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Solved by verified expert:I need help with 2 assignments.The first is article reviews instructions in link labeled Assignment 1 so the links labeled article 1 and article 2 go with it.The 2nd assignment I have added the case study and part A for this assignment what is needed for this assignment is below needs to be in APA formatPart BExplain the symptoms of the diagnosis provided in the case study. Then explain how this diagnosis will affect the individual in the case study. This is simply an application of what you learned about mental health disorders in Module 02. What are the symptoms of the disorder? Good advocacy requires that education of the client is indicated. Educate your client about the diagnosis. What does the client need to know about this disorder?Design 3 goals and 3 objectives that would support health and wellness as well as overall good behavioral health functioning.


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Read and evaluate the following research articles:

Rawdin, B., Evans, C., & Rabow, M. W. (2013). The relationships among hope, pain,
psychological distress, and spiritual well-being in oncology outpatients. Journal of Palliative
Medicine, 16(2), 167-172. doi:10.1089/jpm.2012.0223
Link to Article

Ferreira, V. M., & Sherman, A. M. (2007). The relationship of optimism, pain and social support to
well-being in older adults with osteoarthritis. Aging & Mental Health, 11(1), 89-98.
Link to Article
Apply the concepts explored in the articles above by writing a 2-3 page paper in APA format using
proper spelling and grammar. Your paper should address the following:
1. Examine the concept of psychological well-being as it relates to the experience of pain and
2. Explore how optimism, hope, distress, and social support play a role in how people experience
pain and stress. Be sure to discuss how these elements of psychological well-being contribute to
overall physical and mental health.
3. Be sure to reference specific concepts from the articles. Use in-text citations and provide APA
formatted References as appropriate.
Click on article 1 then article 2 pdf files
Volume 16, Number 2, 2013
ª Mary Ann Liebert, Inc.
DOI: 10.1089/jpm.2012.0223
The Relationships among Hope, Pain, Psychological
Distress, and Spiritual Well-Being in Oncology Outpatients
Blake Rawdin, MD, MPH,1 Carrie Evans, MA,2 and Michael W. Rabow, MD 3
Objective: Limited research in Taiwan and Europe suggest that hope is inversely correlated with certain dimensions of the pain experience. However, the relationship between hope and pain among oncology outpatients in the United States has not been evaluated. The aims of this study were to investigate the relationship
between hope and cancer pain, after accounting for key psychological, demographic, and clinical characteristics.
Design: We enrolled a convenience sample of 78 patients who were receiving concurrent oncologic and
symptom-focused care in a comprehensive cancer center. Patient demographic and clinical information was
obtained from patient report and medical record review. Patients completed the Herth Hope Index, the Brief
Pain Inventory, the Hospital Anxiety and Depression Scale, and the Steinhauser Spiritual Concern Probe.
Results: Levels of hope were not associated with age, gender, or the presence of metastatic disease. Herth Hope
Index scores were negatively correlated with average pain intensity (p = 0.02), worst pain intensity (p < 0.01), pain interference with function (p < 0.05), anxiety (p < 0.01), and depression (p < 0.01), and were positively correlated with spiritual well-being scores (p < 0.01). However, after controlling for depression and spiritual wellbeing with regression analysis, the relationship between pain intensity and hope was no longer significant. Conclusions: While an association exists between the patients’ experience of pain and levels of hope in this study, adjustment for depression and spiritual well being eliminates the relationship initially observed. Although the causal relationships have yet to be determined, in our study hope had a stronger connection to psycho-spiritual factors, than to pain experiences or severity. Introduction M aintaining hope in the face of serious illness has long been a goal of patients, families, and clinicians. However, relatively little is known about the factors that sustain hope.1,2 Even so, hope is a key clinical and perhaps therapeutic variable, affecting cancer patients’ adjustment and coping skills, overall well-being, immune function, and quality of life.3–10 Conversely, lack of hope and hopelessness is associated with physical illness, depression, and wish to hasten death.11,12 Therefore, developing greater understanding of the demographic and clinical factors that might be associated with or influence a patient’s degree of hope could lead to strategies to identify patients at higher risk for hopelessness or factors that could be targeted by interventions to improve hope and coping with cancer. Defining and operationalizing hope is a complex endeavor as the term has many different interpretations, meanings, and usages. Qualitative investigations of hope within nursing lit- erature have helped describe and define the concept in terms of its sources, attributes, and goals. According to the conceptual model developed by Dufault and Martocchio, hope is a ‘‘multidimensional dynamic life force characterized by a confident yet uncertain expectation of achieving a future good which, to the hoping person, is realistically possible and personally significant.’’ Furthermore, hope is described as a ‘‘complex of many thoughts, feelings, and actions that change with time.’’ Based on extensive research, Dufault and Martocchio conceptualized hope as composed of two spheres, ‘‘generalized hope’’ and ‘‘particularized hope,’’ each consisting of six shared dimensions: cognitive, temporal, affective, behavioral, affiliative, and contextual.13 As described in reviews by Butt14 and by Chi,15 a number of studies have investigated the role of hope in different populations of cancer patients using qualitative and/or quantitative methods. Various instruments have been used to measure hope, most common of which is the Hearth Hope Scale and its more concise counterpart, the Herth Hope Index (HHI). Of the 1 Department of Psychiatry, 2School of Nursing, 3Division of General Internal Medicine, University of California, San Francisco, San Francisco, California. Accepted September 21, 2012. 167 168 studies that have quantitatively assessed the relationship between hope and cancer pain, findings have varied.16–21 Some research has evidenced direct negative correlations between pain severity and hope.16,18,22 Other studies, however, show no significant direct correlations between hope scores and pain intensity or duration.17,20 For example, a cross-sectional study of hospitalized cancer patients in Norway found HHI scores correlated negatively with several of the interference items on the Brief Pain Inventory (BPI), but not with pain severity per se.20 A study investigating the association between pain and hope levels in hospitalized Taiwanese cancer patients concluded that HHI scores did not differ between patients with and without cancer pain. However, among those patients with pain, hope levels correlated with patients’ beliefs about their pain symptoms rather than the pain itself (i.e., pain duration, intensity, and relief), suggesting that cognitive and emotional processing may mediate the relationship between pain and hope.17 To our knowledge, none of the studies focused on hope and pain levels to date have included metrics of both psychological and spiritual well-being. According to Chochinov and others, spirituality can play a significant role in maintaining hope, and it has been recognized by the Institute of Medicine as an important aspect of supportive care at end of life.22–25 Research has also provided empirical support for the hypothesis that spiritual well-being might help to bolster psychological functioning and adjustment to illness.15,26–28 Because the prior literature has delivered inconsistent results and primarily focused on inpatients, the goal of this study was to examine the relationship between pain and hope among oncologic outpatients, while also controlling for psycho-spiritual factors and other potentially significant clinical and demographic variables. It was also important to evaluate the relationship between hope and pain among patients in the US, because prior published studies were set in Europe and Asia. RAWDIN ET AL. The HHI is a 12-item score questionnaire that uses a 4-point Likert scale to assess level of hope.29 The HHI, developed in the oncology setting to operationalize and quantify hope for research and clinical purposes, is based upon Dufault and Martocchio’s conceptual framework of hope. Through psychometric validation studies using factor analysis, Herth successfully identified three subscales—temporality and future, positive readiness and expectancy, and interconnectedness. These three subscales correspond to the cognitive-temporal, affective-behavioral, and affiliative-contextual dimensions elucidated in the Dufault and Martocchio model.13 Total HHI score ranges from 12 to 48 with higher scores corresponding to higher levels of hope. Overall scores provide a validated and reliable measure of global hope for cancer patients with an alpha coefficient of 0.97 and a reliability coefficient of 0.91.29 The BPI is a valid and reliable scale for assessing both pain intensity and pain interference with daily activities, using an 11-item questionnaire.30 The first part consists of four questions that addresses pain severity (where zero refers to ‘‘no pain’’ and 10 to pain as ‘‘bad as you can imagine’’), whereas the second part asks about pain interference with seven aspects of function (where zero refers to ‘‘does not interfere’’ and 10 to ‘‘completely interferes’’). The questionnaire in our study was based on pain experienced over the past week, as in the long version of the BPI. The HADS is a tool designed for physically ill patients to measure anxiety and depression. It avoids reliance on the physical symptoms of psychiatric disease that result from the physical illness itself. This 14-item scale has been widely validated for use with cancer patients.31 The SSCP uses a 5-point Likert scale to evaluate a patient’s sense of spiritual well-being by asking to what degree the patient feels ‘‘at peace.’’ Higher scores signify greater spiritual well-being. It has been validated as a screen for spiritual distress, associated with both religious and meaning-making elements of spirituality.32 Methods Patients and setting Patients (n = 78) were recruited from the Symptom Management Service (SMS), an oncologic outpatient consultation service at the University of California, San Francisco (UCSF) Helen Diller Family Comprehensive Cancer Center. Patients were included if they were able to complete surveys in English, able to provide informed consent, were >18 years of
age, and had a diagnosis of cancer. Patients with diagnoses of
dementia or psychosis were excluded. Institutional Review
Board approval was received before data collection began.
Medical records were reviewed to confirm cancer diagnoses
and to investigate the presence of metastatic disease.
