scholarly journals A lifespan perspective on decision‐making: A cross‐sectional comparison of middle childhood, young adulthood, and older adulthood

2021 ◽  
Author(s):  
Stefanie Lindow ◽  
Anna Lang
Keyword(s):  
Decision Making ◽  
Young Adulthood ◽  
Middle Childhood ◽  
Cross Sectional ◽  
Older Adulthood

scholarly journals Problem-Drinking Across the Lifespan: Cross-Sectional Versus Longitudinal Effects Among Midlife and Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1051-1052
Author(s):  
Thomas Britton ◽  
Annabel Kady ◽  
Yimei Li ◽  
Angelo DiBello ◽  
Matthew Lee
Keyword(s):  
Young Adulthood ◽  
Problem Drinking ◽  
Developmental Change ◽  
Age Effects ◽  
Problem Drinkers ◽  
Cross Sectional ◽  
Older Adulthood ◽  
Age Related ◽  
Longitudinal Effects ◽  
Partition Test

Abstract When considering problem drinking from a lifespan-developmental perspective, an often-stated premise is that problem drinking escalates during adolescence, peaks around early young adulthood, and then declines throughout the remainder of the lifespan. However, while there is a strong empirical basis for such changes throughout adolescence and young adulthood, the notion of continued declines throughout midlife and older adulthood is less firmly established and based primarily on cross-sectional data. Thus, this study contrasted cross-sectional versus longitudinal age effects on problem-drinking changes across the lifespan, with particular focus on midlife and older adulthood. Analyses used data from a large, two-wave, U.S.-representative sample. We generated descriptive “porcupine figures” graphically depicting both cross-sectional and longitudinal age effects simultaneously, and we estimated mixed-ANOVAs to partition, test, and contrast cross-sectional versus longitudinal age effects. As expected, analyses confirmed the well-known rise and fall of problem drinking across young adulthood in both cross-sectional and longitudinal age effects. In contrast, in midlife and older adulthood, only cross-sectional age effects were consistent with the notion of continued age-related declines throughout these ages, whereas the longitudinal data showed a mixture of stability and escalation at these ages. Age-confounded cohort effects are one plausible explanation for how cross-sectional data can lead to spurious conclusions about developmental change. By potentially yielding a more accurate understanding of lifespan-developmental change in midlife and older adulthood, findings like ours could help guide lifespan-developmentally-informed interventions for midlife and older-adult problem drinkers; an objective of increasing importance in light of the ongoing aging of the U.S. population.

Knowledge, Attitudes and associated factors to Use District Health Information System (DHIS2 data) for decision making among health professionals in a Resource limited settings: Cross-sectional Survey (Preprint)

2020 ◽  
Author(s):  
Shuma Gosha Kanfe ◽  
Nebyu Demeke Mengiste ◽  
Mohammedjud Hassen Ahmed ◽  
Gebiso Roba Debele ◽  
Berhanu Fikadie Endehabtu
Keyword(s):  
Decision Making ◽  
Health Professionals ◽  
Associated Factors ◽  
Good Knowledge ◽  
Cross Sectional Survey ◽  
District Health ◽  
Cross Sectional ◽  
Determinant Factors ◽  
Knowledge And Attitudes ◽  
Health Need

