Background: Persons with concomitant heart failure (HF) and diabetes mellitus constitute a growing population whose quality of life is encumbered with worse clinical outcomes as well as high health resource use (HRU) and costs.
Methods and Results: Extensive data on HRU and costs were collected as part of a prospective cost-effectiveness analysis of a self-care intervention to improve outcomes in persons with both HF and diabetes. HRU costs were assigned from a Medicare reimbursement perspective. Patients (n = 134) randomized to the self-care intervention and those receiving usual care/attention control were followed for 6 months, revealing significant differences in the number of hospitalization days and associated costs between groups. The mean number of inpatient days was 3 with bootstrapped bias-corrected (BCa) confidence intervals (CIs) of 1.8-4.4 d for the intervention group and 7.3 d (BCa CI 4.1-10.9 d) in the control group: P =.044. Total direct HRU costs per participant were an estimated $9,065 (BCa CI $6,496-$11,936) in the intervention and $16,712 (BCa CI 8,200-$26,621) in the control group, for a mean difference of -$7,647 (BCa CI -$17,588 to $809; P =.21) in favor of the intervention, including intervention costs estimated to be $130.67 per patient.
Conclusions: The self-care intervention demonstrated dominance in lowering costs without sacrificing quality-adjusted life-years.
Aim: Persons with concomitant heart failure (HF) and diabetes mellitus (DM) have complicated, competing, self-care expectations and treatment regimens that may reduce quality of life (QOL). This randomized controlled trial tested an integrated self-care intervention on outcomes of HF and DM QOL, physical function and physical activity (PA).
Methods: Participants with HF and DM (n=134, mean age 57.4 ± 11 years, 66% men, 69% minority) were randomized to usual care attention control (control) or intervention groups. The control group received standard HF and DM educational brochures with follow up phone contact; Intervention received education/counseling on combined HF and DM self-care (diet, medications, self-monitoring, symptoms, and PA) with follow up home visit and phone counseling. Measures including questionnaires for HF and DM-specific, and overall QOL; Physical activity frequency; and physical function (6 minute walk test; 6MWT) were obtained at baseline, 3 and 6 months. Analysis included mixed models with a priori post-hoc tests.
Results: Adjusting for age, body mass index, and comorbidity, the intervention group improved HF total (p=.002) and physical (p<.001) QOL scores at 3 months with retention of improvements at 6 months, improved emotional QOL scores compared to control at 3 months (p=.04), and improved health status ratings (p=.04) at 6 Months compared to baseline. The intervention group improved 6MWT distance (924 feet vs 952 feet, p=. 03) while control declined (834 vs 775 feet) (F1, 63=6.86, p=.01). The intervention group increased self-reported PA between baseline and 6M (p=.01).
Conclusions: An integrated HF and DM self-care intervention improved perceived HF and general QOL but not DM QOL. Improved physical functioning and self-reported PA were also observed with the integrated self-care intervention. Further study of the HF and DM integrated self-care intervention on other outcomes such as hospitalization and cost is warranted.
by
Julie A. Womack;
Terrence E. Murphy;
Harini Bathulapalli;
Kathleen M. Akgun;
Cynthia Gibert;
Ken M. Kunisaki;
David Rimland;
Maria Rodriguez-Barradas;
H. Klar Yaggi;
Amy C. Justice;
Nancy S. Redeker
Background Patient's knowledge about heart failure (HF) contributes to successful HF self-care, but less is known about shared patient-caregiver knowledge. Objectives The purpose of this analysis was to: 1) identify configurations of shared HF knowledge in patient-caregiver dyads; 2) characterize dyads within each configuration by comparing sociodemographic factors, HF characteristics, and psychosocial factors; and 3) quantify the relationship between configurations and patient self-care adherence to managing dietary sodium and HF medications. Methods This was a secondary analysis of cross-sectional data (N = 114 dyads, 53% spousal). Patient and caregiver HF knowledge was measured with the Atlanta Heart Failure Knowledge Test. Patient dietary sodium intake was measured by 3-day food record and 24 h urine sodium. Medication adherence was measured by Medication Events Monitoring System caps. Patient HF-related quality of life was measured by the Minnesota Heart Failure Questionnaire; caregiver health-related quality of life was measured by the Short Form-12 Physical Component Summary. Patient and caregiver depression were measured with the Beck Depression Inventory-II. Patient and caregiver perceptions of caregiver-provided autonomy support to succeed in heart failure self-care were measured by the Family Care Climate Questionnaire. Multilevel and latent class modeling were used to identify dyadic knowledge configurations. T-tests and chi-square tests were used to characterize differences in sociodemographic, clinical, and psychosocial characteristics by configuration. Logistic/linear regression were used to quantify relationships between configurations and patient dietary sodium and medication adherence. Results Two dyadic knowledge configurations were identified: “Knowledgeable Together” (higher dyad knowledge, less incongruence; N = 85, 75%) and “Knowledge Gap” (lower dyad knowledge, greater incongruence; N = 29, 25%). Dyads were more likely to be in the “Knowledgeable Together” group if they were White and more highly educated, if the patient had a higher ejection fraction, fewer depressive symptoms, and better autonomy support, and if the caregiver had better quality of life. In unadjusted comparisons, patients in the “Knowledge Gap” group were less likely to adhere to HF medication and diet. In adjusted models, significance was retained for dietary sodium only. Conclusions Dyads with higher shared HF knowledge are likely more successful with select self-care adherence behaviors.
