Heart failure in Saudi Arabia

Heart failure represents a major public health challenge in Saudi Arabia

Heart failure represents a major public health challenge in Saudi Arabia. Heart failure is characterized by an increase in prevalence, high costs, and a significant impact on quality of life and mortality (AlAyoubi, 2023). Having the right techniques to acquire data is essential to determine heart failure self-care behaviours, clinical results, and potential factors among the Saudi community. Self-reported scales such as the European Heart Failure Self-Care Behavior Scale (EHFScB) will be used to assess self-care maintenance, management, and confidence of heart failure patients. Such self-report scales directly assess the patients’ experiences with their daily management activities, symptom recognition, and self-efficacy beliefs (Jaarsma et al., 2021).  The medical record reviews will objectively supply clinical data on the disease characteristics, co-morbidities, treatments received, and healthcare utilization indicators, such as hospitalization rates. Therefore, this study will follow a quasi-experiment design showing how self-care practices affect HF outcomes.

Demographic Variables

The conceptualization of demographic variables is critical for this research. It provides a common understanding and a consistent approach to interpreting the variables across various contexts and populations relevant to the issue being studied. Conceptual definitions give a theoretical grounding for the variables, which ensures that they are valid representations of the intended constructs being studied (Gray et al., 2016). This strategy, on the other hand, improves the reliability and validity of the research outcomes. In the context of this research, the relevant demographic variables and their conceptual definitions are as follows:

  1. Gender: This variable is categorical and defined as the socially constructed identity, roles, behaviours as consistent with other similar studies (Alshammri et al., 2023). The gender in this study is indicated via self-reporting and coded as male or female. From the aspect of self-care behaviours, treatment adherence, and seeking healthcare, gender differences will be observed among heart failure patients in Saudi Arabia.
  2. Age: This is a continuous variable that refers to the number of elapsed years since birth. It will depend on the final duration of the elapsed years, as other scholars have already suggested (Chaudhary et al., 2024; Tromp et al., 2021). In this measure, age will be measured by self-reports and then divided into groups based on heart failure and self-care management of the sample distribution. The age groups will be divided into young adults (18-39 years), middle-aged (40-64 years), and older adults (65 years and above). This is the factor that is relevant in the research, and it determines health literacy, self-care ability, and readmission risks of heart failure patients (Wondmieneh et al., 2023).
  3. Marital Status: This variable is a categorical one that denotes the current legally or socially accepted partnership of the participants. In this study, marital status will be measured by asking questions about it and grouped into married, single, divorced, and widowed. Marital status can make a difference in social support that also affects self-care management and outcomes of heart failure patients (Soofi et al., 2020). In this case, married couples might have a better chance of practising self-care routines. This, in turn, would make it less likely for them to be readmitted to the hospital.
  4. Educational Level: This is an ordinal variable that reflects the highest formal education degree an individual has obtained. The study measures the level of education using self-report and classifies it as no formal education, primary education, secondary education, or tertiary education (undergraduate or postgraduate) (Soofi et al., 2020). People with poor health literacy may be low educated, which, in effect, can limit the capacity of patients with heart failure to take care of themselves. It may also affect their compliance with prescribed treatment protocols, and so, consequently, may lead to readmission.
  5. Employment Status: This variable is nominal, specifying the current job activity of an individual. Work status will be ascertained through self-reporting and classified into employed, unemployed, and retired. Employment status can determine whether the patient will have enough healthcare resources and financial stability and whether the patient will participate in self-care activities (Aljohani, 2023). This will, thus, increase the rate of readmission of heart failure patients in Saudi Arabia.
  6. Income Level/Socioeconomic Status: This is a multi-dimensional variable that incorporates one class in a society, which is defined by income, education, and occupation. This study will use the reported income levels and the validated socioeconomic status index of Saudi Arabia to determine the socioeconomic status. Socioeconomic status will be divided into categories according to how the sample will be segmented (for example, low, medium, and high). Monitoring this variable is essential for this research, as lack of health resources, financial strain, and barriers to self-care linked to low socioeconomic status can contribute to the heightened risk of readmission among heart failure patients.

Major Study Variables

It should be noted that for more reliable measurement and interpretation of results, it is important to define variables precisely. This section will define concepts, outline measurement tools, and present data related to the reliability and validity of the variables linked to heart failure readmissions and self-education programs.

