Research data on health facility-level factors that contribute to delayed diagnosis of cervical cancer|宫颈癌数据集|诊断延迟数据集

In Kenya, cervical cancer is the 2nd commonly diagnosed type of cancer and the top cause of cancer-related deaths among women. Globally, over 50% of cervical cancer diagnoses are made late, with this proportion rising to 80% in developing countries. Poor Health systems can cause delays in diagnosis, thus, this study focused on determining the health facility-level factors that contribute to delayed diagnosis among cervical cancer patients at the Kenyatta National Hospital (KNH). An analytical cross-sectional mixed method study was adopted to collect data on hospital and referral experiences from 139 cervical cancer patients systematically sampled at KNH, using a semi-structured questionnaire. Associations between the stage at diagnosis and hospital and referral experiences were tested using a logistic regression model at 95% Confidence Interval. 86 (61.9%) were diagnosed at advanced stages III and IV. The potential predictors for delayed diagnosis were; More number of hospital referral ..., Systematic sampling was used to select 139 cervical cancer patients diagnosed and receiving treatment at KNH, aged above 18, and diagnosed within the last one year since time of data collection. The study excluded patients whose medical records did not have clear staging information, those diagnosed with other cancer types, those with recurrent cervical cancer, those in palliative care, those with psychotic health issues, and those who were unwilling to participate in the study. The participants were interviewed using a semi-structured questionnaire, with questions regarding their hospital and referral experiences such as type of medical facility they visited first, number of hospitals visits they made before diagnosis, if they were referred to KNH, number of referral times, referral challenges they faced, and period taken to get diagnosis appointments and results. The key outcome of delayed diagnosis was stage at diagnosis, categorized as either; early (stages IA to IIB) or delayed (II..., , # Research data on Health Facility-Level Factors that Contribute to Delayed Diagnosis of Cervical Cancer

[https://doi.org/10.5061/dryad.dz08kps5m](https://doi.org/10.5061/dryad.dz08kps5m)

## Description of the data and file structure

The data consists of 20 variables. 

It is structured starting with socio-demographics, dependent variable, and then health facility-related variables. 

The data was coded before analysis on Stata.

The data also consists of qualitative data on the last two variables, as answered by the participants.

Early diagnosis was defined to be stages IA to IIB and decoded as 0. In contrast, the Delayed diagnosis was defined as from stage IIIA  to IVB and was coded as 1 to allow for logistic regression analysis.

 The variables were coded as follows;

```
Code Variable Condition
Age in years Required
1 <40
2 40-49
3 50-59
4 60-69
5 70 and above
Employment Status Required
1 Employed
2 Not employed
First Medical Care visit Required
1 Private
2 Public ...