Pa ge 1 Pa ge 24 American Journal of Financial Technology and Innovation (AJFTI) The Impact of Drug Pricing and Insurance Coverage on Medication Adherence in Saudi Turki M. Alsagoor1* Volume 1 Issue 1, Year 2023 https://journals.e-palli.com/home/index.php/ajfti Article Information ABSTRACT Received: October 05, 2023 Accepted: November 01, 2023 Published: November 08, 2023 This study explores the complex interactions in Saudi Arabia between medicine costs, insurance coverage, and medication adherence. 250 individuals’ data were analysed, and significant relationships were found. With a significant coefficient of -0.773 (p = 0.006), high medicine prices were shown to be a significant barrier to medication adherence. On the other hand, complete insurance protection showed a favorable connection with adherence, highlighting its crucial function. The fact that 69% of the participants had health coverage and 31% did not highlights a sizable insurance gap. Males comprised 80% of the sample, 62% of respondents were in the 29–39 age range, and 56% had bachelor’s degrees. The income range showed that 43% made more than 20,000 SAR monthly. The significant effects of medicine cost and insurance coverage on medication adherence were highlighted by regression analysis (Beta = -0.749, p = 0.001, and 0.759, p = 0.006, respectively). These results highlight the criticality of addressing the affordability of prescription costs and advocating for open insurance programmes to improve healthcare outcomes in Saudi Arabia. Prioritising actions can help reduce costs and provide comprehensive coverage, say policymakers. This study emphasises the need for more research to dive further into the intricacies of healthcare accessibility, particularly in a healthcare environment that is continually expanding. Keywords Medical Adherence, Drug Pricing, Insurance Coverage, Medical Insurance, Medicine Cost INTRODUCTION Pharmaceutical pricing is a complex process considering profit margins, manufacturing costs, and costs associated with research and development (Schlander et al., 2021). Pharmaceutical firms, wholesalers, distributors, pharmacies, insurance companies, and public healthcare programs are a few of the many parties involved in this complex process, substantially impacting patients’ access to pharmaceuticals (Wong et al., 2023). Due to this, the challenge of high drug prices becomes even more daunting due to the scarcity of essential affordability for patients (Adebisi et al., 2022). The expensive cost of medication can create barriers, causing individuals to stop taking their prescribed drugs, resulting in detrimental health problems (Ding et al., 2022). Furthermore, between medication acquisition and fulfilling other essential requirements, such as housing, sustenance, or utilities, patients may be forced to make arduous decisions due to monetary constraints (Malecha et al., 2018). Consequences of treatment failure may lead to individuals resorting to reduced doses, missed doses, or treatment discontinuation, resulting in non-adherence. Non-compliance with treatment guidelines can lead to costlier care and a greater chance of developing complications, according to (Emadi et al., 2022). Emadi et al. (2022) state that the interplay between drug pricing and insurance coverage profoundly affects MA, touching numerous parties, including individuals, healthcare providers, and society. Extending it further Frieden et al.,(2019) has highlighted that due to the combination of mounting drug prices and suboptimal insurance coverage, MA reduction can lead to adverse impacts on patient health and the larger healthcare system (Emadi et al., 2022; Frieden et al., 2019). High prescription drug prices are prominent in countries with market-based healthcare systems, such as the United States (Patel et al., 2018). These soaring prices result from research and development expenses, regulatory clearance costs, pricing strategies employed by pharmaceutical companies, and limited negotiation leverage held by payers (Bhide, 2022). According to González Vera et al.’s (2022) findings, patients frequently struggle with adherence due to financial burdens (González Vera et al., 2022). By covering the cost of prescription medications, insurance plays a critical role in reducing the financial strain. Comprehensive insurance plans enhance medication adherence, and lower out-of-pocket costs are made possible (Reynolds et al., 2020). Wide variation exists in insurance coverage, leaving room for confusion and frustration. According to Meng et al. (2015) and Yang et al. (2020), such measures as prior authorisation and step therapy create challenges to accessing vital medications (Meng et al., 2015; Yang et al., 2020). All stakeholders, including patients, healthcare providers, insurance companies, and policymakers, must join forces to find practical solutions for complex challenges (Bali & Ramesh, 2023). Measures to advance price transparency, boost competition in