BACKGROUND Evidence based practice is a key to increase effectiveness and efficiency of quality health services. To achieve this, utilization of health facility data (DHIS2 data) is required which is determined by knowledge and attitudes of health professionals. Thus, this study aimed to assess knowledge and attitudes of health professionals to use DHIS2 data for decision making. OBJECTIVE This study aimed to assess the knowledge, attitudes and its associated factors among health professionals to use DHIS2 data for decision making at South west of Ethiopia 2020 METHODS Cross sectional quantitative study methods was conducted to assess Knowledge and Attitudes of health professionals to use DHIS2 data. A total of 264 participants were approached. SPSS version 22 software was used for data entry and analysis. Descriptive and analytical statistics including Bivariable and Multivariable analyses was done RESULTS Overall 130(49.2%) of the respondents had good knowledge to use DHIS2 data (95% CI: [43, 55.3]), whereas over 149 (56.4%) of the respondents had favorable attitudes towards the use of DHIS2 data for decision making purpose (95% CI: [53.2, 59.8]). Skills [AOR=2.20,95% CI:(1.16, 4.19)], Age [AOR= 1.92, 95% CI: (1.03, 3.59)] ,Resources[AOR=2.56, 95% CI:(1.35,4.86)], Staffing[AOR= 2.85, 95% CI : (1.49, 5.48)] and Experiences[AOR= 4.66, 95% CI: (1.94, 5.78)] were variables associated with knowledge to use DHIS2 data whereas Training [AOR= 5.59, 95% CI: (2.48, 5.42)], Feedback [AOR= 4.08, 95% CI: (1.87, 8.91)], Motivation [AOR=2.87, 95% CI: (1.36, 6.06)] and Health need [AOR=2.32, 95% CI: (1.10-4.92)] were variables associated with attitudes of health professionals to use DHIS2 data CONCLUSIONS In general, about half of the study participants had good knowledge of DHIS2 data utilization whereas more than half of respondents had favorable attitudes. Skills, resources, ages, staffing and experiences were the most determinant factors for the knowledge to use DHIS2 data whereas health need, motivation, feedback and training were determinant factors for attitudes to use DHIS2 data

Age differences in broader autism phenotype traits from young adulthood to older adulthood

2021 ◽  
Author(s):  
William J. Chopik ◽  
Jeewon Oh ◽  
Amy K. Nuttall ◽  
Katharine N. Thakkar ◽  
Brooke Ingersoll
Keyword(s):  
Young Adulthood ◽  
Age Differences ◽  
Broader Autism Phenotype ◽  
Older Adulthood ◽  
Autism Phenotype

scholarly journals Evaluation of the Use of Shared Decision Making in Breast Cancer: International Survey

2021 ◽  
Vol 18 (4) ◽  
pp. 2128
Author(s):  
Marta Maes-Carballo ◽  
Manuel Martín-Díaz ◽  
Luciano Mignini ◽  
Khalid Saeed Khan ◽  
Rubén Trigueros ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Decision Making ◽  
Shared Decision Making ◽  
Health Professionals ◽  
Cross Sectional Study ◽  
Shared Decision ◽  
Online Questionnaire ◽  
Cross Sectional ◽  
Professional Societies ◽  
New Policies

Objectives: To assess shared decision-making (SDM) knowledge, attitude and application among health professionals involved in breast cancer (BC) treatment. Materials and Methods: A cross-sectional study based on an online questionnaire, sent by several professional societies to health professionals involved in BC management. There were 26 questions which combined demographic and professional data with some items measured on a Likert-type scale. Results: The participation (459/541; 84.84%) and completion (443/459; 96.51%) rates were high. Participants strongly agreed or agreed in 69.57% (16/23) of their responses. The majority stated that they knew of SDM (mean 4.43 (4.36–4.55)) and were in favour of its implementation (mean 4.58 (4.51–4.64)). They highlighted that SDM practice was not adequate due to lack of resources (3.46 (3.37–3.55)) and agreed on policies that improved its implementation (3.96 (3.88–4.04)). The main advantage of SDM for participants was patient satisfaction (38%), and the main disadvantage was the patients’ paucity of knowledge to understand their disease (24%). The main obstacle indicated was the lack of time and resources (40%). Conclusions: New policies must be designed for adequate training of professionals in integrating SDM in clinical practice, preparing them to use SDM with adequate resources and time provided.

