Housekeeping may still be the main occupation of American women, but it is no longer the only occ... more Housekeeping may still be the main occupation of American women, but it is no longer the only occupation or source of identity for most of them. In the past, a woman's sense of identity and her main source of satisfaction centered on her husband's job, the home, and the family. Today, there are alternatives opening to increasing numbers of the female population. In addition to the fact that half of all women between the ages of 18 and 64 are presently in the labor force, Department of Labor studies show that 9 out of 10 of women will work outside of the home at some time in their lives.
Organizational Dynamics (2016) 45, 258-270 § I would like to thank Lauren Keating, Peter Heslin, ... more Organizational Dynamics (2016) 45, 258-270 § I would like to thank Lauren Keating, Peter Heslin, Anne Barodel and several anonymous reviewers who made helpful comments to improve the quality of this paper. 1 *Names are pseudonyms.
[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume IV: Emerging Technologies and Applications Track, 1989
I n general, t h e r e has been inadequate i n t e g r a t i o n between t h e i n f o r m a t i ... more I n general, t h e r e has been inadequate i n t e g r a t i o n between t h e i n f o r m a t i o n systems ( I S ) and human resource management (HRM) f i e l d s .
Objectives: To develop and validate a Multidimensional Prognostic Index (MPI) for mortality based... more Objectives: To develop and validate a Multidimensional Prognostic Index (MPI) for mortality based on information collected by the Multidimensional Assessment Schedule (SVaMA), the recommended standard tool for multidimensional assessment of community-dwelling older subjects in seven Italian regions. Design: Prospective cohort study. Participants: Community-dwelling subjects older than 65 years who underwent an SVaMA evaluation from 2004 to 2010 in Padova Health District, Veneto, Italy. Measurements: The MPI-SVaMA was calculated as a weighted (weights were derived from multivariate Cox regressions) linear combination of the following nine domains: age, sex, main diagnosis, and six scores, ie, the Short Portable Mental Status Questionnaire, the Barthel index (contains two domains: activities of daily living and mobility), the Exton-Smith scale, the Nursing Care Needs, and the Social Network Support by a structured interview. Subjects were followed for a median of 2 years; those who had not died were followed for at least 1 year. The MPI-SVaMA score ranged from 0 to 1 and 3 grades of severity of the MPI-SVaMA were calculated on the basis of estimated cutoffs. Discriminatory power and calibration were further assessed. Results: A total of 12,020 subjects (mean age 81.84 AE 7.97 years) were included. Two random cohorts were selected: (1) a development cohort, ie, 7876 subjects (mean age 81.79 AE 8.05, %females: 63.1) and (2) a validation cohort, ie, 4144 subjects (mean age: 81.95 AE 7.83, %females: 63.7). The discriminatory power for mortality of MPI-SVaMA was 0.828 (95% CI 0.817e0.838) and 0.832 (95% CI 0.818e0.845) at 1 month and 0.791 (95% CI 0.784e0.798) and 0.792 (95% CI 0.783e0.802) at 1 year in development and validation cohorts, respectively. MPI-SVaMA results were well calibrated showing lower than 10% differences between predicted and observed mortality, both in development and validation cohorts. Conclusions: The MPI-SVaMA is an accurate and well-calibrated prognostic tool for mortality in community-dwelling older subjects, and can be used in clinical decision making.
Contact: Ellen Ernst Kossek, School of Human Resources & Labor Relations; Michigan State Universi... more Contact: Ellen Ernst Kossek, School of Human Resources & Labor Relations; Michigan State University, East Lansing, Michigan 48824-1032: Email: kossek@ msu. edu. We wish to thank Mirea las Heras, Steven Poelmans and Jeff Greenhaus for their support and extreme patience on this chapter. We wish to thank attendees of the work–family policies subgroups at the IESE work–family conferences for their passionate discussions and contributions of ideas to this paper.
Housekeeping may still be the main occupation of American women, but it is no longer the only occ... more Housekeeping may still be the main occupation of American women, but it is no longer the only occupation or source of identity for most of them. In the past, a woman's sense of identity and her main source of satisfaction centered on her husband's job, the home, and the family. Today, there are alternatives opening to increasing numbers of the female population. In addition to the fact that half of all women between the ages of 18 and 64 are presently in the labor force, Department of Labor studies show that 9 out of 10 of women will work outside of the home at some time in their lives.
Organizational Dynamics (2016) 45, 258-270 § I would like to thank Lauren Keating, Peter Heslin, ... more Organizational Dynamics (2016) 45, 258-270 § I would like to thank Lauren Keating, Peter Heslin, Anne Barodel and several anonymous reviewers who made helpful comments to improve the quality of this paper. 1 *Names are pseudonyms.
[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume IV: Emerging Technologies and Applications Track, 1989
I n general, t h e r e has been inadequate i n t e g r a t i o n between t h e i n f o r m a t i ... more I n general, t h e r e has been inadequate i n t e g r a t i o n between t h e i n f o r m a t i o n systems ( I S ) and human resource management (HRM) f i e l d s .
Objectives: To develop and validate a Multidimensional Prognostic Index (MPI) for mortality based... more Objectives: To develop and validate a Multidimensional Prognostic Index (MPI) for mortality based on information collected by the Multidimensional Assessment Schedule (SVaMA), the recommended standard tool for multidimensional assessment of community-dwelling older subjects in seven Italian regions. Design: Prospective cohort study. Participants: Community-dwelling subjects older than 65 years who underwent an SVaMA evaluation from 2004 to 2010 in Padova Health District, Veneto, Italy. Measurements: The MPI-SVaMA was calculated as a weighted (weights were derived from multivariate Cox regressions) linear combination of the following nine domains: age, sex, main diagnosis, and six scores, ie, the Short Portable Mental Status Questionnaire, the Barthel index (contains two domains: activities of daily living and mobility), the Exton-Smith scale, the Nursing Care Needs, and the Social Network Support by a structured interview. Subjects were followed for a median of 2 years; those who had not died were followed for at least 1 year. The MPI-SVaMA score ranged from 0 to 1 and 3 grades of severity of the MPI-SVaMA were calculated on the basis of estimated cutoffs. Discriminatory power and calibration were further assessed. Results: A total of 12,020 subjects (mean age 81.84 AE 7.97 years) were included. Two random cohorts were selected: (1) a development cohort, ie, 7876 subjects (mean age 81.79 AE 8.05, %females: 63.1) and (2) a validation cohort, ie, 4144 subjects (mean age: 81.95 AE 7.83, %females: 63.7). The discriminatory power for mortality of MPI-SVaMA was 0.828 (95% CI 0.817e0.838) and 0.832 (95% CI 0.818e0.845) at 1 month and 0.791 (95% CI 0.784e0.798) and 0.792 (95% CI 0.783e0.802) at 1 year in development and validation cohorts, respectively. MPI-SVaMA results were well calibrated showing lower than 10% differences between predicted and observed mortality, both in development and validation cohorts. Conclusions: The MPI-SVaMA is an accurate and well-calibrated prognostic tool for mortality in community-dwelling older subjects, and can be used in clinical decision making.
Contact: Ellen Ernst Kossek, School of Human Resources & Labor Relations; Michigan State Universi... more Contact: Ellen Ernst Kossek, School of Human Resources & Labor Relations; Michigan State University, East Lansing, Michigan 48824-1032: Email: kossek@ msu. edu. We wish to thank Mirea las Heras, Steven Poelmans and Jeff Greenhaus for their support and extreme patience on this chapter. We wish to thank attendees of the work–family policies subgroups at the IESE work–family conferences for their passionate discussions and contributions of ideas to this paper.
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