30-Day Readmission Rate:

The 30-day readmission rate, which is a common outcome measure in heart failure studies, refers to the proportion of patients who are rehospitalized for heart failure within 30 days of discharge (Macchio et al., 2020). This is the principal outcome that this study plans to evaluate. It represents the number or percentage of hospital readmissions of heart failure patients after being discharged. This measure is regarded as a key indicator in the quality of care and is commonly used to assess the success of the programs targeting heart failure management improvement (Macchio et al., 2020; Madanat et al., n.d.; Rizzuto et al., 2022). One study detailed and operationalized this variable by tracking admissions and readmission rates of the patients within the 30-day window after heart failure hospitalization. They demonstrated that this variable is a valid and reliable outcome in heart failure research (Macchio et al., 2020). Readmissions can be linked to multiple other important clinical outcomes, such as death rates, and are often responsive to changes in the care processes. However, there will also be some limitations because even readmission rates are affected by factors outside the quality of care. These factors could be the demographics and co-morbidities of the patients, which may, consequently, cause negative health outcomes. The 30-day readmission rate is a binary variable (readmitted within 30 days or not). Therefore, traditional measures of internal consistency reliability, like Cronbach’s alpha, are not valid for this variable. Nonetheless, the replicability of this measure has been shown through its constant associations with other key outcomes, namely mortality and healthcare costs, across varied studies (Albinali et al., 2023; Aljabri, 2021; Alshammri et al., 2023; Macchio et al., 2020). This is a valid measure that shows the quality of care and healthcare system performance. It has been demonstrated that the measure is able to detect trends in healthcare delivery and stratagems directed towards better management of heart failures (Macchio et al., 2020). Furthermore, the 30-day readmission rate exhibits convergent validity because of its correlation with other indicators of poor performance, such as longer hospital stays and higher healthcare use. In this case, a higher score (that is, a higher percentage of patients readmitted within 30 days) is typically interpreted as an undesirable outcome, which may indicate some problems with the quality of care or patient transfers (Albinali et al., 2023; Aljohani, 2023).

Self-Care Education Programs:

Self-care programs for heart failure patients normally include lessons on medication management, symptom monitoring, and lifestyle modifications. This is the independent variable in this study. It is an educational initiative intended to educate patients about self-care, which involves details such as medication adherence, self-monitoring of the symptoms, and lifestyle changes (Aljohani, 2023). These programs try to change patients’ self-care attitudes. They primarily argue for patients to be actively involved in the management of their disease (Skouri et al., 2024). The key parts of such programs usually involve personalized learning, therapy, and care received from healthcare professionals. Scientific studies have outlined that educational programs aimed at self-care can increase self-care and reduce hospitalizations among heart failure patients (Aljohani, 2023; Alshammri et al., 2023; Mulugeta et al., 2022). Participants in these programs show better adherence to self-care instructions and have lower rates of readmission than those who receive no such intervention. These programs are subject to evaluation according to their effect on self-care behaviors and clinical outcomes, such as readmission rates. Demographic factors, as well as health-related elements like co-morbidities, are important variables that play a role in self-care behaviors and the likelihood of readmission in heart failure patients (Soofi et al., 2020; Tromp et al., 2021). These covariates should be accounted for when looking at the association between self-care, readmissions, and other outcomes. Researchers extract this information using standard demographic and medical history questionnaires (Aljohani, 2023). By transparently defining and operationalizing the key constructs, this research can guarantee that the measurements are reliable and valid. This is a precondition for drawing dependable conclusions from the studies and advising on clinical practice and policymaking on the management of cardiac failure.

Data Collection

The European Heart Failure Self-Care Behavior Scale (EHFScB-9)

EHFScB-9 is an accurate tool for evaluating patients with heart failure adherence to self-care behaviors. It deals with such behaviors as medication compliance, symptom monitoring, and lifestyle changes. The scale consists of 9 items, all on a 5-point Likert scale, and higher scores show better self-care conduct. Regarding the scores, 9-20 is low self-care, 21-32 is moderate, and 33-45 is high self-care. This affirms the relationship between higher scores on quality and better clinical results, such as reduced readmissions and lower scores on quality, which are connected with the need for intervention in patient self-management. The EHFScB-9 showed very good reliability, as Cronbach’s alpha of 0.61 was in a similar study (Mulugeta et al., 2022). Concerning validity, the EHFScB-9 showed evidence of construct validity, with positive correlations between self-care behaviors and health-related quality of life and medication adherence. In addition to that, the self-care behaviors as measured by the EHFScB-9 play a role in the prediction of important clinical outcomes, for instance, readmissions to hospital, which further demonstrates the predictive validity of the questionnaire (Mulugeta et al., 2022). There are numerous researches suggesting a positive correlation between improved self-care practices and lower hospital readmission rates among HF patients (Aljohani, 2023; Mulugeta et al., 2022; Skouri et al., 2024). Patients who partake in the prompted self-care methods have favorable outcomes and rarely need to be readmitted to the hospital.

