WEBVTT 00:00:05.000 --> 00:00:11.510 position:50% align:middle - [Richard] Hi. I'm here to present results from the 2022 National Nursing Workforce Survey. 00:00:11.510 --> 00:00:16.750 position:50% align:middle In this presentation, what I'm going to do is quickly go through the background 00:00:16.750 --> 00:00:24.570 position:50% align:middle of the survey, review the methods in just maybe a little more detail, simply because we changed some 00:00:24.570 --> 00:00:30.300 position:50% align:middle stuff we did, quickly review the response rate, and then I'll go through the results. 00:00:30.300 --> 00:00:36.100 position:50% align:middle I'll go through the results for the registered nurses, and I'll go through the results for the licensed 00:00:36.100 --> 00:00:39.130 position:50% align:middle practical vocational nurses. 00:00:39.130 --> 00:00:47.197 position:50% align:middle And sort of finish with a quick look at the future, and summarize with the key takeaways from the survey. 00:00:48.710 --> 00:00:53.960 position:50% align:middle So, the first thing I'm going to mention is that the survey is the result of collaborative partnership 00:00:53.960 --> 00:00:58.296 position:50% align:middle with the National Forum of State Nursing Workforce Centers. 00:00:58.296 --> 00:01:06.990 position:50% align:middle Since the 1970s, nursing supply data had been collected every four years by the Health Resources and 00:01:06.990 --> 00:01:14.630 position:50% align:middle Services Administration, HRSA, via their National Sample Survey of Registered Nurses. 00:01:15.470 --> 00:01:25.390 position:50% align:middle After their 2008 survey was conducted, it was announced that a 2012 survey would not be 00:01:25.390 --> 00:01:29.160 position:50% align:middle forthcoming due to a lack of funding. 00:01:29.160 --> 00:01:39.882 position:50% align:middle So, NCSBN and the forum quickly partnered together to pick up the ball and fill the void in RN-supplied data 00:01:39.882 --> 00:01:43.636 position:50% align:middle by conducting the National Nursing Workforce Survey. 00:01:43.636 --> 00:01:50.216 position:50% align:middle And so, the first survey went out in 2013, and then we conducted it again in 2015, 00:01:50.216 --> 00:01:57.890 position:50% align:middle and this time included LPN/VNs, and then we conducted it again in 2017, 2020. 00:01:57.890 --> 00:02:02.549 position:50% align:middle And so, this is the next iteration of that in 2022. 00:02:02.549 --> 00:02:11.006 position:50% align:middle And the other thing I will note is that HRSA resurrected the National Sample Survey of Registered 00:02:11.006 --> 00:02:21.381 position:50% align:middle Nurses in 2018, and conducted another survey in 2022 that we're still waiting to hear the results from. 00:02:24.131 --> 00:02:31.799 position:50% align:middle So, going into the methods, I will mention that the 2022 survey is a mixed modes 00:02:31.799 --> 00:02:33.715 position:50% align:middle approach to the survey. 00:02:33.715 --> 00:02:37.130 position:50% align:middle And what I mean is, we collected data from different sources. 00:02:37.130 --> 00:02:40.670 position:50% align:middle We didn't collect all the data from the same way. 00:02:40.670 --> 00:02:47.310 position:50% align:middle The data for 43 jurisdictions were captured through a direct mail survey administered by a 00:02:47.310 --> 00:02:48.878 position:50% align:middle third-party vendor. 00:02:50.170 --> 00:02:57.090 position:50% align:middle For four jurisdictions, an email survey using Qualtrics was employed. 00:02:57.090 --> 00:03:04.380 position:50% align:middle And for five jurisdictions, data were collected internally from nursing workforce 00:03:04.380 --> 00:03:07.507 position:50% align:middle data that's being collected by NCSBN. 00:03:07.507 --> 00:03:13.530 position:50% align:middle And so, in summary, we did collect data for all 50 states, for the District of Columbia, 00:03:13.530 --> 00:03:17.660 position:50% align:middle and the Northern Mariana Islands. 00:03:17.660 --> 00:03:25.200 position:50% align:middle In collecting the mail-out sample, all active RN and LPN licensees were eligible 00:03:25.200 --> 00:03:28.080 position:50% align:middle for survey participation. 00:03:28.080 --> 00:03:40.080 position:50% align:middle And the sample was stratified by state and over 150,000 RNs and 150,000 LPN/VNs were collected for the survey, 00:03:40.080 --> 00:03:43.060 position:50% align:middle and this is for the mail-out portion of the survey. 00:03:43.060 --> 00:03:50.060 position:50% align:middle In collecting the email survey, once again, all active RN and LPN/VN licensees were eligible. 