Objective: (i) To compare the prevalence and severity of depressive symptoms between men and women enrolled in a large heart failure (HF) registry. (ii) To determine gender differences in predictors of depressive symptoms from demographic, behavioral, clinical, and psychosocial factors in HF patients. Methods: In 622 HF patients (70% male, 61 ± 13 years, 59% NYHA class III/IV), depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9). Potential correlates were age, ethnicity, education, marital and financial status, smoking, exercise, body mass index (BMI), HF etiology, NYHA class, comorbidities, functional capacity, anxiety, and perceived control. To identify gender-specific correlates of depressive symptoms, separate logistic regression models were built by gender. Results: Correlates of depressive symptoms in men were financial status (p = 0.027), NYHA (p = 0.001); functional capacity (p < 0.001); health perception (p = 0.043); perceived control (p = 0.002) and anxiety (p < 0.001). Correlates of depressive symptoms in women were BMI (p = 0.003); perceived control (p = 0.013) and anxiety (p < 0.001). Conclusions: In HF patients, lowering depressive symptoms may require gender-specific interventions focusing on weight management in women and improving perceived functional capacity in men. Both men and women with HF may benefit from anxiety reduction and increased control.
Background: Kenya's human resources for health shortage is well documented, yet in line with the new constitution, responsibility for health service delivery will be devolved to 47 new county administrations. This work describes the public sector nursing workforce likely to be inherited by the counties, and examines the relationships between nursing workforce density and key indicators.
Methods: National nursing deployment data linked to nursing supply data were used and analyzed using statistical and geographical analysis software. Data on nurses deployed in national referral hospitals and on nurses deployed in non-public sector facilities were excluded from main analyses. The densities and characteristics of the public sector nurses across the counties were obtained and examined against an index of county remoteness, and the nursing densities were correlated with five key indicators.
Results: Of the 16,371 nurses in the public non-tertiary sector, 76% are women and 53% are registered nurses, with 35% of the nurses aged 40 to 49 years. The nursing densities across counties range from 1.2 to 0.08 per 1,000 population. There are statistically significant associations of the nursing densities with a measure of health spending per capita (P value = 0.0028) and immunization rates (P value = 0.0018). A higher county remoteness index is associated with explaining lower female to male ratio of public sector nurses across counties (P value < 0.0001).
Conclusions: An overall shortage of nurses (range of 1.2 to 0.08 per 1,000) in the public sector countrywide is complicated by mal-distribution and varying workforce characteristics (for example, age profile) across counties. All stakeholders should support improvements in human resources information systems and help address personnel shortages and mal-distribution if equitable, quality health-care delivery in the counties is to be achieved.
by
Stephen M. Vindigni;
Patricia L. Riley;
Francis Kimani;
Rankesh Willy;
Patrick Warutere;
Jennifer F. Sabatier;
Rose Kiriinya;
Michael Friedman;
Martin Osumba;
Agnes N. Waudo;
Chris Rakuom;
Martha Rogers
Objective: To assess the feasibility of utilizing a small-scale, low-cost, pilot evaluation in assessing the short-term impact of Kenya's emergency-hire nursing programme (EHP) on the delivery of health services (outpatient visits and maternal-child health indicators) in two underserved health districts with high HIV/AIDS prevalence.Methods: Six primary outcomes were assessed through the collection of data from facility-level health management forms-total general outpatient visits, vaginal deliveries, caesarean sections, antenatal care (ANC) attendance, ANC clients tested for HIV, and deliveries to HIV-positive women. Data on outcome measures were assessed both pre-and post-emergency-hire nurse placement. Informal discussions were also conducted to obtain supporting qualitative data.Findings: The majority of EHP nurses were placed in Suba (15.5%) and Siaya (13%) districts. At the time of the intervention, we describe an increase in total general outpatient visits, vaginal deliveries and caesarean sections within both districts. Similar significant increases were seen with ANC attendance and deliveries to HIV-positive women. Despite increases in the quantity of health services immediately following nurse placement, these levels were often not sustained. We identify several factors that challenge the long-term sustainability of these staffing enhancements.Conclusions: There are multiple factors beyond increasing the supply of nurses that affect the delivery of health services. We believe this pilot evaluation sets the foundation for future, larger and more comprehensive studies further elaborating on the interface between interventions to alleviate nursing shortages and promote enhanced health service delivery. We also stress the importance of strong national and local relationships in conducting future studies.
