| Literature DB >> 27800279 |
E W Jamoom1, D Heisey-Grove2, N Yang1, P Scanlon1.
Abstract
Optimization and experience with using EHRs may improve physician experiences. Physician opinions about EHR-related impacts, and the extent to which these impacts differ by self-reported optimized EHR use and length of experience are examined through nationally representative physician data of EHR users from the National Electronic Health Records Survey extended survey (n=1,471). Logistic regression models first estimated how physicians' length of times using an EHR were associated with each EHR-related impact. Additionally, a similar set of models estimated the association of self-reported optimized EHR use with each EHR impact. At least 70% of physicians using EHRs continue to attribute their administrative burdens to their EHR use. Physicians with 4 or more years of EHR experience accounted for 58% of those using EHRs. About 71% of EHR users self-reported using an optimized EHR. Physicians with more EHR experience and those in practices that optimized EHR use had positive opinions about the impacts of using EHRs, compared to their counterparts. These findings suggest that longer experience with EHRs improves perceptions about EHR use; and that perceived EHR use optimization is crucial to identifying EHR-related benefits. Finding ways to reduce EHR-related administrative burden has yet to be addressed.Entities:
Keywords: EHR optimization; Electronic health records; Health information technology; National Electronic Health Records Survey (NEHRS); Physicians
Year: 2016 PMID: 27800279 PMCID: PMC5084912 DOI: 10.4172/2157-7420.1000240
Source DB: PubMed Journal: J Health Med Inform ISSN: 2157-7420
Descriptive characteristics of EHR users.
| Characteristics of EHR users in 2014 | All physicians (n=1,763) | Any EHR user (n=1,471) | |
|---|---|---|---|
| Percent | Percent | ||
| Physicians that use an EHR | 81.7 | 100.0 | |
| Physicians with certified health IT | 72.8 | 89.1 | |
| Any delivery service reform participation | 33.6 | 38.3 | |
| Accountable Care Organizations (ACOs) | |||
| Participation | 17.4 | 20.5 | |
| Not participating | 52.4 | 46.4 | |
| Missing | 30.2 | 33.0 | |
| Patient Centered Medical Homes (PCMH) | |||
| Participating | 8.1 | 9.7 | |
| Not participating | 63.7 | 58.2 | |
| Uncertain/missing | 28.2 | 32.1 | |
| Pay for Performance (P4P) | |||
| Participating | 22.2 | 24.7 | |
| Not participating | 53.7 | 48.0 | |
| Uncertain/missing | 24.2 | 27.3 | |
| Practice location size | |||
| Solo | 24.3 | 18.7 | |
| 2 physician | 13.4 | 13.2 | |
| 3 to 5 physician groups | 28.1 | 29.2 | |
| 6–10 physician group sizes | 17.9 | 19.4 | |
| 11 or more physicians | 16.4 | 19.5 | |
| Physician Age | |||
| Under 50 years | 40.8 | 43.9 | |
| 50 years and over | 59.2 | 56.1 | |
| Medical Specialty | |||
| Primary care specialty | 45.0 | 47.6 | |
| Other specialties | 55.0 | 52.4 | |
| Physician Ownership | |||
| Physician owned practice | 59.5 | 56.1 | |
| Other | 31.5 | 35.7 | |
| Missing | 9.0 | 8.2 | |
| Region | |||
| Northeast | 21.7 | 20.8 | |
| Midwest | 21.7 | 23.3 | |
| South | 36.4 | 35.1 | |
| West | 20.1 | 20.8 | |
| In Metropolitan Statistical Area? | |||
| Yes | 91.7 | 91.7 | |
| No | 8.3 | 8.3 | |
| No EHR experience | 12.8 | -- | |
| EHR experience | |||
| Under 4 years | 31.3 | 35.4 | |
| 4 years or more | 48.2 | 57.7 | |
| Uncertain/missing | 7.8 | 6.9 | |
| Practice has optimized EHR | -- | 72.8 | |
Source: CDC/NCHS, National Electronic Health Records Survey, 2014
Note: Item non-response for ACO, PCMH, and P4P was under 1%
Description of data elements used for multivariate regression.
