Chronicity of neuropsychiatric hospitalization: A predictive scale.

The use of demographic characteristics in predicting length of stay in a state mental hospital.

“…Equation 3 further yields a probability of .89 that the patient will remain in the hospital 30 days or more. On the basis of this information the prediction would be that The procedure for decision as to whether the patient is a long-or shortstay individual is based upon comparison of the two probabilities.…”

“…Equation 3 was first applied to predict length of hospitalization by using less than 30 days and 30 days or more as the two length of hospitalization categories, Y1 The equation was also applied using categories of less than 90 days and 90 days or more, less than 60 days and 60 days or more, and the categories less than 370 days and 370 days or more. Four categories were also used, less than 30 days, 30 through 59 days, 60 through 89 days, and 90 days or longer.…”

Mmpi characteristics and correlates among adolescent psychiatric inpatients

“…I n addition, Dudley et al (1972) have examined the effects of a variety of background variables on adolescent inpatient profiles with largely negative results, but did not attempt to correlate MMPI response patterns to patient's behaviors and symptomatology while hospitalized. While several studies have examined the utility of MMPI data in predicting length of psychiatric hospitalization among adult patient populations (Anker, 1964; Johnson & McNeal, 1964;Watson, 1968), comparable research has not been attempted in adolescent inpatient samples.The purposes of the present study were to: (1) describe the mean MMPI admission profiles of male and female adolescent inpatients; (2) examine the relationships between MMPI response based diagnostic groupings and selected demographic, symptomatological and treatment factors ; (3) determine the utility of MMPI admission data in predicting adolescents' length of psychiatric hospitalization; and (4) identify and label independent constellations of MMPI symptomatology in this adolescent sample that might serve t o condense/reduce the data from 13 MMPI scales to a more economical number of clinically relevant dimensions. …”

“…I n addition, Dudley et al (1972) have examined the effects of a variety of background variables on adolescent inpatient profiles with largely negative results, but did not attempt to correlate MMPI response patterns to patient's behaviors and symptomatology while hospitalized. While several studies have examined the utility of MMPI data in predicting length of psychiatric hospitalization among adult patient populations (Anker, 1964;Johnson & McNeal, 1964;Watson, 1968), comparable research has not been attempted in adolescent inpatient samples.…”

Prediction and monitoring of resource utilization in a community-oriented mental hospital.

“…Studies of factors associated with length of hospitalization have been reported by Lindemann, Fairweather, Stone, Smith, and London (1959),' using demographic characteristics and clinical judgments, by Anker (1961) ,2 using MMPI responses, by Johnston and McNeal (1964) ,3 using MMPI scale scores and demographic characteristics, by Johnston and McNeal (1967),4 using clinical predictions, by Fulton and Lorei (1967) ,5 using life history variables, and by Daniel, Brandt, and Costiloe (1968) ,6 using demographic characteristics. With the exception of the latter study which was based on data from state mental hospitals in Oklahoma, all other studies were based on data collected from psychiatric patients in VA hospitals.…”