The Effect of Drug Sampling Policies on Residents’
Prescribing
Dan Brewer, MD
Background and Objectives: Many clinical
educators feel that the availability of drug samples has an
influence on the prescribing habits of residents. Therefore,
many programs limit the availability of samples. This study
compares the prescriptions written in three family practice
residency programs with different policies on availability
of drug samples.
Methods: We used a prospective observational design
to compare three programs of similar size and curriculum but
which differed in sampling policies. One program had no limitation
of samples, one program limited samples to specifically approved
drugs, and one program did not permit drug samples in the
clinic. Carbonless duplicate prescriptions were collected
and collated over the first 5 months of 1996, and prescribing
of nonsteroidal anti-inflammatory drugs (NSAIDs) was monitored.
Results: There was a greater percentage of generic
prescriptions and use of preferred NSAIDs but no decrease
in the “cost per prescription” in the programs that limited
or eliminated samples when compared to the program with an
“open” sample policy. There was no statistically significant
difference between the program with no samples and the program
that permitted only approved drugs.
Conclusions: The elimination or control of available
drug samples is associated with differences in the prescriptions
written by family practice residents, but this effect is fairly
small.
Educational Research and
Methods
(Fam Med 1998;30(7):482-6.)
The Accuracy of Patient Encounter Logbooks Used by Family
Medicine Clerkship Students
Christopher T. Patricoski, MD; Kennard Shannon, MD,
PhD; Gregory A. Doyle, MD
Background:
Family medicine predoctoral programs frequently have medical
students record patient diagnoses in logbooks. Little is known
about the accuracy of such logbooks. No studies have compared
patient records dictated by students with cases recorded in
logbooks.
Methods: Over 2 years, all
patient encounters dictated by 79 medical students during
their 8-week family medicine rotations were recorded and compared
with information in the students’ logbooks.
Results: Students dictated
2,520 patient encounters but only recorded 2,085 (82.7%) of
them in their logbooks. Still, this rate of inclusion is higher
than other studies where students did not dictate patient
encounters. On the average, each student saw and dictated
32 patient encounters but omitted five to six from their logs.
There were no significant differences between the 10 honors
and 69 non-honors students in the proportion of patients omitted
from log books.
Conclusions: Medical
students underreport patient encounters in clerkship logbooks.
Keeping a record of the patients dictated by medical students
was helpful in determining the accuracy of students’ logbooks.
Educational Research and Methods
(Fam Med 1998;30(7):487-9.)
Using Practice Genograms
to Understand and Describe Practice Configurations
Helen McIlvain, PhD; Benjamin Crabtree,
PhD; Jim Medder, MD, MPH; Kurt C. Stange, MD, PhD; William
L. Miller MD, MA
Background: Demands
for change in medical practices are coming from multiple sources.
Since interventions to change clinical practice continue to
have limited success, understanding the functional structure
of primary care practices and the dynamics of providing care
have become increasingly important.
Methods: To
portray and understand the primary care office system, we
developed “practice genograms” that describe practice participants
and their relationships with each other. Formal organizational
structure is evaluated using family systems theory and family
of origin genogram techniques.
Results: Practice genograms
provided a more dynamic, relational model than the organizational
chart and promoted identification of relationship strengths
and weaknesses within a practice the same way that family
genograms identify these characteristics in a family system.
Conclusions: Research
implications for the use of the practice genogram include
enhanced data gathering, increased understanding of the complexity
of practices as adaptive systems, and increased understanding
of current and potential approaches to changing practices.
Educational Research and Methods
(Fam Med 1998;30(7):490-6.)
Changes in Residents’
Attitudes and Achievement After Distance Learning Via Two-way
Interactive Video
Yvonne LaRocca Lewis, EdD; Raymond P.
Bredfeldt, MD; Steven W. Strode, MD, MEd; Karen W. D’Arezzo
Background and Objectives:
Training family practice residents in
communities remote from academic medical centers has been
difficult because of the lack of available local subspecialists
and the concomitant need for subspecialists to travel to each
of the remote training sites. To alleviate these problems,
the Area Health Education Centers Program at the University
of Arkansas for Medical Sciences sought to deliver high-quality
presentations to family practice residents at remote locations,
using two-way interactive video. The study 1) assessed the
differences in attitudes of residents before and after a series
of presentations and 2) evaluated the differences in achievement
of residents based on who received the information by two-way
interactive video or with the instructor on-site.
Methods: Four
conferences were broadcast to five remote residency programs,
and two local programs received identical conferences on-site.