Study instruments
Patients were recruited in the SMS clinic waiting area. After
obtaining written informed consent, patients completed a
demographic questionnaire, the HHI, BPI, Hospital Anxiety
and Depression Scale (HADS), and Steinhauser Spiritual
Concern Probe (SSCP). We selected these measures based on
the frequency of their use in the literature, ease of administration, and construct validity and internal consistency
Statistical analysis
Data analyses were conducted using SPSS for Mac Release
20.0.0 (SPSS, Inc., Chicago, IL). Descriptive statistics were
generated to assess the sample in terms of demographics and
clinical characteristics. Pearson’s product moment correlations between levels of hope and cancer pain intensity, anxiety, depression, spiritual well-being, and demographic
variables were determined. Based on the patient sample size,
the study achieved power to detect a moderate correlation
(r = 0.25–0.30) at 80% power.33 All tests were two-tailed with
an alpha = 0.05.
A multivariate linear regression model was constructed to
evaluate the effects of potential confounders that might systematically bias the association found between pain intensity
and HHI scores in the univariate analysis. Each of the variables of interest had skewness values less than twice their
standard errors, consistent with normal distributions. Hence,
we proceeded with parametric analyses. The dependent variable in the model was HHI score. The predictors were selected by including demographic and clinical variables
deemed important a priori (i.e., age, gender, education, marital status, religion, and the presence of metastatic disease),
then clinical predictor variables most highly correlated in the
univariate correlational analyses (HADS scores, SSCP score,
worst pain in the last week, and pain interference with mood
and function). Multicollinearity was assessed for these variables with the use of correlation matrices and variance inflation factors, as well as the possibility of interaction between
pain variables included in the model and depression scores.
The final model for the sake of parsimony retained only those
factors found to be statistically significant predictors with a p
value of < 0.05. An overall goodness of fit of the regression model was calculated. the study because they either did not meet the inclusion criteria (n = 4) or declined to participate (n = 7). In addition, six surveys (6%) were not included in the sample because the questionnaire was inadequately completed, whether due to inadvertent omission of key survey elements (n = 2), patients’ time constraints (n = 2), or the patients’ feeling ‘‘too ill’’ to continue (n = 2). Of the seven patients (7%) who declined to participate, four did so out of concerns about privacy and/or reluctance to participate in research more generally. The other three cited feeling ‘‘too ill’’ or ‘‘too stressed-out.’’ Results Demographic characteristics Patient enrollment The sample consisted of 64% women and 36% men with a mean age of 57.6 years (standard deviation [SD] = 13.0) (Table 1). Nearly 60% of the sample patients were between the ages of 40 and 64; 32% were ‡ 65 years of age and 9% were < 40. Representative of the SMS patient population, 69.2% of patients self-identified as white, 10.3% African American, and 7.7% Asian. The sample patients were highly educated with 83% having completed college or graduate school. Over half (52.6%) of the sample patients were married or partnered. In terms of religious affiliation, 37.2% identified as Christian, 14.1% as Jewish, 11.5% as Buddhist, 7.7% as other (usually denoted as ‘‘spiritual’’ by patients), and 29.5% as ‘‘none.’’ From a convenience sample of SMS patients, 95 patients were approached to participate and 78 (82%) agreed to participate, provided written informed consent, and completed the questionnaires. Eleven patients (12%) were not enrolled in Table 1. Descriptive Data for the Sample Characteristic Gender Women Men Education Middle school High school College Graduate degree Marital Status Single Married/partnered Religion Buddhist Christian Jewish Hindu Muslim None Other Primary Cancer Brain Breast Gastrointestinal Gynecologic Head/Neck Hematologic Lung Other Prostate Urological Age age < 40 age 40-64 age 65 + Metastatic Disease No Yes Ever Had Pain Related to Present Illness? No Yes n % 50 28 64.10% 35.90% 1 12 39 26 1.28% 15.38% 50.00% 33.33% 37 41 47.44% 52.56% 9 29 11 0 0 23 6 11.54% 37.18% 14.10% 0% 0% 29.49% 7.69% 3 22 3 13 8 2 5 5 12 5 3.85% 28.21% 3.85% 16.67% 10.26% 2.56% 6.41% 6.41% 15.38% 6.41% 7 46 25 8.97% 58.97% 32.05% 26 52 