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Jundishapur J Health Sci

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Compilation and Analysis of Driving Factors for Future Compatible Scenarios of Social Security Services in the Framework of Macroeconomic Variables

Author(s):
Fatemeh KaramiFatemeh Karami1, Foad MakvandiFoad MakvandiFoad Makvandi ORCID1,*, Mohammad TamimiMohammad Tamimi2, Mohammad HematiMohammad Hemati3, Mojtaba RajabbaigyMojtaba Rajabbaigy4
1Department of Public Administration, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran
2Department of Management, Dezfol Branch, Islamic Azad University, Dezfol, Iran
3Department of Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran
4Institute for International Energy Studies, Research Centre for Strategic and Technology Studies, Tehran, Iran

Jundishapur Journal of Health Sciences:Vol. 17, issue 2; e148324
Published online:Jun 07, 2025
Article type:Research Article
Received:May 05, 2024
Accepted:May 13, 2025
How to Cite:Karami F, Makvandi F, Tamimi M, Hemati M, Rajabbaigy M, Compilation and Analysis of Driving Factors for Future Compatible Scenarios of Social Security Services in the Framework of Macroeconomic Variables.Jundishapur J Health Sci.2025;17(2):e148324.https://doi.org/10.5812/jjhs-148324.

Abstract

Background:

One important duty of every government is to provide social security services to society's members; these services can be affected by variables such as economic and social factors.

Objectives:

This study was designed to provide an image of social security services in the future using the future research approach and relying on macroeconomic variables based on scenarios.

Methods:

This research was applied in nature, adopting a mixed-methods approach (qualitative and quantitative), grounded in foresight methodology, and conducted at an exploratory level. Scenario-driving variables — those that have occurred in the past or are currently observable and influence the future of social security services — were screened and identified through a comprehensive literature review and the fuzzy Delphi method. This process was conducted using experts' opinions (university faculty members and social security organization managers with relevant knowledge, experience, and interest in research in this area). Next, the impact and effectiveness of each variable were determined using MicMac analysis. Finally, balanced interaction analysis was applied using the Scenario Wizard software to develop scenarios.

Results:

Twenty-four relevant studies were identified and reviewed by experts. Twenty-four indicators in four dimensions were identified. Nine indicators or driving factors were extracted, including receipt of government claims, domestic and foreign investment, proportionality of wages with inflation, proportionality of tariffs with the inflation rate, direct and indirect treatment costs, attrition rate, proportionality of pensions, disability rate, and unemployment rate. Subsequently, three possible scenarios were developed as the final output of the research.

Conclusions:

Scenario analysis showed that the overall trend is relatively favorable for the future of social security services. Therefore, it is recommended that the country's Social Security Organization take necessary action to realize, maintain, and promote the predicted favorable scenarios by adopting appropriate measures and strategies, taking into account the driving variables identified in the research.

1. Background

Looking at futures studies in various countries, it is evident that the outputs of these projects have directed the future paths of economies, societies, environments, science, and technology, explaining alternative futures using scientific methods (1). Future research systematically examines the long-term prospects in knowledge, technology, economy, environment, and society, aiming to identify emerging technologies and prioritize future critical areas (2, 3). Over the past five decades, future studies have evolved from predicting the future to mapping alternative futures and shaping desirable outcomes, addressing both collective societal dimensions and individual inner levels (4).

Social security refers to the benefits that society provides to individuals and households through public and collective measures. These benefits are designed to ensure a minimum living standard and protect people from risks and challenges that can lead to lower living standards and unmet basic needs (5, 6). The social security system must utilize appropriate tools to cover various generations and ensure sufficient financial resources to meet the promised benefits. Each sector or sub-system within the social security system must operate effectively and efficiently to achieve the system's primary goals (7, 8). Social security expansion can significantly reduce economic inequalities and provide better welfare, particularly during retirement or disability (9).

