| Literature DB >> 27206453 |
Natalie M Colaneri1, Sarah A Keim2, Andrew Adesman1.
Abstract
Objective: The recent rise in ADHD has prompted concerns about adolescents with ADHD diverting and/or misusing stimulants. This is the first study to assess physician perceptions of the pervasiveness of these issues. Method: Questionnaires were mailed to a national sample of pediatric subspecialists. Responses were analyzed (n = 826; 18% response rate) using descriptive statistics and regression analyses.Entities:
Keywords: ADHD; cognitive performance enhancement; diversion; prescription drug abuse; stimulant misuse
Year: 2016 PMID: 27206453 PMCID: PMC6939320 DOI: 10.1177/1087054716649664
Source DB: PubMed Journal: J Atten Disord ISSN: 1087-0547 Impact factor: 3.256
Demographics of Physician Sample.
| Total | CAP | CN | DBP | ||
|---|---|---|---|---|---|
| Gender[ | |||||
| Male | 369 (45%) | 255 (44%) | 61 (58%) | 53 (38%) | <.01 |
| Female | 456 (55%) | 324 (56%) | 44 (42%) | 88 (62%) | |
| For approximately how many high-school students with ADHD do you currently prescribe stimulant medication? | |||||
| 1-10 patients | 158 (19%) | 101 (17%) | 24 (23%) | 33 (23%) | .01 |
| 11-30 patients | 245 (30%) | 158 (27%) | 36 (34%) | 51 (36%) | |
| >30 patients | 423 (51%) | 320 (55%) | 46 (43%) | 57 (40%) | |
| How many years ago did you complete your subspecialty training?[ | |||||
| <5 | 122 (15%) | 87 (15%) | 14 (13%) | 21 (16%) | <.01 |
| 5-15 | 313 (38%) | 252 (44%) | 32 (31%) | 29 (22%) | |
| 16-30 | 335 (41%) | 237 (41%) | 37 (35%) | 61 (46%) | |
| >30 | 45 (6%) | 1 (0.2%) | 22 (21%) | 22 (17%) | |
Note. CAP = child and adolescent psychiatrists; CN = child neurologists; DBP = developmental and behavioral pediatricians.
Chi-square comparisons were performed to assess three-way differences between CAP, CN, and DBP.
Missing data from one respondent.
Missing data from 11 respondents.
Physician Perceptions of Stimulant Diversion and Misuse Among Their Own Patients.
| In the past 12 months, how many of your high school–age patients with ADHD have you suspected were selling or giving their stimulant medication to others? | In the past 12 months, how many of your high school–age patients with ADHD have you suspected were exaggerating their present ADHD symptoms to get more stimulants for misuse or diversion?[ | |||||||
|---|---|---|---|---|---|---|---|---|
| 0 | >1 | RR | aRR[ | 0 | >1 | RR | aRR[ | |
| CAP[ | 182 (31%) | 397 (69%) | — | — | 219 (38%) | 360 (62%) | — | — |
| CN | 61 (58%) | 45 (42%) | 61 (58%) | 45 (42%) | ||||
| DBP | 98 (70%) | 43 (30%) | N/A | 105 (75%) | 35 (25%) | N/A | ||
| Male DBP | 29 (55%) | 24 (45%) | 35 (67%) | 17 (33%) | ||||
| Female DBP | 69 (78%) | 19 (22%) | 70 (80%) | 18 (20%) | ||||
| Total ( | 341 (41%) | 485 (59%) | 385 (47%) | 440 (53%) | ||||
Note. RR = risk ratio; CI = confidence interval; CAP = child and adolescent psychiatrists; CN = child neurologists; DBP = developmental–behavioral pediatricians.
Missing data from one respondent.
Adjusted risk ratios (aRR) included variables for physician gender (except for DBP), prescribing volume, and recency of subspecialty training. Gender was an effect measure modifier for DBP only; one respondent was missing data for gender.
CAP subspecialists were considered the reference group in these analyses.
All risk ratios in bold are statistically significant.