00:03:50.060 --> 00:03:57.460 position:50% align:middle That sample was also stratified by state, and over 25,000 RNs and 18,000 LPN/VNs were selected 00:03:57.460 --> 00:03:59.598 position:50% align:middle to be sent the survey. 00:04:01.800 --> 00:04:08.440 position:50% align:middle And then for the e-Notify data, what we're calling e-Notify, for the internal data, 00:04:08.440 --> 00:04:14.092 position:50% align:middle all RNs and LPNs captured by that system were included in the study. 00:04:16.400 --> 00:04:23.360 position:50% align:middle I will mention that we had extensively reviewed this data and made sure that the quality of data collected 00:04:23.360 --> 00:04:29.450 position:50% align:middle by the e-Notify matched the data that we knew we'd get from survey data. 00:04:31.010 --> 00:04:36.100 position:50% align:middle And in fact, in one case, we can absolutely confirm that the e-Notify data was 00:04:36.100 --> 00:04:38.360 position:50% align:middle the equivalent of a state census. 00:04:38.360 --> 00:04:42.030 position:50% align:middle So, in fact, we were sure, not only that it would match our survey data, 00:04:42.030 --> 00:04:44.540 position:50% align:middle it actually was better than our survey data. 00:04:44.540 --> 00:04:47.560 position:50% align:middle So, we included that. 00:04:47.560 --> 00:04:57.890 position:50% align:middle And in composing the data, the forum, they have a template for what they call the minimum 00:04:57.890 --> 00:04:59.010 position:50% align:middle supply data set. 00:04:59.010 --> 00:05:05.240 position:50% align:middle We made use of those questions to form the bulk of the survey, and then we asked additional questions 00:05:05.240 --> 00:05:14.340 position:50% align:middle about telehealth, the national licensure compact, future retirement plans or leaving nursing plans, 00:05:14.340 --> 00:05:18.340 position:50% align:middle travel nursing, and direct patient care. 00:05:19.000 --> 00:05:29.000 position:50% align:middle And finally, in addition for 2022, for the first time, we added questions related to the COVID-19 pandemic 00:05:29.000 --> 00:05:37.240 position:50% align:middle regarding what had impacted nurses over the prior two years since the pandemic. 00:05:37.240 --> 00:05:43.720 position:50% align:middle One thing I will mention is that we are right now pushing forward with the 2024 survey. 00:05:43.720 --> 00:05:46.520 position:50% align:middle We're in the process of preparing that. 00:05:46.520 --> 00:05:51.640 position:50% align:middle And these, what we're calling the COVID questions, actually in a modified version, 00:05:51.640 --> 00:05:56.140 position:50% align:middle we are going to be keeping those questions in there, not specifically related to COVID, 00:05:56.140 --> 00:06:02.600 position:50% align:middle but just tracking what nurses will...you know, what happened to them in the prior years and what their 00:06:02.600 --> 00:06:04.596 position:50% align:middle plans are for the future. 00:06:06.716 --> 00:06:15.560 position:50% align:middle One final note I will mention is that the e-Notify data only has the MDS data. 00:06:15.560 --> 00:06:22.750 position:50% align:middle So, any reports we're doing on some of these other topics like telehealth, national licensure compact, 00:06:22.750 --> 00:06:30.630 position:50% align:middle etc., the COVID questions, we don't have that for the five e-Notify jurisdictions. 00:06:32.885 --> 00:06:41.090 position:50% align:middle We also did some weighting for the survey because after all the responses, wherein a non-response bias analysis 00:06:41.090 --> 00:06:47.060 position:50% align:middle was conducted to evaluate survey response patterns by age and gender. 00:06:47.060 --> 00:06:51.740 position:50% align:middle And weights were created which adjusted for non-response by age and gender, 00:06:51.740 --> 00:06:57.660 position:50% align:middle and adjusted for stratification by state in the original survey design. 00:06:57.660 --> 00:06:59.680 position:50% align:middle And then we applied the weights. 00:06:59.680 --> 00:07:08.850 position:50% align:middle And basically, what's going on here is we know that older people tend to respond to the surveys at a higher 00:07:08.850 --> 00:07:12.300 position:50% align:middle rate than younger people, so we adjust for that. 00:07:12.300 --> 00:07:16.490 position:50% align:middle We know that women tend to respond to the surveys more than men. 00:07:16.490 --> 00:07:19.520 position:50% align:middle So we try to adjust for that in our weighting. 00:07:19.520 --> 00:07:24.370 position:50% align:middle And once again, just the way we conduct the survey, we wanted to make sure that we had a certain volume 00:07:24.370 --> 00:07:26.390 position:50% align:middle of response for each state. 