Medical Record Review

The electronic medical record review (EMR) has been applied in Saudi heart failure studies to gather multiple items of clinical data (Aljabri, 2021; Mulugeta et al., 2022). This data consists of documented co-morbidities, laboratory results, medications prescribed, treatments received, and healthcare utilization episodes like hospitalizations and emergency visits.
One of the biggest advantages of EMR data is the ability to access objectively recorded clinical parameters, tests, and events, which reinforce and supplement subjective self-reported data provided by patients. Nevertheless, the uniformity and amount of EMR documentation may vary among institutions and providers, possibly limiting the availability of some data elements. Implementing common EMR data extraction rules with clear variable definitions, missing information handling procedures, and quality assessments ensures the credibility of EMR data collection.

Conclusion

This research study applies a comprehensive quasi-experimental design in order to investigate heart failure self-care behaviors, clinical results, including 30-day readmission rate, and related contributing factors among Saudi patients. Medical record reviews will be used as an essential tool to assess such parameters as clinical profiles and healthcare utilization patterns. Well-established procedures to guarantee reliable and valid measures of the essential variables using standardized tools and precise criteria will enhance the generalizability of the study results. In conclusion, the outcomes can guide the development of tailored self-care educational programs and those based on evidence-based care to improve the self-management of heart failure and the significant burden of hospital readmission among cardiac patients in Saudi Arabia.

References

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Macchio, P., Farrell, L., Kumar, V., Illyas, W., Barnes, M., Patel, H., Silverman, A. L., Hong Le, T., Siddique, H., Raminfard, A., Tofano, M., Sokol, J., Haggerty, G., Kaell, A., Rabbani, S., & Faro, J. (2020). 30-day readmission prevention program in heart failure patients (RAP-HF) in a community hospital: Creating a task force to improve performance in achieving CMS target goals. Journal of Community Hospital Internal Medicine Perspectives, 10(5), 413–418. https://doi.org/10.1080/20009666.2020.1800910

Madanat, L., Saleh, M., Maraskine, M., Halalau, A., & Bukovec, F. (n.d.). Congestive Heart Failure 30-Day Readmission: Descriptive Study of Demographics, Co-morbidities, Heart Failure Knowledge, and Self-Care. Cureus, 13(10), e18661. https://doi.org/10.7759/cureus.18661

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Skouri, H. N., Çavuşoğlu, Y., Bennis, A., Klug, E., Ogola, E. N., Bader, F., Saffar, H. B. A., Ragy, H., Alhumood, K. A., Abdelhamid, M., Yılmaz, M. B., & Tabbalat, R. (2024). Expert Recommendations to Bridge Gaps in Heart Failure Patient Support in the Middle East and Africa Region. Anatolian Journal of Cardiology, 28(1), 2. https://doi.org/10.14744/AnatolJCardiol.2023.3517

Soofi, M. A., Jafery, Z., & AlSamadi, F. (2020). Impact of a Social Support Program Supervised by a Multidisciplinary Team on Psychosocial Distress and Knowledge About Heart Failure Among Heart Failure Patients. Journal of the Saudi Heart Association, 32(3), 456–463. https://doi.org/10.37616/2212-5043.1046

Tromp, J., Paniagua, S. M. A., Lau, E. S., Allen, N. B., Blaha, M. J., Gansevoort, R. T., Hillege, H. L., Lee, D. E., Levy, D., Vasan, R. S., van der Harst, P., van Gilst, W. H., Larson, M. G., Shah, S. J., de Boer, R. A., Lam, C. S. P., & Ho, J. E. (2021). Age dependent associations of risk factors with heart failure: Pooled population based cohort study. The BMJ, 372, n461. https://doi.org/10.1136/bmj.n461

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Theoretical Subtraction: Heart Failure

