323 research outputs found
The Iowa Homemaker vol.34, no.4
No full textWeather or not, Jean Redman, page 5
Flaming dinners, Jane Brintlinger, page 6
You and AHEA, Sally Young, page 7
Polish with wax, Joan Mertens, page 8
What’s new, Donna Mumford, page 10
Sell ISC, Doris Jirsa, page 11
Do it yourself, Mary Vandecar, page 12
Trends, Carolyn Shehan, page 14</p
The Iowa Homemaker vol.34, no.3
No full textStar your college goals, Gwen Olson, page 5
Encourage your Cyclones, Carolyn Shehan, page 6
Brighten up, Sally Young, page 9
Dollars for scholars, Becky Metcalf, page 10
Forecast, Donna Mumford, page 12
What’s new, Jean Redman, page 14
That missing leaf, Joan Mertens, page 17
Trends, Kay Scholten, page 18</p
The Iowa Homemaker vol.34, no.6
No full textWestgate, Jean Daggett, page 5
AHEA goes to Minneapolis, Jane Hammerly, page 6
Go West in Fashion, Gwen Olson, page 7
Summer Work Calendar, Doris Jirsa and Muriel McLain, page 8
Dream of Summer in the Winter, Jean Redman, page 10
Alum Serves 10,000 Women Every Year, Sally Young, page 12
Viewed by a Waiter, Carolyn Shehan, page 14
What’s New, Mary Vandecar, page 16
Trends, Kay Scholten, page 18</p
Transforming sustainable food and waste behaviors by realigning domains of knowledge in our education system
No full textabstract: Changing from current unsustainable production, consumption, and disposal patterns will clearly require technological, political and other structural changes, but also individual behavior change. Consumer demand and individuals’ purchasing power exerts pressure on many parts of the production system, including how crops are produced (i.e., organic), products are packaged and labeled (i.e., rBGH-free labels on milk), and even where products are distributed and how they are disposed of. Individual consumer behaviors have even led to political and structural changes overtime, such the consumer boycott of tuna which led to 1990 US legislation creating the "Dolphin Safe" tuna label.
One of the central ways to foster responsible citizenry and promote sustainable production is to harness the capacity of teachers and schools to create change. Educating for conscious consumerism is a critical part of creating changes in production, consumption and disposal systems, but our current education system and approaches often reinforce unsustainable practices that neglect subjective ways of knowing as well as action and change. Research and experience suggests that traditional, information intensive teaching about sustainability alone does not motivate the behavior change a transition to sustainability will require. Utilizing a previously developed framework that identifies four distinct types of knowledge—declarative, procedural, effectiveness and social—we hypothesize that procedural, effectiveness and social knowledge are important predictors of an individual’s participation in sustainable behaviors, while declarative (information) knowledge is not. While the knowledge domain framework has been theoretically detailed by other researchers (Kaiser & Fuhrer, 2003; Frisk & Larson, 2011) and qualitatively assessed through an intensive case study education program (Redman 2013), to date, this is the first quantitative assessment of the relationship between the four domains of knowledge and sustainability-related behaviors.
We tested our hypothesis through an extensive survey of 346 current and future K-12 teachers about sustainable food and waste knowledge and behaviors. The survey results supported our hypothesis that high levels of declarative knowledge alone did not predict increased participation in sustainable behaviors while procedural and social knowledge were statistically significant predictors of sustainable food behaviors and procedural, effectiveness, and social knowledge were all statistically significant predictors of sustainable waste behaviors. Through active incorporation of appropriate forms of procedural, effectiveness, and social knowledge into the K-12 classroom, educators can empower the next generation to make individual changes based on their vision of the future and insist on structural and institutional changes that are essential for a successful transition to sustainability.This is the author's manuscript. The published article can only be accessed from the publisher's website
Are specialist breast nurses available to Australian women with breast cancer?
No full textCampbell, Danielle ; Khan, Asaduzzaman ; Rankin, Nicole ; Williams, Philippa ; Redman, Sall
Women's involvement in decision making for treatment of menstrual symptoms.
No full textProf Sally Redman$AUD 159,410.51NHMRC Project GrantsSpecial Initiative Gran
Which key attributes combine to create the outstanding primary school science teacher Christine Redman.