00:07:26.390 --> 00:07:34.400 position:50% align:middle And so the tradeoff was that we might have similar amounts, we might have 800 or 900 responses 00:07:34.400 --> 00:07:40.200 position:50% align:middle from California, and we have 800 or 900 responses from Rhode Island. 00:07:40.200 --> 00:07:47.350 position:50% align:middle We need to make sure that, you know, for national numbers, those aren't given the same weight. 00:07:47.350 --> 00:07:54.750 position:50% align:middle We need to give a lot more weight to those California responses to balance out the population or the 00:07:54.750 --> 00:07:59.180 position:50% align:middle population of nurses in the country. 00:07:59.180 --> 00:08:00.574 position:50% align:middle So, we do that. 00:08:04.100 --> 00:08:10.440 position:50% align:middle And then finally, so what's here, what you're seeing now is the response that we got. 00:08:10.440 --> 00:08:18.610 position:50% align:middle For the mail-out survey, over 27,000 RNs and nearly 23,000 LPN/VNs responded 00:08:18.610 --> 00:08:20.550 position:50% align:middle to the survey. 00:08:21.300 --> 00:08:27.841 position:50% align:middle So, that related to response rates of 18% for RNs and 15% for LPN/VNs. 00:08:27.841 --> 00:08:40.175 position:50% align:middle For the email survey, both the RN and LPN surveys had between 2,000 00:08:40.175 --> 00:08:53.048 position:50% align:middle to 2,500 responses, and we had a 9% response rate for the RN survey, and about an 11.5% response rate 00:08:53.048 --> 00:08:55.020 position:50% align:middle for the LPN survey. 00:08:55.020 --> 00:09:02.060 position:50% align:middle And then, as you see, for the e-Notify data, we collected 249,000 RN records and 00:09:02.060 --> 00:09:04.716 position:50% align:middle over 30,000 LPN records. 00:09:04.716 --> 00:09:11.680 position:50% align:middle And all of these were merged together to form the analysis that you will now be seeing. 00:09:11.680 --> 00:09:16.290 position:50% align:middle And now I will go into the results for registered nurses. 00:09:16.290 --> 00:09:22.770 position:50% align:middle And to start with, this is probably the distinguishing feature of this survey, 00:09:22.770 --> 00:09:31.820 position:50% align:middle which is that the RN nursing workforce between 2020 and 2022 underwent a dramatic shift in the wake 00:09:31.820 --> 00:09:33.080 position:50% align:middle of the pandemic. 00:09:33.080 --> 00:09:39.600 position:50% align:middle Many nurses who are in older age range in 2020 left the workforce resulting in a decline in the median RN 00:09:39.600 --> 00:09:41.550 position:50% align:middle age of 6 years. 00:09:41.550 --> 00:09:46.270 position:50% align:middle And so almost a quarter of the RN workforce is now aged 34 or younger. 00:09:46.270 --> 00:09:53.230 position:50% align:middle And I just want to take a second here for you to appreciate that...when I've done this survey before, 00:09:53.230 --> 00:09:59.560 position:50% align:middle typically a median age, it's going to move maybe one year up or down at most. 00:09:59.560 --> 00:10:03.160 position:50% align:middle And to see a decrease by six years is stunning. 00:10:03.160 --> 00:10:08.400 position:50% align:middle It doesn't happen a lot that you see this much movement in the workforce. 00:10:08.400 --> 00:10:14.280 position:50% align:middle And we had always seen the possibility, because we'd seen a growing aging population, 00:10:14.280 --> 00:10:16.960 position:50% align:middle that there was a big bulk of older nurses. 00:10:16.960 --> 00:10:20.250 position:50% align:middle And we thought, "Well, what'd happen if they left all at once?" 00:10:20.250 --> 00:10:24.410 position:50% align:middle And you get the pandemic and you see the impact. 00:10:24.410 --> 00:10:32.810 position:50% align:middle I think the graph shows you a little bit from the ages just how much that decline was to where we are now, 00:10:32.810 --> 00:10:43.050 position:50% align:middle the 2020 survey, the drop from 2020 to 2022, that big decline in the proportion. 00:10:43.050 --> 00:10:47.920 position:50% align:middle So, we're seeing that. 00:10:47.920 --> 00:10:56.100 position:50% align:middle And the way that shows up in 2020, nurses aged 55 and older accounted for 43% 00:10:56.100 --> 00:10:57.240 position:50% align:middle of the workforce. 00:10:57.240 --> 00:11:05.870 position:50% align:middle In 2022, this same cohort accounted for 31% of the RN workforce. 00:11:05.870 --> 00:11:13.757 position:50% align:middle And so, we estimate that this was associated with losses to the workforce of at least 00:11:13.757 --> 00:11:17.420 position:50% align:middle 200,000 experienced RNs. 00:11:17.420 --> 00:11:19.670 position:50% align:middle So, I'll be covering gender and race here. 00:11:19.670 --> 00:11:24.670 position:50% align:middle So, first of all, with gender, the women continue to account for a very large 00:11:24.670 --> 00:11:25.810 position:50% align:middle majority of nurses. 