| MODEL 1: Predicting attitudes for length of EHR use | MODEL 2: Optimization of EHR use | ||||
|---|---|---|---|---|---|
| Data element | Categories | Data element | Categories | ||
| Dependent | Attitudes of EHR use | Strongly agree or | Dependent | Attitudes of EHR use | Strongly agree or |
| Key independent variable | Length of use of EHR | 4 or more years | Key independent | Optimization | Yes |
| Less than 4 years | No | ||||
| Control variables | Certified EHR | Yes | Control variables | Certified EHR | Yes |
| No | No | ||||
| Participation in delivery system | Yes | Participation in delivery | Yes | ||
| (Defined as participation in at least | No | (Defined as participation | No | ||
| Physician Age | Less than 50 years | Physician Age | Less than 50 years | ||
| 50 years or older | 50 years or older | ||||
| Physician specialty | Primary care | Physician specialty | Primary care | ||
| Other medical/ | Other medical/surgical | ||||
| Practice size | 1–2 physicians | Practice size | 1–2 physicians | ||
| 3–4 physicians | 3–4 physicians | ||||
| 6–10 physicians | 6–10 physicians | ||||
| 11+ physicians | 11+ physicians^ | ||||
| Practice ownership | Private ownership | Practice ownership | Private ownership^ | ||
| Other | Other | ||||
| In a metropolitan statistical area? | Yes | In a metropolitan | Yes | ||
| No | No | ||||
| Region practice is located | Northeast | Region practice is | Northeast | ||
| Midwest | Midwest | ||||
| South | South | ||||
| West | West | ||||
| Length of use of EHR | 4 or more years | ||||
| Less than 4 years | |||||
Notes:
indicates reference group in model.
Length of EHR use was measured based on the item: “Estimate the approximate number of years you have used any EHR system.” The analyses compared physicians with 4 or more years of experience to those with 3 years or less. Physicians that answered a non-integer number were rounded to the nearest whole year. Length of EHR use was missing observations for 6.9 percent of physicians, and excluded from the analysis. Optimization was measured based on the item "Indicate the extent to which you agree or disagree with the following statements about using your EHR system: Overall my practice has optimized the use of its EHR system." The analyses compared physicians who agree to those who disagree with the statement. Optimization was missing observations for 3 percent of physicians, and excluded from the anlaysis. For each attitude, missing observations were removed resulting in different sample sizes for each question. Analyses were conducted using Stata 12.1 to account for weights and sample design. Interactions were not used as first we assessed EHR experience, then assessed the role of optimization for each impact. Given we saw differences in optimization, while controlling for experience, we did not further assess interaction between experience and optimization.
Dependent variables
My EHR system(s) meet(s) my practice's clinical needs
The time spent ordering medical services has increased.
My practice receives lab results faster.
The time spent reviewing patient information has increased.
My EHR produces clinical benefits for my practice.
Overall, my EHR saves me time.
The time spent documenting patient care has increased.
Overall, my practice functions more efficiently with an EHR system.
My EHR disrupts the way I interact with my patients.
My EHR allows me to deliver better patient care.
Health Information is less secure in my EHR system than a paper-based system.
My EHR enhances patient data confidentialty.
My EHR produces financial benefits for my practice.
Use of my EHR results in incomplete billing for services.
Overall, the benefits of having an EHR outweigh its cost.
Marginal effects of electronic health record system optimization on probability that physician agreed with the following attitude.
| Attitudes about EHR use | Sample | Practice has optimized the EHR | Practice has not optimized EHR use | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Percent | Standard | Confidence Interval | Percent | Standard | Confidence Interval | Diff. | p-value | ||||
| My EHR system(s) meet(s) my | 1324 | 84.0% | 0.018 | 80.5% | 87.5% | 49.6% | 0.035 | 42.8% | 56.5% | 34.4% | 0.0001 |
| The time spent ordering medical | 1265 | 67.8% | 0.025 | 62.9% | 72.7% | 82.9% | 0.034 | 76.3% | 89.6% | −15.1% | 0.002 |
| My practice receives lab results | 1285 | 74.2% | 0.020 | 70.2% | 78.1% | 52.8% | 0.037 | 45.7% | 60.0% | 21.4% | 0.0001 |
