Received LT 4/23/12 K.1. Attachment A 2012 National Sample Survey of Registered Nurses Proposal Having an adequate supply of RNs in the United States workforce is among the priorities of a safe and effective health care system. Over time, there has been a substantial body of evidence predicting a potential shortfall of nurses that could have a major impact on health care delivery in the future. Possible reasons for this include the aging of the U.S. population and the new health care reform law, The Affordable Care Act, which predicts that 30 million more U.S. residents will become insured and seek medical care in the years ahead. Knowledge of supply workforce data can be used to predict possible shortages and assist in the allocation of resources, program development and recruitment efforts in both the health care system and education sectors. Over the past three decades the Health Resources and Services Administration (HRSA) has examined the supply of registered nurses through the National Sample Survey of Registered Nurses (NSSRN). Data collection from the most recent, and final, NSSRN was completed in 2008; hence, there is no current data on the nationwide supply of RNs. A variety of methods to collect workforce data about the U.S. nursing population has been examined for this project. The most comprehensive and cost effective method is described in this proposal. Purpose To conduct a sample survey of all licensed U.S. registered nurses using The Forum of State Nursing Workforce Centers Minimum Dataset (MDS) and collect supply data about the current U.S. RN workforce. Three methods of collecting the workforce data are presented; however, the first method is the method we are recommending. Data Collection Method 1 (Stratified Sample of the Population, State-level Focus) Instrument. The Forum of State Nursing Workforce Centers Minimum Dataset (MDS) will be the instrument used to collect the workforce data. This instrument was created through a process of consensus-building. Forum workgroups (participating states included: Alabama, Colorado, Florida, Hawaii, Illinois, Indiana, Iowa, Massachusetts, New Jersey, North Dakota, Oklahoma, Tennessee, Vermont, and West Virginia) drafted the dataset. Following a public comment period, which allowed input from national organizations, the Forum voted and approved the datasets in September 2009. NCSBN and The National Forum of State Nursing Workforce Centers currently use the dataset to collect data about individual state nursing workforce and believe that the dataset will enhance the ability to plan for the future (See Attachment B). The instrument will be used to collect demographic and workforce data about the U.S. nursing population. Sample. All registered nurses in the continental U.S. including Alaska and Hawaii with active RN licensees will be eligible for survey participation. A stratified random sample will be obtained through the following methods: 1. 2. A portion of the sample will be drawn from Nursys, NCSBN’s licensure database. This contains basic contact and demographic information for RN licensees from 43 U.S. jurisdictions (includes 42 states and the District of Columbia). Nursys will be used to draw a random stratified sample of nurses from those states providing licensure information into Nursys. Currently, Nursys contains information on 3,998,416 RNs licensed to practice in U.S. jurisdictions. This number, however, includes duplicate licenses. Specific measures will be taken to de-duplicate the data and ensure that none of the participants in the sample are duplicative. The remaining eight jurisdictions (states), which do not participate in Nursys, will be contacted and asked for a database of all active RN licensees in their state. The same process will be used to draw a random stratified sample of licensees in these states. Because some of the licensees from Nursys may also have one or more licenses in the states that are non-participating in Nursys, the final sample of nurses selected to participate will be checked to ensure there are no duplicate surveys being disseminated. Non-Nursys participating boards: Alabama, Connecticut, Georgia, Hawaii, Illinois, Kansas, Oklahoma, Pennsylvania. The MDS survey will be sent to