No full textThis thesis was scanned from the print manuscript for digital preservation and is copyright the author.
Researchers can access this thesis by asking their local university, institution or public library to
make a request on their behalf. Monash staff and postgraduate students can use the link in the References field
Performance evaluation of computerized antepartum fetal heart rate monitoring: Dawes–Redman algorithm at term
No full textObjectives: To assess the effectiveness of the Dawes–Redman algorithm in identifying fetal wellbeing at term by analyzing 30 years of retrospective clinical data, comparing normal and adverse pregnancy outcomes, evaluating key metrics and testing its performance when used 0–48 h before delivery. Methods: Antepartum fetal heart rate (FHR) traces from term singleton pregnancies at 37 + 0 to 41 + 6 weeks' gestation obtained between 1991 and 2024 were extracted from the Oxford University Hospitals database. Traces with > 30% of their signal information missing or with incomplete Dawes–Redman analyses were excluded. Only traces performed within 48 h prior to delivery were considered. A cohort of pregnancies with subsequent normal pregnancy outcome (NPO) was established using rigorous inclusion and exclusion criteria. Another cohort of pregnancies with adverse pregnancy outcome (APO) was developed if the neonate experienced at least one of seven APOs after delivery. Propensity score matching (PSM) facilitated a balanced comparison between NPO and APO cohorts using six factors: gestational age at FHR monitoring, fetal sex, maternal body mass index at presentation, maternal age at delivery, parity and time interval between FHR trace and delivery. FHR traces were categorized as either ‘criteria met’ (indicating fetal wellbeing) or ‘criteria not met’ (indicating a need for further evaluation) according to the Dawes–Redman algorithm, which informed the evaluation of predictive performance metrics. Performance was assessed using accuracy, sensitivity, specificity, positive predictive value, and negative predictive value (NPV) adjusted for various population risk prevalences of APO. Results: A balanced dataset of 3316 antepartum FHR traces was developed with PSM (standardized mean difference < 0.10). The Dawes–Redman algorithm showed a high specificity of 90.7% (95% CI, 89.2–92.0%) for ruling out APO. Sensitivity was 18.2% (95% CI, 16.3–20.0%). The NPV varied with the population prevalence of APO and was high in very‐low‐risk settings (NPV, 99.1% (95% CI, 98.9–99.3%) at 1% APO prevalence) and decreased with increasing risk of APO (NPV, 72.1% (95% CI, 67.7–76.1%) at 30% APO prevalence). Temporal proximity of FHR assessment to delivery indicated robust specificity, which was similar for assessments performed at 0–24 h and 24–48 h prior to delivery (specificity at 0–24 h, 90.8% (95% CI, 88.8–92.7%); specificity at 24–48 h, 90.3% (95% CI, 88.2–92.3%); P = 0.898). Across the different adverse outcomes comprising the APO cohort, the performance of the Dawes–Redman algorithm remained consistent, with high specificity (ranging from 87.7% to 94.7%) and NPVs (ranging from 95.4% to 96.0%), confirming its utility in identifying fetal wellbeing. Conclusion: These findings indicate that the Dawes–Redman algorithm is effective for its intended purpose: identifying a state of fetal wellbeing. This is evidenced by its high specificity. However, its low sensitivity suggests limitations in its ability to identify fetuses at risk of APO. The predictive accuracy of the algorithm is affected significantly by the prevalence of healthy pregnancies within the population. Clinical interpretation of FHR traces that do not satisfy the 10 Dawes–Redman criteria warrant further expert clinical evaluation. While the algorithm proves reliable for its primary objective, the development of an algorithm optimized for high‐risk pregnancy scenarios remains an area of interest for future study. © 2025 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology
The influence of organisational and policymaker capacity on policymakers’ engagement with, and use of research in health policymaking.
No full textBased on the SPIRIT Action Framework as described in: Redman, S., Turner, T., Davies, H., Williamson, A., Haynes, A., Brennan, S.,… Green, S. (2015). The SPIRIT Action Framework: A structured approach to selecting and testing strategies to increase the use of research in policy. Soc Sci Med, 136–137, 147–155. doi: 10.1016/j.socscimed.2015.05.009.</p
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