Recognizing the interdependence of economic growth and social security necessitates stable coordination between macroeconomic policies and social security programs. This coordination ensures that the foundation for increasing production activities, efficiency, and overall economic effectiveness is established as social welfare expands (10). It is important to note that the double-bind dependence of economic growth and social security requires stable coordination between macroeconomic policies and social security programs so that the basis for increasing production activities, efficiency, and economic growth can be provided with the expansion of social welfare (11). Many governments struggle to provide their citizens with retirement income as the global population ages (12).

The country's government has proposed ensuring stability in the future; developing such scenarios with the help of experts during economic sanctions and continuous changes in macro variables can help bridge the gap between current realities and the future of this organization. According to the official statistics of the Organization's Economic and Social Computing Center in 2018, there has been an 8-fold increase in the number of insured individuals, while the number of pensioners has increased 19-fold. This disparity is causing significant challenges for the organization's resources (13). The support ratio of the Social Security organization, reflecting the number of insured individuals compared to pensioners, was 6.77 in 2006 and decreased to 4.67 by the second half of 2018 (14). This means that the existence of new problems in the field of social security services and the lack of possible scenarios in the future can cause serious crises in balancing the country's economy.

Most studies in Iran have been conducted in the fields of occupational medicine, occupational health, industrial health, medicine, occupational health engineering, safety engineering, and epidemiology, with very few studies conducted in the field of social sciences (15).

2. Objectives

This study aimed to identify future scenarios for social security services and select the most appropriate one to address theoretical and practical gaps and increase the effectiveness of these services in responding to social needs. The main research question that guided this study was: What potential scenarios will shape the future of social security services in light of significant changes in macroeconomic variables?

3. Methods

3.1. Study Design and Setting

This applied research, using a mixed-method (qualitative-quantitative) approach, was designed and implemented in three stages in 2023 in Khuzestan province to develop possible scenarios for the future of the country's social security services.

3.2. Literature Review of the Subject

This study employed theoretical models, followed by a review of studies related to future studies in social security services. Electronic databases, including Scopus, Emerald, PubMed, libraries, and reliable scientific sources, were searched for relevant studies. This search aimed to obtain a comprehensive understanding of the components affecting the social security organization (Figure 1).

Diagram of the review process
Figure 1.

Diagram of the review process

3.3. Fuzzy Delphi

In this step, after identifying 38 criteria and indicators for developing research scenarios, a decision-making group consisting of relevant experts (university faculty members, managers, and experts of the Social Security Organization) was purposefully formed based on criteria such as knowledge, applicable experience, and interest in participating in this study (Table 1). Subsequently, questionnaires were sent to them to screen and identify indicators related to the main topic of the study. Linguistic variables, as shown in Table 2, were used to express the importance of each indicator.

Table 1.Sociodemographic Characteristics of Participants
JobExpertiseDegreeNo.
1. Academic staffManagement of healthcare servicesPh.D.6
2. Social security organization of Khuzestan provinceManagementPh.D.7
3. Internal manager of the hospitalHealth professionalPh.D.2
4. Internal manager of the hospitalManagementMSc5

Sociodemographic Characteristics of Participants

Table 2.Linguistic Expressions and Fuzzy Delphi Numbers
Trigonometric Fuzzy NumbersLinguistic Expressions
0, 0, 0.25Very little
0, 0.25, 0.5Low
0.25, 0.5, 0.75Medium
0.5, 0.75, 1A lot
0.75, 1, 1Very much

Linguistic Expressions and Fuzzy Delphi Numbers

In this study, triangular fuzzy numbers were utilized. The acquired value of each index was compared with the threshold value, which was set at 0.7 in this study (16). After two rounds of the Delphi process, the mean difference between the two consecutive rounds of fuzzy Delphi was estimated to be less than 0.1, indicating a low consensus among experts and marking the end of the fuzzy Delphi process. Ultimately, four dimensions and 24 relevant indicators (variables) were screened and identified (Table 3). Twenty academic experts, including managers and experts from the Social Security Organization of Khuzestan Province, were recruited. Participants were selected using the purposive sampling method based on relevant knowledge, work experience, and interest in participating in the research (Table 1).

