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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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.

Variable Conceptual Definition Operational Definition
Self-care agency Patients’ 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 adherence Correctly following prescribed complex medication regimens over time. Extent medications were taken as prescribed over past month measured by Medication Specific Adherence Scale (MSAS).
Symptom monitoring Daily self-assessment and documentation of heart failure signs and symptoms. Symptom monitoring and response behaviors measured through structured questionnaires.
Lifestyle modification Making 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 readmission Hospital 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.

Construct Concepts Transformational statement Key items on empirical indicator
Environment Influential factors Transformational 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

Person Self-care agency Transformational 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

 

Health Health outcomes Transformational 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?

 

 

References

Ad, G., M, R., V, Z., K, A., & N, N. (2016). Limitations of self-care behaviour in heart failure patients-a qualitative research with approach Orems theory. Biomedical Research, 0(0), 437–442. https://www.alliedacademies.org/abstract/limitations-of-selfcare-behaviour-in-heart-failure-patientsa-qualitative-research-with-approach-orems-theory-6169.html

Adam, T., Al Sharif, A. I., Alamri, T. S. M., Al-Nashri, R. A. O., Alluwimi, A. I. M., Samkri, A. Y., Alharthi, M. A., Moafa, A. Y., Alsaadi, N. A., Alraimi, A. M. S., & Alquzi, R. H. M. (2023). The State of Cardiac Rehabilitation in Saudi Arabia: Barriers, Facilitators, and Policy Implications. Cureus, 15(11), e48279. https://doi.org/10.7759/cureus.48279

Aldihan, D. A., Alghafees, M. A., Alharbi, R. O., Allahidan, R. S., AlOmar, R. H., Alenazi, A. F., & Suliman, I. F. (2021). Readmission Rates of Heart Failure and Their Associated Risk Factors in a Tertiary Academic Medical City in Riyadh, Saudi Arabia. Journal of Nature and Science of Medicine, 4(1), 64. https://doi.org/10.4103/JNSM.JNSM_57_20

Aljabri, A. (2021). An inpatient multidisciplinary educational approach to reduce 30-day heart failure readmissions. Saudi Pharmaceutical Journal, 29(4), 337–342. https://doi.org/10.1016/j.jsps.2021.03.008

Alshibani, M., Alshehri, S., Alyazidi, W., Alnomani, A., Almatruk, Z., & Almeleebia, T. (2020). The Impact of Discharged Loop Diuretic Dose to Home Dose on Hospital Readmissions in Patients with Acute Decompensated Heart Failure: A Retrospective Cohort Study. The Heart Surgery Forum, 23(4), Article 4. https://doi.org/10.1532/hsf.3029

Attaallah, S. A., Peters, R. M., Benkert, R., Yarandi, H., Oliver-McNeil, S., & Hopp, F. (2021). Developing a Middle-Range Theory of Heart Failure Self-Care. Nursing Science Quarterly, 34(2), 168–177. https://doi.org/10.1177/0894318420987164

Baryakova, T. H., Pogostin, B. H., Langer, R., & McHugh, K. J. (2023). Overcoming barriers to patient adherence: The case for developing innovative drug delivery systems. Nature Reviews Drug Discovery, 22(5), Article 5. https://doi.org/10.1038/s41573-023-00670-0

Baymot, A., Gela, D., & Bedada, T. (2022). Adherence to self-care recommendations and associated factors among adult heart failure patients in public hospitals, Addis Ababa, Ethiopia, 2021: Cross-sectional study. BMC Cardiovascular Disorders, 22(1), 275. https://doi.org/10.1186/s12872-022-02717-3

Butler, J., Petrie, M. C., Bains, M., Bawtinheimer, T., Code, J., Levitch, T., Malvolti, E., Monteleone, P., Stevens, P., Vafeiadou, J., & Lam, C. S. P. (2023). Challenges and opportunities for increasing patient involvement in heart failure self-care programs and self-care in the post–hospital discharge period. Research Involvement and Engagement, 9(1), 23. https://doi.org/10.1186/s40900-023-00412-x

