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Ghana Medical Journal Mar 2024To uncover variables linked to breast cancer patient satisfaction in order to improve policy choices and actions for breast cancer care in Ghana.
OBJECTIVES
To uncover variables linked to breast cancer patient satisfaction in order to improve policy choices and actions for breast cancer care in Ghana.
DESIGN
We employed a cross-sectional design using a quantitative approach.
SETTING
The Radiotherapy, Oncology and Surgery Departments of the Korle Bu Teaching Hospital, Accra.
PARTICIPANTS
Inpatient and outpatient breast cancer patients.
MAIN OUTCOME MEASURES
The level of inpatient and outpatient satisfaction was measured using descriptive and inferential statistical analyses. The Shapiro-Wilk test was employed to assess normality, while the Heckman selection model assessed significance with outcomes of interest.
RESULTS
A total of 636 participants, with a mean age of 52.64±14.07 years, were recruited. The measured inpatient and outpatient levels of satisfaction out of 100 were 74.06±7.41 and 49.99±1.00 respectively, while the self-reported satisfaction levels out of 5 were 4.22±0.63 and 4.11±0.85 respectively. The level of inpatient satisfaction was significantly influenced by age, marital status, income level, and number of previous facilities visited (p<0.05). Outpatient satisfaction level was significantly associated with place of residence and income level (p<0.05).
CONCLUSIONS
The study offers insight into the satisfaction levels of breast cancer patients receiving inpatient and outpatient services at the largest tertiary referral centre and teaching hospital in Ghana, as well as the factors influencing attendance and satisfaction levels. Understanding and improving breast cancer patients' levels of satisfaction is a way that providers can safeguard their emotional well-being. Improvement in patient satisfaction at our institution among outpatients is an area for future growth.
FUNDING
Gardner-Holt Women's Health Grant program, Centre for Global Surgery 2021.
Topics: Humans; Ghana; Female; Breast Neoplasms; Middle Aged; Cross-Sectional Studies; Adult; Patient Satisfaction; Aged; Tertiary Care Centers; Outpatients; Inpatients
PubMed: 38957283
DOI: 10.4314/gmj.v58i1.3 -
Journal of Marital and Family Therapy Jul 2024Guided by the Person-of-the Therapist Training (POTT) Model, the current qualitative study explores emotional experiences and emotion regulation strategies of...
Guided by the Person-of-the Therapist Training (POTT) Model, the current qualitative study explores emotional experiences and emotion regulation strategies of emotionally focused trained therapists who work with high-conflict couples in Turkey. Twenty-one therapists who completed at least the externship in emotionally focused couple therapy (EFCT) and had prior or current clinical experience working with high-conflict couple(s) were recruited through various social media platforms and professional organizations' listservs. Semistructured individual interviews were conducted, audio-recorded, and transcribed verbatim. Thematic analysis of the qualitative data revealed five main themes: (1) Different Compelling Emotional Experiences of the Therapists, (2) Sun After Storm, (3) Triggers of Therapists' Emotions, (4) Perceived Adaptive Emotion Regulation Strategies, and (5) Positive Impact of the Therapist's Regulation Strategies on the Therapy Process. Overall, the findings supported the three phases of the POTT model: namely, knowledge of self, access to self, and use of self. Our study demonstrates the need for integrating self-of-the-therapist work into the clinical practice, training, and supervision of therapists working with distressed couples.
PubMed: 38956763
DOI: 10.1111/jmft.12725 -
BMC Health Services Research Jul 2024While brief duration primary care appointments may improve access, they also limit the time clinicians spend evaluating painful conditions. This study aimed to evaluate...
BACKGROUND
While brief duration primary care appointments may improve access, they also limit the time clinicians spend evaluating painful conditions. This study aimed to evaluate whether 15-minute primary care appointments resulted in higher rates of opioid prescribing when compared to ≥ 30-minute appointments.