Table 3.The Results of the Second Round of Fuzzy Delphi
Indicators and VariablesFuzzy AverageDefinite AverageDefinite AverageDifference
Inflation
Income from donations and gifts0.8380.3500.6000.5960.5960
Domestic and foreign investment0.9250.4880.7380.7170.7170
Income of funds, reserves, and property of the organization0.9500.5880.8380.7920.7920
Income from crimes and damages0.8130.3630.6000.5920.5920
Insurance premium income0.9750.5750.8250.7920.7920
Inflationary expectation0.9250.4880.7370.7170.7170
Direct medical expenses0.9130.4130.6330.6630.6630
Tariff proportionality0.9500.5130.7630.7420.7420
Employment
The unemployment rate of the active population10.6500.9000.8500.8500
Birth rate0.8630.3630.6130.6130.6130
Death rate0.8000.3000.5500.5500.5500
Retirement age0.8630.3630.6130.6130.6130
Disability rate0.8630.3630.6130.6130.6130
Dropout rate0.8750.3880.6380.6330.6330
Marriage rate0.8750.3880.6380.6330.6330
Takaful rate0.8750.3880.6380.6330.6330
Liquidity
Pension proportionality0.9130.4130.6630.6630.6630
Collection of government claims0.9500.5130.7630.7420.7420
Sustainability of funds resources and expenses0.8000.3000.5500.5500.5500
Wage rate and pension0.9500.5130.7630.7420.7420
Economic growth
Exchange rate0.9250.4880.7380.7170.7170
Active population rate0.9500.5130.7630.7420.7420
Interest rate0.9250.4880.7380.7170.7170
Life expectancy0.8630.3630.6130.6130.6130

The Results of the Second Round of Fuzzy Delphi

3.4. MicMac Analysis

In our study, the interaction questionnaire was initially designed using MicMac analysis, a subset of interpretive structural modeling (ISM) techniques, to measure the interaction of indicators (in terms of influence and effectiveness) on each other (Table 3). Subsequently, experts evaluated the questionnaire by weighting the interactions through pairwise comparisons and assessing the correlation of variables with numbers between 0 and 3 (Figure 2).

The influence and direct effectiveness of the components affecting social security services
Figure 2.

The influence and direct effectiveness of the components affecting social security services

Next, the questionnaires were averaged and entered into the MicMac software as an Excel file. Subsequently, different possible situations were considered for each key factor (Table 4).

Table 4.The Amount of Direct Effects of the Variables
VariablesImpact RateEffective Ness Rate
Income from donations and gifts3737
Domestic and foreign investment3238
Income of funds, reserves, and property of the organization2942
Income from crimes and damages3645
Insurance premium income3840
Inflationary expectation3433
Direct medical expenses3438
Tariff proportionality4534
The unemployment rate of the active population4533
Birth rate4528
Death rate4134
Retirement age4139
Disability rate3535
Dropout rate3434
Marriage rate3132
Takaful rate3333
Pension proportionality3025
Collection of government claims2828
Sustainability of funds resources and expenses2528
Wage rate and pension2527
Exchange rate2526
Active population rate2632
Interest rate3034
Life expectancy3033
Total550550

The Amount of Direct Effects of the Variables

3.5. Scenario Wizard

At this stage, the questionnaires were averaged and entered into the MicMac software as an Excel file. Next, different possible situations were considered for each key factor, and mutual effects were designed as a questionnaire. Finally, the possible situations of the driving forces for social security services were determined (Table 5). The questionnaire was tested and analyzed, and potential scenarios were extracted using the Scenario Wizard software (Table 6). Experts confirmed the content validity of the Delphi Questionnaire. The value of Cronbach's alpha was 0.75, indicating the questionnaire's good reliability (Figure 3).