00:11:25.810 --> 00:11:32.494 position:50% align:middle The proportion of men licensed in the country has increased steadily since at least 2015. 00:11:32.494 --> 00:11:35.320 position:50% align:middle And you see this in the graph on the left. 00:11:35.320 --> 00:11:42.172 position:50% align:middle Currently, men account for 11% of the RN workforce, which is up from 8% in 2015. 00:11:43.950 --> 00:11:50.966 position:50% align:middle The distribution of gender by age does suggest that the future male percent may plateau at around 12%. 00:11:50.966 --> 00:11:56.780 position:50% align:middle We'll probably still see some increase, but I don't know if we'll be seeing as much of a rise 00:11:56.780 --> 00:11:59.718 position:50% align:middle coming up in the near future. 00:12:04.290 --> 00:12:11.740 position:50% align:middle And then you can see that that's from the graph on the right suggested that. 00:12:11.740 --> 00:12:20.344 position:50% align:middle And you can see the ethnic groups which are more likely to have men as part of the workforce on the slide. 00:12:21.310 --> 00:12:26.780 position:50% align:middle Now, for racial and ethnic minority groups. 00:12:26.780 --> 00:12:33.587 position:50% align:middle Overall, 24% of RNs reported being in a racial or ethnic minority group in 2022, 00:12:33.587 --> 00:12:38.610 position:50% align:middle which is a slight increase over the 23% reported in 2020. 00:12:38.610 --> 00:12:46.132 position:50% align:middle In contrast, the Census Bureau reports that 40.7% of the U.S. population 00:12:46.132 --> 00:12:57.950 position:50% align:middle in 2021 were in racial or ethnic minority groups, which is also an increase from the 00:12:57.950 --> 00:13:03.870 position:50% align:middle previous time we collected the data, which actually was a larger increase than what we see 00:13:03.870 --> 00:13:06.520 position:50% align:middle in the nursing population. 00:13:06.520 --> 00:13:14.710 position:50% align:middle RNs who reported being of Hispanic or Latino origin composed 7% of the workforce in 2022 as opposed 00:13:14.710 --> 00:13:17.350 position:50% align:middle to 4% in 2015. 00:13:17.350 --> 00:13:24.360 position:50% align:middle The predominance of younger nurses in the Hispanic RN workforce suggests that this trend towards increased 00:13:24.360 --> 00:13:27.620 position:50% align:middle diversity will continue in the near future. 00:13:27.620 --> 00:13:36.200 position:50% align:middle So, what we're seeing is that because of the ethnic diversity in Hispanic nurses, in the near future, 00:13:36.200 --> 00:13:45.750 position:50% align:middle the workforce will continue to become a little bit less, you could say White, than it has been, 00:13:45.750 --> 00:13:53.600 position:50% align:middle but that's predominantly because of the growth in Hispanic nurses, which is incredible, 00:13:53.600 --> 00:13:55.381 position:50% align:middle and is going to continue to rise. 00:13:58.780 --> 00:14:03.670 position:50% align:middle Levels of educational accomplishment among RNs continues to increase. 00:14:03.670 --> 00:14:12.690 position:50% align:middle In the 2022 survey, 47% of RNs held a baccalaureate degree as their initial nursing education, 00:14:12.690 --> 00:14:21.840 position:50% align:middle while over 70% of the workforce reported holding a baccalaureate degree or higher as their highest degree 00:14:21.840 --> 00:14:23.800 position:50% align:middle of education, which is... 00:14:23.800 --> 00:14:37.300 position:50% align:middle And part of this is due to, once again, that shift, that loss of older nurses who didn't have 00:14:37.300 --> 00:14:38.460 position:50% align:middle the baccalaureate degree. 00:14:38.460 --> 00:14:45.560 position:50% align:middle So, it is due to increasing standards and more education for nurses. 00:14:45.560 --> 00:14:51.720 position:50% align:middle You know, younger nurses, certainly that's part of it, but this also was accelerated simply because that's the 00:14:51.720 --> 00:14:56.970 position:50% align:middle proportion of all nurses and a lot of the older nurses were not that educated. 00:14:56.970 --> 00:14:59.000 position:50% align:middle So, it accelerated this percentage. 00:14:59.000 --> 00:15:01.841 position:50% align:middle And you see that in the graph that it jumps up a little bit. 00:15:06.710 --> 00:15:14.000 position:50% align:middle And then the COVID-19 pandemic had a notable impact on RN workforce employment. 