Skip to main content
. 2010 Jul 21;102(14):1023–1039. doi: 10.1093/jnci/djq223

Table 2.

Tests of heterogeneity, odds ratios (ORs), and 95% confidence intervals (CIs) for potential explanatory variables of repeat mammography screening*

Study variable No. of estimates First author (reference) Q df P I  2 OR (95% CI)
All studies 27 69.5 26 <.001 62.6 1.39 (1.27 to 1.52)
Age, y
 ≥40 9 DeFrank (70), Eaker (60), Finney (23), Goel (62), Margolis (73), Partin (63), Rimer (77), Schapira (69), Simon (31) 21.9 8 .005 63.5 1.31 (1.08 to 1.59)
 ≥50 18 Andersen (61), Barr (65), Bodiya (66), Clark-1 (72), Clark-2 (72), Costanza-1 (75), Costanza-2 (75), Crane (58), Drossaert (59), Duan (64), Lipkus (32), Mayer (67), Messina (76), Michielutte (74), Quinley (71), Rakowski (68), Skinner (78), Vernon (29) 44.8 17 <.001 62.1 1.44 (1.29 to 1.60)
Study setting
 Health care 19 Barr (65), Bodiya (66), Clark-1 (72), Clark-2 (72), Costanza-1 (75), Costanza-2 (75), DeFrank (70), Finney (23), Lipkus (32), Margolis (73), Mayer (67), Messina (76), Michielutte (74), Quinley (71), Rakowski (68), Rimer (77), Schapira (69), Simon (31), Skinner (78) 59.9 17 <.001 71.6 1.40 (1.20 to 1.65)
 Community 8 Andersen (61), Crane (58), Drossaert (59), Duan (64), Eaker (60), Goel (62), Partin (63), Vernon (29) 9.3 7 .230 25.0 1.36 (1.22 to 1.50)
Screening interval
 1 year 18 Bodiya (66), Clark-1 (72), Clark-2 (72), DeFrank (70), Duan (64), Finney (23), Goel (62), Lipkus (32), Mayer (67), Michielutte (74), Partin (63), Quinley (71), Rakowski (68), Rimer (77), Schapira (69), Simon (31), Skinner (78), Vernon (29) 48.3 17 <.001 64.8 1.41 (1.27 to 1.57)
 2 years 7 Andersen (61), Barr (65), Costanza-1 (75), Costanza-2 (75), Crane (58), Drossaert (59), Messina (76) 14.6 6 .023 59.0 1.44 (1.16 to 1.78)
 Age dependent 2 Eaker (60), Margolis (73) NA NA NA NA NA
Study design
 Design 1: measured one pre- and one postintervention mammogram 20 Andersen (61), Barr (65), Bodiya (66), Clark-1 (72), Costanza-1 (75), Crane (58), DeFrank (70), Drossaert (59), Duan (64), Eaker (60), Finney (23), Goel (62), Margolis (73), Mayer (67), Michielutte (74), Partin (63), Quinley (71), Rakowski (68), Schapira (69), Simon (31) 60.9 19 <.001 68.8 1.44 (1.29 to 1.62)
 Design 2: measured two postintervention mammograms 7 Clark-2 (72), Costanza-2 (75), Lipkus (32), Messina (76), Rimer (77), Skinner (78), Vernon (29) 6.64 6 .355 9.7 1.26 (1.12 to 1.42)
Mammography data source
 Medical records, administrative, or program data 14 Barr (65), Bodiya (66), Clark-1 (72), Clark-2 (72), Drossaert (59), Finney (23), Goel (62), Mayer (67), Michielutte (74), Partin (63), Quinley (71), Rakowski (68), Simon (31), Skinner (78), 43.7 13 <.001 70.3 1.42 (1.25 to 1.62)
 Self-report 10 Andersen (61), Costanza-1 (75), Costanza-2 (75), Crane (58), Duan (64), Eaker (60), Lipkus (32), Messina (76), Rimer (77), Vernon (29) 9.8 9 .367 8.2 1.36 (1.23 to 1.52)
 Medical record or self-report 3 DeFrank (70), Margolis (73), Schapira (69) NA NA NA NA NA
Intervention strategy class 1