| The time spent reviewing patient | 1299 | 66.6% | 0.025 | 61.7% | 71.4% | 82.4% | 0.029 | 76.7% | 88.1% | −15.8% | 0.0002 |
| My EHR produces clinical | 1295 | 81.6% | 0.019 | 77.9% | 85.2% | 50.8% | 0.038 | 43.4% | 58.2% | 30.8% | 0.0001 |
| Overall, my EHR saves me time | 1322 | 54.1% | 0.024 | 49.4% | 58.9% | 13.6% | 0.024 | 13.6% | 2.4% | 40.5% | 0.0001 |
| The time spent documenting | 1323 | 82.0% | 0.020 | 78.0% | 85.9% | 90.6% | 0.019 | 86.9% | 94.4% | −8.7% | 0.0042 |
| Overall, my practice functions | 1323 | 73.6% | 0.020 | 69.6% | 77.6% | 27.7% | 0.034 | 21.1% | 34.2% | 46.0% | 0.0001 |
| My EHR disrupts the way I | 1320 | 57.8% | 0.025 | 52.9% | 62.8% | 85.1% | 0.024 | 80.4% | 89.7% | −27.2% | 0.0001 |
| My EHR allows me to deliver | 1308 | 69.1% | 0.022 | 64.9% | 73.3% | 22.7% | 0.027 | 17.4% | 28.0% | 46.4% | 0.0001 |
| Health Information is less | 1288 | 27.3% | 0.020 | 23.4% | 31.3% | 36.2% | 0.038 | 28.7% | 43.7% | −8.9% | 0.0354 |
| My EHR enhances patient data | 1285 | 70.0% | 0.023 | 65.5% | 74.5% | 46.1% | 0.040 | 38.4% | 53.9% | 23.9% | 0.0001 |
| My EHR produces financial | 1215 | 53.8% | 0.025 | 48.9% | 58.8% | 24.9% | 0.033 | 18.3% | 31.4% | 29.0% | 0.0001 |
| Use of my EHR results in | 1216 | 21.0% | 0.019 | 17.2% | 24.8% | 29.5% | 0.035 | 22.5% | 36.4% | −8.4% | 0.0259 |
| Overall, the benefits of having | 1266 | 69.1% | 0.023 | 64.6% | 73.6% | 31.1% | 0.035 | 24.3% | 38.0% | 38.0% | 0.0001 |
Source: CDC/NCHS, National Electronic Health Records Survey, 2014. Marginal effects are presented from logistic regression, where estimates are adjusted for having a certified system, experience with using EHRs, participation in any delivery system reform (ACO, P4P, or PCMH), age, specialty, practice size, ownership, metropolitan statistical area, and Census region. Item nonresponse for EHR optimization was about 3% and was removed from the analysis. Missing data for each attitude was removed resulting in different sample sizes for each question.
Figure 1Proportion of physicians reporting impacts on administrative burdens associated with EHR use, USA, 2014.
Source: National Electronic Health Records Survey, 2014
Note: This graph depicts physicians’ responses to each phrase, following the instructions to indicate “the extent to which you agree or disagree with the following statements about using your EHR system…” Estimates are unadjusted (n=1,471). Estimates are for those physicians with an EHR system, and missing for each attitude was removed between 4% to 13%
Figure 2Proportion of physicians reporting impacts on clinical care associated with EHR use, USA, 2014.
Source: National Electronic Health Records Survey, 2014
Note: This graph depicts physicians’ responses to each phrase, following the instructions to indicate “the extent to which you agree or disagree with the following statements about using your EHR system…” Estimates are unadjusted (n=1,471). Estimates are for those physicians with an EHR system, and missing for each attitude was removed between 4% to 13%.
Figure 3Proportion of physicians reporting financial and data security impacts associated with EHR use, USA, 2014.
Source: National Electronic Health Records Survey, 2014
Note: This graph depicts physicians’ responses to each phrase, following the instructions to indicate “the extent to which you agree or disagree with the following statements about using your EHR system…” Estimates are unadjusted (n=1,471). Estimates are for those physicians with an EHR system, and missing for each attitude was removed between 4% to 13%.
Figure 4Percentage difference in EHR-related impacts between physicians who had at least 4 years of EHR experience and physicians who had less than 4 years of EHR experience, USA, 2014.
Source: National Electronic Health Records Survey, 2014
Note: This graph displays the percentage difference in physicians’ responses to each phrase, following the instructions to indicate “the extent to which you agree or disagree with the following statements about using your EHR system…”, based on the length of time they have used their EHR system (4 or more years compared to fewer than 4 years). Estimates are adjusted for physician and office characteristics and for those physicians with an EHR system. Missing observations for each attitude was removed between 4% to 13%. **** p<0.001, ** p<0.05
Marginal effects of electronic health record user experience on probability that physician agreed with the following attitude.