METHODS
We performed a retrospective cohort study using electronic health record (EHR), pharmacy, and administrative scheduling data from five primary care practices in Minnesota. Adult patients seen for acute Evaluation & Management visits between 10/1/2015 and 9/30/2017 scheduled for 15-minute appointments were propensity score matched to those scheduled for ≥ 30-minutes. Sub-groups were analyzed to include patients with acute and chronic pain conditions and prior opioid exposure. Multivariate logistic regression was performed to examine the effects of appointment length on the likelihood of an opioid being prescribed, adjusting for covariates including ethnicity, race, sex, marital status, and prior ED visits and hospitalizations for all conditions.
RESULTS
We identified 45,471 eligible acute primary care visits during the study period with 2.7% (N = 1233) of the visits scheduled for 15 min and 98.2% (N = 44,238) scheduled for 30 min or longer. Rates of opioid prescribing were significantly lower for opioid naive patients with acute pain scheduled in 15-minute appointments when compared to appointments of 30 min of longer (OR 0.55, 95% CI 0.35-0.84). There were no significant differences in opioid prescribing among other sub-groups.
CONCLUSIONS
For selected indications and for selected patients, shorter duration appointments may not result in greater rates of opioid prescribing for common painful conditions.
Topics: Humans; Analgesics, Opioid; Male; Female; Primary Health Care; Retrospective Studies; Middle Aged; Adult; Appointments and Schedules; Minnesota; Practice Patterns, Physicians'; Time Factors; Aged; Chronic Pain; Drug Prescriptions
PubMed: 38956585
DOI: 10.1186/s12913-024-11215-5 -
Neurospine Jun 2024Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we...
OBJECTIVE
Primary spinal cord glioblastoma (PSCGBM) is a rare malignancy with a poor prognosis. To date, no prognostic nomogram for this rare disease was established. Hence, we aimed to develop a nomogram to predict overall survival (OS) of PSCGBM.
METHODS
Clinical data of patients with PSCGBM was retrospectively collected from the neurosurgery department of Soochow University Affiliated Second Hospital and the Surveillance Epidemiology and End Results database. Information including age, sex, race, tumor extension, extent of resection, adjuvant treatment, marital status, income, year of diagnosis and months from diagnosis to treatment were recorded. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors for PSCGBM. A nomogram was constructed to predict 1-year, 1.5-year, and 2-year OS of PSCGBM.
RESULTS
A total of 132 patients were included. The 1-year, 1.5-year, and 2-year OS were 45.5%, 29.5%, and 18.9%, respectively. Four variables: age groups, tumor extension, extent of resection, and adjuvant therapy, were identified as independent prognostic factors. The nomogram showed robust discrimination with a C-index value for the prediction of 1-year OS, 1.5-year OS, and 2-year of 0.71 (95% confidence interval [CI], 0.61-0.70), 0.72 (95% CI, 0.62-0.70), and 0.70 (95% CI, 0.61-0.70), respectively. The calibration curves exhibited high consistencies between the predicted and observed survival probability in this cohort.
CONCLUSION
We have developed and internally validated a nomogram for predicting the survival outcome of PSCGBM for the first time. The nomogram has the potential to assist clinicians in making individualized predictions of survival outcome of PSCGBM.
PubMed: 38955537
DOI: 10.14245/ns.2448082.041 -
Scientific Reports Jun 2024Malnutrition and pain are common in patients with chronic kidney disease who undergo hemodialysis. Although both pain and malnutrition are associated with increased...