33.33% 66.67% 10 68 12.82% 87.18% Clinical characteristics The three most common cancer diagnoses were breast (28.2%), gynecologic (16.7%), and prostate (15.4%), which is reflective of the proportions within the SMS at large. Twothirds of the patients (66.7%) had metastatic disease. The majority (87.2%) of the sample patients had pain due to the cancer or its treatment. The mean pain score among those with pain over the past week was 3.4 (SD = 2.5) (Table 2). The mean level of pain at the time of the survey and at its worst was 2.8 (SD = 2.7) and 4.7 (SD = 3.4), respectively. The mean total HHI score was 38.2 (SD = 5.09). The mean level of spiritual well-being was 3.3 (SD = 1.01). Patients had a mean score of 14.3 on the HADS (SD = 6.3) with 6.6 on the depression subscale (SD = 3.5) and 7.7 on the anxiety subscale (SD = 3.8). Nearly 50% of patients had scores in the normal range on the HADS anxiety subscale, 28% had borderline scores, and 23% had abnormal scores (Table 3). On the HADS depression subscale, 56% of patients had levels in the normal range, 31% of patients scored in the borderline range, and 12% in the abnormal range. Associations between levels of hope and demographics, clinical characteristics, symptoms, and spiritual well-being scores Among the demographic variables (i.e., age, gender, ethnicity, marital status, religion, and education level), only education level showed a significant univariate correlation with HHI scores (Table 3). Higher education level was associated with higher HHI scores (r = 0.26, p = 0.02). HHI was not associated with the presence of metastatic disease. Among pain variables, total HHI scores were negatively correlated with ratings of worst pain over the last week (r = - 0.28, p = 0.01), average pain over the last week (r = - 0.27, p = 0.01), and with all BPI pain interference items except level 170 RAWDIN ET AL. Table 2. Scores for Pain, Hope, Depression, Anxiety, and Spiritual Well-Being Table 4A. Initial Multivariate Linear Regression Model for HHI Score N Mean SD Min Max BPI Average Pain Over the Last Week Current Level of Pain Worst Pain in Last Week HHI SSCP HADS (Total Score) HADS - Depression Subscale* HADS - Anxiety Subscale* 78 3.38 2.45 0 9 78 2.79 2.68 78 4.67 3.35 78 38.22 5.09 77 3.32 1.01 77 14.28 6.33 77 7.66 3.84 77 6.62 3.5 0 0 28 1 2 0 1 9 10 48 5 31 15 16 *HADS subscale scores between 0 and 7 is ‘‘normal,’’ 8–10 is ‘‘borderline abnormal,’’ and 11–21 is ‘‘abnormal.’’ of interference with relationships: work (r = - 0.23, p = 0.04), sleep (r = - 0.25, p = 0.03), enjoyment (r = - 0.25, p = 0.02), ability to walk (r = - 0.28, p = 0.01), mood (r = - 0.33, p = 0.004), and general function (r = - 0.28, p = 0.01). Depression and anxiety each were negatively correlated and spiritual well-being positively correlated with total HHI scores with correlations of - 0.56, - 0.48, and 0.52, respectively, each with p values of < 0.001. The multivariate linear regression models constructed to predict HHI score (Table 4) indicate that spiritual well-being scores and depression scores were statistically significant predictors of hope. In the final model (Table 4B) SSCP score had a b coefficient of 1.55 ( p < 0.01), and HADS depression score had a b coefficient of - 0.63 ( p < 0.01). The overall adjusted R2 for the model was 0.38, p < 0.001. Pain intensity, BPI Regression variables ß (SE) Age Gender (0 = female; 1 = male) Marital status (0 = single; 1 = married) Metastatic cancer (0 = no; 1 = yes) Any religious affiliation (0 = no; 1 = yes) Education (0-less than college; 1 = at least college degree) Pain (worst in last week) SSCP HADS- Depression Score HADS- Anxiety Score Pain interference w/ general function Pain interference w/ mood 2 p-value - 0.05 (0.04) - 1.29 (1.04) 1.68 (1.00) 0.26 0.22 0.10 1.02 (1.03) - 0.08 (1.10) 0.33 0.95 2.48 (1.43) 0.09 - 0.09 1.46 - 0.55 - 0.23 - 0.01 (0.23) (0.62) (0.16) (0.19) (0.26) 0.69 0.02 <0.01 0.24 0.97 0.16 (0.27) 0.57 2 R = 0.70, R = 0.49; adj R = 0.40. F(12,62) = 5.03; p < 0.001. Table 4B. Final Multivariate Linear Regression Model for HHI Score SSCP HADS- Depression Score ß (SE) p-value 1.55 (0.53) - 0.63 (0.15) <0.01 <0.01 R = 0.63, R2 = 0.39; adj R2 = 0.38. F(2,73) = 23.72; p < 0.001. Table 3. Univariate Correlations with HHI r Demographics Married Higher Educational Level Male Gender Age Clinical Characteristics Metastatic Cancer Presence of pain due to cancer Worst pain over last 1 week Average pain over last 1 week Pain right now Pain Interference With Fun ... Purchase answer to see full attachment

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