ONLY FOR ZEEK THE GREEK

a Mock study and survey created by Dr. Helen Salisbury, PhD

DHSC9035 Data Collection for Applied Research Project

Study Description a

Study purpose: To examine whether preventive care has an effect on developing Type II

diabetes.

Participants: 30 adults (18 – 65 years) who visit an urban medical clinic routinely

Study Design: Quantitative descriptive

Inclusion criteria:

 Adults ages 18-65

 HgA1c levels tested within the past 12 months

Exclusion criteria:

 Children < 18 years and adults > 65 years of age

 Individuals who have not had their HgA1c levels tested within the past 12 months

Methods: Participants were consecutively sampled who visited an urban medical clinic. The

admitting nurse reviewed the patient charts to determine whether the patients had their HgA1c

levels tested within the past year. Those meeting the inclusion criteria were asked if they would

be willing to participate in a brief survey. Upon agreement, they were asked to sign an informed

consent which was reviewed by the nurse.

Data collection: Upon signing the Informed Consent, participants completed the demographic

section and the 5-point Likert scale questions on the Preventive Care Survey.* Upon completion

of the brief survey, the admitting nurse completed the bottom portion of the survey instrument,

recording the participants' most recent height, weight, BP, and HgA1c levels, measured within

the past 12 months.

a Mock study and survey created by Dr. Helen Salisbury, PhD

Preventive Care Survey a

Demographics

1) What is your age? 2) What is your sex? 3) Please indicate your income range:

< $20,000 $60,000-69,999

$20,000-29,999 $70,000-79,999

$30,000-39,999 $80,000-89,999

$40,000-49,999 $90,000-99,999

$50,000-59,999 > $100,000

Prefer not to answer

4) Please select your highest educational level attained:

High School Community College Bachelor's Master's Doctorate

5) Race (select all that apply)

White/Caucasian

Black/African American

American Indian or Alaska Native

Asian

Native Hawaiian or Other Pacific Islander

Other (please specify)

Prefer not to answer

6) Have you accessed preventive services that are available through your provider?

Yes No

7) If "no", please rank order the following reasons you have not taken advantage of the

preventive services available (if N/A, leave blank).

No insurance

Not covered by my insurance

Don't feel it's necessary

Takes too much time

Can't get out of work for appointments

Physician doesn't emphasize this/think it's necessary

a Mock study and survey created by Dr. Helen Salisbury, PhD

Preventive Care

Please select the degree to which you agree or disagree with the following statements.

My healthcare provider:

Strongly disagree

Disagree Neither agree nor disagree

Somewhat Agree

Strongly Agree

8) recommends annual preventive visits

9) recommends biometric lab tests annually (e.g., lipid profile, HbA1c)

10) recommends imaging screenings at appropriate intervals

11) encourages me to exercise for 30 minutes 2-3 times per week

12) recommends I drink alcohol moderately

13) recommends I stop smoking or don't start

14) recommends I wear protective equipment when engaging in sports

15) recommends I follow a specific diet (e.g., Atkins, Weight Watchers, Mediterranean)

16) recommends I eat less red meat

17) recommends I consume more fresh fruit and vegetables

Thank you for completing this survey! Please do not write below the line.

______________________________________________________________________

a Mock study and survey created by Dr. Helen Salisbury, PhD

To be completed by medical staff only:

HbA1c (latest test result within the past 12 months): ______%

Height (in inches): ______

Weight (in pounds): ______

SBP: ______

DBP: ______

20160818025357preventive_care_hba1c_worksheet_a1_3_.docx

Preventive Care & HbA1c Variable View Worksheet (A1)

Complete this SPSS® Variable View worksheet, ensuring every cell contains the appropriate alphanumeric response setting(s). Like a puzzle, some information is provided for you already. You must fill in the remainder. The recommendation is that you complete this worksheet prior to populating the Variable View tab in the assignment SPSS® dataset (PrevCare_HbA1c.sav).

Here are the SPSS® Variable View column headings, with brief definitions/explanations:

· Name (variable name). These have been provided for you and should not be changed.

· Type (e.g., numeric, date, string)

· Width* (The default is 8. Adjust as appropriate.)

· Decimals (The default is 2. Decimals are only needed if the collected data points should logically be carried out to decimals.)

· Label (Keep labels brief but informative. Labels assist with interpreting your output.)

· Values (Used with nominal and ordinal variables. Nominal variables will have numbers assigned to the categories and ordinal variables will have numbers assigned to the rankings.)

· Missing (Defines the numeric values that should be considered missing [e.g., -99] or out of range [e.g., -98])

· Columns* (The default is 8. Adjust as appropriate.)

· Align (Right is the default. You can adjust to your preferences, although consistency is advised.)

· Measure (Scale is for interval/ratio variables; Ordinal for ordinal; Nominal for nominal. String variables ("text") are automatically defined as nominal.)

· Role (The default is Input. You can retain this setting for all of your variables.)

* Width vs. Columns: "Width" refers to the size of the variable. This should be set based on the largest size data point you are likely to obtain for a given variable. If your responses can range from "1" to "150", for example, your width would be "3". If your responses can range from "1.25" to "150.99", then you width would be "6". Decimals count as characters.

Columns are not the same as Width, although they can be equal. Columns will determine how much of the variable name and accompanying data will be visible on the screen. For ease in "reading" your dataset, always be sure the full name of the variable is visible in Data View. Avoid presenting your dataset in a "squashed" manner as this is difficult to read. Consistency is recommended across your variables, though.

Name	Type	Width	Decimals	Label	Values	Missing	Columns	Align	Measure	Role
ID	Numeric	2	0	Preventive Care Survey Participant ID #	None	None	8	Right	Nominal	Input
Age									Scale
Sex					0 = Male 1 = Female
Income	Numeric					-99
Income_a				Participant income: Prefers not to answer	0 = Not checked 1 = Checked
Educ							8			Input
Race_a - Race_f		1	0	Race (White/Caucasian)			8	Right	Nominal	Input
RaceOthr	String			Other participant race (text)
Name	Type	Width	Decimals	Label	Values	Missing	Columns	Align	Measure	Role
RaceNoAn
Acc_Prev
NoPC_a - NoPC_f
PC08 - PC17	Numeric		0		1 = Strongly disagree 2 = Disagree 3 = Neither agree nor disagree 4 = Agree 5 = Strongly agree		8			Input
PCTotal				Total Preventive Care Score (Max = 50)				Right	Scale
HbA1c
TypeII		1	0		0 = No diagnosis 1 = Pre-diabetes 2 = Type II diabetes
Name	Type	Width	Decimals	Label	Values	Missing	Columns	Align	Measure	Role
Height				Participant height (in inches)			8
Weight		6	2		None	-999
SBP
DBP	Numeric			Diastolic blood pressure (in mm Hg)				Right