the pharmaceutical sector, and control prescription pricing can be undertaken by policymakers (Ahmad et al., 2020). Mandating prescription drug coverage by insurance providers could increase patient compliance rates. Saudi Arabia’s study aims to investigate the effect of drug pricing and insurance coverage on medication adherence (MA) (AlQarni et al., 2019). High 1 Saudi Food and Drug Authority, Saudi Arabia * Corresponding author’s e-mail: tmsagoor@sfda.gov.sa Pa ge 25 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 medicine costs and subpar insurance protection in light of the increasing frequency of persistent non-communicable disorders impact patient compliance with medication (Dias, 2023). By examining the interplay of drug pricing, insurance coverage, and MA in Saudi Arabia, the research will identify evidence-based approaches to strengthen medication affordability, coverage, and adherence. As they relate to public health, these findings offer significant improvement opportunities, cost containment, and access enhancements, thus contributing positively to society. LITERATURE REVIEW Across the globe, there has been an increase in research on drug pricing, insurance, and medication adherence (MA) in recent times. Diving deeper into the intricacies of the issue, Manna et al (2020) has highlighted a significant need to shed light on its implications for public health outcomes. The study has further emphasised examining the relationship between drug pricing, insurance coverage, and MA in Saudi Arabia, as well as evidence-based solutions that can be applied to address these challenges (Manna et al., 2020). A Complexity in Drug Pricing and Insurance Characterises: The Current Setup In Saudi Arabia and numerous other nations, drug pricing is an intricate process influenced by multiple factors (Almutairi et al., 2023). Pharmaceutical companies et al., play a part in deciding how much patients or their insurance providers ultimately pay in the end. Per IQVIA (2021), Saudi Arabia’s pharmaceutical market, valued at $7.23 billion in 2021, is poised for significant growth in the forthcoming year. As cited by Yang eta al, (2020), the above factors contribute to the growth seen here. Examining the current drug pricing schemes is essential since they directly impact the Saudi healthcare system (Yang et al., 2020). Patients in Saudi Arabia may face drug cost increases due to poorly designed pricing structures. Ding et al. (2022), has highlighted that with high medication costs, individuals may need help prioritising necessities or their medications. The Ministry of Health of Saudi Arabia (2020) notes that approximately 60% of pharmaceutical spending in Saudi Arabia was financed through direct patient payments(Ministry of Health & Saudi Arabia, (2017). Due to this alarming statistic, the population’s access to affordable medication is imperative. Distinct policies offer varied levels of coverage when it comes to insurance in Saudi Arabia (Albugmi, 2021). Depending on the plan, some insurance policies may cover drugs comprehensively, while others may levy high co-payments and deductibles upon patients (Meng et al., 2015). A SAMA study found that in 2021, only 24% of the population had health insurance coverage, indicating restricted access to coverage. Insurance coverage disparities substantially hinder all demographic groups’ access to essential medications (Adebisi et al., 2022). Relationship between Drug Pricing and Insurance and its Impact on Medical Adherence The effect of prescription drug pricing and insurance coverage is substantial in Saudi Arabia’s changing healthcare landscape. Patients’ capacity to follow their prescribed medicine regimens depends largely on their financial situation (Emadi et al., 2022). Evidence supports that medication prices, insurance coverage, and adherence are connected, such as the study by Smith et al., (2019), stresses that patients who experienced financial constraints due to limited insurance coverage had lower medication adherence (Smith et al., 2019). Lifestyle factors and socio-economic changes have caused a notable increase in the prevalence of chronic non-communicable diseases such as diabetes and cardiovascular diseases in Saudi Arabia (Al-Hanawi & Keetile, 2021), . Managing diseases via medication makes non-adherence a critical problem. Mohiuddin, (2019) found that approximately 60% of patients with chronic conditions in Saudi Arabia fail to comply with medical regimens. The study has also noted Adverse effects are experienced at both the personal and communal levels due to medication adherence (Mohiuddin, 2019). Emadi et al. (2022) highlight that individuals may suffer from uncontrolled disease progression, resulting in higher morbidity and mortality rates (Emadi et al., 2022). According to Anderson et al. the potential for preventable hospitalisations and complications has significant consequences at the societal level (Anderson et al., 2020). Approximately 13.5 billion