Evangelista, L., Lee, J.-A., Moore, A., Motie, M., Ghasemzadeh, H., Sarrafzadeh, M., & Mangione, C. (2013). Examining the Effects of Remote Monitoring Systems on Activation, Self-care, and Quality of Life in Older Patients With Chronic Heart Failure. The Journal of Cardiovascular Nursing, 30. https://doi.org/10.1097/JCN.0000000000000110

Ghorbanzadeh, M., Khosravirad, Z., Rostamzadeh, M., Azizi, S., Khodashenas, M., Shahraki, B. K., & Ghasemi, F. (2023). The Efficacy of Self-care Behaviors, Educational Interventions, and Follow-up Strategies on Hospital Readmission and Mortality Rates in Patients with Heart Failure: Self-care Behaviors in Heart Failure Patients: Self-care Behaviors in Heart Failure Patients. Galen Medical Journal, 12, e3116–e3116. https://doi.org/10.31661/gmj.v12i.3116

Jaarsma, T., Hill, L., Bayes‐Genis, A., La Rocca, H. B., Castiello, T., Čelutkienė, J., Marques‐Sule, E., Plymen, C. M., Piper, S. E., Riegel, B., Rutten, F. H., Ben Gal, T., Bauersachs, J., Coats, A. J. S., Chioncel, O., Lopatin, Y., Lund, L. H., Lainscak, M., Moura, B., … Strömberg, A. (2021). Self‐care of heart failure patients: Practical management recommendations from the Heart Failure Association of the European Society of Cardiology. European Journal of Heart Failure, 23(1), 157–174. https://doi.org/10.1002/ejhf.2008

Jarab, A. S., Al-Qerem, W. A., Hamam, H. W., Alzoubi, K. H., Abu Heshmeh, S. R., Mukattash, T. L., & Alefishat, E. (2023). Medication Adherence and Its Associated Factors Among Outpatients with Heart Failure. Patient Preference and Adherence, 17, 1209–1220. https://doi.org/10.2147/PPA.S410371

Knafl, G. J., & Riegel, B. (2014). What puts heart failure patients at risk for poor medication adherence? Patient Preference and Adherence, 8, 1007–1018. https://doi.org/10.2147/PPA.S64593

Kripalani, S., Chen, G., Ciampa, P., Theobald, C., Cao, A., McBride, M., Dittus, R. S., & Speroff, T. (2019). A Transition Care Coordinator Model Reduces Hospital Readmissions and Costs. Contemporary Clinical Trials, 81, 55–61. https://doi.org/10.1016/j.cct.2019.04.014

Liljeroos, M., Kato, N. P., van der Wal, M. H. L., Brons, M., Luttik, M. L., van Veldhuisen, D. J., Strömberg, A., & Jaarsma, T. (2020). Trajectory of self-care behaviour in patients with heart failure: The impact on clinical outcomes and influencing factors. European Journal of Cardiovascular Nursing, 19(5), 421–432. https://doi.org/10.1177/1474515120902317

Mesbahi, H., Kermansaravi, F., & Kiyani, F. (2020). The Effect of Teach-Back Training on Self-Care and Readmission of Patients with Heart Failure. Medical – Surgical Nursing Journal, 9(3), Article 3. https://doi.org/10.5812/msnj.111465

Mujamammi, A. H., Alluhaymid, Y. M., Alshibani, M. G., Alotaibi, F. Y., Alzahrani, K. M., Alotaibi, A. B., Almasabi, A. A., & Sabi, E. M. (2020). Awareness of cardiovascular disease associated risk factors among Saudis in Riyadh City. Journal of Family Medicine and Primary Care, 9(6), 3100. https://doi.org/10.4103/jfmpc.jfmpc_458_20

Negarandeh, R., Aghajanloo, A., & Seylani, K. (2020). Barriers to Self-care Among Patients with Heart Failure: A Qualitative Study. Journal of Caring Sciences, 10(4), 196–204. https://doi.org/10.34172/jcs.2020.026

