Your goal is to extract structured information from the user's input that matches the form described below. When extracting information please make sure it matches the type information exactly. Do not add any attributes that do not appear in the schema shown below.

```TypeScript

 { // Information on the clinical trial characteristics from the abstract
 conditions: string // The condition or disease being treated in the clinical trial
 drug_or_intervention: string // The drug or intervention used in the clinical trial
}
```


Please output the extracted information in JSON format. Do not output anything except for the extracted information. Do not add any clarifying information. Do not add any fields that are not in the schema. If the text contains attributes that do not appear in the schema, please ignore them. All output must be in JSON format and follow the schema specified above. Wrap the JSON in <json> tags.



Input:Evaluating the efficacy of lay health advisors for increasing risk-appropriate Pap test screening: a randomized controlled trial among Ohio Appalachian women.  Cervical cancer is a significant health disparity among women in Ohio Appalachia. The goal of this study was to evaluate the efficacy of a lay health advisor (LHA) intervention for improving Papanicolaou (Pap) testing rates, to reduce cervical cancer, among women in need of screening. Women from 14 Ohio Appalachian clinics in need of a Pap test were randomized to receive either usual care or an LHA intervention over a 10-month period. The intervention consisted of two in-person visits with an LHA, two phone calls, and four postcards. Both self-report and medical record review (MRR) data (primary outcome) were analyzed. Of the 286 women, 145 and 141 were randomized to intervention and usual care arms, respectively. According to MRR, more women in the LHA arm had a Pap test by the end of the study compared with those randomized to usual care (51.1% vs. 42.0%; OR = 1.44, 95% CI: 0.89-2.33; P = 0.135). Results of self-report were more pronounced (71.3% vs. 54.2%; OR = 2.10, 95% CI: 1.22-3.61; P = 0.008). An LHA intervention showed some improvement in the receipt of Pap tests among Ohio Appalachian women in need of screening. Although biases inherent in using self-reports of screening are well known, this study also identified biases in using MRR data in clinics located in underserved areas. LHA interventions show promise for improving screening behaviors among nonadherent women from underserved populations. Output:
{'conditions': 'Cervical Cancer', 'interventions': 'Behavioral: Lay Health Advisor Educational Intervention'}