Saudi Riyals ($3.6 billion) more was added by non-adherence to medical therapies, as reported by Saudi Aramco, (2023). These statistics showcase, non-adherence in the Saudi healthcare ecosystem demands immediate attention (Aramco, 2023). Evidence-Based Approaches for Enhancing Medical Adherence Evidence-based methods are essential to promote adherence among the Saudi population, and understanding how drug pricing and coverage contribute to this is vital. Value-Based Pricing Models Gaining Favor, value-based pricing models now prioritise drug price alignment with therapeutic value. according to Stecker et al. (2015), determining the cost of a medication involves considering factors including efficacy, safety, and alternative treatments (Stecker et al., 2015). Alignment with their benefits and subsequent cost reduction is what patients may see by implementing value-based pricing in Saudi Arabia. Increasing Price Transparency In addition to other factors, price transparency is vital in controlling medication costs. Transparency in pricing assures decision-making across all groups for medication choices and coverage (Godman et al., 2021). Saudi Arabia’s increased price openness paves the way for pharmaceutical company competition, resulting in more affordable drugs. Pa ge 26 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 Expanding Insurance Coverage Expanding insurance coverage is crucial to achieve medication availability for all. Cairney and Oliver (2017) suggest that policymakers in Saudi Arabia should focus on expanding public health insurance systems while offering financial support to low-income individuals and ensuring that insurance companies include comprehensive prescription coverage in their policies (Cairney & Oliver, 2017). Through these measures, the gap in insurance coverage can be closed, resulting in increased accessibility to medications for the public (Knapp & Wong, 2020). Healthcare Provider Interventions Healthcare providers have a significant role in MA, including selecting economical treatment options, considering patients’ financial conditions, and collaborating with patients in shared decision-making to overcome adherence challenges (Ahmed et al., 2018) (Ahmed et al., 2018). Following Al Jeraisy et al. (2023) lead, they help ease the financial pressure on patients by coordinating their access to assistance programs (Al Jeraisy et al., 2023). Government Initiatives It is pertinent for policymakers to create laws that restrain drug costs, promote competition in the pharmaceutical business, and guarantee price negotiations for prescription medications. According to Sanders et al. (2016), tax breaks may be offered to reduce patients’ financial responsibilities. Multistakeholder Collaboration Multiple stakeholders must work together, and lastly. Findings from Ding et al. (2022) underscore the importance of cooperative efforts from all parties concerned - patients, healthcare professionals, insurers, pharmaceutical companies, and policymakers - when it comes to enhancing adherence and overcoming economic obstacles. Intertwined factors of drug pricing, insurance coverage, and medication adherence necessitate harmonious coordination between these parties for effective resolution (Kanyongo & Ezugwu, 2023). Hypothesis The following hypothesis has been formed by examining the relationship between medical adherence and drug prices and the influence of medical insurance. Hypothesis 1 H1a: High medicine prices negatively impact MA in Saudi Arabia. Hypothesis 2 H2a: Lower MA in Saudi Arabia is related to insufficient insurance coverage. Hypothesis 3 H3a: Increasing insurance coverage and implementing policy changes can help with MA in Saudi Arabia. MATERIAL AND METHODS The study employed a quantitative research method to examine the linkages between drug pricing and insurance coverage and their influence on medication adherence among individuals residing in Saudi Arabia. Through the cross-sectional method, interrelationships were scrutinised and grasped. The selection of quantitative research hinges on its efficient and impartial data collection and analysis capabilities. The positivist perspective emphasises using objective and verifiable evidence to bolster the advancement of the process. Mahajan (2020) states that larger sample sizes translate to greater generalizability. As Creswell and Hirose (2018) described, quantitative research excels when utilising standardised and systematic data collection methods. Research Design The study employed a cross-sectional approach to collect information simultaneously from a diverse population. Medication adherence can be influenced by reviewing three factors: drug pricing, insurance coverage, and income. Correlation analysis between variables was enabled through Bhardwaj’s design (2019). Further characteristics of the research process are described in the following sections: Target Population and Sampling Due to drug pricing, income, and insurance coverage, the study group included all Saudi Arabian citizens experiencing difficulties with medication adherence. According to Bujang et al. (2018), a sample of 250 individuals was surveyed using randomised sampling to obtain a reliable representative of the general public. 