| Literature DB >> 19643018 |
Fiona A Miller1, Paul Krueger, Robert J Christensen, Catherine Ahern, Ronald F Carter, Suzanne Kamel-Reid.
Abstract
BACKGROUND: Molecular oncology testing (MOT) to detect genomic alterations underlying cancer holds promise for improved cancer care. Yet knowledge limitations regarding the delivery of testing services may constrain the translation of scientific advancements into effective health care.Entities:
Mesh:
Year: 2009 PMID: 19643018 PMCID: PMC2731034 DOI: 10.1186/1472-6963-9-131
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Response rates
| Physicians | 611 | 317 | 51.88 | 21* | 53.73 |
| Labs | 99 | 57 | 57.58 | 5** | 60.64 |
| (Testing labs) | (30) | (17) | (56.67) | (3**) | (62.96) |
| (Referring labs) | (69) | (40) | (57.97) | (2**) | (59.70) |
* Not in practice or could not be located despite repeated efforts.
** Lab did not assess cancer samples or conduct relevant testing.
Characteristics of physician respondents
| Academic teaching unit | 162/276 (58.7) |
| Not-academic teaching unit | 114/276 (41.3) |
| Fee for service | 97/263 (36.9) |
| Not-fee for service | 166/263 (63.1) |
| Metropolitan/central city | 165/279 (59.1) |
| Metropolitan/suburban | 58/279 (20.8) |
| Small city or town | 44/279 (15.8) |
| Rural | 12/279 (4.3) |
| Female | 88/277 (31.8) |
| Male | 189/277 (68.2) |
| Specialty | 219/268 (81.7) |
| Medical oncology | (81/268) |
| Radiation oncology | (77/268) |
| Surgical oncology | (24/268) |
| Hematology/Hematological oncology | (20/268) |
| Gynecological oncology | (9/268) |
| Medical and hematological oncology | (3/268) |
| Non-oncologic specialists (general internal medicine, gastroenterology) | (5/268) |
| Family medicine | 49/268 (18.3) |
| Solid tumours only | 212/280 (75.7) |
| Hematological malignancies only | 12/280 (4.3) |
| Hematological malignancies and solid tumours | 56/280 (20.0) |
| Order any MOT | 193/287 (67.2) |
| Order no MOT | 94/287 (32.8) |
Characteristics of respondent laboratories
| Metropolitan/central city | |||
| Metropolitan/suburban | 4/17 (23.5) | 9/40 (22.5) | 1.000* |
| Small city/town | |||
| Rural | 0/17 (0) | 2/40 (5.0) | 1.000* |
| 0 – 500,000 | |||
| 500,000 – 2,000,000 | 8/16 (50.0) | 13/37 (35.1) | 0.310 |
| Greater than 2,000,000 | |||
| Community hospital | |||
| Academic Health Science Centre | |||
| Research laboratory | 2/16 (12.5) | 0/38 (0) | 0.084* |
| General pathology | |||
| Anatomical pathology | 1/16 (6.3) | 9/38 (23.7) | 0.249* |
| Hematopathology | 2/16 (12.5) | 0/38 (0) | 0.084* |
| Hematology | 1/16 (6.3) | 3/38 (7.9) | 1.000* |
| Cancer cytogenetics | 1/16 (6.3) | 0/38 (0) | 1.000* |
| Cytology | 0/16 (0) | 2/38 (5.3) | 1.000* |
| Flow cytometry | 0/16 (0) | 2/38 (5.3) | 1.000* |
| Cytogenetics | |||
| Molecular cancer genetics | 1/16 (6.3) | 0/38 (0) | 0.296* |
| Molecular genetics | |||
* Fisher exact test
Perceived importance of MOT for diagnosis, prognosis, treatment now and in 5 years
| Fairly important | Very important | Fairly important | Very Important | Fairly important | Very important | Very important | |
| Treatment now | 92/271 (33.9) | 4/17 (23.5) | 14/39 (35.9) | ||||
| Prognosis now | 127/273 (46.5) | 5/17 (29.4) | 13/39 (33.3) | ||||
| Diagnosis now | 98/272 (36.0) | 3/17 (17.6) | 13/39 (33.3) | ||||
| Treatment in 5 yrs | 79/270 (29.3) | 1/16 (6.2) | 14/39 (35.9) | ||||
| Prognosis in 5 yrs | 95/274 (34.7) | 1/16 (6.2) | 16/39 (41.0) | ||||
| Diagnosis in 5 yrs | 97/272 (35.7) | 2/16 (12.5) | 16/39 (41.0) | ||||
Perceived adequacy of access to MOT by cancer patients
| Mildly agree | Strongly agree | Mildly agree | Strongly agree | Mildly agree | Strongly agree | Mildly or strongly agree | |
| ...in my region | 76/258 (29.5) | 41/258 (15.9) | 6/17 (35.3) | 4/17 (23.5) | 10/36 (27.8) | 9/36 (25.0) | 0.423 |
| ...in Ontario | 58/253 (22.9) | 21/253 (8.3) | 3/17 (17.6) | 4/17 (23.5) | 10/37 (27.0) | 4/37 (10.8) | 0.535 |
| ... other jurisdictions in Canada | 49/254 (19.3) | 28/254 (11.0) | 5/14 (35.7) | 2/14 (24.3) | 8/36 (22.2) | 4/36 (11.1) | 0.296 |
