1997
DOI: 10.1192/bjp.170.1.37
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The mental health residential care study: Predicting costs from resident characteristics

Abstract: The associations uncovered by these analyses can inform commissioners' planning and purchasing activities, at both the macro and micro levels, by revealing those resident needs and circumstances that are associated with higher costs.

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Cited by 39 publications
(31 citation statements)
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“…As noted earlier, it is important to compare like with like; if the costs cover a similar scope, are the patient groups similar? Thus, to address Question B, a series of multiple regression analyses were estimated (Chisholm et al. 1997b).…”
Section: Resultsmentioning
confidence: 99%
“…As noted earlier, it is important to compare like with like; if the costs cover a similar scope, are the patient groups similar? Thus, to address Question B, a series of multiple regression analyses were estimated (Chisholm et al. 1997b).…”
Section: Resultsmentioning
confidence: 99%
“…A cost function analysis explored the impact of baseline factors on cost (Knapp, 1998). A limited set of baseline factors (referring agency, age, gender, ethnic group, living situation, comorbidity at entry, HoNOSCA score at entry, level of need at entry, sexualised behaviours at entry, difficult family relationships at entry) were pre‐selected from previous evidence (Byford et al., 2001; Byford, Barber, & Harrington, 2002; Chisholm et al., 1997; McCrone et al., 1998) and clinical experience. Univariate and multiple regression explored associations between the pre‐specified baseline variables and total cost using the same methodology as outlined above for outcomes.…”
Section: Methodsmentioning
confidence: 99%
“…Other variables reflecting, for example, socioeconomic background or support from family and friends may help explain more of this variation. However, a low R 2 with patient level cost data is not unusual in similar populations 14,15 and does not invalidate the results. The fact that the model passed the RESET test means that the inference of a trend towards reduced costs was correct and that the model used was appropriate.…”
Section: Total Costmentioning
confidence: 93%