95% confidence and a 5% margin of error governed the investigation process. Data Collection Approach Data collection comprised a questionnaire disseminated online using Google Forms to ensure confidentiality and ease. Participants were evaluated on their opinions of prescription cost, insurance coverage, and medication adherence using closed-ended questions on a Likert-type scale. Validity and reliability were established through pre- testing on a representative sample (Bujang et al., 2018). Data Analysis SPSS and Microsoft Excel are employed for data analysis because of their versatility in social sciences and how they easily handle vast amounts of data to provide essential insights(Baker et al., 2022). Data’s characteristics can be understood using descriptive statistics, which consist of the mean, median, mode, and standard deviation (Creswell & Hirose, 2019). The correlation matrix, shown by Graff Elman and de Leeuw (2023), discovered ties among variables (Graffelman & De Leeuw, 2023). Employed in an analysis process, PCA and FA helped identify patterns (Li et al., 2021). Additionally, their importance extended beyond the realm of data analysis alone. Employed by Mooi et al. (2018), multiple Linear Regression examined the relationships between dependent and independent variables. Furthermore, Bujang et al. (2018), has stressed Pa ge 27 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 that Cronbach’s Alpha was used to determine survey reliability (Bujang et al., 2018; Mooi et al., 2018). Ethical Considerations Maintaining ethical principles was crucial throughout the research. Participants provided informed consent after being informed about the potential benefits and risks. Privacy is safeguarded thanks to identification codes and data encryption. No consequences existed for participants who chose not to participate in the study. Preventing research abuse requires maintaining data evaluation transparency and integrity (See Ethical Considerations). Great care was taken to observe ethical principles throughout the research to guarantee the security and comfort of participants. Ethical considerations demand the protection of integrity and respect for participants’ rights. Informed Consent Collaboration was fostered when participants were presented with thorough information regarding the study’s goals, procedures, and potential gains and drawbacks. Consent from all participants was obtained after educating them on the process. Privacy Protection Safeguarding participants’ privacy and data required the implementation of specific measures. Individual anonymity was maintained by assigning unique identification codes, data encryption, and results aggregation. Non-Coercion There were no adverse repercussions for either expressing ethical concerns or choosing to opt out of the study. Their participation was entirely voluntary. Transparency and Data Integrity To maintain the highest levels of ethical standards, all parties involved ensured that no form of research misconduct entered into their procedures, such as selective reporting of results or distortion of figures. Before data dissemination, accuracy and transparency were scrutinised. By incorporating ethical factors, the study ensured high research integrity, participant well-being, and credibility. RESULTS AND DISCUUSSION This research delves into a critical issue plaguing the healthcare landscape in Saudi Arabia-the intricate interplay between drug pricing, insurance coverage, and medication adherence. Our study is not just an exploration but a clarion call to recognise the far-reaching ramifications of these factors on the health and well-being of Saudi Arabian citizens. In an era where access to healthcare is paramount, understanding these dynamics can pave the way for more robust health policies and improved patient outcomes. To unearth the undeniable impact of drug pricing and insurance coverage on medication adherence, we embarked on a journey driven by methodical rigour and precision. Our primary data collection leveraged the online survey method, engaging with 250 participants selected through simple random sampling. The arsenal of statistical tools at our disposal included Microsoft Excel and the venerable IBM SPSS-26 (George & Mallery, 2019), enabling us to conduct comprehensive analyses encompassing descriptive, factor, correlational, and regression analyses. These analyses uncovered the latent variables at the heart of our research-drug pricing, insurance coverage, and medication adherence. Demographic Insights The demographic landscape of our study is a mosaic that reflects the diversity of Saudi Arabia. Understanding our participants provides the foundation upon which our