an outside vendor for design and printing. The vendor will set-up the mailing process and clean addresses. The vendor will also supply a list that contains the telephone numbers of all survey participants drawn for the sample so that participants may be contacted by phone prior to the survey and afterwards. Surveys will be returned to the vendor and the vendor will transfer them to a data entry facility. During this time, the online version of the survey will be developed. For the online survey, participants will be directed to a simple web address (e.g., www.RNsurvey.org) which will contain a link to answer the survey. The telephone number list will be used to broadcast a reminder to answer the survey or provide a thank you to those that completed it. Survey Administration. In administering the surveys, a modified Dillman approach (Dillman, Smyth, & Christian, 2009) will be implemented. This includes the following steps: 1. 2. 3. 4. 5. Week 1: Each participant will receive a telephone announcement of the survey. The telephone announcement will state the purpose of the survey, and state the importance of completing the survey. Participants will also receive a vibrantly designed postcard, or letter with an incentive, sent to participants which will contain a link to an online survey. The post card or letter will be sent first class to allow invalid addresses to be sent back. Week 3: A hardcopy of the survey will be sent to non-responders, with an online option. Week 5: A telephone blast to remind non-responders to complete the survey, and to thank those who have already participated. Week 7: Hardcopy of survey sent to non-responders, with an online option. Week 10: Deadline for surveys/closure of online option. Prior to the initiation of the survey, numerous nursing organizations will be contacted and informed of the project. Their assistance will be solicited to inform their members of the survey and encourage participation. The estimated survey response rate is 52% (see Table 1). A formal non-response analysis will be conducted following the close of the survey to ensure the study does not contain response bias. Although response rates are a valuable indicator of survey quality, they may not be a good measure of response bias. An analysis of basic demographic and professional data (e.g., age, year licensed, etc.) for all RN licensees in the Nursys database will be used to compare the composition of the complete sample frame with that of the survey respondents, and nonrespondents, to determine how representative the sample is of the full population of RNs. We anticipate using this information to make final determinations regarding the development of non-response sample weights for the final data set. The Dillman method was used by HRSA in the 2008, National Sample Survey and yielded a 65% response rate (HRSA, 2010). Table 1 provides an overview of the number of active licensees that must be drawn from each jurisdiction for 95% confidence and a 3% error. Anticipated response rates are also described. Table 1 Jurisdiction Number of Active RN Licensees 95% confidence, 3% error (# of surveys to be received) Est. online response rate* Est. 1st mailing response rate** Total estimated response rate Number of surveys need to mail AK 14,529 995 24% 32% 56% 1,777 AL 49,963 1,045 12% 13% 25% 4,180 AR 35,119 1,036 24% 28% 52% 1,992 AZ 71,194 1,052 24% 31% 55% 1,913 CA 374,587 1,065 24% 32% 56% 1,902 CO 61,871 1,049 24% 34% 58% 1,809 CT 59,155 1,049 12% 13% 25% 2,017 DC 23,592 1,021 24% 28% 52% 1,963 DE 14,810 996 24% 35% 59% 1,688 FL 251,044 1,063 24% 24% 48% 2,215 GA 97,043 1,056 12% 13% 25% 4,224 HI 20,159 1,014 12% 13% 25% 4,056 IA 47,331 1,044 24% 35% 59% 1,769 ID 19,083 1,011 24% 37% 61% 1,657 IL 153,262 1,060 12% 13% 25% 4,240 IN 93,928 1,056 24% 33% 57% 1,853 KS 46,724 1,044 12% 13% 25% 4,176 KY 59,617 1,049 24% 30% 54% 1,943 LA 56,228 1,048 24% 27% 51% 2,055 MA 119,969 1,058 24% 31% 55% 1,924 MD 70,487 1,052 24% 30% 54% 1,948 ME 21,984 1,018 24% 34% 58% 1,755 MI 138,146 1,059 24% 32% 56% 1,891 MN 87,798 1,055 24% 40% 64% 1,648 MO 93,822 1,056 24% 33% 57% 1,853 MS 41,385 1,041 24% 22% 46% 2,263 MT 15,666 1,000 24% 32% 56% 1,786 NC 116,197 1,058 24% 38% 62% 1,706 ND 11,640 978 24% 39% 