Seferovic, P., Ponikowski, P., Anker, S., Bauersachs, J., Chioncel, O., Cleland, J., de Boer, R., Drexel, H., Ben-Gal, T., Hill, L., Jaarsma, T., Jankowska, E., Anker, M., Lainscak, M., Lewis, B., McDonagh, T., Metra, M., Milicic, D., Mullens, W., & Coats, A. (2019). Clinical practice update on heart failure 2019: Pharmacotherapy, procedures, devices and patient management. An expert consensus meeting report of The Heart Failure Association of the European Society of Cardiology. European Journal of Heart Failure, 21. https://doi.org/10.1002/ejhf.1531

Seid, M. A., Abdela, O. A., & Zeleke, E. G. (2019). Adherence to self-care recommendations and associated factors among adult heart failure patients. From the patients’ point of view. PLoS ONE, 14(2), e0211768. https://doi.org/10.1371/journal.pone.0211768

Tanaka, M. (2022). Orem’s nursing self-care deficit theory: A theoretical analysis focusing on its philosophical and sociological foundation. Nursing Forum, 57(3), 480–485. https://doi.org/10.1111/nuf.12696

Toukhsati, S., Jaarsma, T., Babu, A., Driscoll, A., & Hare, D. (2019). Self-Care Interventions That Reduce Hospital Readmissions in Patients With Heart Failure; Towards the Identification of Change Agents. Clinical Medicine Insights. Cardiology, 13, 1179546819856855. https://doi.org/10.1177/1179546819856855

Zisis, G., Carrington, M. J., Oldenburg, B., Whitmore, K., Lay, M., Huynh, Q., Neil, C., Ball, J., & Marwick, T. H. (2021). An m-Health intervention to improve education, self-management, and outcomes in patients admitted for acute decompensated heart failure: Barriers to effective implementation. European Heart Journal – Digital Health, 2(4), 649–657. https://doi.org/10.1093/ehjdh/ztab085

 

 

Intervention planning occupational therapy

Intervention planning occupational therapy. About the client – Jason is 8 and has cerebral palsy. Demonstrates moderate lower extremity spasticity and mild upper extremity spasticity. Has AFOs on both feet and wears hand splints to keep thumbs out of their palms. He can reach, grasp, and manipulate objects the size of a golf ball. Whenever possible things are “built up” to improve the ability to use them.

Has difficulty with bilateral integration and poor spatial/perceptual skills. Has a mild learning disability and requires support at school. He sits independently in a small chair with armrests and an abductor pommel to decrease leg abduction. He requires upper extremity support to circle and sits on the floor once positioned. Cannot maintain long-leg sitting. Righting reactions, protective extension, and equilibrium reactions are delayed in sitting, so if he does not have proper positioning support he falls over if knocked off balance. Develop an intervention plan for this goal: (consider positioning and adaptive devices) Jason will complete 3 of 4 written assignments sitting at his desk in supported sitting and using an adaptive device with verbal cues from the teacher for initiation by the end of the school year.

 

 

 

The quality of health care

Explain how race, socioeconomic status, or gender determines the quality of health care in the United States. As a health care provider, describe how you will conquer the treatment and health care barriers that may exist with patients. In replies to peers, discuss additional strategies for overcoming health care barriers.

Irritable Bowel Syndrome with a Nutrition focus

Part 1: Overview and Pathophysiology

Irritable bowel syndrome (IBS) is a disorder of the gastrointestinal system characterized by changes in bowel habits and abdominal pain or discomfort with no detectable biochemical and structural abnormalities. Patients fall into three subtypes as per the predominant bowel pattern. The subtypes are IBS with constipation, diarrhea, and mixed-stool-pattern IBS (Holtmann, Ford & Talley, 2016). The condition’s pathophysiology is not fully understood. Additionally, there are no specific diagnostic tests or effective treatments for IBS (El-Salhy, 2015). As a result, patients with IBS visit physicians more frequently, undergo more diagnostic tests, consume more medication, and get hospitalized more frequently than those without the condition.