Table 5.Probable Situations of Driving Factors for Social Security Services
Key Factors and Nick NamesSubcomponents
Collecting debts
C
C1Increasing the collection of social security claims from the government through debt settlement and etc.
C2Ignoring the collection of social security claims from the government
Domestic and foreign investment
I
I1Increasing the amount of domestic and foreign investment
I2Lack of belief and attention to the officials in the importance of investment
Adjusting wages to inflation
W
W1Adaptation
W2Relative proportionality
W3Ignoring proportionality of salary and pension
Adjusting tariffs to inflation
T
T1Disproportionation (reduction of the tariff rate compared to the inflation rate)
T2Proportion of tariff rate with inflation rate
Health care cost
H
H1Reducing the growth rate of direct medical expenses
H2growth rate agreement
H3Increase in direct medical expenses
Failure rate
F
F1Reducing the rate of disability by increasing safety and security in the work environment by compiling and monitoring, implementing and following instructions
F2 Increasing the rate of disability by adopting a policy of ignoring or indifference to safety and security in the workplace
Pension proportionality
P
P1Disproportionality (tariff increase rate being lower than inflation)
P2Proportion (equal to the rate of tariffs with inflation)
Dependency burden
D
D1Reducing the overhead rate (burden)
D2Stopping the burdensome service process (burden)
D3Increase in overhead rate (burden)
Unemployment
U
U1Reducing the unemployment rate
U2No change in growth rate
U3Increase in unemployment rate

Probable Situations of Driving Factors for Social Security Services

Table 6.Possible Status of Strong Scenarios Extracted from the Scenario Wizard Software
Subcomponents ScenarioCollecting DebtsDomestic and Foreign InvestmentAdjusting Wages to InflationAdjusting Tariffs to InflationHealth Care CostFailure RateDependency BurdenPension ProportionalityUnemployment Rate
Scenario (1)Increasing the collection of government claimsIncreasing the amount of domestic and foreign investmentInadequacy of salaries and wagesTariffs not proportional to inflationStopping the growth rate of medical expensesIncreased rate of failureReducing the rate of burdenNon-adjustment of pension with inflationMaintain the status quo
Scenario (2)Increasing the collection of government claimsReduction of domestic and foreign investmentRelative proportionality of salaries and wagesAdjusting tariffs to inflationIncrease in the growth rate of medical expensesReduce the rate of failureReducing the rate of burdenNon-adjustment of pension with inflationMaintain the status quo
Scenario (3)Reducing the collection of social security claims by officialsReduction of domestic and foreign investmentRelative proportionality of salaries and wagesTariffs not proportional to inflationReducing the growth rate of medical expensesIncreased rate of failureStop increasing the takaful rateNon-adjustment of pension with inflationIncrease in the growth rate of unemployment

Possible Status of Strong Scenarios Extracted from the Scenario Wizard Software

Research implementation method
Figure 3.

Research implementation method

4. Results

4.1. Sociodemographic Characteristics of Participants

The sociodemographic characteristics of the panel of experts are represented in Table 1.

4.2. Fuzzy Delphi Results

After examining the opinions of experts using the fuzzy Delphi process, four indicators (inflation, employment, liquidity, and economic growth) and 24 variables were identified (Table 3).

4.3. MicMac Software

Based on primary macroeconomic variables, the Delphi method identified 24 variables in four dimensions as effective factors in the state of social security services. These variables were analyzed using the mutual or structural effects analysis method with MicMac software to extract the main factors affecting the future state of the studied environment (Table 4).

4.3.1. Key Effective Factors in Social Security Services

Among the 24 factors examined in this study, nine factors were extracted according to the purpose of the research. These two-faceted variables, which have high influence and effectiveness, were identified as key variables and drivers of social security services (Table 7).

Table 7.Key Influencing Drivers (Direct and Indirect)
VariablesImpact RatingEffective Ness Rating
Wage adjustment92
Collection of government claims84
Domestic and foreign investment312
Pension proportionality513
Health care cost45
Adjusting tariffs to inflation66
Failure rate710
The unemployment rate119
Employment1011

Key Influencing Drivers (Direct and Indirect)

4.3.2. The Results of the Possible Situations of Social Security Service Drivers

After identifying possible situations, the 22 × 22 balanced mutual effects matrix questionnaire was designed and provided to the experts (Table 5).

4.4. Results of Possible Scenarios

Table 6 shows the components of the three strong scenarios. After entering the driving variables into the Scenario Wizard software, 11 possible scenarios were finally obtained, including three strong scenarios with high compatibility and eight weak scenarios. Due to the difficulty and time-consuming nature of the analysis, the weak scenarios were removed from further consideration.