research is built. The findings of the study as illustrated in Table 1 reveal a spectrum of age groups among participants. While 62.4% fall within the 29-39 years bracket, a substantial 14.8% belong to the 18-28 years and 40-50 years groups. Remarkably, even participants above 50 years make up 8% of our cohort. Of the 250 participants, 15% belong to the 18-28 age group, 62% to the 29-39 years group, 15% to the 40-50 years group, and 8% are more than 50 years old. Gender distribution of the study participants, as depicted Table 1: Age of Respondents Frequency Per cent Valid Percent Cumulative Percent Valid 18-28 Years 37 14.8 14.8 14.8 29-39 Years 156 62.4 62.4 77.2 40-50 Years 37 14.8 14.8 92.0 More than 50 Years 20 8.0 8.0 100.0 Total 250 100.0 100.0 Table 2: Gender of Participants Frequency Per cent Valid Percent Cumulative Percent Valid Female 51 20.4 20.4 20.4 Male 199 79.6 79.6 100.0 Total 250 100.0 100.0 Pa ge 28 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 in table 2, underscores the gender disparity in our study. A striking 80% of participants are male, while females constitute 20%. The study’s findings illustrated in table 3. have shown that among the study participants, 56% hold bachelor’s degrees, 31% have master’s degrees, 8% have high school diplomas, and 5% are Ph.D. holders. The monthly income of the participants is equally varied, as shown in Table 4. Notably, 43% earn more than 2000 SAR monthly, while 18% earn below 10,000 SAR. While 20% of the participants have income between 1600 to 2000 SAW per month, the rest, 18%, have 110000-15000 average monthly income. The study’s findings in Table 5. have also revealed that people from various regions have participated, with the central region dominating at 70.8%. The western region follows at 12.8%, while other regions have smaller representations: 3% in the eastern region, 1% outside of the Kingdom of Saudi Arabia, 13% in the western region, and 9% in the southern region. A vital facet of our research is insurance coverage, illustrated in Table 6, revealing that almost 69% of participants possess insurance coverage, while 31% do not, highlighting that 1/3 of the Saudi population doesn’t have insurance coverage. In contrast, the hospitals worked only a negligible amount of insurance. Table 3: Education Level Frequency Per cent Valid Percent Cumulative Percent Valid Bachelors’ Degree 140 56.0 56.0 56.0 High School 19 7.6 7.6 63.6 Master’s Degree 77 30.8 30.8 94.4 Ph.D. 13 5.2 5.2 99.6 PharmD 1 .4 .4 100.0 Total 250 100.0 100.0 Table 4: Monthly Income of Participants Frequency Per cent Valid Percent Cumulative Percent Valid 110000-15000 SAR 46 18.4 18.4 18.4 16000-20000 SAR 51 20.4 20.4 38.8 Less than 10000 SAR 45 18.0 18.0 56.8 More than 20000 SAR 108 43.2 43.2 100.0 Total 250 100.0 100.0 Table 5: Residence of Participants Frequency Per cent Valid Percent Cumulative Percent Valid Central Region 177 70.8 70.8 70.8 Eastern Region 8 3.2 3.2 74.0 I live outside of the Kingdom of Saudi Arabia 2 .8 .8 74.8 Northern Region 8 3.2 3.2 78.0 Southern Region 23 9.2 9.2 87.2 Western Region 32 12.8 12.8 100.0 Total 250 100.0 100.0 Table 6: Insurance Coverage Frequency Per cent Valid Percent Cumulative Percent Valid Covered by the Hospital I Work In 1 .4 .4 .4 No 78 31.2 31.2 31.6 Yes 171 68.4 68.4 100.0 Total 250 100.0 100.0 Measurement of Drug Pricing Reliability statistics for Drug Pricing, as shown in Table 7. shows volumes, as Cronbach’s Alpha coefficient of 0.810 indicates strong internal consistency among the five items used to measure Drug Pricing. These results validate the efficacy of our Drug Pricing measurement. The total variation in observable variables that may be explained by drug pricing is shown in Table 8. and Pa ge 29 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 Table 7: Reliability Statistics of Drug Pricing Cronbach's Alpha Cronbach's Alpha Based on Standardised Items N of Items .814 .810 5 Table 8: Total Variance Explained by Drug Pricing in Observed Variables Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % 1 2.903 58.066 58.066 2.903 58.066 58.066 2 .927 18.534 76.601 3 .469 9.386 85.987 4 .391 7.817 93.804 5 .310 6.196 100.000 Extraction Method: Principal Component Analysis Table 9: Component Matrix (Drug Pricing) Component 1 High drug prices significantly affect my ability to purchase and use medications as prescribed consistently. .813 I have skipped or reduced medication doses due to the cost of the drugs. .809 I have experienced financial strain due to the cost of my medications. .814 Lowering drug prices would improve medication adherence in Saudi Arabia. .482 The cost of medications has led me to seek alternative treatments or therapies. .834 Extraction Method: Principal Component Analysis emphasises how important this factor is. The first component is significant in our analysis since it accounts for 58.066% of the total variation. The Component Matrix (Drug Pricing) findings are illustrated in Table 