| Literature DB >> 36123109 |
Kristian Foldager Løkke1, Vibeke Rasch1,2, Julius Mwaiselage3, Tine Gammeltoft4, Ditte Søndergaard Linde5,2.
Abstract
OBJECTIVES: To investigate the acceptability of a text message intervention and evaluate if text messages could increase knowledge of cervical cancer and screening.Entities:
Keywords: gynaecological oncology; health informatics; international health services; public health
Mesh:
Year: 2022 PMID: 36123109 PMCID: PMC9486230 DOI: 10.1136/bmjopen-2021-058450
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Figure 1Flow chart of the mixed method study. HPV, human papillomavirus.
Baseline characteristics of participants
| Characteristics | Questionnaire data (n=115) n (%) | Qualitative data (n=15) n (%) |
| Age | ||
| Mean | 39.4 | 38.6 |
| Max. | 60 | 27 |
| Min. | 25 | 55 |
| Region | ||
| Dar es Salaam | 61 (53.0) | 15 (100) |
| Kilimanjaro | 54 (47.0) | – |
| Education | ||
| Primary education | 73 (63.5) | 10 (66) |
| Secondary education | 32 (27.8) | 4 (27) |
| University/college | 10 (8.7) | 1 (7) |
| Religion | ||
| Christian | 75 (65.1) | 5 (33) |
| Muslim | 39 (33.9) | 9 (60) |
| Missing | 1 (1.0) | 1 (7) |
| Marital status | ||
| Married/cohabiting | 66 (57.4) | 12 (80) |
| Single | 22 (19.0) | 1 (7) |
| Divorced/widow | 26 (22.6) | 2 (13) |
| Missing | 1 (1.0) | – |
| Previously screened for cervical cancer | ||
| Yes | 37 (32.2) | 3 (20) |
| No | 78 (67.8) | 12 (80) |
| HIV | ||
| Positive | 47 (41.0) | 5 (33) |
| Negative | 68 (59.1) | 10 (66) |
Comparison of acceptability Likert scores between baseline and follow-up
| Baseline | I do not like it at all | I do not like it | It is not okay | It is okay | I like it | I like it very much | Total |
| Follow-up | |||||||
| I do not like it at all | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| I do not like it | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| It is not okay | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| It is okay | 0 | 0 | 0 | 1 | 15 | 10 | 26 |
| I like it | 0 | 1 | 2 | 5 | 17 | 15 | 40 |
| I like it very much | 0 | 0 | 2 | 3 | 11 | 30 | 46 |
|
| 0 | 1 | 4 | 9 | 43 | 58 | 115 |
Change in acceptability score between baseline and follow-up
| Primary analysis | Mean (95% CI) | P value | t-Statistic |
| Change in acceptability between baseline and follow-up | 0.22 (0.00 to 0.44) | 0.05 | 1.96 |
| Secondary analyses: change in acceptability according to sociodemographic characteristics | Mean (95% CI) | P value | t-Statistic |
| Age | |||
| 25–34 | 0.32 (−0.16 to 0.80) | 0.18 | 1.36 |
| 35–44 | 0.14 (−0.16 to 0.43) | 0.35 | 0.94 |
| 45–54 | 0.22 (−0.06 to 0.86) | 0.08 | 1.79 |
| <60 | −0.4 (−2.28 to 1.48) | 0.59 | −0.59 |
| Region | |||
| Dar es Salaam | 0.26 (0.01 to 0.52) | 0.04 | 2.05 |
| Kilimanjaro | 0.17 (−0.21 to 0.54) | 0.38 | 0.89 |
| Education | |||
| Primary education | 0.33 (0.06 to 0.60) | 0.01 | 2.5 |