63% 1,552 NE 27,700 1,028 24% 41% 65% 1,582 NH 20,238 1,014 24% 40% 64% 1,584 NJ 114,470 1,058 24% 28% 52% 2,035 NM 24,275 1,023 24% 34% 58% 1,764 NV 26,930 1,027 24% 32% 56% 1,834 NY 279,563 1,064 24% 32% 56% 1,900 OH 176,092 1,061 24% 34% 58% 1,829 OK 42,743 1,042 12% 13% 25% 4,168 OR 47,733 1,044 24% 38% 62% 1,684 PA 208,313 1,062 12% 13% 25% 4,248 RI 18,181 1,008 24% 28% 52% 1,938 SC 56,721 1,048 24% 31% 55% 1,905 SD 15,180 998 24% 38% 62% 1,610 TN 84,619 1,054 24% 25% 49% 2,151 TX 243,629 1,063 24% 27% 51% 2,084 UT 28,656 1,029 24% 30% 54% 1,906 VA 92,036 1,055 24% 30% 54% 1,954 VT 17,651 1,007 24% 35% 59% 1,707 WA 83,321 1,054 24% 36% 60% 1,757 WI 82,610 1,054 24% 32% 56% 1,882 WV 28,862 1,030 24% 32% 56% 1,839 WY 8,907 954 24% 41% 65% 1,468 Virgin Islands 1,577 637 24% 32% 56% 1,138 Guam 924 496 24% 32% 56% 886 American Samoa 86 80 24% 32% 56% 143 Northern Mariana Islands 1,066 534 24% 32% 56% 954 TOTAL 3,998,416 54,652 22% 30% 52% 113,703 Note. Jurisdictions in green italics are 2010 data and are non-Nursys participating boards. For all other jurisdictions, data are as of March 15, 2012. *24% was overall online response rate for HRSA’s NSSRN. **Estimates for 1st mailing response rate are from NCSBN’s CORE project; lists from Nursys participating boards averaged a 32% response rate, while non-Nursys lists averaged a 13% response rate. HRSA’s overall paper survey response rate was 27%. Results. Data will be collected, analyzed and reported in the aggregate. Individual state data may be reported if it differs from that of the aggregate or illustrates important findings. State boards of nursing as well as State Workforce Centers will have access to their own individual state data. Budget. There are two methods that can be used to deliver information to participants about the survey. One is to send a post card that directs the participant to a website that contains the online survey. This is followed by two hard copy mailings and two telephone blasts. The incentive offered is participation in a raffle for an iPad. The second method substitutes a letter in place of the post card which contains a $1.00 incentive. This directs the participant to the website for the survey. This is followed by the two additional mailings of hard copies of the survey and the telephone blasts. Dr. Tim Johnson, who is a consultant on this study, suggests that this method may yield a higher response rate. Cost Estimates (postcard) Item Survey design & set-up costs Postcard (with online survey) 1st hard copy survey mailing 2nd hard copy survey mailing Two telephone blasts Data Entry RN database from Non-Nursys participating states Incentive TOTAL ESTIMATE Details $0.50 per postcard $0.50* (113,703) = $56,852 Estimate 2% response = 2,274 $1.00 - $1.50 per hard copy survey (including survey return costs) $1.25*(113,703 – 2,274) = $139,286 Estimated additional 30% response rate = 33,429 $1.25* (113,703 – 35,703) = $97,500 Estimated additional 22% response rate = 17,160 Estimated $138/1200 people = $26,152 $0.50 - $0.75/survey data entry $0.60*15,859 = $9,515 Total $2,000 $56,852 $139,286 $97,500 $26,152 $9,515 $5,329 Raffle where 3 participants get an iPad $1,500 $338,134 OR Cost Estimates (letter + incentive) Item Survey design & set-up costs Letter and $1 incentive (with online survey) 1st hard copy survey mailing 2nd hard copy survey mailing Two telephone blasts Data Entry RN database from Non-Nursys participating states TOTAL ESTIMATE Details $0.80 per letter + $1 incentive $1.80* (113,703) = $204,665 Estimate 2% response = 2,274 $1.00 - $1.50 per hard copy survey (including survey return costs) $1.25*(113,703 – 2,274) = $139,286 Estimated additional 30% response rate = 33,429 $1.25* (113,703 – 35,703) = $97,500 Estimated additional 22% response rate = 17,160 Two telephone blasts (estimate $138/1200 people) = 13,076*2 = $26,152 $0.50 - $0.75/survey data entry $0.60*15,859 = $9,515 Total $2,000 $204,665 $139,286 $97,500 $26,152 $9,515 $5,329 $484,447 Data Collection Method 2 (Sample of the Population, National-level Focus) Method 2 uses the same methodology as option 1 except a national-level sampling strategy will be employed; that is, a sample of RNs will be randomly selected from the population of