Results: There was no difference
in achievement between the two groups, but attitudes toward
learning by interactive video declined.
Conclusions: Interactive
video is a viable instruction method for achievement. The
negative attitude shift toward interactive video may have
been because it was a new experience, or the preparation of
the faculty was inadequate.
Educational Research and Methods
(Fam Med 1998;30(7):497-500.)
Creating a Research
Culture: What We Can Learn From Residencies That Are Successful
in Research
Mark J. DeHaven, PhD; George R. Wilson,
MD; Patricia O’Connor-Kettlestrings
Background and Objectives:
Despite a growing need for family practice
to contribute to the national primary care research agenda,
the specialty is ill-equipped to assume a more active role.
Information about residency programs that are successful in
research is a valuable resource for increasing family medicine’s
research capacity.
Methods: A three-stage investigation
was completed in May 1996, consisting of 1) a telephone survey
of family practice residency program directors, 2) a mail
survey of recent graduates from relatively successful programs
identified in stage 1, and 3) in-depth interviews with the
program directors or research directors identified by combining
data from the first two stages.
Results: Most residents in
the programs included in stage 2 completed a research project
(68.7%) and currently have an interest in practice-based research
(57.2%). Residents from programs selected for the study’s
final stage were more likely to have published a research
article (32% versus 20.3%) and to have completed a project
while a resident (81% versus 60.1%) than those from the programs
not selected. Virtually unanimous characteristics of successful
programs include program director support of research, time
for research, faculty involvement, a research curriculum,
professional support, and opportunities for presenting research.
Conclusions: Individual
family practice residencies can be considered to be at one
of three levels with respect to their level of research activity:
1) relatively undeveloped, 2) developing, or 3) relatively
developed. Programs can expect successful results if they
make research a priority, and means are needed for communicating
successful strategies between programs.
Educational Research and Methods
(Fam Med 1998;30(7):501-7.)
HITS: A Short Domestic
Violence Screening Tool for Use in a Family Practice Setting
Kevin M. Sherin, MD, MPH; James M. Sinacore,
PhD; Xiao-Qiang Li, MD; Robert E. Zitter, PhD; Amer Shakil,
MD
Background and Objectives:
Domestic violence is an important problem that is often not
recognized by physicians. We designed a short instrument for
domestic violence screening that could be easily remembered
and administered by family physicians.
Methods: In phase one of the study,
160 adult female family practice office patients living with
a partner for at least 12 months completed two questionnaires.
One questionnaire was the verbal and physical aggression items
of the Conflict Tactics Scale (CTS). The other was a new four-item
questionnaire that asked respondents how often their partner
physically Hurt, Insulted, Threatened with harm, and Screamed
at them. These four items make the acronym HITS. In phase
two, 99 women, who were self-identified victims of domestic
violence, completed the HITS.
Results: For
phase one, Cronbach’s alpha was .80 for the HITS scale. The
correlation of HITS and CTS scores was .85. For phase two,
the mean HITS scores for office patients and abuse victims
were 6.13 and 15.15, respectively. Optimal data analysis revealed
that a cut score of 10.5 on the HITS reliably differentiated
respondents in the two groups. Using this cut score, 91% of
patients and 96% of abuse victims were accurately classified.
Conclusions: The HITS scale showed
good internal consistency and concurrent validity with the
CTS verbal and physical aggression items. The HITS scale also
showed good construct validity in its ability to differentiate
family practice patients from abuse victims. The HITS scale
is promising as a domestic violence screening mnemonic for
family practice physicians and residents.
"HITS"
|
Please read each of
the following activites and circle the dot that best
indicates the frequency with which you partner acts
in the way depicted.
|
| How often does your partner? |
Never
|
Rarely
|
Sometimes
|
Fairly often
|
Frequently
|
| |
|
|
|
|
|
| 1. Physically
hurt you |
X
|
X
|
X
|
X
|
X
|
| 2. Insult or talk down to
you |
X
|
X
|
X
|
X
|
X
|
| 3. Threaten you
with harm |
X
|
X
|
X
|
X
|
X
|
| 4. Scream or
curse at you |
X
|
X
|
X
|
X
|
X
|
| |
1
|
2
|
3
|
4
|
5
|
|
Each item is scored from 1-5. Thus,
scores for this inventory range from 4-20. A score of
greater than 10 is considered positive.
|
Clinical Research and Methods
(Fam Med 1998;30(7):508-12.)
|