings demonstrated that when the study was initiated there was not any significance difference between these two groups in terms of demographic quantitative and qualitative characteristics and mean of quality of life and self-efficacy. In compared with control group, mean of quality of life of intervention group was increased. Statistically, it has a significance difference (0<0.001). Also, in comparison with control group, the score of self-efficacy promoted and it has a significance difference.
Conclusion: Considering the positive effect of family-centered empowerment model on self-efficacy of kidney transplant patients and finally on their quality of life, it is necessary to consider this model with the aim of promoting patients' health.
Serajaddin Gray, Saeed Bayyenat,
Volume 19, Issue 4 (12-2020)
Abstract
Background: In Iran, the accreditation system is mainly focused on hospitals and has not yet succeeded in providing standards for independent medical centers such as independent clinics. The present study reports the development of an accreditation framework for independent clinics affiliated with the country's armed forces.
Materials & Methods: This is a mixed (qualitative-quantitative) study. Experts' agreement (30 people) on the results of a systematic review (201 items) was obtained using a questionnaire and through holding three expert panels. The necessity of each item was calculated using the method of content validity ratio and the weight of standards and headings based on the average.
Results: The existing 201 items were converted into 75 standards in 13 headings as final standards with the weight of each item.
Conclusion: This framework can be used as a comparison tool between independent medical centers and it is necessary to train evaluators, and prepare legal and organizational requirements in order to implement it.
Hossein Dehghanzadeh, Mohammad Meskarpou_amiri, Sayyed_morteza Hossein_shokouh, Mohammadkarim Bahadori, Javad Khoshmanzar,
Volume 20, Issue 1 (5-2021)
Abstract
Background: Due to the legal necessity of changing the approach of universities from traditional budgeting into the operational budgeting system, it should be noted that this method of budgeting is associated with challenges. The aim of this study was to evaluate the feasibility and prioritization of operational budgeting dimensions in a military medical university.
Materials & Methods: This descriptive-analytical and cross-sectional study was conducted in 2020 in two stages. In the first stage, 68 managers, staff and experts of the deputy for Planning and Finance of a Military Medical Sciences university were enrolled by census method. In the second stage, 10 experts were purposefully included in the study. Data collection tool was two valid and reliable questionnaires. Data were analyzed using t-test and SPSS software in the first stage and using AHP approach and Expert Choice software in the second stage.
Results: The average overall score and the score for each of the dimensions of ability, authority and acceptance of operational budgeting was 2.3, 2.39, 2.38 and 2.31, respectively which was at an undesirable level (P< 0.05). Also, dimensions of the ability with a weight of 0.547, acceptance with a weight of 0.244 and authority with a weight of 0.209 had the highest weight and importance in the implementation of the operational budgeting system, respectively.
Conclusion: Based on the results, it is necessary to pay attention to the three main dimensions of ability, authority and acceptance in implementing operational budgeting in the study population.
Hamid Mohammadi, Shahram Tofighi, Mostafa Rajabi, Hamidreza Izadbakhsh, Bahar Hafezi,
Volume 20, Issue 2 (9-2021)
Abstract
Background: The outlook for hospital care is changing rapidly. Supply and demand stimuli in the health service system are changing dramatically. The health department of the Social Security Administration has also been challenged by the growing number of patients. This study was conducted to help this organization with the aim of designing a conceptual causal model of the interaction between supply and demand of health care.
Materials and Methods: This research is a qualitative study that was conducted in 2020. It presented a conceptual model in two steps in the first step, semi-structured interviews were used to extract important factors in the supply and demand of health services in hospitals. In the second step, the system simulation approach was used and the feedback relationships between the patient's routes to the hospital and the provision of medical services were presented.
Results: According to the study hypothesis, the prevalence of disease and budget allocation as an indicator of medical need and expected medical demand, positively affect the number of visits to hospitals of the Social Security Organization. Accordingly, four sub-models of patient flow, health care budget, treatment staff (physician, nurse) and hospital capacity were extracted.
Conclusion: Medical budgets allocated to hospitals to improve medical facilities and increase the number of staff, have created positive expectations among social security insured regarding the use of hospital services. Paying attention to providing sufficient manpower (doctor, nurse) and bed capacity with the budget which is spent for this service are the indicators of improving the quality of services.
Farzaneh Fouladi, Masoumeh Fouladi,
Volume 20, Issue 4 (12-2021)
Abstract
Background: Covid-19 pandemic peak put additional strains on healthcare system. In this crisis, the resilience of nursing staff is critical. This study aimed to investigate the relationship between burnout and resilience in frontline nursing staff working in high-risk areas during the outbreak of Covid-19 pandemic.