00:15:14.000 --> 00:15:18.350 position:50% align:middle Eighty-nine percent of RN licensees were actively employed in nursing. 00:15:18.350 --> 00:15:25.257 position:50% align:middle And that was an increase up from 84% in 2020. 00:15:25.257 --> 00:15:29.841 position:50% align:middle And 70% of RN nurses were working full time. 00:15:29.841 --> 00:15:35.048 position:50% align:middle And in the 2020 survey, that number was around 65%. 00:15:35.048 --> 00:15:40.348 position:50% align:middle So, employment levels did increase during that time. 00:15:44.087 --> 00:15:47.632 position:50% align:middle And we did see post-pandemic inflation. 00:15:49.900 --> 00:15:52.520 position:50% align:middle These are raw salary numbers. 00:15:52.520 --> 00:15:59.640 position:50% align:middle We didn't account for inflation in it, but we are sure inflation also impacted some of this. 00:15:59.640 --> 00:16:06.798 position:50% align:middle The medium pre-tax earnings for RNs rose from $70,000 in 2020 to $80,000 in 2022. 00:16:08.463 --> 00:16:12.110 position:50% align:middle So, there was an increase in earnings. 00:16:12.110 --> 00:16:20.341 position:50% align:middle As you can see, 50% of RNs indicated that they engage in telehealth in some way, shape, or form. 00:16:20.341 --> 00:16:27.632 position:50% align:middle And that's actually pretty constant to what we've seen over the years we've been asking this question. 00:16:27.632 --> 00:16:33.590 position:50% align:middle That really hasn't changed too much in terms of...because if you look at that, 00:16:33.590 --> 00:16:39.370 position:50% align:middle the first set of bars shows you how many never did it, and that hardly changes. 00:16:39.370 --> 00:16:44.620 position:50% align:middle That had one year where it seemed like there was a little bit of an increase, but it didn't drop back, 00:16:44.620 --> 00:16:49.078 position:50% align:middle but it's around that 50% mark, and it's been that way most of the time. 00:16:50.440 --> 00:17:00.850 position:50% align:middle And then of those providing services remotely, telehealth services remotely, 00:17:00.850 --> 00:17:08.490 position:50% align:middle the proportions that provide services over state or national borders, it's remained pretty constant, 00:17:08.490 --> 00:17:12.990 position:50% align:middle that the pattern we've seen has been pretty constant in terms of the service provided. 00:17:12.990 --> 00:17:16.700 position:50% align:middle So, it didn't seem like the pandemic increased. 00:17:16.700 --> 00:17:18.980 position:50% align:middle It may have... 00:17:18.980 --> 00:17:23.260 position:50% align:middle I mean, what you have to remember here is we're talking about nurses individually. 00:17:23.260 --> 00:17:32.860 position:50% align:middle There may have been more telehealth used by patients, but it would've been serviced by the same nurses. 00:17:32.860 --> 00:17:42.140 position:50% align:middle It didn't increase the usage by how many nurses were doing that or what their usage was. 00:17:42.140 --> 00:17:47.930 position:50% align:middle One thing that did happen is in terms of modes of communication and telehealth, 00:17:47.930 --> 00:17:57.680 position:50% align:middle that we saw a huge increase in video calls and a reasonably-sized increase in electronic messaging 00:17:57.680 --> 00:18:03.090 position:50% align:middle from 2020 to 2022, but especially the video calls, that really jumped. 00:18:03.090 --> 00:18:09.966 position:50% align:middle And I think that's not surprising because the use of video calls jumped for a lot of us in terms of learning 00:18:09.966 --> 00:18:14.280 position:50% align:middle how to use Zoom, learning how to use, you know, MS Teams or things like that. 00:18:14.280 --> 00:18:18.757 position:50% align:middle So, I think a lot of people are introduced to the concept of video calls that hadn't done it 00:18:18.757 --> 00:18:21.300 position:50% align:middle before the pandemic. 00:18:21.300 --> 00:18:29.005 position:50% align:middle And then I think the final thing I'm going to be covering here, the use of multi-state license among RNs 00:18:29.005 --> 00:18:31.673 position:50% align:middle who hold the multi-state licenses. 00:18:34.700 --> 00:18:41.390 position:50% align:middle Basically, we found that yes, it doesn't look good to say, you know, 00:18:41.390 --> 00:18:42.770 position:50% align:middle two-thirds have not used it. 00:18:42.770 --> 00:18:49.060 position:50% align:middle Actually, the people who proposed it, they were surprised to find out that over 30% have 00:18:49.060 --> 00:18:50.670 position:50% align:middle used the license. 