IBS Prevalence estimates significantly vary worldwide, within, and between countries. Findings from the surveys indicate that within communities, the prevalence of IBS is between 10% and 15% (Canavan, West & Card, 2014). At the international level, estimates place the prevalence rate at 11.2%, with a variation by geographic region. The prevalence is estimated to be highest in South America at 21.0% and lowest in South Asia at 7% (Canavan, West & Card, 2014). IBS occurs across all age groups, but women, compared to men, tend to report the symptoms more frequently.

Many patients who have developed IBS report dietary triggers. Most patients link their symptoms to the intake of specific food items such as milk and dairy products, wheat products, hot spices, onions, cabbage, and smoked foodstuffs (El-Salhy, Patcharatrakul & Gonlachanvit, 2021). Reports indicate that “fermentable oligosaccharides, monosaccharides, and disaccharides and polyols (FODMAPs)” may exacerbate symptoms of IBS in a section of patients (Holtmann, Ford & Talley 2016, p.134). FODMAPs include lactose, fructose, sugar sources, galactans, and fructans.

FODMAPS occur in various foods, including legumes, wheat, vegetables, rye, and fruits. They contain poorly absorbed and indigestible short-chain carbohydrates (Aziz, Tornblom & Simrén, 2019). After ingestion of FODMAPs, the unabsorbed carbohydrates go into the distal small intestine and the colon. They increase osmotic pressure within the luminal cavity and provide a substrate for bacterial fermentation (El-Salhy, 2015). The bacterial fermentation results in gas production, and its accumulation brings about abdominal distension and pain (El-Salhy, 2015). Diets rich in FODMAPs are reported to trigger gastrointestinal symptoms in IBS (Cozma-Petruţ et al., 2017). However, a diet low in FODMAPs reduces symptoms and improves patients’ quality of life.

Part 2: Food Plan and Therapeutics Foods

Given the critical role that diet plays in the pathophysiology of IBS, dietary interventions may help manage and treat the conditions. One such intervention is the Low FODMAP diet, which is currently viewed as second-line dietary therapy for the disorder (Aziz, Tornblom & Simrén, 2019). The plan entails a three-step elimination diet that starts with the elimination phase. In the first step, all high FODMAP-containing foods are restricted for between 4 and 8 weeks (Aziz, Tornblom & Simrén, 2019). The second phase involves the gradual reintroduction of FODMAPs to identify the foods the patient can tolerate and those they cannot tolerate. The final step is the personalization phase, in which the intolerable foods are eliminated or limited, and the patient is taken into long-term follow-up (Aziz, Tornblom & Simrén, 2019). The diet must be implemented under the guidance of a qualified dietician.

Several studies have supported the efficacy of the Low FODMAP diet in managing IBS. In one study, de Roest et al. (2013) reported a significant improvement in most symptoms, such as diarrhea, bloating, and abdominal pain, among IBS patients, placed on the diet over 15.7 months. In another study conducted in Australia, Peters et al. (2016) report that a low FODMAP diet reduced overall gastrointestinal symptoms over six months. These findings support the potential usefulness of the diet for patients with IBS.

A Low FODMAP diet includes dairy products such as rice milk, almond milk, and lactose-free milk. It also includes fruits such as bananas, and oranges and vegetables such as potatoes, lettuce, and carrots (Liu et al., 2020). Proteins in the diet include beef, pork, fish, and chicken, while grains include gluten-free pasta, rice bran, and oat bran (Liu et al., 2020). Whole grain and bran cereals such as rice and oat bran are excellent sources of insoluble fiber. Consuming them daily will help promote regular laxation (Cozma-Petruţ et al., 2017). Their consumption also ensures that patients have enough energy throughout the day.

There are several negative aspects of the low FODMAP diet. The elimination of galactans and fructans could result in the alteration in the composition of gut microbiota and the reduction of beneficial bacteria (Zanetti et al., 2018). The dietary restriction could also result in weight loss among patients. The concerns can be overcome by educating patients about the importance of involving a qualified dietician in planning and implementing the diet. A qualified dietician will ensure that the diet is adequately balanced and with enough proteins to prevent possible weight loss. Involving a qualified dietician will also ensure that patients incorporate the right probiotics needed to maintain the suitable composition of gut microbiota.

