On this Picostat.com statistics page, you will find information about the HELPmiss data set which pertains to Health Evaluation and Linkage to Primary Care. The HELPmiss data set is found in the mosaicData R package. You can load the HELPmiss data set in R by issuing the following command at the console data("HELPmiss"). This will load the data into a variable called HELPmiss. If R says the HELPmiss data set is not found, you can try installing the package by issuing this command install.packages("mosaicData") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the HELPmiss R data set. The size of this file is about 62,531 bytes.
Health Evaluation and Linkage to Primary Care
The HELP study was a clinical trial for adult inpatients recruited from a
detoxification unit. Patients with no primary care physician were randomized
to receive a multidisciplinary assessment and a brief motivational intervention
or usual care, with the goal of linking them to primary medical care.
Data frame with 470 observations on the following variables.
age subject age at baseline (in years)
anysub use of any substance post-detox: a factor with levels
cesd Center for Epidemiologic Studies Depression measure of depressive symptoms at baseline (higher scores indicate more symptoms)
d1 lifetime number of hospitalizations for medical problems (measured at baseline)
daysanysub time (in days) to first use of any substance post-detox
dayslink time (in days) to linkage to primary care
drugrisk Risk Assessment Battery drug risk scale at baseline
e2b number of times in past 6 months entered a detox program (measured at baseline)
female 0 for male, 1 for female
sex a factor with levels
g1b experienced serious thoughts of suicide in last 30 days (measured at baseline): a factor with levels
homeless housing status: a factor with levels
i1 average number of drinks (standard units) consumed per day, in the
past 30 days (measured at baseline)
i2 maximum number of drinks (standard units) consumed per day, in the
past 30 days (measured at baseline)
id subject identifier
indtot Inventory of Drug Use Consequences (InDUC) total score (measured at baseline)
linkstatus post-detox linkage to primary care (0 = no, 1 = yes)
link post-detox linkage to primary care:
mcs SF-36 Mental Component Score (measured at baseline, higher scores are better)
pcs SF-36 Physical Component Score (measured at baseline, higher scores are better)
pss_fr perceived social support by friends (measured at baseline)
racegrp race/ethnicity: levels
satreat any BSAS substance abuse treatment at baseline:
sexrisk Risk Assessment Battery sex risk score (measured at baseline)
substance primary substance of abuse:
treat randomized to HELP clinic:
Eligible subjects were adults, who spoke Spanish or English, reported alcohol,
heroin or cocaine as their first or second drug of choice, resided in proximity
to the primary care clinic to which they would be referred or were homeless.
Patients with established primary care relationships they planned to continue,
significant dementia, specific plans to leave the Boston area that would
prevent research participation, failure to provide contact information for
tracking purposes, or pregnancy were excluded.
Subjects were interviewed at baseline during their detoxification
stay and follow-up interviews were undertaken every 6 months for 2
years. A variety of continuous, count, discrete, and survival time
predictors and outcomes were collected at each of these five
This dataset is a superset of the HELPrct data with 17 subjects with
partially observed data on some of the baseline variables. This is
a subset of the HELPfull data which includes 5 timepoints and many
Samet JH, Larson MJ, Horton NJ, Doyle K, Winter M, and Saitz R. Linking alcohol and
drug-dependent adults to primary medical care:
A randomized controlled trial of
a multi-disciplinary health intervention in a detoxification unit.
Addiction, 2003; 98(4):509-516.
HELPrct , and
Dataset imported from https://www.r-project.org.