Malnutrition and pain are common in patients with chronic kidney disease who undergo hemodialysis. Although both pain and malnutrition are associated with increased morbidity and mortality, few studies have explored the correlation between pain and nutritional status. This study aimed to investigate the factors associated with pain intensity in patients undergoing hemodialysis, focusing on the risk of malnutrition. This was a cross-sectional study conducted at a regional dialysis center in a large tertiary hospital. Convenience sampling was used to recruit adult patients who had undergone hemodialysis for more than three months. An interviewer-administered questionnaire was used to gather sociodemographic and clinical data related to dialysis status, comorbidities, and body mass index (BMI). Pain severity and pain interference with functioning domains of the Brief Pain Index (BPI) were used to assess pain, and the malnutrition inflammation score (MIS) was used to assess nutritional status. Descriptive and inferential statistics were used to report the findings. The data were analyzed using the 25th version of the Statistical Package for the Social Sciences (IBM-SPSS) software. Of the final sample of 230 patients, 63.0% were males and 37.0% were females, with an average age of 58.3 years. Almost one-third of the participants had a BMI within the normal range (33.9%), and nearly one-third had a BMI within the underweight range (33.9%). Slightly more than half had a normal nutritional status or mild malnutrition (54.8%), while just under half had moderate or severe malnutrition (45.2%). The prevalence of pain was 47.0%. At the multivariate level, the severity of pain was associated with malnutrition (p < 0.001). Pain interference with function was associated with marital status (p = 0.045), number of comorbidities (p = 0.012), and malnutrition (p < 0.001). The MIS was positively correlated with both the severity of pain and the interference score. Pain and malnutrition were found to be prevalent in patients undergoing hemodialysis. Pain severity was associated with malnutrition, and pain interference was associated with malnutrition, marital status, and the number of comorbidities. Hemodialysis treatment should follow a patient-tailored approach that addresses pain, nutritional status, and associated chronic conditions. In addition, pain assessment and management should be included in the curriculum of nephrology training programs.
Topics: Humans; Female; Male; Renal Dialysis; Malnutrition; Middle Aged; Prevalence; Pain; Cross-Sectional Studies; Aged; Nutritional Status; Body Mass Index; Adult; Risk Factors; Renal Insufficiency, Chronic; Surveys and Questionnaires
PubMed: 38937541
DOI: 10.1038/s41598-024-65603-2 -
Biomedicines May 2024Disparities in the screening, treatment, and survival of African American (AA) patients with breast cancer extend to adverse events experienced with systemic therapy....
PURPOSE
Disparities in the screening, treatment, and survival of African American (AA) patients with breast cancer extend to adverse events experienced with systemic therapy. However, data are limited and difficult to obtain. We addressed this challenge by applying temporal association rule (TAR) mining using the SEER-Medicare dataset for differences in the association of specific adverse events (AEs) and treatments (TRs) for breast cancer between AA and White women. We considered two categories of cancer care providers and settings: practitioners providing care in the outpatient units of hospitals and institutions and private practitioners providing care in their offices.
PATIENTS AN METHODS
We considered women enrolled in the Medicare fee-for-service option at age 65 who qualified by age and not disability, who were diagnosed with breast cancer with attributed patient factors of age and race, marital status, comorbidities, prior malignancies, prior therapy, disease factors of stage, grade, and ER/PR and Her2 status and laterality. We included 141 HCPCS drug J codes for chemotherapy, biotherapy, and hormone therapy drugs, which we consolidated into 46 mechanistic categories and generated AE data. We consolidated AEs from ICD9 codes into 18 categories associated with breast cancer therapy. We applied TAR mining to determine associations between the 46 TR and 18 AE categories in the context of the patient categories outlined. We applied the spark.mllib implementation of the FPGrowth algorithm, a parallel version called PFP. We considered differences of at least one unit of lift as significant between groups. The model's results demonstrated a high overlap between the model's identified TR-AEs associated set and the actual set.
RESULTS
Our results demonstrate that specific TR/AE associations are highly dependent on race, stage, and venue of care administration.
CONCLUSIONS
Our data demonstrate the usefulness of this approach in identifying differences in the associations between TRs and AEs in different populations and serve as a reference for predicting the likelihood of AEs in different patient populations treated for breast cancer. Our novel approach using unsupervised learning enables the discovery of association rules while paying special attention to temporal information, resulting in greater predictive and descriptive power as a patient's health and life status change over time.
PubMed: 38927419
DOI: 10.3390/biomedicines12061213 -
Frontiers in Public Health 2024Analyzing the differences in caregiving models for disabled older adult individuals after stroke and the influencing factors, to provide a basis for addressing relevant...
BACKGROUND
Analyzing the differences in caregiving models for disabled older adult individuals after stroke and the influencing factors, to provide a basis for addressing relevant social demographic issues.