Materials and Methods: The present study is a Descriptive-analytical survey, and the target group is Iranian nurses. According to the Ministry of Health statistics, 125369 people are participated in this study. information is collected from 384 people by cluster distribution using questionnaire. The statistical analysis in this study is performed by SPSS and SMART-PLS software
Results: According to the study, all the collected information is normal. Based on factor analysis, there is an inverse significant relationship between resilience and burnout, and also, the sense of success has a significant effect on resilience as part of burnout.
Conclusion: In order to increase the resilience of nursing staff in such conditions, it is necessary to pay more attention to the factors affecting their burnout and plan to minimize it. Developing educational programs and adding diversity in service delivery might be useful to enhance personal feelings and also reduce burnout.
Hamid Mohammadi, Shahram Tofighi, Mostafa Rajabi, Hamidreza Izadbakhsh, Bahar Hafezi,
Volume 21, Issue 1 (5-2022)
Abstract
Background: The use of simulation models can help elucidate the intuitive behavior of complex health care problems. Today, the complexity of problems goes far beyond our capacity to solve them manually. System simulation is considered as a wise option by approaching structural problems and understanding the complex interactions within the problems and their changes. The purpose of this study is to review the most advanced applications of system dynamics in healthcare.
Materials and methods: This study is a systematic selection of articles that explored the applications of system dynamics in health care in 11 databases between 1999 and 2019. The focus of this research was on articles with the keywords including system dynamics in health care, dynamic health care analysis, continuous health care simulation or dynamic health care simulation.
Results: 79 articles related to system dynamics applications in healthcare were identified in databases. Eighty-five percent of the articles focused on finance, politics, government, regulation, public health, and health care planning. Among the articles, the patient's treatment path, obesity and demand for healthcare workforce were examined.
Conclusion: The tendency to use continuous simulation in healthcare has increased. However, the power of hybrid simulation can take advantage of the inherent strength of the system dynamics overview perspective, and in a hybrid model it can utilize a holistic perspective for managing health care systems. Potential areas with the application of systems dynamics in future research include planning and policy-making in public health decision-making, purchasing quality management, care and risk.
Azadeh Sobhkhiz Koozehkanan, Zahra Haji Anzahaei, Farideh Ashrafganjooie, Mohammad Hossein Pourgharib Shahi,
Volume 21, Issue 2 (9-2022)
Abstract
Background and purpose: Today, hospital care, relying on the health record system, has received more attention than before. Considering the diversity of data in these systems, the design of standard conceptual and logical models by service providers will play an important role in their success. Therefore, this research was conducted with the aim of designing a logical data model of the hospital information management system for athletes based on international standards.
Materials and methods: The design of the logical model of the hospital information system for athletes in Iran based on the main entities and components of the system was done after comparing the selected countries, the initial review of the needs of the beneficiaries, the dataset validated by the experts and the validation of the conceptual model, and the diagrams were painted. The meeting was held with the presence of experts to validate the proposed logical model. The proposed amendments were discussed and carried out in the meeting, the collective agreement on the presented logical model and the validity of the model were confirmed.
Results: login activities, password change, examination appointment booking, athlete information registration, examination registration, test results registration, vaccination information registration activity, health reminder registration, and health information registration were determined as the main diagrams of this system.
Conclusion: Based on the findings, it seems that access to sports medicine information is the key point, and a person can see and receive health needs related to him in a patient-centered treatment.
Amin Biglarkhani, Rezvan Abbasi, Mohammadreza Sanaei,
Volume 21, Issue 4 (1-2023)
Abstract
Background and Objectives
In recent years, medicine supply chain management has become more significant, especially after the Covid-19 pandemic. The most important issue is supply chain cost control. If the drug inventory is not properly managed, it will lead to issues such as the lack of inventory of certain drugs, provision of excess inventory, increased costs, and, finally, patient dissatisfaction.
Materials and Methods
In this study, an attempt has been made to predict and manage the pharmaceutical needs of hospitals using an efficient deep-learning algorithm. The drug consumption data for ten years of Besat General Hospital in Hamedan are extracted from the HIS database. As a case study, the accuracy of the predictive model is evaluated, especially for cefazolin. We use a deep model to analyze the medical time-series data efficiently. This model consists of a Long Short-Term Memory network, which can sufficiently recognize the change history in time-series prediction applications. The proposed model with many adjustable parameters in the deep architecture will bring good performance to overcome the complexities of the learning problem.
Results
Using the deep learning method can increase robustness by reducing the effects of complexity and uncertainty in medical data. The average forecasting error for the proposed method is 0.043, and the measured values for RMSE, MAE, and R2 are 0.335, 0.260, and 0.851, respectively.
Conclusion
A comprehensive comparison between some other predictive methods and the implemented model shows the outperformance of the proposed approach. Additionally, the evaluation results indicate the efficiency of the proposed approach.