5. Discussion

This study aimed to explore the impact of economic factors on social security services and to identify potential future scenarios. In recent years, demands from social security organizations on the government — one of the key drivers in shaping possible scenarios in this area — have increased significantly. If this trend continues, it may lead to numerous challenges for social security organizations and their services. Solutions such as converting debts into stocks and issuing Islamic treasury documents are viable non-inflationary options to address these issues. A study by Soleimany et al. also highlighted this issue, focusing more on the demands of the health and treatment sector (17).

As one of the most important macroeconomic variables, domestic and foreign investment is influenced by several factors, including monetary, financial, political, and structural variables. In our study, experts recommended several solutions, such as involving insurers in mudaraba investments, planning to reduce interest rates, and coordinating complementary monetary and financial policies to decrease bank profits while increasing productive investments. They also emphasized the need to boost both domestic and foreign investment. A study by Behrouzi et al. highlighted various obstacles and challenges in the investment landscape (18).

Indexing pensions with inflation is mostly done systematically and automatically in different countries. Providing additional benefits such as housing, child, family, and livelihood allowances can significantly increase pensioners' purchasing power. By establishing consumer and housing cooperatives for pensioners and preventing additional financial burdens on the Social Security fund, Social Security organizations can effectively coordinate pension increases with the current inflation rate. Previous studies conducted in Iran have considered this approach; however, they have mainly focused on the advantages, disadvantages, and obstacles of pension indexation (19-21).

The factor of disability as another driver was pointed out by the experts, along with solutions. Some solutions to deal with disability included establishing a connection between job and disability, revising the percentage of disability according to the insured job, amending the unemployment insurance law, and forming an unemployment fund (non-contributory), etc. Adibnia and Montazeri et al. examined this driver and the factors affecting it (22, 23).

In our country, although there have long been attempts to determine the tariffs for healthcare services (diagnostic and therapeutic services) through government supervision and interaction between the supply and demand sides of these services, the tariff-setting mechanism and the tariffs determined have always been criticized by stakeholders in the health system. Tariff rate adjustment, as another driving indicator in the scenarios developed for the future of social security services, can be done by determining the scale of relative value based on resources, reducing the relative value of inappropriate behavior (liability insurance, fines, etc.), setting prices based on agreements between buyers and providers, and pricing based on operating costs.

To effectively reduce unemployment, it is essential to adopt new technologies in the workplace, support knowledge-based companies in producing high-value-added products, develop innovative policies, and assist small, rapidly growing enterprises and home-based businesses. Finally, it should be noted that, despite the country's economic instability and the occurrence of numerous shocks to the social security system, the calculated scenarios should continually be monitored and, if necessary, corrected.

5.1. Limitations and Strengths

Our study has strengths and limitations that deserve mention. The main strength of our study was the combination of techniques used, such as Fuzzy Delphi, MicMac, and writing techniques. Additionally, experts who were knowledgeable in the subject were recruited, ensuring a high level of expertise in the analysis. The economic modifier variables, considered the most critical players in providing social security services, were also thoroughly surveyed.

However, our study also has limitations. The primary limitation was the challenge of identifying and coordinating the experts in compiling drivers and indicators. This coordination was essential for ensuring comprehensive and accurate scenario development.

5.2. Conclusions

Our results revealed 11 possible scenarios, comprising three potential scenarios with high compatibility and eight weak scenarios. Each scenario includes two sets of variables: Income and cost, which are similar. Therefore, adopting appropriate measures and strategies can significantly impact the efficiency and sustainability of social security services. These strategies include offering various types of financial settlement mechanisms with other service organizations, converting debts into shares, engaging insured individuals in investment activities, reforming the patient referral system in affiliated hospitals, developing consumer and housing cooperatives for the insured, creating unemployment funds for individuals with disabilities, organizing more structured labor markets, reducing the relative weight of ineffective treatments, and supporting knowledge-based enterprises. Implementing these strategies can reduce the costs associated with delivering social security services and enhance the net income of the social security organization.

Acknowledgments

Footnotes

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