Telemedicine Use in Children Aged 0–17 Years: United States, July–December 2020

May 10, 2022

Questions for Maria Villarroel, Health Statistician and Lead Author of “Telemedicine Use in Children Aged 0–17 Years: United States, July–December 2020.”

Q: Why did you decide to look at telemedicine among U.S. children during the pandemic?

MV: We know that telemedicine use expanded during the COVID-19 pandemic. Telemedicine became a key practice in health care that supports social distancing and decreases contact between health care staff and other patients for the receipt of health care services and reduce the spread of infection. However, there are limited estimates of telemedicine use, especially in children, and this report aims to address that gap.


Q: How did the data vary by age groups, income level and region?

MV: We examined telemedicine use in two ways: 1) telemedicine use in the past 12 months from the time of interview in July-December 2020, so this included both pre-pandemic and pandemic periods; and 2) telemedicine use because of reasons related to the coronavirus pandemic during the first year of the pandemic – 2020.

We found that telemedicine use in the past 12 months varied by age of the child and family income. Telemedicine use in the past 12 months was highest for younger children (aged 4 years and under) and older children (12 to 17 years), and lowest for children aged 5 to 11 years.  Telemedicine use in the past 12 months was highest for children with family incomes below the federal poverty level and at or above 400% of the federal poverty level, and lowest for children with family incomes at 100%–199% of the federal poverty level.  Although not statistically significant, a similar pattern by age was observed for telemedicine use due the pandemic, while telemedicine use due to the pandemic was highest for children with family income at or above 400% of the federal poverty level.

Telemedicine use in the past 12 months and telemedicine use because of the pandemic varied by region. Children living in the Northeast were more likely to have used telemedicine than children living in the Midwest and South regions, and similarly as likely to have used telemedicine as children living in the West region. 


Q: How did telemedicine use vary between urban and rural areas?

MV: In this study, we used the NCHS Urban–Rural Classification Scheme for Counties to classify urbanization level, and we compared telemedicine use in children living in large metropolitan areas, medium and small metropolitan areas, and nonmetropolitan areas.

We found that both telemedicine use in the past 12 months and telemedicine use because of the pandemic were lower in nonmetropolitan areas compared with metropolitan areas. But we also observed that the percentage point difference between metropolitan and nonmetropolitan areas was wider for the use of telemedicine because of the pandemic than for telemedicine use in the past 12 months. For example, we observed that children residing in metropolitan areas were more than two times as likely to have use of telemedicine because of the pandemic compared with children residing nonmetropolitan areas, but children in metropolitan areas were only about 1.3 to 1.4 more likely than children in nonmetropolitan areas to have used telemedicine in the past 12 months.   


Q: Do you have comparative trend data that goes further back than the second half of 2020?

MV: No. Telemedicine questions were introduced into the NHIS survey in July 2020 as one of the emerging public health topics affecting the United States related to the COVID-19 pandemic, which was declared in March 2020 by the World Health Organization.

Trend data on telemedicine use in children is limited.  Since April 2020, the experimental data system called the Household Pulse Survey, which is a collaboration between multiple federal agencies, began collecting data on telemedicine use in the past 4 weeks in households with at least one child under 18 years of age, among other social and economic impacts of the COVID-19 pandemic. 


Q: What is the main takeaway message here?

MV: Approximately 12.6 million children in the U.S.—corresponding to 17.5% of children aged 0–17 years—used telemedicine in the past 12 months from the time of interview in July-December 2020 (a period that included time before and during the coronavirus pandemic).  

Telemedicine use in the past 12 months varied by age of the child, family income, and region of the country.

Approximately 10.2 million U.S. children—corresponding to 14.1% of children aged 0–17 years—used telemedicine in 2020 because of the pandemic.

Telemedicine use because of the pandemic varied by education of the parents living with the child and region of the country and urbanization level of residence.

Telemedicine use in the past 12 months and because of the pandemic was higher for children with current asthma, a developmental condition, and disability.