Hossein Rahimi Klour, Seyed Ali Naghavi,
Volume 22, Issue 1 (5-2023)
Abstract
Background and objective: As a critical factor for hospital effectiveness, agility uncovers the way such organizations react to internal and external changes. From this perspective, the present study was to design an agent-based model to simulate organizational agility development in the hospitals of Ardabil Province, Iran, in view of the effective factors.
Materials & Methods: Utilizing an exploratory, mixed-methods research design, this study was performed in accordance with inductive-deductive reasoning. For this purpose, the samples included 10 theoretical and experimental experts, selected by purposive sampling of the non-probability type. As well, the data collection tools were interviews and questionnaires. During the qualitative phase, the main factors affecting organizational agility were initially isolated using thematic analysis. Afterward, the given factors were prioritized with the fuzzy Delphi method in the quantitative phase. Ultimately, the model for organizational agility development was simulated through the agent-based approach.
Results: With reference to the study results, 50 primary codes, 15 sub-themes, and 5 main themes were identified, and then “influence in management” was acknowledged as the most significant one shaping organizational agility. Besides, the simulation outputs demonstrated that the proposed model could provide the right estimate of the future of organizational agility development in the hospitals of Ardabil Province, Iran.
Conclusion: Along with the study results, hospital managers are suggested to reflect on the effective factors identified here to better fulfill organizational agility development.
Omid Mazlumi, Mehraban Parsamehr, Akbar Zare-Shahabadi,
Volume 22, Issue 1 (5-2023)
Abstract
Background: Cancer is often stigmatized in many societies and this has unfortunate consequences for sufferers. The aim of this research was to know the factors related to the social stigma of cancer.
Materials and Methods: The research method was correlation-analytical, and the sampling method was multi-stage cluster. Data were collected using CSI and CAM standard questionnaires.The statistical population included three categories of ordinary citizens, medical staff, and companions of patients in Tehran; Using Cochran's formula, the sample size was 384, 201, 384 people, respectively. In order to fit the model and measure the relationships between the variables, the method of structural equation modeling was used in the form of AMOS software.
Findings: Goodness of fit indices (chi-square/df=2.851, Rmsea=0.08, Cfi=0.945) all indicated the appropriate fit of the model. Except for the variable of inequality in treatment, other independent variables had a significant relationship with stigma. The r2 explanatory coefficient showed that the variables of habitus, optimism, cancer awareness, religiosity, social support, and social capital together predicted 48% of stigma changes. Habitus and social support with standard coefficients (beta) of 0.48 and -0.28 had the highest and lowest contribution in explaining stigma, respectively. Based on the mean difference test, the amount of stigma among ordinary people was more than the other two groups.
Conclusion: Awareness of different aspects of cancer disease (such as symptoms, causative factors), removing false stereotypes about cancer (such as cancer means death), constant communication with cancer patients, and receiving the necessary social support from various sources, were the most important tools necessary to reduce the stigma of cancer.
Fatemeh Sadat Vahabzadeh Moghadam, Ahmad Vedadi, Karam Allah Daneshfard,
Volume 23, Issue 3 (11-2024)
Abstract
Background and purpose: A fearless organization fosters psychological safety, ensuring that every member feels secure to express concerns, ask questions, or share mistakes without fear of humiliation, ridicule, or punishment. This research aims to introduce the Fearless Organization Model in Iran's healthcare sector, with a focus on the Ta’amin Ejtemaie hospitals.
Methods: This research employs a mixed-methods approach. In the qualitative phase, methods such as meta-synthesis, expert Delphi, and Shannon’s entropy were used to identify the components of a fearless organization. The quantitative phase involved structural equation modeling (using surveys distributed among the staff of Ta’amin Ejtemaie hospitals in Tehran) to validate the research model.
Results: The Fearless Organization Model consists of two main dimensions: “Behavioral” and “Structural.” The behavioral dimension includes "managers' behavioral components" and "employees' behavioral components." The structural dimension includes "organizational components," "human resource components," and "environmental components." Key characteristics of a fearless organization include: creating psychological security, openness, transparency, accountability, humble listening, quick employee feedback, learning from mistakes, encouraging knowledge sharing, avoiding silence, and promoting open communication. Effective response systems and coherent organizational structures for extracting ideas and concerns, as well as fostering a supportive culture, are essential.
Conclusion: The findings of this study emphasize the importance of addressing both behavioral and structural dimensions in creating a fearless organization. However, the behavioral dimension plays a more significant role than the structural one. Within the behavioral dimensions, "employee behavior" is the most crucial factor. Managers should focus on cultivating behaviors that promote security and openness within the organization. This research can serve as a foundation for further studies on the drivers and barriers to establishing fearless organizations in different contexts.