9. elucidates the relationships between observed variables and the extracted component. Notably, observed variables exhibit strong loadings on Component 1, further emphasising the relevance of Drug Pricing in our research. For example, observed variable 4, “Seeking alternative treatments due to medication cost,” had a high loading of 0.834 and a good correlation with Component 1 of drug price. Other factors also exhibit significant loadings on Component 1, confirming their significance in determining medicine pricing. Measurement of Insurance Coverage Reliability statistics for Insurance Coverage, in Table 10. reinforce the credibility of our measurement scale with a Cronbach’s Alpha coefficient of 0.791. The entire variation explained by insurance coverage is shown in Table 11 The first component solidifies its status as a significant factor by explaining 47.814% of the total variation. The Component Matrix (Insurance Coverage) in Table 12 highlights the significant correlations between the extracted component and the observed variables, further supporting the significance of Insurance Coverage. Table 10: Reliability Statistics of Insurance Coverage Cronbach's Alpha Cronbach's Alpha Based on Standardised Items N of Items .768 .791 5 Table 11: Total Variance Explained by Insurance Coverage in Observed Variables Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % 1 2.391 47.814 47.814 2.391 47.814 47.814 2 1.246 24.912 72.726 3 .625 12.497 85.223 4 .441 8.812 94.035 5 .298 5.965 100.000 Extraction Method: Principal Component Analysis Pa ge 30 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 Measurement of Medication Adherence With a Cronbach’s Alpha coefficient of 0.824, the reliability data for medication adherence shown in Table 13 support the validity of our assessment scale. The reliability of the measuring items for medication adherence is attested to by Cronbach’s Alpha value of 0.824. The entire variation explained by medication adherence is shown in Table 14. A significant 59.789% of the total variation is explained by the first component, demonstrating its importance. The first component accounts for 59.789% of the variation overall, highlighting the importance of medication adherence. Based on the principal component analysis, Table 15 shows the component matrix of medication adherence and its observed factors. The link between each observed variable and the extracted component is indicated by the numbers in the Component 1 column. Higher absolute values show a stronger association. The observed variable 3, for instance, has a high loading of 874 on Component 1, indicating a substantial link between this variable and the extracted component of medication adherence. I am confident I can continuously follow my medication plan without missing doses. Table 12: Component Matrix (Drug Pricing) Component 1 My current insurance coverage adequately covers the cost of my prescribed medications. .785 I have experienced difficulties in obtaining insurance coverage for specific medications. .464 I am satisfied with the range of medications covered by my insurance provider. .863 The insurance claim process for medications is simple and efficient. .777 I have avoided or delayed seeking medical care due to concerns about insurance coverage for medications. .460 Extraction Method: Principal Component Analysis. a. 1 Component Extracted: (Insurance Coverage) Table 13: Reliability Statistics of Medication Adherence Cronbach's Alpha Cronbach's Alpha Based on Standardised Items N of Items .806 .824 5 Table 14: Total Variance Explained by Medication Adherence in Observed Variables Component Initial Eigenvalues Extraction Sums of Squared Loadings Total % of Variance Cumulative % Total % of Variance Cumulative % 1 2.989 59.789 59.789 2.989 59.789 59.789 2 1.012 20.245 80.034 3 .447 8.931 88.965 4 .310 6.209 95.174 5 .241 4.826 100.000 Extraction Method: Principal Component Analysis. Table 15: Component Matrix (Medication Adherence) Component 1 I understand the importance of adhering to my medication regimen to achieve the desired therapeutic outcomes. .788 Taking medications exactly as my healthcare provider prescribes is essential for managing my health condition(s). .841 I am confident in following my medication schedule consistently without missing doses. .874 I actively communicate with my healthcare provider if I experience any difficulties or side effects related to my medications. .786 I have a system (e.g., reminders, pill organisers) to help me manage my medication adherence effectively. .529 Extraction Method: Principal Component Analysis. a. 1 Component Extracted: (Medication Adherence) Pa ge 31 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 RESULTS OF CORRELATION ANALYSIS The Pearson correlation test findings in Table 16 show significant correlations between the variables. Drug cost and insurance coverage have a substantial negative connection (r = -0.768, p 0.001), while their link with medication