| Attitudes about EHR use | Sample size (n) | Among physicians with under 4 | Among physicians with 4 years or more EHR | Diff. | p-value | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Percent | Standard | Confidence | Percent | Standard | Confidence Interval 95% | ||||||
| My EHR system(s) meet(s) my | 1345 | 62.8% | 0.031 | 56.7% | 68.9% | 81.1% | 0.018 | 77.5% | 84.7% | 18.3% | 0.0001 |
| Overall my practice has optimized | 1342 | 65.0% | 0.033 | 58.5% | 71.5% | 77.1% | 0.021 | 73.0% | 81.2% | 12.1% | 0.002 |
| The time spent ordering medical | 1274 | 73.6% | 0.034 | 66.9% | 80.4% | 71.2% | 0.025 | 66.2% | 76.1% | −2.5% | 0.5712 |
| My practice receives lab results | 1295 | 60.8% | 0.030 | 54.9% | 66.6% | 72.9% | 0.022 | 68.5% | 77.2% | 12.1% | 0.0011 |
| The time spent reviewing patient | 1308 | 73.8% | 0.032 | 67.5% | 80.1% | 69.3% | 0.026 | 64.3% | 74.3% | −4.6% | 0.2741 |
| My EHR produces clinical benefits | 1306 | 62.0% | 0.035 | 55.2% | 68.9% | 79.1% | 0.020 | 75.2% | 83.1% | 17.1% | 0.0001 |
| Overall, my EHR saves me time | 1336 | 33.9% | 0.032 | 27.6% | 40.1% | 49.3% | 0.026 | 44.2% | 54.4% | 15.5% | 0.0003 |
| The time spent documenting | 1336 | 84.5% | 0.023 | 80.0% | 88.9% | 84.6% | 0.019 | 80.9% | 88.3% | 0.2% | 0.9495 |
| Overall, my practice functions | 1338 | 49.2% | 0.035 | 42.4% | 56.0% | 68.4% | 0.024 | 63.6% | 73.1% | 19.2% | 0.0001 |
| My EHR disrupts the way I interact | 1332 | 72.5% | 0.032 | 66.2% | 78.8% | 60.6% | 0.026 | 55.5% | 65.6% | −12.0% | 0.0052 |
| My EHR allows me to deliver | 1324 | 43.4% | 0.035 | 36.6% | 50.2% | 64.8% | 0.024 | 60.0% | 69.6% | 21.4% | 0.0001 |
| Health Information is less secure | 1300 | 33.3% | 0.031 | 27.3% | 39.3% | 27.1% | 0.023 | 22.7% | 31.6% | −6.2% | 0.1043 |
| My EHR enhances patient data | 1297 | 53.5% | 0.036 | 46.5% | 60.5% | 69.8% | 0.024 | 65.2% | 74.5% | 16.3% | 0.0002 |
| My EHR produces financial | 1225 | 33.8% | 0.032 | 27.6% | 40.1% | 53.9% | 0.026 | 48.8% | 59.0% | 20.0% | 0.0001 |
| Use of my EHR results in | 1225 | 28.6% | 0.036 | 21.6% | 35.6% | 20.3% | 0.020 | 16.5% | 24.2% | −8.3% | 0.0389 |
| Overall, the benefits of having an | 1273 | 47.1% | 0.037 | 39.8% | 54.5% | 65.6% | 0.025 | 60.6% | 70.6% | 18.5% | 0.0001 |
Source: CDC/NCHS, National Electronic Health Records Survey, 2014
Note: Marginal effects are presented from logistic regression, where estimates are adjusted for having a certified system, participation in any delivery system reform (ACO, P4P, or PCMH), age, specialty, practice size, ownership, metropolitan statistical area, and Census region. Physicians that were uncertain or did not enter the number of years they used an EHR were not included in the model (6.9% of those with an EHR system). Missing data for each attitude was removed resulting in different sample sizes for each question
Figure 5Proportion of physicians reporting positive impacts associated with EHR use based on physicians’ belief about their practice’s optimization of EHR use, USA, 2014.
Source: National Electronic Health Records Survey, 2014
Note: This graph depicts physicians’ responses to each phrase, following the instructions to indicate “the extent to which you agree or disagree with the following statements about using your EHR system…” Estimates are adjusted for certified EHR, experience with EHR, participation in delivery service reform, age, primary care specialty, practice size, ownership, MSA status, and region. Optimized indicates physician believes practice has optimized the use of its EHR; Not optimized do not. ****p<0.001
Figure 6Proportion of physicians reporting negative impacts associated with EHR use based on physicians’ belief about their practice’s optimization of EHR use, USA, 2014.
Source: National Electronic Health Records Survey, 2014
Note: This graph depicts physicians’ responses to each phrase, following the instructions to indicate “the extent to which you agree or disagree with the following statements about using your EHR system…” Estimates are adjusted for certified EHR, experience with EHR, participation in delivery service reform, age, primary care specialty, practice size, ownership, MSA status, and region. Optimized indicates physician believes practice has optimized the use of its EHR; Not optimized do not. **** p<0.001; *** p<0.01; **p<0.05