Physician Perceptions of Stimulant Diversion With Prescribing Volume as an Effect Measure Modifier.
| In the past 12 months, how many of your high school–age patients with ADHD have you suspected were selling or giving their stimulant medication to others? | ||||
|---|---|---|---|---|
| 0 | >1 | RR [95% CI] | aRR[ | |
| Low-volume prescribers[ | ||||
| CAP[ | 53 (52%) | 48 (48%) | — | — |
| CN | 22 (92%) | 2 (8%) | ||
| DBP | 32 (97%) | 1 (3%) | ||
| Medium-volume prescribers[ | ||||
| CAP[ | 57 (36%) | 101 (64%) | — | — |
| CN | 19 (53%) | 17 (47%) | 0.74 [0.51, 1.06] | 0.90 [0.64, 1.29] |
| DBP | 37 (73%) | 14 (27%) | ||
| High-volume prescribers[ | ||||
| CAP[ | 72 (23%) | 248 (78%) | — | — |
| CN | 20 (43%) | 26 (57%) | 0.77 [0.59, 1.01] | |
| DBP | 29 (51%) | 28 (49%) | ||
| Total ( | 341 (41%) | 485 (59%) | ||
Note. RR = risk ratio; CI = confidence interval; CAP = child and adolescent psychiatrists; CN = child neurologists; DBP = developmental–behavioral pediatricians;
Adjusted risk ratios (aRR) included variables for physician gender and recency of subspecialty training; one respondent was missing data for gender.
Low-volume prescribers currently prescribe stimulants to 1 to 10 adolescent patients.
CAP subspecialists were considered the reference group in these analyses.
Medium-volume prescribers currently prescribe stimulants to 11 to 30 adolescent patients.
High-volume prescribers currently prescribe stimulants to >30 adolescent patients.
All risk ratios in bold are statistically significant.
Physician Perceptions of Patients Feigning ADHD Symptoms to Obtain Stimulants for Non-Medical Purposes.
| In the past 12 months, how many times have you suspected that a high-school student was complaining of ADHD symptoms so that he or she could get an initial diagnosis of ADHD in order to get stimulant medication for the purpose of: | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Any reason | Academic improvement[ | Weight loss[ | Diversion[ | Getting high[ | ||||||||||||||||
| 0 | >1 | RR | aRR[ | 0 | >1 | RR | aRR[ | 0 | >1 | RR | aRR[ | 0 | >1 | RR | aRR[ | 0 | >1 | RR | aRR[ | |
| CAP[ | 106 (18%) | 473 (82%) | — | — | 162 (29%) | 406 (71%) | — | — | 290 (52%) | 266 | — | — | 292 (53%) | 261 (47%) | — | — | 289 | 265 (48%) | — | — |
| CN | 39 (38%) | 65 (63%) | 42 (40%) | 62 (60%) | 71 | 31 | 74 | 28 | 84 | 17 (17%) | ||||||||||
| DBP | 69 (50%) | 69 (50%) | N/A | 72 (52%) | 66 (48%) | N/A | 112 (85%) | 19 (15%) | N/A | 116 (89%) | 15 (11%) | N/A | 120 (91%) | 12 | N/A | |||||
| Male | 21 (40%) | 32 (60%) | 22 (42%) | 31 (58%) | 0.84 | 0.78 | 39 | 9 | 40 | 8 | 43 | 6 | ||||||||
| Female | 48 (56%) | 37 (44%) | 50 (59%) | 35 (41%) | 73 (88%) | 10 | 76 | 7 | 77 | 6 | ||||||||||
| Total ( | 214 (26%) | 607 (74%) | 276 (34%) | 534 (66%) | 473 (60%) | 316 (40%) | 482 (61%) | 304 (39%) | 493 | 294 (37%) | ||||||||||
Note. RR = risk ratio; CI = confidence interval; CAP = child and adolescent psychiatrists; CN = child neurologists; DBP = developmental–behavioral pediatricians.
Missing data from five respondents.
Missing data from 16 respondents.
Missing data from 37 respondents.
Missing data from 40 respondents.
Missing data from 39 respondents.
Adjusted risk ratios (aRR) included variables for physician gender (except for DBP), prescribing volume, and recency of subspecialty training. Gender was an effect modifier for DBP only; one respondent was missing data for gender.
CAP subspecialists were considered the reference group in these analyses.
All risk ratios in bold are statistically significant.