adherence is inverse and negative (r = -0.773, p = 0.006). Similarly, while it is not statistically significant, a positive association exists between insurance coverage and medication adherence (r = 0.002, p = 0.709). These results imply that increasing insurance coverage and medication adherence are related to higher drug prices. However, a weak and statistically insignificant link exists between insurance coverage and drug adherence. These findings in this study indicate the possible impact of drug costs on insurance coverage and medication adherence. Table 16: Results of the Pearson Correlation Test Drug Pricing Insurance Coverage Medication Adherence Drug Pricing Pearson Correlation 1 .768** -.773** Sig. (2-tailed) .000 .006 N 250 250 250 Insurance Coverage Pearson Correlation -.768** 1 .742 Sig. (2-tailed) .000 .009 N 250 250 250 Medication Adherence Pearson Correlation -.773** .002 1 Sig. (2-tailed) .006 -.768 N 250 250 250 **. Correlation is significant at the 0.01 level (2-tailed). RESULTS OF REGRESSION ANALYSIS Because the value of p is less than 0.05, which symbolises the significant differences between the groups of the mean of each variable, the above-given ANOVA table demonstrates that all the provided variables are substantially different. The regression analysis results employing the two independent variables of drug cost and insurance coverage are summarised in Table 17. Unstandardised coefficients (B) depict the anticipated change in medication adherence when each independent variable is changed by one unit while the others remain unchanged. The standardised influence of these factors on medication adherence is measured by standardised coefficients (Beta). The statistical significance is determined by the T-values and p-values (Sig.). The substantial effects of both independent factors on medication adherence have confirmed all research hypotheses. Regression analysis p-values show a robust association between high drug costs, insurance coverage, and medication adherence. Table 17: Results of the ANOVA Test Model Sum of Squares Df Mean Square F Sig. 1 Regression 12.288 2 6.144 6.411 .002 Residual 236.713 247 .958 Total 249.000 249 a. Dependent Variable: Medication Adherence b. Predictors: (Constant), Insurance Coverage, Drug Pricing Table 18: Results of Multiple Regression Analysis Model Unstandardised Coefficients Standardised Coefficients T Sig. B Std. Error Beta 1 (Constant) 4.070E-7 .062 .000 1.000 Drug Pricing -.747 .070 .749 3.516 .001 Insurance Coverage .758 .070 .759 2.243 .006 a. Dependent Variable: Medication Adherence DISCUSSION The findings of a current study highlight the difficulty of medication adherence in Saudi Arabia. This study reveals the relevance of medication cost and insurance coverage as the foundation of healthcare outcomes. According to the study, expensive medications have a considerable negative impact on medication adherence. The analysis revealed a disturbing truth: patients who struggle with Pa ge 32 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 high pharmaceutical expenses are more prone to non- compliance. For those with chronic illnesses, there are significant accessibility barriers, and these barriers are especially obvious when considering prescription costs. The findings of Kennedy-Martin et al. (2017) show how expensive prescription drugs combined with insufficient insurance can result in significant patient outlays (Kennedy-Martin et al., 2017). The study by Torres- Robles et al. (2021), examining this relationship found that high out-of-pocket expenses are associated with reduced drug adherence, particularly evident in those dealing with chronic illnesses. These results demonstrate that medicine costs significantly influence patient behaviour (Torres- Robles et al., 2022). Despite Saudi Arabia’s advanced healthcare system, high drug costs make it difficult for patients to comply with their treatments effectively. According to Lee et al.’s (2020) study, people with multiple sclerosis must change their medicine consumption due to high out-of-pocket expenses. Compromise in adherence caused by expensive drugs is a serious issue since it adversely affects patient outcomes (Lee et al., 2020). High prescription prices may give off a negative impression, but the study demonstrates that adherence is supported by full insurance coverage. Compliance rises when patients have access to insurance or less expensive medication choices. This conclusion emphasises the need for comprehensive and user-friendly insurance coverage for patients’ access and affordability. This theory is supported by two recent studies, those of Yang et al. (2020) and Wong et al. (2023), which demonstrate that health insurance eases the financial burden on patients by paying for a portion of their medical expenses (Wong et al., 2023; Yang et al., 2020). According to these aforementioned researches those with health insurance are more likely to follow their prescriptions. Investments in