| ... other jurisdictions in the US | 25/253 (9.9) | 11/253 (4.3) | 0/15 (0) | 1/15 (6.7) | 2/34 (5.9) | 2/34 (5.9) | 0.878* |
*Fisher exact test
Physician perception of barriers to ordering MOT
| Lack of clear guidelines re. indications for MOT | 82/261 (31.4) | 100/261 (38.3) |
| Lack of Ontario Health Insurance Plan (OHIP) coverage | 64/257 (24.9) | 74/257 (28.8) |
| Lack of knowledge about how to order MOT | 75/258 (29.1) | 60/258 (23.3) |
| Lack of accessible lab services | 77/257 (30.0) | 49/257 (19.1) |
| Lack of knowledge about how to interpret MOT results | 68/260 (26.2) | 53/260 (20.4) |
| Lack of patient demand/interest | 48/257 (18.7) | 22/257 (8.6) |
| Lack of time or personnel to order or review MOT | 43/258 (16.7) | 17/258 (6.6) |
Laboratory perception of barriers to providing MOT (for testing labs and referring labs that wished to conduct MOT on-site)
| Some impact | High impact | Some impact | High impact | High impact | |
| Lack of funding for capital equipment | 5/15 (33.3) | 2/17 (11.8) | |||
| Lack of funding for technical staff | 5/16 (31.2) | 11/16 (68.8) | 3/17 (17.6) | 13/17 (76.5) | 0.708* |
| Lack of funding for development of new tests (test work up) | 6/16 (37.5) | 10/16 (62.5) | 4/17 (23.5) | 12/17 (70.6) | 0.622 |
| Lack of funding for ongoing provision of tests | 8/16 (50.0) | 8/16 (50.0) | 3/17 (17.6) | 12/17 (70.6) | 0.226 |
| Lack of qualified technical staff | 6/16 (37.5) | 4/16 (25.0) | 2/17 (11.8) | 9/17 (56.3) | 0.101 |
| Lack of MDs and/or PhDs with appropriate expertise | 6/16 (37.5) | 3/16 (18.8) | 3/17 (17.6) | 6/17 (37.5) | 0.438* |
| Lack of clinical demand | 1/15 (6.7) | 3/17 (17.6) | |||
| Lack of appropriate test regulation and oversight | 3/15 (20.0) | 2/15 (13.3) | 1/17 (5.9) | 0/17 (0) | 0.212* |
| Existence of restrictive patents or licenses | 2/16 (12.5) | 3/16 (18.8) | 1/17 (5.9) | 1/17 (5.9) | 0.335* |
@Referring labs were told to skip the question if they did not want to provide MOT on-site
*Fisher exact test
Stated confidence in assessing indications for MOT
| Fairly | Very | Fairly | Very | Fairly | Very | Fairly | Very | Fairly | Very | |
| Whether MOT is indicated | 102/276 (37.0) | 25/276 (9.1) | 21/39 (53.8) | 3/39 (7.7) | 8/17 (47.1) | 5/17 (29.4) | 11/17 (64.7) | 1/17 (5.9) | 1/17 (5.9) | 0/17 (0) |
| Which MO tests are indicated | 75/276 (27.2) | 20/276 (7.2) | 19/39 (48.7) | 4/39 (10.3) | 9/17 (52.9) | 5/17 (29.4) | 7/17 (41.2) | 1/17 (5.9) | 0/17 (0) | 0/17 (0) |
Attitudes regarding who should play a determining role in MOT services
| Referring clinician | ||||
| Laboratory pathologist/hematologist | 99/268 (37.1) | 6/16 (37.5) | 15/37 (40.5) | 0.942 |
| Referring laboratory | 22/260 (8.5) | 1/16 (6.3) | 5/33 (15.2) | 0.363* |
| Reporting laboratory | ||||
| Referring clinician | 217/268 (81.3) | 9/16 (56.3) | 31/38 (81.6) | 0.055 |
| Laboratory pathologist/hematologist | ||||
| Referring laboratory | ||||
| Reporting laboratory | ||||
^Respondents could select more than one agent as having the 'determining role'; columns do not add to 100%
*Fisher exact test
Perceived helpfulness of formal or continuing education for MOT
| Fairly helpful | Very helpful | Fairly helpful | Very helpful | Fairly helpful | Very helpful | Fairly or very helpful | |
| Undergraduate medical education | |||||||
| Postgraduate medical education | |||||||
| Master's degree (e.g., MSc, MA) | 16/88 (18.2) | 6/88 (6.8) | 0/3 (0) | 0/3 (0) | 2/9 (22.2) | 2/9 (22.2) | 0.362* |
| Doctoral degree (e.g., PhD, DPhil) | |||||||
| Post-PhD clinical training | N/A | N/A | 2/13 (15.4) | 11/13 (84.6) | 4/7 (57.1) | 2/7 (28.6) | 0.350* |
| Discussions with colleagues | |||||||
| Conferences, workshops, meetings | |||||||
| Reading journal articles | |||||||
| Continuing medical education (CME) | |||||||
| Electronic resources (websites, listservs, etc.) | |||||||
| In-service training | N/A | N/A | 4/10 (40.0) | 2/10 (20.0) | 8/22 (36.4) | 5/22 (22.7) | 1.000* |
*Fisher exact test