Mehdi Hosseini, Ahad Norouzzadeh, Fatemeh Hosseini,
Volume 23, Issue 4 (2-2025)
Abstract
Background and purpose: The integration of digital technologies—computer-based systems, devices, and methods—is transforming organizational activities within the healthcare sector. However, research on the adoption of these technologies in healthcare remains limited, with a predominant focus on structural rather than behavioral factors. As the successful implementation of technology ultimately depends on the workforce, behavioral aspects play a decisive role. Therefore, this study aims to identify the principal behavioral barriers to the adoption of digital technologies in the healthcare sector.
Methods: This applied research utilized a three-stage survey methodology. The stages included: (1) identifying the most significant behavioral barriers to digital technology adoption through a literature review and expert opinions; (2) developing a hierarchical model of these barriers using Interpretive Structural Modeling (ISM); and (3) testing the hypotheses derived from the model with a sample of 302 healthcare professionals.
Results: The ISM model identified a hierarchy of six key behavioral barriers: lack of digital literacy, low perceived value, high perceived risk, negative attitude, resistance to change, and ultimately, non-adoption of digital technology. Based on this model, six research hypotheses were formulated. Regression analysis was conducted to test these hypotheses, and the results indicated that all six were statistically supported.
Conclusion: The findings establish that a lack of digital literacy is the most fundamental barrier to digital technology adoption in the healthcare sector. To address this primary obstacle, the study recommends targeted interventions, such as conducting national assessments of digital literacy levels among healthcare staff and implementing tailored training programs to enhance their technological competencies.
Mahmoud Zivari Rahman, Javad Siahmoshtei, Niloofar Mikaeili,
Volume 24, Issue 2 (9-2025)
Abstract
Background and purpose: Early Maladaptive Schemas (EMSs) are pervasive cognitive patterns that can detrimentally affect the well-being of individuals with chronic illnesses. This study aimed to investigate the structural relationship between EMSs and Health-Related Quality of Life (HRQoL) in cancer patients, with a specific focus on the mediating role of health literacy.
Methods: This descriptive-analytical study utilized a correlational design based on Structural Equation Modeling (SEM). The statistical population comprised all cancer patients aged 20 to 60 years referring to private oncology centers in [City Name] in 2025. A total of 665 participants were recruited using convenience sampling. Data were collected using the Young Schema Questionnaire (YSQ), the Health Literacy for Iranian Adults (HELIA) questionnaire, and the Health-Related Quality of Life questionnaire. Data analysis was performed using SPSS (v.25) and AMOS (v.24) software, with the significance level set at 0.05.
Results: The path analysis revealed that EMSs had a significant direct negative effect on both health literacy (β =-0.85, P< 0.001) and HRQoL (β= -0.56, P<0.001). Conversely, health literacy showed a significant positive effect on HRQoL (β=0.51, P<0.001). Furthermore, health literacy significantly mediated the relationship between EMSs and HRQoL (β=0.26,P<0.001). The goodness-of-fit indices confirmed the model's optimal fit (X2/Df = 3.94, GFI = 0.913, IFI = 0.903, CFI = 0.901, RMSEA = 0.067)
Conclusion: The findings suggest that Early Maladaptive Schemas significantly compromise the quality of life in cancer patients. However, health literacy acts as a protective buffer, mediating this negative impact. Therefore, interventions aimed at enhancing health literacy could be an effective strategy to mitigate the adverse effects of maladaptive schemas and improve the HRQoL of cancer patients.
Sepideh Masoud Sinaki, Akbar Hassanpoor, Vajhollah Ghorbanizadeh,
Volume 24, Issue 2 (9-2025)
Abstract
Background and purpose: Collaborative Human Resource Management (CHRM) is pivotal for enhancing organizational synergy. This study aimed to validate a CHRM model in the healthcare sector to demonstrate its capacity to institutionalize collaboration, thereby improving team efficiency, healthcare service quality, and team satisfaction.
Methods: This applied, quantitative study was conducted in early 2025. The statistical population comprised 550 administrative staff members at Tehran University of Medical Sciences. A sample size of 225 was determined using Krejcie and Morgan’s table. Data were collected using a researcher-developed questionnaire based on the CHRM model, encompassing six main dimensions (core components, causal factors, contextual factors, outcomes, intervening conditions, and strategies) and 16 subcategories. The reliability of the instrument was confirmed with Cronbach's alpha coefficients exceeding 0.78. Data analysis involved Exploratory Factor Analysis (EFA) using SPSS software and Confirmatory Factor Analysis (CFA) via Structural Equation Modeling (SEM) in SmartPLS software.
Results: The model indicators were analyzed across six sections. The Goodness of Fit (GOF) index was calculated at 0.506, indicating a strong and favorable fit for the model. Furthermore, significant correlations were observed among all model components, including causal factors, intervening conditions, contextual factors, the core phenomenon, strategies, and outcomes.
Conclusion: The findings confirm the validity of the Collaborative Human Resource Management model. Implementing this framework is anticipated to significantly enhance organizational efficiency and effectiveness within the university context.