Theoretical Subtraction: Heart Failure

With the current high prevalence of heart failure (HF), self-care deficits constitute a significant driver of poor prognosis and reduced quality of life in this population. Specifically, inadequate self-care capacities underlie high hospital readmission rates of 30-37% within 30 days after discharge for Saudi HF patients (Aljabri, 2021; Alshibani et al., 2020). Effective self-care encompasses the daily behaviors and lifestyle adjustments needed to maintain physiological stability and prevent acute decompensation events in HF. Key components associated with this issue include adhering to complex medication and dietary regimens, frequent symptom monitoring, prompt decision-making for seeking care when symptoms exacerbate, and ongoing adjustments to activity levels based on HF status (Zisis et al., 2021). However, research shows that motivational, knowledge-based, and skill-based barriers frequently interfere with HF patients’ ability to perform adequate self-care (Negarandeh et al., 2020). As conceptualized within Orem’s nursing self-care deficit theory guiding this study, these unmet self-care requisites constitute care deficits requiring tailored nursing interventions (Mesbahi et al., 2020). The factors contributing to poor self-care capacities in Saudi HF patients include inadequate health literacy regarding the disease, cultural beliefs about illness causation that influence treatment adherence decisions, and the inability to recognize subtle symptom changes that require clinical follow-up (Mujamammi et al., 2020). Therefore, this study aims to develop and evaluate a comprehensive Saudi HF self-care educational intervention tailored to address cultural needs and barriers within this population. The intervention consists of in-hospital education focused on teaching HF self-care skills paired with 30-day telephone reinforcement post-discharge to facilitate knowledge translation and skill acquisition. Outcomes will focus on critical self-care concepts of self-care agency, medication treatment adherence, and 30-day hospital readmissions. If proven effective, implementing this culturally informed, nursing-led transitional care model more widely could significantly impact HF outcomes and preventable hospital readmissions for Saudi HF patients.

Theoretical Structure

Definition of Concepts

Self-care agency refers to patients’ capacity to effectively carry out self-care activities necessary for adequate heart failure (HF) management. As conceptualized by Orem’s self-care deficit nursing theory guiding this study, self-care agency encompasses knowledge, motivation, and skills to perform essential HF self-care behaviors (Tanaka, 2022). An essential self-care requisite for HF patients is medication adherence, theoretically defined as correctly following complex HF medication regimens over time as providers prescribe (Zisis et al., 2021). Medication non-adherence frequently arises from poor self-care agency, precipitating acute HF exacerbations that often require hospitalization. A significant adverse outcome reflects decompensated HF necessitating repeat hospitalization within 30 days of discharge, indicating failed transitional care (Kripalani et al., 2019). This 30-day hospital readmission measure constitutes an urgent indicator of suboptimal HF care quality requiring system improvement. Enhancing patients’ self-care agency, particularly regarding medication adherence, could potentially reduce this recurrent outcome. Orem’s theoretical framework underscores the vital role of nurses in assessing and addressing HF self-care knowledge and skill deficits that limit patients’ agency for adequate self-management after hospital discharge (Butler et al., 2023). Without proper education and training, patients lack the requisite capacities to avoid instability and hospital returns. Building self-care agency enables engagement in appropriate stabilizing behaviors like adherence. Consequently, this study’s nursing educational intervention aligns with Orem’s focus on promoting self-care agency and targeting knowledge gaps to empower HF patients to meet their therapeutic needs, potentially mitigating 30-day readmissions (Ghorbanzadeh et al., 2023). Tailoring programming to Saudi patients’ unique cultural and health literacy requirements can effectively improve HF capacities for this population with poor awareness and significant barriers (Mujamammi et al., 2020).