00:18:50.670 --> 00:19:02.850 position:50% align:middle And the ones who have used it tend to use it for telehealth, a little bit for disaster support or 00:19:02.850 --> 00:19:06.830 position:50% align:middle distance education, but it is used. 00:19:06.830 --> 00:19:19.220 position:50% align:middle And finally, to these COVID questions we asked. We went forward with some questions about the impact 00:19:19.220 --> 00:19:23.270 position:50% align:middle of the COVID-19 pandemic on the respondent. 00:19:23.270 --> 00:19:30.410 position:50% align:middle And 62% of the nurses reported that their workload increased, 16% reported that they changed their 00:19:30.410 --> 00:19:38.530 position:50% align:middle practice setting, and 9% reported that they retired or left nursing as a result of the pandemic. 00:19:38.530 --> 00:19:48.720 position:50% align:middle And in addition, 46% reported that they felt burnt out at least a few times a week as a result 00:19:48.720 --> 00:19:53.540 position:50% align:middle of the pandemic, either, you know, a few times a week or daily as a result 00:19:53.540 --> 00:19:57.950 position:50% align:middle of the pandemic, which is a really striking number. 00:19:57.950 --> 00:20:01.930 position:50% align:middle And so, what I'm going to move on to now, and try to go through this pretty quickly is similar 00:20:01.930 --> 00:20:07.280 position:50% align:middle stuff for the LPNs, and I'll go through this pretty quickly. 00:20:07.280 --> 00:20:15.000 position:50% align:middle Just like the RNs, there was a decrease in 6 years in the LPN population, and we estimate that corresponds 00:20:15.000 --> 00:20:25.131 position:50% align:middle to a decrease in the experienced workforce of over 60,000 LPNs, just between the pandemic and 2022. 00:20:26.635 --> 00:20:32.710 position:50% align:middle Men are 10% of the LPN population, that's up from 8% in 2020. 00:20:32.710 --> 00:20:35.870 position:50% align:middle Once again, steady climb there. 00:20:35.870 --> 00:20:40.590 position:50% align:middle Racial ethnic diversity is actually very good in the LPN community. 00:20:40.590 --> 00:20:51.680 position:50% align:middle You see that what we know is that, you know, overall, 40% of LPN/VNs reported being in a racial 00:20:51.680 --> 00:20:57.550 position:50% align:middle ethnic minority, which practically matches what's in the United States census. 00:20:57.550 --> 00:21:06.716 position:50% align:middle So, LPNs who reported being Hispanic or Latino origin composed 12% of the workforce in 2022 as opposed 00:21:06.716 --> 00:21:12.250 position:50% align:middle to 6% in 2015. So, this is climbing very rapidly. 00:21:12.250 --> 00:21:19.010 position:50% align:middle And once again, the predominance of these younger nurses and Hispanic workforce suggests that the trend 00:21:19.010 --> 00:21:28.770 position:50% align:middle towards increased diversity will continue in the LPN workforce for certainly the near future and further on. 00:21:28.770 --> 00:21:40.040 position:50% align:middle The highest level of education that we have for LPNs also increased. 00:21:40.040 --> 00:21:47.530 position:50% align:middle In the 2022 survey, 16% of the LPN workforce reported holding an associate degree or higher as their highest 00:21:47.530 --> 00:21:50.770 position:50% align:middle degree of education. 00:21:50.770 --> 00:22:00.719 position:50% align:middle And that's slightly higher than what it was before, in 2020. 00:22:00.719 --> 00:22:06.840 position:50% align:middle So, even among LPNs, there has been an increase in educational accomplishment. 00:22:06.840 --> 00:22:14.850 position:50% align:middle In the case of LPNs, 71% of LPNs reported working full time, 00:22:14.850 --> 00:22:19.046 position:50% align:middle and that was an increase over 66% in 2020. 00:22:19.046 --> 00:22:29.600 position:50% align:middle And for LPNs, the median pre-tax earnings increased from 44,000 in 2020 to 50,000 in 2022. 00:22:29.600 --> 00:22:39.790 position:50% align:middle And 55% of the LPN workforce indicated that they were engaged in telehealth activities. 00:22:39.790 --> 00:22:49.340 position:50% align:middle And actually, this has been increasing that we have seen an increase in use of telehealth by LPNs. 00:22:49.340 --> 00:22:55.380 position:50% align:middle You know, as we know, for the RNs, it was flat, but for LPNs, this has been increasing slightly. 00:22:55.380 --> 00:23:07.132 position:50% align:middle And as with the RN workforce, huge increase in video calls from 2020 to 2022. 00:23:07.132 --> 00:23:13.839 position:50% align:middle That's been the most notable increase in mode of usage. 00:23:13.839 --> 00:23:18.090 position:50% align:middle As you see here, also, there was an increase in electronic messaging. 