insurance coverage-focused policies can increase adherence and enhance health outcomes, making them beneficial. In addition to examining the connection between prescription costs and insurance coverage, this study also examines other aspects of medication compliance. Patient education and awareness campaigns are among the most important factors in encouraging adherence. Providing patients with prescription information, such as dosing instructions and possible adverse effects, improves adherence to the prescribed course of action. According to research by Reed et al. (2017), improved education results in higher adherence rates. Equal focus should be placed on patient and healthcare professional communication (Reed et al., 2017). When communication improved and became more compassionate, medication compliance increased. The relationship between positive patient interactions and medication compliance is clear when patients report. As Brown et al. (2016) demonstrated, lowering patients’ expenditures necessarily increases adherence. The study emphasises the significance of easily available pharmacies. Better adherence was closely correlated with easier pharmacy access, with patient convenience playing a crucial role (Brown et al., 2016). Morrissey et al. (2016) emphasise the importance of convenience in healthcare delivery, noting that patients may need more access to their treatment regimens (Morrissey et al., 2016). CONCLUSION In conclusion, the results of this study offer important new perspectives on the intricate relationships between Saudi Arabia’s medicine prices, insurance coverage, and medication adherence. The study used a quantitative research methodology to examine the correlations between these characteristics by gathering data from a sample of 250 people. The investigation produced significant results illuminating Saudi Arabia’s healthcare management possibilities and difficulties. The study first highlighted the considerable effect of expensive medicine costs on medication adherence. It was shown that patients who had trouble paying for their drugs were more likely to have poorer adherence rates. These findings support the body of material already in existence by highlighting the link between patient compliance and drug prices. Studies by Kennedy-Martin et al. (2017), Torres-Robles et al. (2021), and Yosef et al. (2023) have all shown that patients, particularly those with chronic conditions, may incur higher out-of-pocket costs as a result of high prescription drug prices. This emphasises the importance of affordability in influencing drug adherence behaviours. The study results show a considerable association between high drug prices and nonadherence (r = -0.773, p = 0.006). On the other hand, extensive insurance protection encourages adherence. Sixty-nine per cent of the 250 participants had insurance, while just 31% did not. Participants were split 80/20 between men and women. Approximately 62% of the respondents in the survey were in their twenties to thirties, 56% had bachelor’s degrees, and 43% had monthly incomes above 20,000 SAR. The largest portion (70.8%) was from the central area. The substantial effects of medicine cost and insurance coverage on medication adherence were also verified by regression analysis (Beta = -0.749, p = 0.001 and Beta = 0.759, p = 0.006, respectively). While extensive insurance coverage encourages compliance, exorbitant medication prices impede it. Affordability and accessibility of insurance plans should be a priority for policymakers to enhance. RECOMMENDATIONS The findings of this study can have a significant influence on Saudi Arabia’s healthcare policies. Policymakers should think about a multifaceted strategy to improve drug adherence and, subsequently, health outcomes: Affordable Drug Pricing Reducing exorbitant drug costs should be a focus. Indirectly, increased patient compliance is helped by policies designed to lower the cost of medications or to provide financial assistance. Pa ge 33 https://journals.e-palli.com/home/index.php/ajfti Am. J. Financ. Technol. Innov. 1(1) 24-34, 2023 Comprehensive Insurance Coverage Patients follow their programs more faithfully when they aren’t concerned about paying expensive out-of-pocket costs for required prescriptions, thanks to comprehensive health insurance. Patient Education and Communication Empowerment is attained by encouraging collaboration between healthcare professionals and patients, which results in improved condition management through education and communication. Pharmacy Accessibility By ensuring easy access to pharmacies, we can speed up the processes for picking up new prescriptions and renewing old ones. Holistic Approach As legislators create regulations about medication adherence, a complete viewpoint is essential. This study draws a strong conclusion by examining the complex relationships between drug cost, insurance, and medication adherence. 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