Programs and Communities
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- All Subjects: Screening
- All Subjects: Climate Change
Purpose: Implementation of a postpartum depression (PPD) screening while using evidence-based interventions to improve depressive symptoms, enhance breastfeeding (BF) self-efficacy, and strengthen the mother-infant dyad (MID).
Background and Significance: PPD is highly prevalent among women living in the United States and threatens the physical and psychological health of MIDs. Many of these women go undiagnosed and without treatment, further worsening symptoms and outcomes. This has inspired world healthcare leaders and organizations to address maternal mental health among postpartum women.
Methods: A 12-week evidenced-based project consisted of two-sets of participants including mothers and staff. A comprehensive maternal support program guided by an informational pamphlet (IP) and implementation of PPD screening using the Edinburgh Postnatal Depression Scale served as the two-part intervention for this project. Goals were to decrease PPD, enhance BF satisfaction, and strengthen the MID. Comprehensive maternal support encompasses interventions proven to meet the project goals and includes tailored BF education and care to maternal needs, social support by peer/family involvement, skin-to-skin contact during BF, emotion-regulation strategies, and availability of community resources.
Outcomes: The BSES-SF scores did result in statistical significance based on an alpha value of 0.10, t(3) = -2.98, p = .059, proving a positive effect was seen in breastfeeding self-efficacy post intervention. The results did not show statistical significance (t(3) = 0.60, p = .591) in regard to pre and post-depression scores. However, the mean pre-score (M =3.50, SD 3.11) did decrease post-intervention (M =2.75, SD 1.26) and exemplifies clinical significance.
Conclusion: The outcomes of this Quality-Improvement project showed improved scores for depression and BF self-efficacy post-intervention. This demonstrates the value in screening for PPD using a validated screening tool and instituting comprehensive maternal support guided by evidence-based practice in a community setting.
Method: This project aimed to provide an evidence-based education for intake nurses to understand prevalence of PTSD and to use a screening tool Primary Care PTSD for DSM-5 (PC-PTSD-5) in a non-VA behavioral health facility.
Setting: The project site was a civilian behavioral health facility located in West Phoenix Metropolitan area. The behavioral health facility serves mental health and substance abuse needs. Project implementation focused on the intake department.
Measures: Sociodemographic data, PTSD diagnosis criteria, prevalence and PC-PTDSD-5 screening tool knowledge collected from pre and posttest evaluation. Patients’ charts for those admitted 6-week before and 6-week after the education to calculate numbers of screening tools completed by nurses at intake assessment.
Data analysis: Descriptive statistics was used to describe the sample and key measures; the Wilcoxon Signed Rank Test was used to examine differences between pre-test and post-test scores. Cohen’s effect size was used to estimate clinical significance.
Results: A total of 23 intake nurses (87.0% female, 65.2% 20-39 years old, 52.2% Caucasian, 95.6% reported having 0-10 years of experience, 56.5% completed Associate’s degree) received the education. For PTSD-related knowledge, the pre-test score (Mdn = 6.00) was significantly lower than the post-test score (Mdn = 10.00; Z= -4.23, p < .001), suggesting an increase of PTSD knowledge among nurses after the education. Regarding the diagnosis, the percentage of patients who were diagnosed with PTSD increased from (0.02% to 20% after the education).
Discussion: An evidence-based education aimed at enhancing intake nurses’ knowledge, confidence and skills implementing a brief and no-cost PTSD screening tool showed positive results, including an increase of PTSD diagnosis. The implementation of this screening tool in a civilian primary mental health care facility was feasible and helped patients connect to PTSD treatment in a timely fashion. Continued use of paper version of screening tool will be maintained at facility as an intermediary solution until final approval through parent company is received to implement into electronic medical records.
Routine cervical cancer screening has significantly decreased the mortality rate of cervical cancer. Today, cervical cancer predominantly affects those who are rarely or never screened. Government programs are in place to provide cervical cancer screening at little to no cost, yet screening rates remain suboptimal.
This project evaluated an evidence-based intervention to increase cervical cancer screening among underserved women in a federally qualified health center (FQHC). Female patients ages 21 to 65 years without history of hysterectomy (n=1,710) were sent reminders to their phones through the electronic health record (EHR). The message included educational material about the screening process and an announcement regarding government aid for free or reduced cost screening.
The number of patients who made an appointment after receiving the message was assessed two months later. In total, 156 responses were collected, and 28 patients made an appointment for screening. The most frequently observed category of Ethnicity was Hispanic/Latina (n = 24, 86%). The most frequently observed category of Insurance was Title X (n = 13, 46%). The observations for Age had an average of 41.04 (SD = 9.93). Using an EHR communication function to send motivational reminders has shown some promise for increasing cervical cancer screening, thereby reducing cervical cancer mortality among the underserved.