00:23:18.090 --> 00:23:22.632 position:50% align:middle And that more fits with something that had been taking place over time. 00:23:22.632 --> 00:23:27.177 position:50% align:middle But the video call use jump is really striking. 00:23:29.200 --> 00:23:37.720 position:50% align:middle And then, among LPN/VNs who hold a multi-state license, once again, we're saying that, you know, 3/4... 00:23:37.720 --> 00:23:43.600 position:50% align:middle but about 25% do use it, and primarily for telehealth. 00:23:46.400 --> 00:23:51.160 position:50% align:middle And we also asked the question to the LPNs about the COVID-19 impact. 00:23:51.160 --> 00:23:59.690 position:50% align:middle In this case, about 63% of LPNs reported that their workload increased, 11% reported that they changed 00:23:59.690 --> 00:24:06.550 position:50% align:middle their practice setting, 10% reported that they left to retired nursing as a result of the pandemic. 00:24:06.550 --> 00:24:13.040 position:50% align:middle And then 45% reported that they felt burnt out at least a few times a week as a result of the pandemic. 00:24:13.040 --> 00:24:16.610 position:50% align:middle So, this is pretty similar to the RN numbers. 00:24:16.610 --> 00:24:21.760 position:50% align:middle And so, just some quick conclusions, just from the numbers we've seen, 00:24:21.760 --> 00:24:27.100 position:50% align:middle kind of just stuff we're looking at that we did some calculations here. 00:24:27.100 --> 00:24:33.990 position:50% align:middle One of the questions we did ask is we directly asked all the nurses, "Do you intend to leave, 00:24:33.990 --> 00:24:37.430 position:50% align:middle retire or exit nursing in the last five years?" 00:24:37.430 --> 00:24:48.970 position:50% align:middle And the answers correspond by projections to 800,000 RNs and 184,000 LPN/VNs, you know, 00:24:48.970 --> 00:24:54.465 position:50% align:middle answering yes to that question and it's about 20%. 00:24:54.465 --> 00:24:57.006 position:50% align:middle So, about 20% said yes. 00:24:57.006 --> 00:25:06.710 position:50% align:middle And of these who said yes, 24% of them are younger, early career nurses. 00:25:06.710 --> 00:25:13.930 position:50% align:middle So, it's just something that, you know, if you listened to Linda this morning, 00:25:13.930 --> 00:25:18.790 position:50% align:middle you realize that yes, there's a need that, like, if they're reporting that, you know, 00:25:18.790 --> 00:25:22.570 position:50% align:middle if a quarter of the workforce is saying, "I might leave," you know, we got to watch that. 00:25:22.570 --> 00:25:24.680 position:50% align:middle That's something to be concerned about. 00:25:24.680 --> 00:25:26.040 position:50% align:middle Definitely. 00:25:26.040 --> 00:25:33.200 position:50% align:middle And so, finally, in the wake of the COVID-19 pandemic, the nursing workforce has undergone a dramatic shift 00:25:33.200 --> 00:25:37.670 position:50% align:middle with the loss of hundreds of thousands of experienced RNs and LPNs. 00:25:37.670 --> 00:25:43.830 position:50% align:middle The workforce today is distinctly younger, more educated, and slightly more diverse. 00:25:43.830 --> 00:25:47.910 position:50% align:middle Salaries have increased for both RNs and LPN/VNs. 00:25:47.910 --> 00:25:52.150 position:50% align:middle About half of the RNs and LPN/VNs engage in telehealth. 00:25:52.150 --> 00:25:59.690 position:50% align:middle And one-fifth of the total licensed U.S. nursing workforce may leave nursing in the next five years. 00:25:59.690 --> 00:26:04.550 position:50% align:middle And I think if I've done this right, I think I got about a minute left. 00:26:04.550 --> 00:26:10.330 position:50% align:middle This is the report came out in the "Journal of Nursing Regulation," which I hope you've seen. 00:26:10.330 --> 00:26:14.600 position:50% align:middle If you haven't, you know, the report is there. 00:26:14.600 --> 00:26:21.530 position:50% align:middle And then I think I may have like a minute for a question or two before Linda will have to come on or 00:26:21.530 --> 00:26:25.990 position:50% align:middle have to come on, but I'm like, you know, we want to hear Linda. 00:26:25.990 --> 00:26:33.174 position:50% align:middle So, you're welcome to go to the mic or you can just yell at me. 00:26:36.540 --> 00:26:38.382 position:50% align:middle Okay. Go ahead. 00:26:38.382 --> 00:26:42.383 position:50% align:middle Can you go to the microphone because I think they're recording, so I want to make sure that the 00:26:42.383 --> 00:26:45.006 position:50% align:middle question is heard. 00:26:47.672 --> 00:26:55.716 position:50% align:middle - [Man] ...Nursys system theoretically would let you see nurses as they are not renewing their license. 