Linkages Between Concepts

Orem’s self-care deficit nursing theory recognizes self-care agency, or patients’ knowledge, willingness, and abilities to perform key behaviors to effectively manage chronic illnesses, as fundamental to achieving optimal health outcomes. In heart failure (HF), higher self-care agency is required for adequate control through complex medication regimens and symptom monitoring (Jaarsma et al., 2021). Patients must possess knowledge of diverse HF medications, willingness to take multiple pills daily, and skills to adhere to demanding schedules for maximal therapeutic effects. When self-care agency deficits exist, patients frequently struggle to take HF medications as prescribed, exhibiting poor adherence (Liljeroos et al., 2020). They may also lack skills in additional self-care realms like restricting fluid and sodium intake, recording daily weights, and promptly responding to escalating symptoms. Execution of HF self-care behaviors encompassed under self-care agency is imperative for stability. Poor medication adherence precipitated by inadequate patient self-care agency often directly results in acute HF exacerbations mandating hospitalization (Seid et al., 2019). Non-adherence can cause fluid overload, pulmonary congestion, and blood pressure derangements if medications like diuretics or ACE inhibitors are not taken regularly (Baymot et al., 2022). Uncontrolled fluid volumes or sudden medication withdrawal also commonly trigger debilitating HF symptoms like dyspnea, fatigue, and edema, severely reducing functional status. Patients frequently require inpatient care for IV diuresis and stabilization when self-care agency deficits manifest as medication non-adherence (Seferovic et al., 2019). By failing to take medications correctly due to knowledge gaps or skill limitations, patients cannot care for themselves adequately at home. Cultivating a self-care agency through comprehensive HF education and training in medication adherence and symptom monitoring skills during hospitalization may prevent 30-day readmissions (Toukhsati et al., 2019). Patients with improved understanding, willingness, and capacities to actively participate in treatment can better execute adherence and promptly respond to deteriorations after discharge. Boosting self-care agency reduces the risk that inadequate self-care engagement precipitated by personal limitations could result in medication non-adherence, fluid overload, or unmanaged symptoms, prompting early repeat hospitalization.

Empirical Structure

Definitions

The operationalization of critical variables is vital to quantitatively assess the theoretical concepts underlying this study’s proposed nursing intervention. Four essential measures will enable the examination of the intervention’s impact on the cultivation of self-care capacities, medication regimen adherence, and 30-day hospital readmission rates. The Self-Care of Heart Failure Index (SCHFI) provides a robust gauge of patients’ self-care agency by scoring self-reported heart failure self-care maintenance behaviors, symptom management skills implemented when acute changes occur, and confidence in performing essential self-care activities (Tanaka, 2022). Its theoretical scoring range of 0-100 facilitates explicit quantification of this central concept, with higher scores indicating superior self-care engagement across domains. The Medication Specific Adherence Scale (MSAS) captures a pivotal self-care behavior in heart failure treatment via patient reports on how medications were taken as prescribed over the past month using a 0-5 scale (Zisis et al., 2021). Greater values signify better achievement of recommended adherence standards to optimize pharmacological therapies. Thirty-day hospital readmission rates, drawn from hospital discharge indexes, offer an objective population-level indicator of the intervention’s effectiveness in curbing preventable repeat admissions shortly after discharge (Kripalani et al., 2019). As a proxy for acute heart failure exacerbations, lower rates point to more robust self-care capacities and symptom control. Together, these measures enable direct testing of the theoretical proposition that comprehensive in-hospital education paired with post-discharge telephone reinforcement will improve self-care agency and medication adherence, translating to reduced 30-day readmissions. The SCHFI and MSAS provide complementary patient-centered data on knowledge application and regimen compliance, while readmission rates capture population outcomes. Limitations may include potential response biases on self-report instruments and the influence of external variables on readmissions. However, the measures exhibit psychometric solid properties and capture concepts integral to the intervention framework.

Evaluation of Operationalization

The operationalization of key concepts in this study relies on established self-report measures that have demonstrated adequacy in capturing the constructs of interest, although certain limitations exist. The Self-Care Heart Failure Index (SCHFI) provides a multi-dimensional assessment of patients’ self-care agency through quantifying adherence behaviors, self-monitoring practices, and confidence levels. Research indicates that the SCHFI exhibits good construct validity in measuring core elements that enable patients to manage their heart failure actively, supporting its selection as an empirical indicator aligned with the self-care agency concept (Tanaka, 2022). However, the scale may not fully capture the nuances of patients’ self-efficacy beliefs that strongly influence motivation and skills application (Zisis et al., 2021). The Morisky Medication Adherence Scale (MMAS) directly measures patients’ medication-taking behaviors by self-reporting lapses across situations. As medication non-adherence commonly triggers acute decompensation events, the MMAS score offers valuable data on this vital self-care domain (Butler et al., 2023). Still, reliance on patient disclosure rather than objective quantification of adherence is an inherent limitation, given biases like social desirability. Hospital discharge data offers perhaps the most accurate indicator of the critical outcome of 30-day readmissions. However, aggregate readmission data alone cannot provide context on the reasons behind acute care needs (Kripalani et al., 2019). So, while accurately delineating this proximal endpoint, supplementary data are essential to interpret and draw implications from obtained rates. In alignment with the conceptual framework, self-care capacities represent the central pathway influencing distal outcomes of hospital utilization and prognosis (Mesbahi et al., 2020). Given the extensive patient education, monitoring, regimen complexity, and lifestyle adjustments heart failure requires, the SCHFI reasonably reflects the knowledge and skill levels needed for adequate self-management and control (Aldihan et al., 2021). Despite limitations like self-report biases, the MMAS has demonstrated adequate concordance with objective adherence data sources. Thus, these measures of self-care agency and medication-taking behaviors capture proximal drivers of acute events requiring readmission reasonably well for testing study hypotheses. During interpretation, limitations regarding depth and precision will be weighed against the conceptual definitions and multi-dimensional nature of the self-care concepts. However, the selected operationalization tools largely exhibit construct validity in assessing the impacts of this tailored educational intervention approach. The translational potential of findings about measurement factors will further be considered as this protocol is refined.

