| Literature DB >> 28566896 |
Natalie Stollon1, Yi Zhong1, Maria Ferris1, Suneet Bhansali1, Brian Pitts1, Eniko Rak1, Maureen Kelly1, Sandra Kim1, Miranda A L van Tilburg1.
Abstract
AIM: To describe the longitudinal course of acquisition of healthcare transition skills among adolescents and young adults with inflammatory bowel diseases.Entities:
Keywords: Crohn’s disease; Healthcare transition; Inflammatory bowel disease; Pediatrics; Ulcerative colitis
Mesh:
Year: 2017 PMID: 28566896 PMCID: PMC5434442 DOI: 10.3748/wjg.v23.i18.3349
Source DB: PubMed Journal: World J Gastroenterol ISSN: 1007-9327 Impact factor: 5.742
Sample summary statistics
| Age at baseline | 144 | 15.67 ± 1.9 |
| Age (time-varying) | 226 | 15.88 ± 2.0 |
| Age of diagnosis | 144 | 12.20 ± 2.8 |
| Female | 77 | 53.5% |
| Race: White | 102 | 70.8% |
| Race: AFAM | 31 | 21.5% |
| Race: Hispanic | 3 | 2.1% |
| Race: Other | 8 | 5.6% |
| Private Health Insurance | 114 | 79.2% |
| Public Health Insurance | 26 | 18.1% |
| Self-pay | 4 | 2.8% |
Percentages have been rounded and may not sum to one.
TRxANSITION subtotal averages by age groups
| Type of chronic health condition | 0.80 | 0.85 | 0.92 | 0.98 |
| Medications (Rx) | 0.81 | 0.83 | 0.86 | 0.89 |
| Adherence | 0.83 | 0.86 | 0.79 | 0.86 |
| Nutrition | 0.80 | 0.76 | 0.84 | 0.80 |
| Ongoing support | 0.87 | 0.91 | 0.97 | 0.93 |
| Issues of reproduction | 0.29 | 0.48 | 0.66 | 0.81 |
| Trade/school | 0.44 | 0.49 | 0.70 | 0.83 |
| Insurance | 0.48 | 0.47 | 0.66 | 0.76 |
| New health care providers | 0.48 | 0.41 | 0.59 | 0.74 |
| Self-management skills | 0.28 | 0.38 | 0.49 | 0.77 |
| Number of observations | 65 | 73 | 67 | 21 |
Age at which youth mastered a skill (defined as subdomain score > 0.75) is highlighted in the table.
Raw wave-to-wave and yearly score gains overtime for pediatric inflammatory bowel diseases patients
| Type of chronic health condition | 0.08 ± 0.20 | -0.33-0.67 | 0.10 ± 0.33 | -0.64-1.58 |
| Medications (Rx) | 0.06 ± 0.21 | -0.50-0.50 | 0.08 ± 0.34 | -1.19-1.19 |
| Adherence | 0.01 ± 0.23 | -0.50-0.50 | 0.04 ± 0.31 | -0.73-1.11 |
| Nutrition | 0.03 ± 0.27 | -0.67-0.83 | 0.07 ± 0.40 | -0.80-1.84 |
| Ongoing support | 0.01 ± 0.33 | -1.00-1.00 | 0.02 ± 0.53 | -2.21-1.86 |
| Issues of reproduction | 0.24 ± 0.41 | -0.50-1.00 | 0.26 ± 0.59 | -1.19-1.89 |
| Trade/school | 0.45 ± 0.55 | -1.00-1.00 | 0.51 ± 0.91 | -1.86-2.48 |
| Insurance | 0.17 ± 0.30 | -0.38-0.75 | 0.25 ± 0.47 | -0.47-1.92 |
| New health care providers | 0.17 ± 0.33 | -0.50-1.00 | 0.23 ± 0.52 | -1.19-2.01 |
| Self-management skills | 0.12 ± 0.27 | -0.67-1.00 | 0.06 ± 0.34 | -1.59-1.23 |
| Total | 1.34 ± 1.31 | -1.61-5.17 | 1.62 ± 2.18 | -3.08-10.91 |
| Number of observations | 82 | 81 | ||
Changes between an individual's two scores measured within 3 mo are dropped.
Regression results for level and growth of total TRxANSITION Scale™ Score
| Age | 0.42 | 0.00 | 0.21 | 0.00 |
| Female | 0.41 | 0.05 | 0.03 | 0.90 |
| Race: African American | -0.43 | 0.06 | -0.06 | 0.87 |
| Race: Other | -0.75 | 0.01 | -0.43 | 0.09 |
| Public insurance | -0.02 | 0.94 | -0.96 | 0.01 |
| No insurance | -0.70 | 0.07 | -0.70 | 0.06 |
| Age at diagnosis | -0.00 | 0.99 | 0.05 | 0.23 |
| Lag total score | 0.42 | 0.00 | ||
| Constant | 0.05 | 0.95 | 0.96 | 0.26 |
| 226 | 82 | |||
| R square | 0.32 | 0.52 | ||
Significance at 10%;
Significance at 5%;
Significance at 1%. Column 2-3 reported results from the first regression, where Sample 2 was used for the estimation. "Level effect" meant that the estimated coefficients reflect the marginal effects of the explanatory variables on the levels of total transition scores. Column 4-5 showed results from the second regression, where we included the lagged transition score as an additional independent variable and Sample 3 was used for estimation. "Growth effect" meant that conditional on the lagged transition score, the coefficients in the regression reflect the marginal effects of the explanatory variables on the growth in transition score between two scores. We estimated robust standard errors clustered at the patient level for both regressions.
Figure 1TRxANSITION score among patients with inflammatory bowel disease in pediatric setting.