Part 3: Dietary Supplements

Several dietary supplements are effective in the management of IBS. They include guar gum and glutamine. Guar gum is a water-soluble fiber extracted from the guar plant’s seeds (Niv et al., 2016). This plant is native to India and Pakistan. Guar gum’s primary component is a galactomannan. Niv et al. (2016) conducted a study to establish its efficacy in IBS. They report that administering 6 grams per day of partially hydrolyzed guar gum (PHGG) helps with bloating and gas in IBS patients. Contraindications for Guar gum include hypoglycemia, hypotension, and gastrointestinal obstruction (Rxlist, 2022). The dietary supplement should be avoided at least two weeks before surgery.

Figure 1: Guar gum seeds ( Retrieved from https://www.therealgoodnutrition.com/therealgoodblog/2018/10/18/the-good-gut-part-i-guar-gum)

The second dietary supplement, glutamine, is an essential amino acid. It is a preferred energy source for cells with a fast turnover, such as enterocytes and lymphocytes. It promotes the proliferation of enterocytes, controls tight junction proteins, and inhibits pro-inflammatory signaling pathways (Rastgoo et al., 2021). Zhou et al. (2019) conducted a two-month clinical study to evaluate the efficacy of taking a glutamine supplement in IBS with diarrhea. Their findings show that a 5-gram dose of glutamine supplement taken three times daily helps reduce symptoms’ severity and daily stool frequency. In addition, the supplement improved stool consistency and intestinal permeability compared to a placebo (Zhou et al., 2019). Contraindications for glutamine include liver disease and kidney disease (Drugs, 2022). The supplement is available in powder and tablet forms.

Part 4: Educating Clients in Self-Management

Self-management can be quite effective in relieving the significant symptoms of IBS. As part of self-management, patients should change the types of food they eat. They should be on the lookout for foods that worsen the symptoms and avoid them. Patients should be educated about foods rich in FODMAP and how they contribute to the exacerbation of IBS symptoms. They should be taught about the low FODMAP diets and some foods that can be incorporated into the diet. Clients should also be informed about the importance of regular exercise, relaxation, and avoiding stress in managing IBS.

Part 5: Collaboration with Healthcare Professionals

Among the many factors that contribute to IBS is stress. Stress can be managed through many approaches, yoga being one of them. D’Silva et al. (2020) report that yoga is safe and effective and may target several mechanisms involved in IBS treatments. Findings from their study indicate that yoga is equally as effective as dietary interventions in managing the disorder. This implies that a dietician can collaborate with a psychotherapist to ensure effective treatment of IBS.

Part 6: Conclusion

IBS is a manageable condition. Numerous factors trigger the condition, but diet is a significant factor. Available evidence supports the efficacy of a low FODMAP diet in managing the condition. However, this should be implemented with other interventions for optimum patient outcomes. Exercising regularly, yoga, and other practices that help promote mental well-being are some additional approaches patients should consider. One can download a simple guide to low FODMAP here.

 

References

Canavan, C., West, J., & Card, T. (2014). The epidemiology of irritable bowel syndrome. Clinical epidemiology6, 71–80. https://doi.org/10.2147/CLEP.S40245

Cozma-Petruţ, A., Loghin, F., Miere, D., & Dumitraşcu, D. L. (2017). Diet in irritable bowel syndrome: What to recommend, not what to forbid to patients! World journal of gastroenterology23(21), 3771–3783. https://doi.org/10.3748/wjg.v23.i21.3771

de Roest RH, Dobbs BR, Chapman BA, Batman B, O’Brien LA, Leeper JA, Hebblethwaite CR, Gearry RB. The low FODMAP diet improves gastrointestinal symptoms in patients with irritable bowel syndrome: a prospective study. Int J Clin Pract. 2013 Sep;67(9):895-903. DOI: 10.1111/ijcp.12128. Epub 2013 May 23. PMID: 23701141.