QuickStats: Percentage of Adults Aged ≥18 Years Who Met the Federal Guidelines for Muscle-Strengthening Physical Activity, by Age Group and Sex — National Health Interview Survey, United States, 2020

May 6, 2022

In 2020, 35.2% of men and 26.9% of women aged ≥18 years met the federal guideline for muscle-strengthening physical activity.

The percentage of men who met the muscle-strengthening guideline decreased with age from 44.5% for those aged 18–44 years, to 29.9% for those aged 45–64 years, and to 22.0% for those aged ≥65 years.

The percentage also decreased with age among women from 34.1% for those aged 18–44 years, to 23.8% for those aged 45–64 years, and to 17.2% for those aged ≥65 years.

Men were more likely to have met the muscle-strengthening guideline than women in all age groups.

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7118a6.htm


QuickStats: Percentage of Currently Employed Adults Aged ≥18 Years Who Had Paid Sick Leave Benefits at Last Week’s Job or Business, by Region — National Health Interview Survey, United States, 2019 and 2020

April 29, 2022

The percentage of currently employed adults who had access to paid sick leave increased from 62.1% in 2019 to 66.5% in 2020.

During this period, increases were noted among all regions of the country (Northeast: from 65.6% to 69.8%, Midwest: from 60.1% to 64.5%, South: from 59.1% to 63.5%, and West: from 65.8% to 70.3%).

In both years, rates were highest in the Northeast and West and lowest in the Midwest and South.

Source: National Health Interview Survey, 2019–2020 data. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7117a4.htm


QuickStats: Percentage of Adults Aged 18–64 Years Who Had a Dental Visit in the Past 12 Months, by Dental Insurance and Year — National Health Interview Survey, United States, 2019–2020

April 22, 2022

The percentage of adults aged 18−64 years who had a dental visit during the past 12 months decreased from 65.5% in 2019 to 62.7% in 2020.

From 2019 to 2020, the percentage of adults aged 18−64 years who had a dental visit during the past 12 months decreased for those with dental insurance (75.0% to 72.0%) and those without dental insurance (47.8% to 45.4%).

In both 2019 and 2020, adults with dental insurance were more likely to have a dental visit than those without dental insurance.

Source: National Center for Health Statistics, National Health Interview Survey, 2019 and 2020. https://www.cdc.gov/nchs/nhis.htm


QuickStats: Percentage of Adults Aged 18 Years or Older Who Have Difficulty Hearing Even When Using a Hearing Aid, by Age Group — National Health Interview Survey, United States, 2020

March 25, 2022

In 2020, 12.3% of adults aged ≥18 years had some difficulty hearing even when using a hearing aid and 1.5% had a lot of difficulty or could not hear at all.

The percentage of adults who had some difficulty hearing increased with age, from 6.0% among those aged 18–44 years, to 12.6% among those aged 45–64 years, and to 25.0% among those aged ≥65 years.

The percentage of adults who had a lot of difficulty hearing or were unable to hear at all also increased with age, from 0.5% among those aged 18–44 years, to 1.6% among those aged 45–64 years, and to 3.7% among those aged ≥65 years.

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7112a5.htm


QuickStats: Percentage of Adults Aged ≥18 Years Who Sleep <7 Hours on Average in a 24-Hour Period, by Sex and Age Group

March 11, 2022

Overall, 28.3% of men and 27.2% of women aged ≥18 years slept <7 hours on average within a 24-hour period.

Among persons aged 18–44 years, men (28.8%) were more likely to sleep <7 hours compared with women (25.6%).

Among adults aged 45–64 years, the percentage was similar for men (31.1%) and women (30.7%).

However, among those aged ≥65 years, women (25.5%) were more likely than men (22.6%) to sleep <7 hours.

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis/index.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7110a6.htm


QuickStats: Percentage of Adults Aged ≥18 Years with Kidney Disease, by Age Group and Sex — National Health Interview Survey, United States, July–December 2020

March 4, 2022

During July–December 2020, 3.1% of adults aged ≥18 years had kidney disease.

The prevalence of kidney disease increased with age, from 1.1% among adults aged 18–44 years to 3.1% among those aged 45–64 years and to 7.1% among those aged ≥65 years.

Among adults aged ≥65 years, a higher percentage of men had kidney disease (8.3%) compared with women (6.1%).