RNs across country (i.e., RNs will not be randomly selected/stratified by state). Using this method, rural states may be underrepresented in the total sample. Overall, with 1% margin of error, at 99% confidence, with a population of 3,998,416 million RN licensees, 16,519 RNs will need to complete the survey. With an estimated 52% response rate (see Table 1), 31,767 surveys will need to be sent out. Cost Estimates (post card) Item Survey design & set-up costs Postcard (with online survey) 1st hard copy survey mailing 2nd hard copy survey mailing Two telephone blasts RN database from Non-Nursys participating states Data Entry Details $0.50 per post card $0.50* (31,767) = $15,884 Estimate 2% response = 635 $1.00 - $1.50 per hard copy survey (including survey return costs) $1.25*(31,767 – 635) = $38,915 Estimated additional 30% response rate = 9,340 $1.25* (31,767 – 9,975) = $27,240 Estimated additional 22% response rate = 4,794 Two telephone blasts (estimate $138/1200 people) = 3,653*2 = $7,306 Total $2,000 $15,884 $38,915 $27,240 $7,306 $5,329 $0.50 - $0.75/survey data entry $2,659 Incentive TOTAL ESTIMATE $0.60*4,431 = $2,659 Raffle where 3 participants get an iPad $1,500 $100,833 Cost Estimates (letter + incentive) Item Survey design & set-up costs Letter and $1 incentive (with online survey) 1st hard copy survey mailing 2nd hard copy survey mailing Two telephone blasts Details $0.80 per letter + $1 incentive $1.80* (31,767) = $57,181 Estimate 2% response = 635 $1.00 - $1.50 per hard copy survey (including survey return costs) $1.25*(31,767 – 635) = Estimated additional 30% response rate = 9,340 $1.25* (31,767 – 9,975) = $27,240 Estimated additional 22% response rate = 4,794 Two telephone blasts (estimate $138/1200 people) = 3,653*2 = $7,306 RN database from Non-Nursys participating states Data Entry Total $2,000 $57,181 $38,915 $27,240 $7,306 $5,329 $0.50 - $0.75/survey data entry $0.60*4,431 = $2,659 TOTAL ESTIMATE $2,659 $140,630 Data Collection Method 3 (Full Population) Method 3 is a survey of all active RN licensees in the United States. While this method may seem more comprehensive, it will not provide increased accuracy or more information than method 1. Cost Estimates Item Survey design & set-up costs Postcard (with online survey) 1st hard copy survey mailing 2nd hard copy survey mailing Two telephone blasts Data Entry Details $0.50 per post card $0.50* (3,998,416) = $1,999,208 Estimate 2% response = 79,968 $1.00 - $1.50 per hard copy survey (including survey return costs) $1.25*(3,998,416 – 79,968) = $4,898,060 Estimated additional 30% response rate = 1,175,534 $1.25* (3,998,416 – 1,255,502) = $3,428,643 Estimated additional 22% response rate = 603,441 Two telephone blasts (estimate $138/1200 people) = 459,818*2 = $919,636 $0.50 - $0.75/survey data entry $0.60*557,683 = $334,610 RN database from Non-Nursys participating states Incentive Total $2,000 $1,999,208 $4,898,060 $3,428,643 $919,636 $334,610 $5,329 Incentive = raffle where 3 participants get an iPad = $1,500 $1,500 TOTAL ESTIMATE $11,589,986 Research Team Jill Budden, PhD Associate, Research National Council of State Boards of Nursing (NCSBN) 111 E. Wacker Drive, Suite 2900 Chicago, IL 60601-4277 312.525.3658 Direct 312.525.3600 NCSBN Main phone 312.279.1032 Fax jbudden@ncsbn.org Elizabeth H. Zhong, PhD Associate, Research National Council of State Boards of Nursing (NCSBN) 111 E. Wacker Drive, Suite 2900 Chicago, IL 60601-4277 312.525.3636 (phone) 312.279.1032 (fax) ezhong@ncsbn.org CONSULTANT: Timothy P. Johnson, PhD Direct, Survey Research Laboratory Professor, Public Administration University of Illinois at Chicago 412 S Peoria St Chicago, IL 60607 Office: 312.996.5310 Fax: 312.996.3358 timj@uic.edu Jeannie P. Cimiotti, DNSc, RN Associate Professor Executive Director, NJ Collaborating Center for Nursing Rutgers University College of Nursing 180 University Avenue Newark, NJ 07102-1803 p. 973-353-1041 f. 973-353-1874 cimiotti@rutgers.edu Patricia Moulton, PhD Executive Director ND Center for Nursing patricia.moulton@ndcenterfornursing.org 701-852-1810 www.ndcenterfornursing.org Reference Dillman, D. A., Smyth, J. D., Christian, L. M. (2009). Internet, Mail, and Mixed-Mode Surveys: The Tailored Design Method.