876 resultados para National Council of Jewish Women


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l-r: Sisters Adele Oppenheimer-Nathan, Thekla Oppenheimer-Benedick, Jenny Oppenheimer-Frank and their mother Fanny Oppenheimer

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Testimony and letter of Dr. Max Hamburger about surviving Auschwitz; 1986

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Correspondence, diaries, acount books, pamphlets, and other personal and professional materials pertaining to Jacob da Silva Solis and his descendents.

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Collection includes promotional material such as posters and pamphlets, surveys conducted by the BJE, and press releases. Also includes numerous publications, the majority being bulletins, newsletters, educational material, and bibliographies.

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The records consist of documentation of the American Jewish Committee's project to describe Jewish participation in the United States Armed Forces during World War I. The bulk of the material consists of questionnaires that the AJC sent to servicemen to determine Jewish identity, which contain information on personal identification and details of military service. Responses to the questionnaire come from both Jews and non-Jews. In addition, the collection contains office papers concerning the project and a ledger of manuscripts. The manuscripts document the distribution of records the Office of Jewish War Records collected, as well as list Jews who died or were given military honors.

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Sampling design is critical to the quality of quantitative research, yet it does not always receive appropriate attention in nursing research. The current article details how balancing probability techniques with practical considerations produced a representative sample of Australian nursing homes (NHs). Budgetary, logistical, and statistical constraints were managed by excluding some NHs (e.g., those too difficult to access) from the sampling frame; a stratified, random sampling methodology yielded a final sample of 53 NHs from a population of 2,774. In testing the adequacy of representation of the study population, chi-square tests for goodness of fit generated nonsignificant results for distribution by distance from major city and type of organization. A significant result for state/territory was expected and was easily corrected for by the application of weights. The current article provides recommendations for conducting high-quality, probability-based samples and stresses the importance of testing the representativeness of achieved samples.

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Background The size and flexibility of the nursing workforce has positioned nursing as central to the goals of health service improvement. Nursing's response to meeting these goals has resulted in proliferation of advanced practice nursing with a confusing array of practice profiles, titles and roles. Whilst numerous models and definitions of advanced practice nursing have been developed there is scant published research of significant scope that supports these models. Consequently there is an ongoing call in the literature for clarity and stability in nomenclature, and confusion in the health industry on how to optimise the utility of advanced practice nursing. Objectives To identify and delineate advanced practice from other levels of nursing practice through examination of a national nursing workforce. Design A cross-sectional electronic survey of nurses using the validated Advanced Practice Role Delineation tool based on the Strong Model of Advanced Practice. Participants Study participants were registered nurses employed in a clinical service environment across all states and territories of Australia. Methods A sample of 5662 registered nurses participated in the study. Domain means for each participant were calculated then means for nursing position titles were calculated. Position titles were grouped by delineation and were compared with one-way analysis of variance on domain means. The alpha for all tests was set at 0.05. Significant effects were examined with Scheffe post hoc comparisons to control for Type 1 error. Results The survey tool was able to identify position titles where nurses were practicing at an advanced level and to delineate this cohort from other levels of nursing practice, including nurse practitioner. The results show that nurses who practice at an advanced level are characterised by high mean scores across all Domains of the Strong Model of Advanced Practice. The mean scores of advanced practice nurses were significantly different from nurse practitioners in the Direct Care Domain and significantly different from other levels of nurse across all domains. Conclusions The study results show that the nurse practitioner, advanced practice nurse and foundation level registered nurse have different patterns of practice and the Advanced Practice Role Delineation tool has the capacity to clearly delineate and define advanced practice nursing. These findings make a significant contribution to the international debate and show that the profession can now identify what is and what is not advanced practice in nursing.