No significant differences were observed by sex for adults aged 18–44 years (0.9% for men versus 1.3% for women) and those aged 45–64 years (2.9% for men versus 3.3% for women).

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7109a5.htm


PODCAST – Q & A on 2020 Maternal Mortality Data

February 23, 2022

https://www.cdc.gov/nchs/pressroom/podcasts/2022/20220223/20220223.htm

HOST: NCHS kicked off the month of February with the latest annual report on Births in the country, using final data from 2020.  Most of the data were already reported in the provisional 2020 report last May, but there are a few topics that did not appear in that report.

For example, cigarette smoking during pregnancy.  The new report shows nearly 6% of women smoked at some point during their pregnancy in 2020, which was an 8% decline from 2019.  Multiple births in the country have dropped as well.  The twin birth rate in 2020 was down 8% from its high in 2014, and the triplet and higher order multiple birth rate was down 9% from 2019.

NCHS also updated its state-by-state life tables, using data from 2019.  The report showed Hawaii and California had the highest life expectancy of any state.  Hawaiians and Californians are expected to live nearly 81 years, according to the 2019 data.  Mississippi had the lowest life expectancy of any state – 74.4 years at birth.

Two new reports using National Health Interview Survey data from 2020 looked at variations in Health Insurance coverage by geographic and demographic factors.  The studies focused on adults between ages 18 and 64.  The geographic study showed that four states – Georgia, Florida, Texas and North Carolina – had uninsured rates among adults that were higher than the national average.  This report also showed that another four states – New York, Pennsylvania, Michigan, and California – had uninsured rates among adults that were lower than the national average.

Meanwhile, in the demographic report, the data show that nearly 1 in 10 or 31.6 million people of all ages were uninsured at the time of the interview. This includes 31.2 million people under age 65. Five percent of children under 18 were uninsured, and 14% of working-age adults ages 18–64. Nearly 2/3 of people under age 65 were covered by private health insurance, and over half were covered from employment-based coverage.   Four percent were covered by exchange-based coverage, a type of directly purchased coverage. Among people under age 65, about 2 out of 5 children and 1 out of 5 adults were covered by public health coverage, mainly by Medicaid and the Children’s Health Insurance Program or “CHIP.”

In other NCHS news, the February release of provisional data on drug overdose deaths in America featured improvements in the timeliness of the data.  Since the monthly releases began in September of 2017, there has been a lag of six months in the data.  However, beginning with the February 2022 release, that lag has been tightened to only four months, so this new release features data from the one-year period ending in September 2021.  The trends, however, remain the same; drug overdose deaths in the U.S. continue to rise, driven by overdoses from fentanyl and other synthetic opioids.

NCHS also updated its marriage and divorce rate tables in February.  Though NCHS hasn’t collected comprehensive statistics on marriage and divorce since the 1990’s, the Center does post annual tables both nationally and by state on the number of marriages and divorces per 1,000 population.  As in years past, Nevada had the highest marriage rate in the nation, more than twice the rate of the next highest state, Montana.  Wyoming had the highest divorce rate per 1,000 in the country, edging out Alabama.

NCHS also has a new report coming out this week showing that 1 in 10 children under age 18 live in households that had food insecurity in the past month, using data from the 2019-2020 National Health Interview Survey.  Non-Hispanic Black children and Hispanic children were more than twice as likely as non-Hispanic white children to live in households experiencing food insecurity in the past month.

Finally, NCHS released new 2020 data on maternal mortality in the U.S.  The new data show that in 2020, 861 women in the United States died of maternal causes, compared with 754 deaths in 2019.  The maternal mortality rate for 2020 was 23.8 deaths per 100,000 live births, compared with a rate of 20.1 in 2019.  The rate for non-Hispanic black women was significantly higher than for Hispanic women and non-Hispanic white women.

