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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Gynecol Oncol. 2017 Jun 10;146(3):546–553. doi: 10.1016/j.ygyno.2017.06.003

Table 2.

A evaluation of the programmatic correlates leading to cervical cancer diagnoses. Abbreviations: SCC, squamous cell carcinoma, ADC, adenocarcinoma

Programmatic Correlates of Cervical Cancer Diagnoses All
n=623
SCC
n=351
ADC
n=212
Other Cancers
n=19
Unknown
n=41
p*
n % col % col′ n % col % col′ n % col % col′ n % col % col′ n % col % col′
Prevalent Cancers 360 57.8% --- 227 64.7% --- 101 47.6% --- 6 31.6% --- 26 63.4% --- <0.001

Non-Prevalent Cancers 263 42.2% 100% 124 35.3% 100% 111 52.4% 100% 13 68.4% 100% 15 36.6% 100% <0.001

 False-Negative Cotest (Screen) 70 11.2% 26.6% 36 10.3% 29.0% 25 11.8% 22.5% 7 36.8% 53.8% 2 4.9% 13.3% 0.07
 Algorithm Delays 48 7.7% 18.3% 15 4.3% 12.1% 29 13.7% 26.1% 2 10.5% 15.4% 2 4.9% 13.3% 0.04
 False-Negative Diagnoses (Colposcopy and Biopsy) 56 9.0% 21.3% 20 5.7% 16.1% 28 13.2% 25.2% 3 15.8% 23.1% 5 12.2% 33.3% 0.2
 Treatment Failure 27 4.3% 10.3% 23 6.6% 18.5% 3 1.4% 2.7% 0 0.0% 0.0% 1 2.4% 6.7% <0.001
 Non-Compliance with Guidelines (All) 56 9.0% 21.3% 29 8.3% 23.4% 21 9.9% 18.9% 1 5.3% 7.7% 5 12.2% 33.3% 0.9
  Non-Complaince with Screening 9 1.4% 3.4% 4 1.1% 3.2% 4 1.9% 3.6% 1 5.3% 7.7% 0 0.0% 0.0% 0.6
  Non-Compliance with Follow-Up 45 7.2% 17.1% 23 6.6% 18.5% 17 8.0% 15.3% 0 0.0% 0.0% 5 12.2% 33.3% 0.1
  Non-Compliance with Screening and Follow-Up 2 0.3% 0.8% 2 0.6% 1.6% 0 0.0% 0.0% 0 0.0% 0.0% 0 0.0% 0.0% 0.6
 Mixed** 6 1.0% 2.3% 1 0.3% 0.8% 5 2.4% 4.5% 0 0.0% 0.0% 0 0.0% 0.0% 0.3
**

Several possible explanations

‘column percentage among non-prevalent cancers

*

Fisher’s exact test for differences for a correlate by histology category among non-prevalent cancers

The histology of microinvasive cancers was not available

Includes failure to come back for follow-up testing, colposcopy, treatment, or post-treatment surveillance according to recommendations