Clinic attendance in the hypertension detection and follow-up program.
- 1 September 1982
- journal article
- research article
- Published by Wolters Kluwer Health in Hypertension
- Vol. 4 (5), 710-715
- https://doi.org/10.1161/01.hyp.4.5.710
Abstract
Factors related to individuals becoming inactive with respect to clinic visit attendance as well as factors related to returning to the active state after becoming inactive in the Hypertension Detection and Follow-Up Program (HDFP) were investigated using survival analysis methods and a 2-state regression model specificially designed for this application. Patients were significantly more likely to move from active clinic attendance to inactive if they were younger, had lesser educational attainment, were unemployed, were cigarette smokers or had lower baseline diastolic blood pressures. The tendency for an inactive clinic attender to return to active attendance was greater if the patient was younger, black or had higher baseline diastolic blood pressure. Differences between centers regarding clinic attendance were also significant.This publication has 9 references indexed in Scilit:
- Application of survival analysis techniques to evaluation of factors affecting compliance in a clinical trial of hypertension controlControlled Clinical Trials, 1980
- A two-compartment regression model applied to compliance in a hypertension treatment programJournal of Chronic Diseases, 1980
- Five-Year Findings of the Hypertension Detection and Follow-up ProgramJAMA, 1979
- Five-Year Findings of the Hypertension Detection and Follow-up ProgramPublished by American Medical Association (AMA) ,1979
- Patient Participation in a Hypertension Control ProgramPublished by American Medical Association (AMA) ,1978
- Blood Pressure Studies in 14 CommunitiesPublished by American Medical Association (AMA) ,1977
- The hypertension detection and follow-up programPreventive Medicine, 1976
- XXX. Biostatistical problems in ‘compliance bias’Clinical Pharmacology & Therapeutics, 1974
- Estimation of the probability of an event as a function of several independent variablesBiometrika, 1967