Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 7429366

Psychosocial problems and outcome: an external validity study.

B Berkman
View original source ↗Export metadata ↓

Abstract

Six acute-care teaching hospitals participated in a study to determine the validity of a problem-outcome classification system. Three hundred and forty-three randomly selected clients of 152 social workers served as external sources to determine the validity of the instrument. In 77 percent of the problems, social workers and clients agreed on the nature of the problem dealt with during intervention. However, workers tended to give more negative values to their assessments of outcome of intervention than did their clients.

Explore related subjects

Data CollectionHealth Services ResearchHospital DepartmentsHumansOutcome and Process Assessment, Health CarePsychology, SocialSocial ProblemsSocial WorkStatistics as TopicUnited StatesJournal Article

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

B Berkman. 1980. Psychosocial problems and outcome: an external validity study.. https://doi.org/10.1093/hsw%2F5.3.5

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