Observer Ratings of Shared Decision Making Do Not Match Patient Reports: An Observational Study in 5 Family Medicine Practices

2020 ◽  
Vol 41 (1) ◽  
pp. 51-59
Author(s):  
Gisèle Diendéré ◽  
Imen Farhat ◽  
Holly Witteman ◽  
Ruth Ndjaboue
Keyword(s):  
Decision Making ◽  
Family Medicine ◽  
Risk Communication ◽  
Shared Decision Making ◽  
Cross Sectional Study ◽  
Clinical Encounter ◽  
Values Clarification ◽  
Shared Decision ◽  
Cross Sectional ◽  
Medical Consultations

Background Measuring shared decision making (SDM) in clinical practice is important to improve the quality of health care. Measurement can be done by trained observers and by people participating in the clinical encounter, namely, patients. This study aimed to describe the correlations between patients’ and observers’ ratings of SDM using 2 validated and 2 nonvalidated SDM measures in clinical consultations. Methods In this cross-sectional study, we recruited 238 complete dyads of health professionals and patients in 5 university-affiliated family medicine clinics in Canada. Participants completed self-administered questionnaires before and after audio-recorded medical consultations. Observers rated the occurrence of SDM during medical consultations using both the validated OPTION-5 (the 5-item “observing patient involvement” score) and binary questions on risk communication and values clarification (RCVC-observer). Patients rated SDM using both the 9-item Shared Decision-Making Questionnaire (SDM-Q9) and binary questions on risk communication and values clarification (RCVC-patient). Results Agreement was low between observers’ and patients’ ratings of SDM using validated OPTION-5 and SDM-Q9, respectively (ρ = 0.07; P = 0.38). Observers’ ratings using RCVC-observer were correlated to patients’ ratings using either SDM-Q9 ( rpb = −0.16; P = 0.01) or RCVC-patients ( rpb = 0.24; P = 0.03). Observers’ OPTION-5 scores and patients’ ratings using RCVC-questions were moderately correlated ( rφ = 0.33; P = 0.04). Conclusion There was moderate to no alignment between observers’ and patients’ ratings of SDM using both validated and nonvalidated measures. This lack of strong correlation emphasizes that observer and patient perspectives are not interchangeable. When assessing the presence, absence, or extent of SDM, it is important to clearly state whose perspectives are reflected.

scholarly journals Prelicensure Nursing Students’ COVID-19 Attitude Impact on Nursing Career Decision during Pandemic Threat in Taiwan: A Cross-Sectional Study

2021 ◽  
Vol 18 (6) ◽  
pp. 3272
Author(s):  
Shu-Chun Lin ◽  
Lee-Fen Ni ◽  
Yu-Ming Wang ◽  
Shu Hsin Lee ◽  
Hung-Chang Liao ◽  
...  
Keyword(s):  
Decision Making ◽  
Nursing Students ◽  
Perceived Control ◽  
Career Decision ◽  
Cross Sectional Study ◽  
Attitude Scale ◽  
Sectional Study ◽  
Career Decision Making ◽  
Cross Sectional ◽  
Prelicensure Nursing

The COVID-19 pandemic may cause a nursing shortage. Prelicensure nursing students who are exposed to high-stress COVID-19 events are related to defective career decision-making. This study validated the COVID-19 attitude scale and clarified how their attitudes about COVID-19 affected their behavioral intentions toward career decision-making. We conducted a cross-sectional study and recruited a convenience sample of 362 prelicensure nursing students from Northern and Central Taiwan. Two measurements were applied, including the Nursing Students Career Decision-making instrument and COVID-19 attitude scale. We used AMOS (version 22.0) to perform a confirmatory factor analysis. The Cronbach α of the COVID-19 attitude scale was 0.74 and consisted of four factors. The most positive attitude was the nursing belief factor, and the least positive factor was emotional burden. Prelicensure nursing students’ COVID-19 attitudes were significantly positively associated with their career decision-making attitudes and perceived control (ß = 0.41 and ß = 0.40, respectively; p < 0.001). All the key latent variables explained significantly 23% of the variance in the career decision-making behavioral intentions module. In conclusion, the COVID-19 attitude scale is valid. Although the prelicensure nursing students’ COVID-19 attitudes had no direct effect on career decision-making intentions, they had a direct effect on career decision-making attitudes and the perceived control.

scholarly journals Contribution of IQ in young adulthood to the associations of education and occupation with cognitive ability in older age