| Secondary education | 0.03 (−0.44 to 0.50) | 0.89 | 0.14 |
| University/college | 0 (−0.95 to 0.95) | 1 | 0 |
| Religion | |||
| Christian | 0.13 (−0.15 to 0.42) | 0.36 | 0.92 |
| Muslim | 0.38 (0.03 to 0.73) | 0.03 | 2.2 |
| Marital status | |||
| Married/cohabiting | 0.29 (−0.01 to 0.59) | 0.06 | 1.91 |
| Single | 0.55 (0.06 to 1.03) | 0.03 | 2.32 |
| Divorced/widow | −0.19 (−0.64 to 0.25) | 0.38 | −0.89 |
| Previously been screened | |||
| Yes | 0.14 (−0.34 to 0.61) | 0.57 | 0.58 |
| No | 0.26 (0.01 to 0.50) | 0.04 | 2.11 |
| HIV status | |||
| Positive | 0.17 (−0.16 to 0.50) | 0.31 | 1.03 |
| Negative | 0.25 (−0.05 to 0.55) | 0.1 | 1.66 |
Change in knowledge between baseline and follow-up
| Baseline | Follow-up | χ2 | P value | Direction of change* | |||
| Correct | Incorrect | Correct | Incorrect | ||||
| Malaria (mosquito) causes cervical cancer ( | 101 (87.8) | 14 (12.2) | 109 (94.8) | 6 (5.2) | 3.56 | 0.06 |
|
| Pain during urination can be a sign of cervical cancer ( | 72 (62.6) | 43 (37.4) | 39 (33.9) | 76 (66.1) | 16.3 | <0.001 |
|
| Q3: Cervical cancer is the most common cancer disease among Tanzanian women ( | 106 (92.2) | 9 (7.8) | 104 (90.4) | 11 (9.6) | 0.2 | 0.64 |
|
| Q4: You can get cervical cancer from deep kissing ( | 101 (87.8) | 14 (12.2) | 52 (45.2) | 63 (54.8) | 38.1 | <0.001 |
|
| Q5: It is possible to prevent cervical cancer ( | 64 (55.6) | 51 (44.3) | 95 (82.6) | 20 (17.4) | 19.6 | <0.001 |
|
| Q6: Vaginal bleeding is the most common sign of cervical cancer ( | 68 (59.1) | 47 (40.9) | 69 (60.0) | 46 (40.0) | 0.0 | 0.89 |
|
| Q7: Too much sun can lead to cervical cancer ( | 91 (79.1) | 24 (20.9) | 54 (47.0) | 61 (53.0) | 22.4 | <0.001 |
|
| Q8: A cervical infection can lead to cervical cancer ( | 83 (72.2) | 32 (27.8) | 105 (91.3) | 10 (8.7) | 12.7 | <0.001 |
|
| Q9: HIV-positive women have higher risk of developing cervical cancer ( | 93 (80.9) | 22 (19.1) | 97 (84.4) | 18 (15.6) | 0.5 | 0.47 |
|
| Q10: Cervical cancer is often found at an early stage due to obvious symptoms ( | 32 (27.8) | 83 (72.2) | 12 (10.4) | 103 (89.6) | 9.1 | 0.00 |
|
| Q12: Screening can detect cervical infections, so they do not develop into cancer ( | 105 (91.3) | 10 (8.7) | 105 (9.3) | 10 (8.7) | 0.0 | 1.00 |
|
| Q13: Cervical cancer is the main cause of cancer-related death among Tanzanian women ( | 107 (93.0) | 8 (7.0) | 105 (91.3) | 10 (8.7) | 0.3 | 0.62 |
|
| Q14: Cervical cancer is most common for women in the 20’s ( | 36 (31.3) | 79 (68.7) | 14 (12.2) | 101 (87.8) | 11.0 | <0.001 |
|
| Q15: Itchiness in the vaginal area can be a sign of cervical cancer ( | 66 (57.4) | 49 (42.6) | 29 (25.2) | 86 (74.8) | 21.7 | <0.001 |
|
| Q16: A virus called ‘human papillomavirus’ (HPV) causes cervical cancer. | 65 (56.5) | 50 (43.5) | 98 (85.2) | 17 (14.8) | 23.2 | <0.001 |
|
*Green=significantly more women answered item correct; yellow=no difference; red=significantly more women answered item incorrect.