| Literature DB >> 35514787 |
Sandeep Sahay1, Vijay Balasubramanian2, Humna Memon3, Abby Poms4, Eduardo Bossone5, Kristine Highland6, Dana Kay7, Deborah J Levine8, Christopher J Mullin9, Lana Melendres-Groves10, Stephen C Mathai11, Francisco J Soto12, Oksana Shlobin13, Jean M Elwing7.
Abstract
Pulmonary arterial hypertension (PAH) is a chronically progressive fatal disease. A goal-oriented approach to achieve low risk status has been associated with improved survival. A variety of risk stratification tools are available, but use is low. We conducted a survey to assess potential reasons for under-utilization. We conducted a survey-based study of global PAH disease specialists with a goal of assessing risk assessment utilization and identifying modifiable barriers to use. The survey was designed by the American College of Chest Physicians' Pulmonary Vascular Diseases (PVD) NetWork. Respondents were global members of the PVD NetWork and Pulmonary Hypertension Association. Survey invitations were sent electronically to all members. Participation was anonymous and no provider or patient level data was collected. Participants from four countries responded with the majority (84%) being from the United States. Our survey found suboptimal use of any risk stratification tool with 71/112 (63%) reporting use. A total of 85% of the respondents had more than 5 years of experience in managing PAH. REVEAL 2.0 and European Society of Cardiology/European Respiratory Society risk tools were the most commonly used. A total of 44 (65%) surveyed felt that use of risk tools led to change in PAH therapies. Only 6 (9%) felt they prompted additional testing or changed the frequency of follow-up. A total of 5 (7%) reported they prompted goals of care/palliative care discussions and 2 (3%) that they triggered lung transplant referral. The vast majority indicated that incorporation of risk tools into electronic medical records (EMR) would improve utilization. PAH risk assessment tools remain under-utilized. Most respondents were experienced PAH clinicians. More than one-third were not routinely using risk tools. Most felt that risk tools led to PAH therapy changes but few reported impacts on other aspects of care. The most commonly identified barriers to use were time constraints and lack of integration with EMR.Entities:
Keywords: REVEAL 2.0.; pulmonary arterial hypertension; quality improvement; risk assessment; survival
Year: 2022 PMID: 35514787 PMCID: PMC9063963 DOI: 10.1002/pul2.12057
Source DB: PubMed Journal: Pulm Circ ISSN: 2045-8932 Impact factor: 2.886
Proportion of each demographic of respondents who used risk assessment tools versus those who did not in their clinical practice
| Proportion of respondents who used risk assessment tools | Proportion of respondents who did not use risk assessment tools | |
|---|---|---|
| ( | ( | |
| Gender | ||
| Female (31) | 24/31 (77.41%) | 7/31 (22.58%) |
| Male (65) | 46/65 (70.77%) | 19/65 (29.23%) |
| Did not specify (1) | 1/1 (100) | |
| Specialty | ||
| Pulmonary (81) | 57/81 (70.37%) | 24/81 (29.63%) |
| Cardiology (14) | 13/14 (92.86%) | 1/14 (7.14%) |
| Internal medicine (2) | 1/2 (50%) | 1/2 (50%) |
| Country of residence | ||
| USA (81) | 63/81 (77.78%) | 18/81 (22.22%) |
| Others countries (16) | 8/16 (50%) | 8/16 (50%) |
| Setting of practice | ||
| An academic center (65) | 52/65 (80%) | 13/65 (20%) |
| A community‐based hospital (22) | 12/22 (54.5%) | 10/22 (45.5%) |
| Veterans' health administration or military health system (3) | 2/3 (66.67%) | 1/3 (33.33%) |
| Others (7) | 5/7 (71.43%) | 2/7 (28.57%) |
| Community of the hospital location | ||
| Urban (70) | 54/70 (77.14%) | 16/70 (22.86%) |
| Suburban (22) | 13/22 (59.09%) | 9/22 (40.90%) |
| Rural (5) | 4/5 (80%) | 1/5 (20%) |
| Years in practice | ||
| <5 Years (9) | 7/9 (77.78%) | 2/9 (22.22%) |
| 5–10 Years (21) | 17/21 (80.95%) | 4/21 (19.05%) |
| 11–20 Years (29) | 22/29 (75.86%) | 7/29 (24.14%) |
| >20 Years (37) | 25/37 (67.57%) | 12/37 (32.43%) |
| Currently in training (1) | 1 (100%) | |
| PAH patients in their practice | ||
| <50 Patients (43) | 26/43 (60.47%) | 17/43 (39.53%) |
| 50–100 Patients (14) | 11/14 (78.57%) | 3/14 (11.54%) |
| 101–250 Patients (19) | 15/19 (21.13%) | 4/19 (21.43%) |
| >250 Patientsn (21) | 19/21 (90.48%) | 2/21 (9.52%) |
| PHA Comprehensive Care Center (CCC or not) | ||
| Yes (36) | 30/36 (83.33%) | 6/36 (16.67%) |
| No (56) | 37/56 (66.07%) | 19/56 (33.93%) |
| Unknown (5) | 4/5 (80%) | 1/5 (20%) |
| PHA Regional Clinical Program (RCP) | ||
| Yes (11) | 11/11 (100%) | 0 (0.00%) |
| No (80) | 57/80 (71.25%) | 23/80 (28.75%) |
| Unknown (6) | 3/6 (50%) | 3/6 (50%) |
Demographics and geographical distribution of the survey respondents
| (a) United States regions of the participating clinicians | ||
|---|---|---|
| United States Region | ||
| N: 93 | ||
| Northeast | 26.88% | 25 |
| Southeast | 16.13% | 15 |
| Midwest | 23.66% | 22 |
| Northwest | 4.30% | 4 |
| Southwest | 27.96% | 26 |
| Alaska | 0.00% | 0 |
| Hawaii | 1.08% | 1 |
|
| ||
| N: 109 | ||
| An academic medical center | 65.14% | 71 |
| A community‐based hospital | 24.77% | 27 |
| Veterans' health administration or military health system | 2.75% | 3 |
| Other | 7.34% | 8 |
|
| ||
| N: 109 | ||
| Urban | 71.56% | 78 |
| Suburban | 23.85% | 26 |
| Rural | 4.59% | 5 |
Figure 1Type of risk assessment tools used by the clinicians for baseline or follow up evaluation of PAH patients in their clinics (Respondents may have chosen more than one option). PAH, pulmonary arterial hypertension
Figure 2Ordinal scale showing the degree of impact of risk assessment during baseline PAH patient evaluations on the elements of patient care listed below. PAH, pulmonary arterial hypertension
Figure 3Ordinal scale showing the impact of risk assessment during follow‐up PAH patient evaluations on the elements of patient care. PAH, pulmonary arterial hypertension
Type of electronic medical records system utilized in the clinical settings of the participants
| N: 60 | ||
|---|---|---|
| Epic | 60.00% | 36 |
| Computerized Patient Record System (CPRS) | 3.33% | 2 |
| Cerner | 18.33% | 11 |
| Allscripts | 5.00% | 3 |
| CureMD | 0.00% | 0 |
| eClinicalWorks | 5.00% | 3 |
| GE Healthcare | 3.33% | 2 |
| Amazing Charts | 0.00% | 0 |
| Other (please specify EMR) | 5.00% | 3 |
Abbreviation: EMR, electronic medical records.
Figure 4Ordinal scale of interventions which respondents believed may improve risk stratification utilization in clinical practice