For several years, NCHS had paused its collection of maternal mortality statistics due to data quality issues, but the Center resumed collection of these important data in 2018, and the first data in (11 years) were released in January 2020.  At that time we had a Statcast discussion with Robert Anderson, the chief of Mortality Statistics at NCHS about the data quality issues in the past, as well as the new collection efforts.  Here is a snippet of that conversation:

V/O: “STATCAST REPLAY… JANUARY 30, 2020”

HOST: Now, with maternal mortality there’s a whole back story – can you share that with us?

ROBERT ANDERSON: Yeah, it’s sort of a long and involved process that we’ve gone through over the last decade and a half or so.  So in the past, as we’ve collected data on maternal deaths – and here we’re talking about years prior to 2003 in particular – research had shown that we tended to underestimate maternal deaths.  And so in order to address that issue, we felt that adding a checkbox item to the death certificate asking whether the decedent was pregnant or recently pregnant was a good idea.  And so we revised our standard death certificate – this is the standard that the states use to base their own state death certificates on –  we revised that to include this checkbox item.  So that was implemented in 2003 but only in a few states. Unfortunately, not all states implemented at the same time and so over the next, well, decade and a half – a little bit more than that actually – we had states implementing gradually this checkbox item and as a result that we saw increases in maternal mortality.  And it got to the point that in 2007, we decided that we couldn’t adequately interpret what was going on and so we stopped reporting maternal mortality altogether, waiting for all of the states to get onto the standard certificate at which point we planned to resume.  So the final state implemented the checkbox item in mid-year 2017, so 2018 is the first data year for which we have data from all states that is based on that checkbox.  So we decided we needed to do an evaluation though, of the data because research post 2003 showed that there were some problems with the checkbox – some errors that were evident.  And so we did this evaluation and we found indeed there were some problems and so we had to come up with a new method to code maternal mortality that would mitigate those errors.  So with the 2018 data we’re now releasing a figure that we believe reasonably represents the risk of maternal mortality in the United States.

HOST: Can we say that the maternal mortality deaths and the maternal mortality rate increased over time?

ROBERT ANDERSON: Well, we can’t really say that with any sort of certainty.  We do know that the increases that we’ve seen compared to the older data that we released, the increases that we’ve seen are largely – mostly even – due to implementation of the checkbox.  They don’t appear to be real increases.

ROBERT ANDERSON: We did an analysis based on 2015 and 2016 data.  The purpose of that particular analysis was to look at the effect of the checkbox on maternal mortality and what we found was that there was a dramatic increase in the number of maternal deaths detected as a result of using the checkbox.  And we also found that that increased very dramatically by age, so at the older ages, the checkbox increased the number of maternal deaths detected by quite a lot.

HOST: So the checkbox you feel then is giving a clearer picture of what the scope of the problem is?

ROBERT ANDERSON: I wish I could say that was the case – we feel like it is definitely allowing us to detect maternal deaths that we weren’t able to detect before.  That said, we know that there are some errors in the checkbox and we’re not entirely sure why these errors are occurring.  This is something that we’re going to be exploring over the course of the next year.  We’re trying to sort that out so we can actually correct it.  But the effect of these errors on the checkbox is that we are finding deaths to women who were not pregnant but for whom that the checkbox was checked that they were pregnant.  And some of these women are quite old actually – beyond reproductive age.

HOST: So when did you start uncovering those problems along this process?

ROBERT ANDERSON: Well, we didn’t actually discover this.  There were some states that were doing their own research on this – the state of Texas, for example, did some important research and they found errors.  CDC’s Division of Reproductive Health did some work with four states recently, that they recently published, that showed that this was the case as well.  And so we were really taking the results of that research, along with our own evaluation, to determine what was going on.

HOST: What else have you found – are there any geographic patterns that suggest maternal deaths are more prevalent in certain parts of the country?

ROBERT ANDERSON: Well, we can’t really say much about maternal mortality by state or by region. Unfortunately, we really don’t understand very well the variation in data quality from state to state. The numbers get quite small and it’s difficult to make judgments based on small numbers – the death rates, mortality rates, get to be very unstable with small numbers.

HOST: So some have been saying or arguing that the problem has been getting worse over time, that even now we don’t have a complete picture.  What would you say to that?

