STEP 2: Select your data collection methods and sources
Now that you have determined the activities and
outcomes you want to measure and the indicators you
will use to measure progress on them, you need to
select data collection methods and sources.
Consider whether you can use existing data
sources (secondary data collection) to measure your
indicators, or if you will need to collect new data
(primary data collection).
Secondary Data Collection
Existing data collection is less time consuming and
human resource intensive than primary data collection.
Using data from existing systems has the advantages
of availability of routinely collected data that has
been vetted and checked for accuracy. However, you
will have less exibility in the type of data collected,
and accessing data from existing systems may be
costly. Examples of existing data sources that may be
relevant for health workforce training evaluation:
1.
Student tracking systems such as eValue that
show demographics of patients that trainees have
seen, and the health conditions of those patients.
2. Traditional and non-traditional sources for
surveying graduates. Traditional surveys
distributed through the alumni ofce, or (non-
traditional) LinkedIn or Facebook groups.
3. Existing clinical data sources reported by
organization. For safety-net clinics, this could
be clinical performance measures reported
through the Uniform Data System (UDS) to
HRSA. These measures include chronic disease
management and preventive health indicators
for cancer screening, immunizations, behavioral,
and oral health, and are reported on an annual
basis for all patients within the health center
organization. Consider other secondary sources
available based on health care enhancement
and payment based on value. Examples include
measures being reported as part of participation
in an accountable care organization, or for
some organizations participating in CMS-
funded practice transformation efforts, such as
Comprehensive Primary Care Initiative (CPCi).
Clinics that are part of a Medicaid Managed
Care organization may receive summary claims
data or clinical feedback on patient use of the
hospital and emergency room.
4. Patient satisfaction surveys from the Consumer
Assessment of Healthcare Providers and
Systems (CAHPS), or other sources such as the
Midwest Clinicians’ Networks’ surveys specic
to behavioral health and employee satisfaction.
Primary Data Collection
The benet of primary data collection is that you can
tailor it to your health workforce training evaluation
questions. However, it is generally more time
consuming to collect primary data. Primary data
collection methods include:
• Surveys: personal interviews, telephone
interviews, instruments completed by respondent
received through regular or e-mail.
• Group discussions/focus groups.
• Observation.
• Document review, such as medical records,
patient diaries, logs, minutes of meetings, etc.
Quantitative versus Qualitative Data
You will also want to consider whether you will collect
quantitative or qualitative data or a mix of both.
Quantitative data are numerical data or information
that can be converted into numbers. You can use
quantitative data to measure your SMART objectives
(for more on developing SMART objectives, see
Module 3). Examples:
• Number of trainees.
• Percent of trainees who have graduated.
• Average number of trainees who pass boards on
rst attempt.
• Ratio of trainees to faculty.
Qualitative data are non-numerical data that can help
contextualize your quantitative data by giving you
information to help you understand why, how, and
what is happening with your health workforce training
program. For example, you may want to get the opinions
of faculty, trainees, and clinic staff on why something is
working well or not well. Examples include:
• Meeting minutes to document program
implementation.
• Interviews with trainees, providers, faculty,
or patients.
• Open-ended questions on surveys.
• Trainee writing, essays, or journal entries.
• Focus groups with former or current students.
HEALTH WORKFORCE TRAINING PROGRAM EVALUATION TOOLKIT: MODULE 4 | PAGE 2