VariableConceptual DefinitionOperational Definition
Self-care agencyPatients’ knowledge, motivation, and capabilities to perform essential self-management activities for adequate heart failure control.Self-care maintenance, management, and confidence levels measured by the Self-Care of Heart Failure Index (SCHFI).
Medication adherenceCorrectly following prescribed complex medication regimens over time.Extent medications were taken as prescribed over past month measured by Medication Specific Adherence Scale (MSAS).
Symptom monitoringDaily self-assessment and documentation of heart failure signs and symptoms.Symptom monitoring and response behaviors measured through structured questionnaires.
Lifestyle modificationMaking appropriate adjustments to physical activity, diet, fluid intake, and other behaviors to maintain heart failure stability.Adoption of recommended lifestyle changes assessed through self-report scales.
30-day hospital readmissionHospital readmission within 30 days of discharge due to acute exacerbation of heart failure.30-day readmission rates calculated from hospital administrative data.

Figure 1: Definitions

Horizontal Linkages

Orem’s self-care deficit theory provides the overarching conceptual framework guiding this research study. A key tenet of this theory is that self-care agency, defined as patients’ knowledge, motivation, and capabilities to perform essential self-care, enables engagement in health-promoting behaviors to meet therapeutic needs for adequate disease control. In heart failure (HF), such requisite behaviors include medication adherence, symptom monitoring, appropriate lifestyle modifications, and prompt care-seeking when symptoms worsen. Multiple empirical studies have provided evidence supporting the theoretical relationships posited by Orem between greater self-care agency through educational interventions and improved performance of these self-management behaviors, including more consistent medication-taking (Ad et al., 2016; Attaallah et al., 2021). Notably, significant negative correlations exist in the literature between patients’ medication adherence levels and the likelihood of 30-day hospital readmissions. This aligns with the study’s conceptual framework in reinforcing medication adherence as a pivotal mediating factor in the causal pathway between enhanced self-care agency and reduced hospitalizations. As equipped with better self-care skills through this tailored educational intervention, patients may be less likely to improperly miss HF medications or inadequately recognize and respond to worsening symptoms, preventing acute decompensation events requiring hospitalization. Consistently across settings, poorer medication adherence is associated with a higher risk of repeat HF hospitalizations (Jarab et al., 2023; Knafl & Riegel, 2014). Quantitatively assessing medication adherence provides an opportunity to evaluate its role as an explanatory mechanism linking the exposure variable of patients’ post-intervention self-care agency and the outcome variable of 30-day readmission rates. A mixed-model analysis is therefore essential to test the hypothesized causal linkages within Orem’s theoretical model, from the enhanced self-care agency through improved medication adherence leading to a significantly reduced likelihood of early hospital returns. Elucidating these expected horizontal linkages helps clarify the underlying mechanisms by which the customized Saudi HF educational regimen may reduce preventable 30-day readmissions.