Drugs. (2022). Glutamine. Retrieved from https://www.drugs.com/mtm/glutamine.html

D’Silva, A., MacQueen, G., Nasser, Y., Taylor, L. M., Vallance, J. K., & Raman, M. (2020). Yoga as a Therapy for Irritable Bowel Syndrome. Digestive diseases and sciences65(9), 2503–2514. https://doi.org/10.1007/s10620-019-05989-6

El-Salhy M. (2015). Recent developments in the pathophysiology of irritable bowel syndrome. World journal of gastroenterology21(25), 7621–7636. https://doi.org/10.3748/wjg.v21.i25.7621

El-Salhy, M., Patcharatrakul, T., & Gonlachanvit, S. (2021). The role of diet in the pathophysiology and management of irritable bowel syndrome. Indian Journal of Gastroenterology40(2), 111-119. https://link.springer.com/article/10.1007/s12664-020-01144-6

Holtmann, G. J., Ford, A. C., & Talley, N. J. (2016). Pathophysiology of irritable bowel syndrome. The Lancet Gastroenterology & hepatology1(2), 133-146. https://doi.org/10.1016/S2468-1253(16)30023-1

Liu J, Chey WD, Haller E, Eswaran S. Low-FODMAP Diet for Irritable Bowel Syndrome: What We Know and What We Have Yet to Learn. Annu Rev Med. 2020 Jan 27;71:303-314. doi: 10.1146/annurev-med-050218-013625. PMID: 31986083.

Niv, E., Halak, A., Tiommny, E., Yanai, H., Strul, H., Naftali, T., & Vaisman, N. (2016). Randomized clinical study: Partially hydrolyzed guar gum (PHGG) versus placebo in the treatment of patients with irritable bowel syndrome. Nutrition & metabolism13(1), 1–7. https://doi.org/10.1186/s12986-016-0070-5

Peters, S. L., Yao, C. K., Philpott, H., Yelland, G. W., Muir, J. G., & Gibson, P. R. (2016). Randomised clinical trial: the efficacy of gut-directed hypnotherapy is similar to that of the low FODMAP diet for the treatment of irritable bowel syndrome. Alimentary pharmacology & therapeutics44(5), 447–459. https://doi.org/10.1111/apt.13706

Rastgoo, S., Ebrahimi-Daryani, N., Agah, S., Karimi, S., Taher, M., Rashidkhani, B., Hejazi, E., Mohseni, F., Ahmadzadeh, M., Sadeghi, A., & Hekmatdoost, A. (2021). Glutamine Supplementation Enhances the Effects of a Low FODMAP Diet in Irritable Bowel Syndrome Management. Frontiers in nutrition8, 746703. https://doi.org/10.3389/fnut.2021.746703

Rej, A., Aziz, I., Tornblom, H., Sanders, D. S., & Simrén, M. (2019). The role of diet in irritable bowel syndrome: implications for dietary advice. Journal of internal medicine286(5), 490-502. https://doi.org/10.1111/joim.12966

Rxlist. (2022). Guar Gum. Retrieved from https://www.rxlist.com/guar_gum/supplements.htm

Zanetti, A. J. A., Rogero, M. M., & Von Atzingen, M. C. B. C. (2018). Low-FODMAP diet in the management of irritable bowel syndrome. Nutrire43(1), 1-5. https://doi.org/10.1186/s41110-018-0076-z

Zhou, Q., Verne, M. L., Fields, J. Z., Lefante, J. J., Basra, S., Salameh, H., & Verne, G. N. (2019). Randomised placebo-controlled trial of dietary glutamine supplements for postinfectious irritable bowel syndrome. Gut68(6), 996–1002. https://doi.org/10.1136/gutjnl-2017-315136

 

What are the biological (genetic and neuroscientific)

What are the biological (genetic and neuroscientific); psychological (behavioral and cognitive processes, emotional, developmental); and social, cultural, and interpersonal factors that influence the development of psychopathology?

How the administration of antibiotics

Antibiotics should be given with caution. Using
the headings below describe how the administration of antibiotics could have contributed to the development
of thrush in Nevaeh. Destruction of normal flora. Proliferation of bacteria/fungus

Assist with dental radiography

Assist with dental radiography How can you learn how to use the different computing facilities and software involved with x-ray processing?