 Reminder 8 Barr (65), Bodiya (66), Finney (23), Goel (62), Mayer (67), Quinley (71), Schapira (69), Simon (31) 42.2 7 <.001 83.4 1.79 (1.41 to 2.29)
 Education/motivation 7 Clark-1 (72), Clark-2 (72), DeFrank (70), Drossaert (59), Eaker (60), Partin (63), Vernon (29) 2.5 6 .868 0.0 1.25 (1.14 to 1.38)
 Counseling 12 Andersen (61), Costanza-1 (75), Costanza-2 (75), Crane (58), Duan (64), Lipkus (32), Margolis (73), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Skinner (78) 18.6 11 .068 40.9 1.28 (1.15 to 1.43)
Intervention strategy class 2
 Barriers-specific telephone counseling
  Yes 9 Andersen (61), Costanza-1 (75), Costanza-2 (75), Crane (58), Lipkus (32), Messina (76), Michielutte (74), Rakowski (68), Rimer (77) 10.1 8 .261 20.5 1.35 (1.19 to 1.53)
  No 18 Barr (65), Bodiya (66), Clark-1 (72), Clark-2 (72), DeFrank (70), Drossaert (59), Duan (64), Eaker (60), Finney (23), Goel (62), Margolis (73), Mayer (67), Partin (63), Quinley (71), Schapira (69), Simon (31), Skinner (78), Vernon (29) 59.4 17 <.001 71.4 1.40 (1.25 to 1.58)
Intervention strategy class 3
 Single 14 Barr (65), Bodiya (66), Clark-1 (72), Clark-2 (72), Goel (62), Drossaert (59), Duan (64), Finney (23), Margolis (73), Mayer (67), Quinley (71), Schapira (69), Simon (31), Vernon (29) 51.6 13 <.001 74.8 1.50 (1.30 to 1.73)
 Multiple 13 Andersen (61), Costanza-1 (75), Costanza-2 (75), Crane (58), DeFrank (70), Eaker (60), Lipkus (32), Messina (76), Michielutte (74), Partin (63), Rakowski (68), Rimer (77), Skinner (78) 15.1 12 .237 20.5 1.28 (1.17 to 1.39)
Delivery mode class 1§
 Mail only 10 Clark-1 (72), Clark-2 (72), DeFrank (70), Drossaert (59), Finney (23), Mayer (67), Partin (63), Quinley (71), Simon (31), Vernon (29) 26.1 9 .002 65.5 1.34 (1.19 to 1.51)
 Telephone only 3 Barr (65), Duan (64), Lipkus (32) NA NA NA NA NA
 Mail plus telephone 10 Bodiya (66), Costanza-1 (75), Costanza-2 (75), Crane (58), Goel (62), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Skinner (78) 20.9 9 .013 56.8 1.41 (1.16 to 1.71)
 Mail plus in person 2 Margolis (73), Schapira (69) NA NA NA NA NA
 Community education plus other modes 2 Andersen (61), Eaker (60) NA NA NA NA NA
Delivery mode class 2
 Single 13 Barr (65), Clark-1 (72), Clark-2 (72), DeFrank (70), Drossaert (59), Duan (64), Finney (23), Lipkus (32), Mayer (67), Partin (63), Quinley (71), Simon (31), Vernon (29) 35.5 12 <.001 66.2 1.41 (1.26 to 1.58)
 Multiple 14 Andersen (61), Bodiya (66), Costanza-1 (75), Costanza-2 (75), Crane (58), Eaker (60), Goel (62), Margolis (73), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Schapira (69), Skinner (78) 33.8 13 <.001 61.5 1.38 (1.16 to 1.64)
Control group type
 Active 13 Barr (65), Costanza-1 (75), Costanza-2 (75), DeFrank (70), Drossaert (59), Finney (23), Goel (62), Lipkus (32), Michielutte (74), Rakowski (68), Rimer (77), Schapira (69), Simon (31) 35.0 12 <.001 65.7 1.40 (1.19 to 1.64)
 Survey only 12 Andersen (61), Clark-1 (72), Clark-2 (72), Crane (58), Duan (64), Eaker (60), Margolis (73), Mayer (67), Messina (76), Partin (63), Skinner (78), Vernon (29) 29.6 11 .002 62.8 1.36 (1.16 to 1.59)
 No contact 2 Bodiya (66), Quinley (71) NA NA NA NA NA