METHODS
The older adult diagnosed with stroke were screened from the Chinese Geriatric Health Survey (CLHLS), and were further divided into subgroups of disability, which was based on their ability of or whether they need help in performing activities such as dressing, bathing, eating, toileting or bowel and bladder control using the international common Katz scale. The care model was divided into formal care, informal care and home care. Multivariate logistic regression was used to screen the influencing factors of the choice of care model for the disabled older adult after stroke.
RESULTS
The results of univariate analysis showed that there were statistical differences in the choice of care mode among different ages, household registration types, number of children, years of education, degree of disability, community services, retirement pension, marital status and medical insurance. Multiple logistic regression showed that, The rural older adult with more children, shorter education years, living with spouse and no help from community tend to choose informal care. Older adult people with higher levels of education, urban household registration, and access to community services are more likely to choose formal care. Older adult women with multiple children are more likely to receive care from their children.
CONCLUSION
In the future, vigorous support for the development of formal caregiving institutions and the improvement of the management system of formal caregiving will help enhance the subjective initiative of disabled older adult individuals in choosing caregiving models and alleviate the burden of family caregiving.
Topics: Humans; Female; Aged; Male; Disabled Persons; Caregivers; China; Aged, 80 and over; Middle Aged; Stroke; Survivors; Logistic Models; Health Surveys
PubMed: 38919919
DOI: 10.3389/fpubh.2024.1404537 -
Journal of Clinical Oncology : Official... Jun 2024Social characteristics, including cohabitation/marital status and socioeconomic position (SEP)-education level, employment status, and income-influence breast cancer...
PURPOSE
Social characteristics, including cohabitation/marital status and socioeconomic position (SEP)-education level, employment status, and income-influence breast cancer prognosis. We investigated the impact of these social characteristics on adherence to adjuvant endocrine therapy (AET) from treatment initiation to 5 years after diagnosis.
METHODS
We assembled a nationwide, population-based cohort of premenopausal women diagnosed in Denmark with stage I-III, estrogen receptor-positive breast cancer during 2002-2011. We ascertained prediagnostic social characteristics from national registries. AET adherence was based on information from the Danish Breast Cancer Group and operationalized as (1) adherence trajectories (from group-based trajectory modeling) and (2) early discontinuation. We computed odds ratios (ORs) and associated 95% CI to estimate the association of cohabitation and SEP with AET adherence using multinomial and logistic regression models adjusted according to directed acyclic graphs.
RESULTS
Among 4,353 patients, we identified three adherence trajectories-high adherence (57%), slow decline (36%), and rapid decline (6.9%). Compared with cohabiting women, those living alone had higher ORs of slow (1.26 [95% CI, 1.08 to 1.46]) or rapid decline (1.66 [95% CI, 1.27 to 2.18]) versus high adherence. The corresponding ORs for women not working versus employed women were 1.22 (95% CI, 1.02 to 1.45) and 1.76 (95% CI, 1.30 to 2.38). For early discontinuation (17%), the ORs were 1.48 (95% CI, 1.23 to 1.78) for living alone and 1.44 (95% CI, 1.17 to 1.78) for women not working.
CONCLUSION
Adherence to AET was lower among women living alone or unemployed than cohabiting or employed women, respectively. These women may benefit from support programs to enhance AET adherence.
PubMed: 38917383
DOI: 10.1200/JCO.23.02643 -
Novel decision tree models predict the overall survival of patients with submandibular gland cancer.Clinical Oral Investigations Jun 2024While the accurate prediction of the overall survival (OS) in patients with submandibular gland cancer (SGC) is paramount for informed therapeutic planning, the...
BACKGROUND
While the accurate prediction of the overall survival (OS) in patients with submandibular gland cancer (SGC) is paramount for informed therapeutic planning, the development of reliable survival prediction models has been hindered by the rarity of SGC cases. The purpose of this study is to identify key prognostic factors for OS in SGC patients using a large database and construct decision tree models to aid the prediction of survival probabilities in 12, 24, 60 and 120 months.
MATERIALS AND METHODS
We performed a retrospective cohort study using the Surveillance, Epidemiology and End Result (SEER) program. Demographic and peri-operative predictor variables were identified. The outcome variables overall survival at 12-, 24-, 60, and 120 months. The C5.0 algorithm was utilized to establish the dichotomous decision tree models, with the depth of tree limited within 4 layers. To evaluate the performances of the novel models, the receiver operator characteristic (ROC) curves were generated, and the metrics such as accuracy rate, and area under ROC curve (AUC) were calculated.