Vertical Linkages

The vertical linkages in the theoretical subtraction diagram connect the abstract concepts from theory to the concrete empirical indicators used to measure the concepts operationally. Several key vertical linkages help ensure consistency between conceptual definitions and selected measurement tools. The concept of self-care agency, representing patients’ capacities to perform essential HF self-management, aligns with the Self-Care of Heart Failure Index (SCHFI) that quantifies self-care maintenance, management, and confidence. The SCHFI assessment of knowledge, skills, and willingness maps directly to the theoretical definition of self-care agency. Medication adherence, defined as correctly following complex HF treatment regimens, matches the operationalization of the Medical Outcomes Study Specific Adherence Scale (MSAS) that measures the extent of adherence behaviors. MSAS adherence reports correlate with objective pharmacy refill rates and blood therapeutic levels, confirming measurement validity. Additionally, the concept of 30-day hospital readmission, a critical consequence of inadequate self-care capacities leading to acute decompensation events, aligns with tracking readmission rates using hospital indices. Administrative data verifies early rehospitalizations due to exacerbations of the HF condition. The identified vertical linkages through transformational statements connect the theoretical and operational systems, helping substantiate that selected empirical indicators accurately and consistently reflect intended concepts. By mapping concepts to indicators, the subtraction framework establishes theoretical consistency with measurement tools like the SCHFI, MSAS, and hospital readmission indices. The linkage of conceptual definitions to empirical operationalization ensures that study variables derive from and remain grounded in the guiding theory. Vertical integration is vital for confirming research designs measure what they theoretically purport to measure. As such, thoughtful vertical linkages reinforce operationalization validity and aid hypothesis testing to advance nursing science. The outlined vertical relationships align Orem’s self-care deficit theory with instruments quantifying self-care agency, behaviors, and outcomes in Saudi HF patients.

ConstructConceptsTransformational statementKey items on empirical indicator
EnvironmentInfluential factorsTransformational statement: Hospital records are an empirical indicator of health data including comorbidities, depression, previous hospitalizations and length of living with HF.Comorbidities

Depression

Previous hospitalizations

Length of living with HF

PersonSelf-care agencyTransformational statement: The SCHFI is an empirical indicator of self-care agency including medication adherence, symptom monitoring, lifestyle modification and 30-day readmission rates.Medication adherence

Symptom monitoring

Lifestyle modification

 

HealthHealth outcomesTransformational statement: Hospital readmission data is an empirical indicator of 30-day hospital readmissions resulting from inadequate self-care in HF patients.30-day readmission rate

Figure 2: Conceptual Links

Theoretical and Empirical Consistency

The overall vertical alignment between the operational definitions and measurement tools selected with the theoretical concepts and their definitions within Orem’s self-care deficit model is essential in guiding the intervention for this research. The instruments measuring key variables of self-care agency, medication adherence, symptom monitoring, lifestyle changes, and 30-day readmissions reflect the concepts delineated in the model. For example, the Self-Care of Heart Failure Index (SCHFI) reasonably encapsulates the knowledge and skills dimensions comprising self-care agency (Evangelista et al., 2013). However, it may be limited in fully capturing the motivation aspect. Similarly, the measurement of medication adherence via the Medication Specific Adherence Scale (MSAS) correlates well with pharmacy refill and biochemical validation data, relying considerably on the accuracy of patient self-reports. Additionally, identified relationships of influence and predicted causality between variables horizontally across the model are widely affirmed through empirical evidence. Numerous studies confirm associations between improved self-care capacities, better medication adherence, symptom control, lifestyle modifications, and lower hospitalizations (Baryakova et al., 2023; Baymot et al., 2022; Seid et al., 2019). However, the instruments selected cannot incorporate all facets of each concept and their dynamic interactions. For instance, while influenced significantly by care quality and system-level factors, 30-day readmission rates frequently stem directly from patients’ inability to avoid acute decompensation events due to poor self-care. There remains room for enhancing concordance between measurement tools and the multilayered theoretical concepts underlying self-care agency. Despite this, the chosen operationalization methods and empirical indicators demonstrate adequate consistency with Orem’s conceptual delineations of key elements related to the study’s focus. Residual limitations regarding instruments fully capturing theorized mechanisms interlinking concepts will be highlighted.

Research Questions

  1. Does implementing a tailored, culturally-informed educational intervention focused on teaching self-care skills and principles improve self-care agency in hospitalized Saudi HF patients from admission to 30 days post-discharge compared to usual care?
  2. Does enhanced self-care agency from admission to 30 days post-discharge increase medication regimen adherence at 30 days in Saudi HF patients receiving the educational intervention compared to usual care?
  3. Is the relationship between increased self-care agency and reduced 30-day hospital readmission rates mediated by improvements in medication adherence for Saudi HF patients receiving the tailored educational intervention?
  4. Do Saudi HF patients experiencing supportive nursing educational intervention exhibit lower 30-day hospital readmission rates than patients receiving usual care?
  5. What barriers and facilitators to intervention implementation and sustainability are identified amongst nurses and Saudi HF patients in the clinical setting?

 

 

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