ROBERT ANDERSON: Well, I would agree that we don’t have a complete picture. The evidence that we’re seeing suggests that the problem isn’t really getting worse, but it doesn’t appear to be getting better either.  And that’s, uh, that’s something to be concerned about.  We have data from maternal mortality back to 1915 and we saw substantial declines – they’re really dramatic declines, we’ve seen dramatic decline since then and in recent decades the rate has been rather flat in comparison.

HOST: So one of these new reports looks at a 20 year period prior to the 2018 data. Could you talk about that?

ROBERT ANDERSON: Sure.  As part of our evaluation we did this initial study based on the 2015 and 2016 data to get a sense of the impact of the checkbox and that was based on actual data that we had, we recoded not using the checkbox and then compared it to what we had with the checkbox.  This other study was a little more involved and involves some statistical modeling, and so what we wanted to do with that study was to get a sense for what things would have looked like had all of the states implemented in 2003.  So that was the goal and so we have this trend based on these statistical modeling procedures that shows a fairly stable trend .

HOST: The second report was more focused on the years 2015 and 2016 – can you talk about that work?

ROBERT ANDERSON: Sure.  Yeah, the report based on the data years 2015 and 2016 is really an evaluation of the effect of the checkbox.  And those years were chosen because those were years for which we had data coded without the checkbox.  So we took these data, assuming no checkbox existed, and then we compared that with the data that we had that included the checkbox to get a sense for, to evaluate the effect of the checkbox on the maternal mortality.

HOST: Looking forward, are there any more initiatives underway in terms of improving this whole process and the quality of the data?

ROBERT ANDERSON: Yeah, there’s a lot of, a lot more work to do, really.  I mean, we have to understand better why these errors are occurring in the checkbox.  It may have something to do with electronic registration systems in the way they’re configured.  We’re not really sure, but what we really need to understand if we’re going to correct these errors – we really need to understand why they are occurring and so that’s something that we’ll be working on over the course of the next year.   In addition, we need to work with states and our plan is to do this, to work with states to investigate deaths to women of reproductive age to determine if a pregnancy or recent pregnancy was a factor in their death and this is this can be done using some data linkage to look in birth records and fetal death records for evidence of a pregnancy. I think we can glean a lot of information if we just, you know, take the time and effort to go and look and see.  What we have to do is, we have to work with the states to do this because they are the keeper of those records. They’re the ones that will have to do it and if we can support them in those efforts then hopefully we can get information that will feed back into the vital statistics system and provide us with better data in the future.

HOST: Robert Anderson, thank you for joining us.


QuickStats: Percentage of Children and Adolescents Aged 5–17 Years Who Reported Being Tired Most Days or Every Day, by Age Group and Hours of Screen Time

February 11, 2022

In 2020, 3.5% of children aged 5–11 years and 10.9% of adolescents aged 12–17 years reported being tired on most days or every day.

Among adolescents aged 12–17, the percentage reporting being tired was higher (12.0%) for those who reported >2 hours of screen time (in addition to that for schoolwork) per weekday than for those who reported ≤2 hours of screen time each day (6.5%). In children aged 5–11 years, the percentage reporting being tired did not differ by hours of screen time (3.6% for >2 hours versus 3.5% for ≤2 hours).

Regardless of the amount of screen time reported, adolescents aged 12–17 years were more likely to report being tired on most days or every day than were children aged 5–11 years.

Source: National Center for Health Statistics, National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7106a5.htm


QuickStats: Percentage of Adults Aged ≥18 Years with Diagnosed Diabetes, by Disability Status and Age Group — National Health Interview Survey, United States, 2020

January 28, 2022

In 2020, 25.7% of adults aged ≥18 years with disability had diagnosed diabetes compared with 7.7% of those without disability.

For each age group, those with disability were more likely to have diabetes: adults aged 18–44 years (8.3% versus 2.2%), 45–64 years (25.3% versus 9.9%), and ≥65 years (34.2% versus 17.8%).

Regardless of disability status, the percentage of adults with diagnosed diabetes increased with age.

Source: National Health Interview Survey, 2020. https://www.cdc.gov/nchs/nhis.htm

https://www.cdc.gov/mmwr/volumes/71/wr/mm7104a6.htm