00:26:55.716 --> 00:27:03.382 position:50% align:middle Has there been any efforts towards surveying nurses not renewing to ask about their experiences, 00:27:03.382 --> 00:27:06.530 position:50% align:middle to get a sense of that population? 00:27:07.506 --> 00:27:10.299 position:50% align:middle - Not that I'm aware of. That's a good question. 00:27:10.299 --> 00:27:14.520 position:50% align:middle I mean, I'm not even sure it could be done. 00:27:14.520 --> 00:27:18.490 position:50% align:middle I mean, I think it would be interesting to do that. 00:27:19.466 --> 00:27:22.250 position:50% align:middle Okay. That's something worth noting. 00:27:22.250 --> 00:27:23.930 position:50% align:middle I think that's a good question. 00:27:23.930 --> 00:27:30.890 position:50% align:middle I know we haven't looked at it, but I think what you're suggesting might be possible 00:27:30.890 --> 00:27:34.960 position:50% align:middle that you could do that and you could say, "Okay, these people didn't renew the license, 00:27:34.960 --> 00:27:39.180 position:50% align:middle go out and do a research project on seeing what happened. 00:27:40.174 --> 00:27:48.266 position:50% align:middle I honestly think right now the closest data we have is the fact that we go to all licensed nurses and we 00:27:48.266 --> 00:27:51.910 position:50% align:middle do get...like, we could probably... 00:27:51.910 --> 00:27:54.560 position:50% align:middle Well, we don't, we don't, because it's anonymous. 00:27:54.560 --> 00:27:56.940 position:50% align:middle All we know is that they tell us they left nursing. 00:27:56.940 --> 00:27:59.240 position:50% align:middle We don't know beyond what's in the survey. 00:27:59.240 --> 00:28:02.530 position:50% align:middle So, that's a good question though. We'll do that. 00:28:02.530 --> 00:28:05.719 position:50% align:middle And then, is there anything...yeah. 00:28:06.690 --> 00:28:10.990 position:50% align:middle Okay. This will be the final question. 00:28:10.990 --> 00:28:14.104 position:50% align:middle - [Woman] I have two I can ask. - Okay. 00:28:14.104 --> 00:28:20.970 position:50% align:middle - One was, did you have any type of incentives to get your response rates for either the mail or the email? 00:28:20.970 --> 00:28:23.120 position:50% align:middle - What about the response rate? 00:28:23.120 --> 00:28:27.240 position:50% align:middle - Was there any incentive for nurses to fill out, you had a good response rate with your mail? 00:28:27.240 --> 00:28:29.580 position:50% align:middle - No, we didn't do any incentives. 00:28:29.580 --> 00:28:33.680 position:50% align:middle We tried...Our experience with incentives was not good. 00:28:33.680 --> 00:28:40.070 position:50% align:middle I mean, to be blunt, we did include an incentive in the 2020 survey and it 00:28:40.070 --> 00:28:43.173 position:50% align:middle went out in March of 2020. 00:28:43.173 --> 00:28:51.200 position:50% align:middle And the incentive was a cell phone case protector that was stamped on there, "Made in China." 00:28:51.200 --> 00:28:57.210 position:50% align:middle And it's just, like, that was a hint to us, maybe we shouldn't be in this business. 00:28:57.210 --> 00:29:04.632 position:50% align:middle But even...we've tried other stuff and it hasn't helped as much as simply... 00:29:05.923 --> 00:29:10.550 position:50% align:middle What we're doing for the current survey is we just are going to mail it, 00:29:10.550 --> 00:29:15.150 position:50% align:middle we're going to mail it appropriately with good cover letters and include the survey in every mailing. 00:29:15.150 --> 00:29:18.890 position:50% align:middle We'll do it a few times and just standard practice for this. 00:29:19.631 --> 00:29:22.210 position:50% align:middle - That's good. It validates kind of our approach. 00:29:22.210 --> 00:29:27.260 position:50% align:middle My second question was, did you do any analysis or ask any questions 00:29:27.260 --> 00:29:31.720 position:50% align:middle around domestically-educated nurses versus internationally-educated nurses? 00:29:31.720 --> 00:29:34.380 position:50% align:middle You know, that's a big trend right now. 00:29:34.380 --> 00:29:40.730 position:50% align:middle - Well, I mean, we collected the data, but we haven't really focused on any breakouts of that. 00:29:40.730 --> 00:29:45.730 position:50% align:middle That's actually an excellent topic for something to look at. 00:29:45.730 --> 00:29:48.080 position:50% align:middle So, I'll take note of it. So, anyway... - Thank you. 00:29:48.080 --> 00:29:51.470 position:50% align:middle - I think that's it. I want see what Linda asked to say. 00:29:51.470 --> 00:29:53.886 position:50% align:middle So, thank you very much. Appreciate it.