Maricopa County, Arizona, anchor to the fastest growing megapolitan area in the United States, is located in a hot desert climate where extreme temperatures are associated with elevated risk of mortality. Continued urbanization in the region will impact atmospheric temperatures and, as a result, potentially affect human health. We aimed to quantify the number of excess deaths attributable to heat in Maricopa County based on three future urbanization and adaptation scenarios and multiple exposure variables.
Two scenarios (low and high growth projections) represent the maximum possible uncertainty range associated with urbanization in central Arizona, and a third represents the adaptation of high-albedo cool roof technology. Using a Poisson regression model, we related temperature to mortality using data spanning 1983–2007. Regional climate model simulations based on 2050-projected urbanization scenarios for Maricopa County generated distributions of temperature change, and from these predicted changes future excess heat-related mortality was estimated. Subject to urbanization scenario and exposure variable utilized, projections of heat-related mortality ranged from a decrease of 46 deaths per year (− 95%) to an increase of 339 deaths per year (+ 359%).
Projections based on minimum temperature showed the greatest increase for all expansion and adaptation scenarios and were substantially higher than those for daily mean temperature. Projections based on maximum temperature were largely associated with declining mortality. Low-growth and adaptation scenarios led to the smallest increase in predicted heat-related mortality based on mean temperature projections. Use of only one exposure variable to project future heat-related deaths may therefore be misrepresentative in terms of direction of change and magnitude of effects. Because urbanization-induced impacts can vary across the diurnal cycle, projections of heat-related health outcomes that do not consider place-based, time-varying urban heat island effects are neglecting essential elements for policy relevant decision-making.
Global environmental change and sustainability science increasingly recognize the need to address the consequences of changes taking place in the structure and function of the biosphere. These changes raise questions such as: Who and what are vulnerable to the multiple environmental changes underway, and where? Research demonstrates that vulnerability is registered not by exposure to hazards (perturbations and stresses) alone but also resides in the sensitivity and resilience of the system experiencing such hazards. This recognition requires revisions and enlargements in the basic design of vulnerability assessments, including the capacity to treat coupled human–environment systems and those linkages within and without the systems that affect their vulnerability. A vulnerability framework for the assessment of coupled human–environment systems is presented.
Research on global environmental change has significantly improved our understanding of the structure and function of the biosphere and the human impress on both (1). The emergence of “sustainability science” (2–4) builds toward an understanding of the human–environment condition with the dual objectives of meeting the needs of society while sustaining the life support systems of the planet. These objectives, in turn, require improved dialogue between science and decision making (5–8). The vulnerability of coupled human–environment systems is one of the central elements of this dialogue and sustainability research (6, 9–11). It directs attention to such questions as: Who and what are vulnerable to the multiple environmental and human changes underway, and where? How are these changes and their consequences attenuated or amplified by different human and environmental conditions? What can be done to reduce vulnerability to change? How may more resilient and adaptive communities and societies be built?
Answers to these and related questions require conceptual frameworks that account for the vulnerability of coupled human–environment systems with diverse and complex linkages. Various expert communities have made considerable progress in pointing the way toward the design of these frameworks (10, 11). These advances are briefly reviewed here and, drawing on them, we present a conceptual framework of vulnerability developed by the Research and Assessment Systems for Sustainability Program (http://sust.harvard.edu) that produced the set of works in this Special Feature of PNAS. The framework aims to make vulnerability analysis consistent with the concerns of sustainability and global environmental change science. The case study by Turner et al. (12) in this issue of PNAS illustrates how the framework informs vulnerability assessments.
Children with congenital heart disease (CHD) are at increased risk for psychosocial issues (PSI), decreased quality of life (QOL), and decreased resilience. The purpose of this project was to implement a screening protocol for PSI, QOL, and resilience, with appropriate psychosocial referral for children with CHD.
A pilot protocol was implemented to screen children with CHD, aged 8-17 years, and parents, for resilience, QOL, and PSI. Referrals for psychosocial services were made for 84.2% of children screened (n = 16) based on scoring outcomes. Statistically significant differences in the parents and children’s resilience mean scores were noted. Higher parental scores may indicate that parents believe their children are more resilient than the children perceive themselves to be.
Early identification of concerns regarding QOL, resilience, and PSI in children with CHD can provide ongoing surveillance, while affording opportunities for improved communication between providers, parents, and children. Routine screening and longitudinal follow-up is recommended.