Use of theoretic framework
 Yes 19 Andersen (61), Barr (65), Clark-1 (72), Clark-2 (72), Costanza-1 (75), Costanza-2 (75), Crane (58), DeFrank (70), Drossaert (59), Duan (64), Finney (23), Lipkus (32), Mayer (67), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Skinner (78), Vernon (29) 47.7 18 <.001 62.2 1.36 (1.21 to 1.53)
 No 8 Bodiya (66), Eaker (60), Goel (62), Margolis (73), Partin (63), Quinley (71), Schapira (69), Simon (31) 21.8 7 .003 67.9 1.49 (1.22 to 1.81)
Theoretic construct
 Barriers
  Yes 14 Andersen (61), Barr (65), Costanza-1 (75), Costanza-2 (75), Crane (58), DeFrank (70), Duan (64), Lipkus (32), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Skinner (78), Vernon (29) 25.2 13 .022 48.3 1.35 (1.19 to 1.52)
  No 13 Bodiya (66), Clark-1 (72), Clark-2 (72), Drossaert (59), Eaker (60), Finney (23), Goel (62), Margolis (73), Mayer (67), Partin (63), Quinley (71), Schapira (69), Simon (31) 44.1 12 <.001 72.8 1.45 (1.25 to 1.68)
Stage of change
 Yes 10 Clark-1 (72), Clark-2 (72), Crane (58), Lipkus (32), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Skinner (78), Vernon (29) 9.7 9 .376 7.2 1.31 (1.18 to 1.45)
 No 17 Andersen (61), Barr (65), Bodiya (66), Costanza-1 (75), Costanza-2 (75), DeFrank (70), Drossaert (59), Duan (64), Eaker (60), Finney (23), Goel (62), Margolis (73), Mayer (67), Partin (63), Quinley (71), Schapira (69), Simon (31) 59.0 16 <.001 72.9 1.44 (1.27 to 1.64)
Use of tailoring
 Yes 14 Andersen (61), Clark-1 (72), Clark-2 (72), Costanza-1 (75), Costanza-2 (75), Crane (58), Duan (64), Lipkus (32), Messina (76), Michielutte (74), Rakowski (68), Rimer (77), Skinner (78), Vernon (29) 14.7 13 .325 11.7 1.32 (1.21 to 1.44)
 No 13 Barr (65), Bodiya (66), DeFrank (70), Drossaert (59), Eaker (60), Finney (23), Goel (62), Margolis (73), Mayer (67), Partin (63), Quinley (71), Schapira (69), Simon (31) 54.1 12 <.001 77.8 1.46 (1.26 to 1.70)
*

Odds ratios and 95% confidence intervals were computed under random-effects model assumptions for heterogeneous subgroups and under fixed-effects model assumptions for homogeneous subgroups. A statistically significant Q indicates a heterogeneous distribution of study effect sizes, which may then warrant additional subgroup analyses (30). Statistical tests were two-sided. Categories of a variable were rated NA if there were fewer than five estimates; heterogeneity tests were not performed for these categories. I2 = percentage of total variation across studies that is because of heterogeneity rather than chance (33); NA = not applicable; Q = the Cochran Q statistic.

Two of the 25 studies, Clark et al. (72) and Costanza et al. (75), provided two estimates, so the total number of estimates was 27. We designated these estimates 1 and 2.

Some studies used more than one intervention strategy, for example, reminder plus counseling. We classified those studies based on the most intensive strategy used. Intervention strategies were classified and analyzed in three different ways.

§

Delivery modes were classified and analyzed in two different ways.