Background: Nurses and midwives are the largest component of the health workforce in many countries. The World Health Organization (WHO) together with its partners facilitates the joint development of strategic policy guidance for countries to support the optimization of their nursing and midwifery workforce. The Global Strategic Directions for Strengthening Nursing and Midwifery 2016-2020 (SDNM) is a global policy guidance tool that provides a framework for Member States, the WHO and its partners to adapt, develop, implement and evaluate nursing and midwifery policy interventions in Member States. As part of the broader monitoring and accountability functions of the WHO, assessing the progress of the SDNM implementation at a country level is key to ensuring that countries stay on track towards achieving universal health coverage (UHC) and the sustainable development goals (SDGs).
Methods: This is a cross-sectional mixed methods study involving the analysis of quantitative and qualitative data on the implementation of country-level interventions in the SDNM. Data was provided by government chief nursing and midwifery officers or their representatives using an online self-reported questionnaire. The quantitative data was assessed using a three-level scale and descriptive statistics while qualitative comments were analysed and presented narratively.
Results: Thirty-five countries completed the survey. Summing up the implementation frequency of interventions across all thematic areas, 19% of responses were in the category of "completed"; 55% were reportedly "in progress" and 26% indicated a status of "not started". Findings reveal a stronger level of implementation for areas of nursing and midwifery development related to enhancing regulation and education, creating stronger roles for professional associations and policy strengthening. Leadership and interprofessional collaboration are intervention areas that were less implemented.
Conclusion: Monitoring and accountability of countries' commitments towards implementing nursing and midwifery interventions, as outlined in the SDNM, contributes to strengthening the evidence base for policy reforms in countries. This stock-taking can inform policy- and decision-makers' deliberations on strengthening the contributions of nurses and midwives to achieving UHC and the SDGs.
In the U.S., Europe, and throughout the world, abdominal obesity prevalence is increasing. Depressive symptoms may contribute to abdominal obesity through the consumption of diets high in energy density. To test dietary energy density ([DED]; kilocalories/gram of food and beverages consumed) for an independent relationship with abdominal obesity or as a mediator between depressive symptoms and abdominal obesity. This cross-sectional study included 87 mid-life, overweight adults; 73.6% women; 50.6% African-American. Variables and measures: Beck depression inventory-II (BDI-II) to measure depressive symptoms; 3-day weighed food records to calculate DED; and waist circumference, an indicator of abdominal obesity. Hierarchical regression tested if DED explained waist circumference variance while controlling for depressive symptoms and consumed food and beverage weight. Three approaches tested DED as a mediator. Nearly three-quarters of participants had abdominal obesity, and the mean waist circumference was 103.2 (SD 14.3) cm. Mean values: BDI-II was 8.67 (SD 8.34) which indicates that most participants experienced minimal depressive symptoms, and 21.8% reported mild to severe depressive symptoms (BDI-II ≥ 14); DED was 0.75 (SD 0.22) kilocalories/gram. Hierarchical regression showed an independent association between DED and waist circumference with DED explaining 7.0% of variance above that accounted for by BDI-II and food and beverage weight. DED did not mediate between depressive symptoms and abdominal obesity. Depressive symptoms and DED were associated with elevated waist circumference, thus a comprehensive intervention aimed at improving depressive symptoms and decreasing DED to reduce waist circumference is warranted.
Background: Adults with congenital heart defects (ACHD) face long-term complications related to prior surgery, abnormal anatomy, and acquired cardiovascular conditions. Although self-care is an important part of chronic illness management, few studies have explored self-care in the ACHD population. The purpose of this study is to describe self-care and its antecedents in the ACHD population.
Methods: Persons with moderate or severe ACHD (N=132) were recruited from a single ACHD center. Self-care (health maintenance behaviors, monitoring and management of symptoms), and potential antecedents including sociodemographic and clinical characteristics, ACHD knowledge, behavioral characteristics (depressive symptoms and self-efficacy), and family-related factors (parental overprotection and perceived family support) were collected via self-report and chart review. Multiple regression was used to identify antecedents of self-care maintenance, monitoring, and management.
Results: Only 44.7%, 27.3%, and 23.3% of participants performed adequate levels of self-care maintenance, monitoring and management, respectively. In multiple regression analysis, self-efficacy, education, gender, perceived family support, and comorbidities explained 25% of the variance in self-care maintenance (R2=.248, F(5, 123)=9.44, p<.001). Age, depressive symptoms, self-efficacy, and NYHA Class explained 23% of the variance in self-care monitoring (R2=.232, F(2, 124)=10.66, p<.001). Self-efficacy and NYHA Class explained 9% of the variance in self-care management (R2=.094, F(2, 80)=5.27, p=.007).
Conclusions: Low levels of self-care are common among persons with ACHD. Multiple factors, including modifiable factors of self-efficacy, depressive symptoms, and perceived family support, are associated with self-care and should be considered in designing future interventions to improve outcomes in the ACHD population.