RESULTS
A total of 1,705, 1,666, 1,543, and 1,413 SGC patients with a follow up of 12, 24, 60 and 120 months and exact survival status were identified from the SEER database. Predictor variables of age, sex, surgery, radiation, chemotherapy, tumor histology, summary stage, metastasis to distant lymph node, and marital status exerted substantial influence on overall survival. Decision tree models were then developed, incorporating these vital prognostic indicators. Favorable consistency was presented between the predicted and actual survival statuses. For the training dataset, the accuracy rates for the 12-, 24-, 60- and 120-month survival models were 0.866, 0.767, 0.737 and 0.797. Correspondingly, the AUC values were 0.841, 0.756, 0.725, and 0.774 for the same time points.
CONCLUSIONS
Based on the most important predictor variables identified using the large, SEER database, decision tree models were established that predict OS of SGC patients. The models offer a more exhaustive evaluation of mortality risk and may lead to more personalized treatment strategies.
Topics: Humans; Decision Trees; Male; Female; Middle Aged; SEER Program; Retrospective Studies; Submandibular Gland Neoplasms; Aged; Prognosis; Adult; Survival Rate; Neoplasm Staging; Algorithms; Survival Analysis
PubMed: 38916666
DOI: 10.1007/s00784-024-05703-5 -
AIDS Research and Therapy Jun 2024Ethiopia's viral suppression rate was less than 90% by 2020, and more than 10% of adult clients on ART in Woliso Town were unsuppressed at the end of March 2022. This...
BACKGROUND
Ethiopia's viral suppression rate was less than 90% by 2020, and more than 10% of adult clients on ART in Woliso Town were unsuppressed at the end of March 2022. This study aims to identify determinants of virologic failure among adult clients on ART at health facilities in Oromia region of Ethiopia.
METHODS
A facility-based unmatched case-control study was conducted at health facilities in Oromia region from August 1 to September 1, 2022. The study cases were clients with virologic-confirmed first-line ART failure, while controls were clients on first-line ART with a suppressed viral load. A total of 135 cases and 268 control participants were selected using simple random sampling techniques, and data were collected by reviewing the client's document. Epi-Info7 was used for data entry and SPSS version 20 for data analysis. Variables having a P-value of less than 0.25 in the bi-variable analysis were included in multivariable logistic regression. Determinants of virologic failure were determined based on an adjusted odds ratio using 95% CI and a P-value of < 0.05.
RESULT
In this study, clients with an age ≥ 35 years (AOR = 3.4, 95% CI: 1.6, 7.0), clients with a baseline regimen of AZT + 3TC + NVP (AOR = 3.5, 95% CI: 1.4, 8.8), clients with a base-line CD4 count < 350 mm (AOR = 2.3, 95% CI: 1.1, 4.5), being single marital status (AOR = 3.7, 95% CI: 1.4, 10.5), TB-HIV coinfection (AOR = 2.58, 95% CI: 1.3, 5.1), and having opportunistic infection other than TB in the last six months (AOR = 3.06, 95% CI: 1.5, 6.3) were factors significantly associated with virologic failure while clients within the appointment spacing model (AOR = 0.05, 95% CI: 0.03, 0.10) is inversely associated with virologic failure.
CONCLUSION
This study showed that age ≥ 35 years, being single, baseline ART regimen with (AZT + 3TC + NVP), baseline CD4 cell count < 350 mm, Tb-co infection, and opportunistic infection in the last 6 months were factors associated with virologic failure. Involvement in the appointment spacing model was found to be protective.
Topics: Humans; Ethiopia; Case-Control Studies; Adult; HIV Infections; Male; Female; Treatment Failure; Viral Load; Anti-HIV Agents; Middle Aged; Young Adult; CD4 Lymphocyte Count; Risk Factors; Adolescent
PubMed: 38915090
DOI: 10.1186/s12981-024-00625-4