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Insa Feinkohl ◽  
Petra Kozma ◽  
Friedrich Borchers ◽  
Simone J. T. van Montfort ◽  
Jochen Kruppa ◽  
...  
Keyword(s):  
Higher Education ◽  
Cognitive Ability ◽  
Young Adulthood ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Late Life ◽  
Summary Score ◽  
Unique Contribution ◽  
Cross Sectional ◽  
Sectional Analysis

Abstract Background Studies suggest that a higher education and occupation are each associated with a higher late-life cognitive ability, but their inter-relationships in their association with cognitive ability and the contribution of peak IQ in young adulthood (‘pre-morbid IQ’) often remain unclear. Methods Cross-sectional analysis of 623 participants aged ≥65 years of the BioCog study. Education was coded according to the International Standard Classification of Education (ISCED; range 1 to 6). Occupation was coded as ‘semi/unskilled’, ‘skilled manual’, ‘skilled non-manual’, ‘managerial’, ‘professional’. A summary score of global ability (‘g’) was constructed from six cognitive tests. Pre-morbid IQ was estimated from vocabulary. The Geriatric Depression Scale assessed symptoms of depression. Age- and sex-adjusted analyses of covariance were performed. Results Education (partial eta2 0.076; p < 0.001) and occupation (partial eta2 = 0.037; p < 0.001) were each significantly associated with g. For education, the association was attenuated but remained statistically significant when pre-morbid IQ was controlled for (partial eta2 0.036; p < 0.001) and was unchanged with additional adjustment for depression (partial eta2 0.037; p < 0.001). For occupation, the association with g was no longer significant when pre-morbid IQ (partial eta2 = 0.015; p = 0.06) and depression (partial eta2 = 0.011; p = 0.18) were entered as covariates in separate steps. When education and occupation were entered concurrently into the fully adjusted model, only education was independently associated with g (partial eta2 0.030; p < 0.001; occupation, p = 0.93). Conclusion While a higher education and a higher occupation were each associated with a higher late-life cognitive ability, only for education some unique contribution to cognitive ability remained over and above its relationship with pre-morbid IQ, depression, and occupation. Further research is needed to address whether a longer time spent in education may promote late-life cognitive ability.

scholarly journals Public knowledge, preferences and experiences about medical substitute decision-making: a national cross-sectional survey

2021 ◽  
pp. bmjspcare-2020-002619
Author(s):  
Marcus Sellars ◽  
Julien Tran ◽  
Linda Nolte ◽  
Ben White ◽  
Craig Sinclair ◽  
...  
Keyword(s):  
Decision Making ◽  
Online Survey ◽  
Public Knowledge ◽  
Cross Sectional Survey ◽  
Medical Decisions ◽  
Cross Sectional ◽  
Minimal Support ◽  
Substitute Decision Maker ◽  
Final Sample ◽  
Advance Care

ObjectiveTo describe the Australian adult public’s knowledge and experiences regarding substitute decision-making for medical decisions and their preferences for obtaining information about the substitute decision-maker (SDM) role.MethodsThis is a national cross-sectional online survey of the Australian adult public. The survey examined participants’ advance care planning (ACP) awareness and experience, SDM experiences and preferences for obtaining more information about SDM, and participant knowledge about SDM.ResultsOf 1586 people who opened the survey, 1120 (70.6%) were included in the final sample. 13% (n=142) of participants indicated they had acted as an SDM. A median score of two correct responses out of five showed low to moderate knowledge about the SDM role among all participants, with only 33% reporting awareness of SDM laws existing in Australia. While most (59%) participants ranked a health professional as their preferred source of obtaining information about supporting SDMs, few participants who had been an SDM (n=64, 45%) reported obtaining any support in making medical decisions. The median SDM knowledge scores for people who had discussed ACP (3.0 vs 2.0, U=1 45 222, z=6.910, p<0.001), documented their ACP preferences (3.0 vs 2.0, U=71 984, z=4.087, p<0.001) or acted in the SDM role (3.0 vs 2.0, U=56 353, z=−3.694, p<0.001) were significantly higher compared with those who had not.ConclusionsThe Australian public may have low to moderate knowledge about the SDM role and access only minimal support when making challenging medical decisions.

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