A Mathematical Model for Determining Effectiveness of Family Planning Clinics
Bibliographic Data
| ID | 10797259 |
|---|---|
| Authors | Donald W Maccorquodale, Thomas W Pullum (0000-0002-8859-8144) |
| Year | 1974 |
| Volume | 5 |
| Issue | 7 |
| Pages | 232 |
| Publication date | 1974-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Studies in Family Planning (JOURNAL) |
| Journal identifiers | ISSN: 0039-3665 • E-ISSN: 1728-4465 |
| Publisher | JSTOR (PUBLISHER) |
| DOI | 10.2307/1964787 |
| PMID | 4837490 |
| OpenAlex | W2015609658 |
| Language | EN |
| Citations received | 4 |
| References cited | 2 |
This paper uses a mathematical model to determine the differential success of some family planning clinics operated by a private organization in Colombia. Success is measured in terms of new recruits. Profamilia a private family planning organization was founded in Bogota Colombia in 1966. An examination of 22 clinics operated by Profamilia reveals that there are 2 current trends: 1) clinics in which the number of new acceptors recruited monthly tends to assume a flat curve when plotted against time; and 2) clinics where the number of new acceptors increases relatively consistently for a period of about 14 months and the declines. In this paper certain models for the diffusion of innovations are applied to the Colombian clinic data. The authors are against using growth models but favor diffusion models. The distinctive feature of diffusion is that the acceptors are drawn from a subpopulation of nonacceptors. Results of the applications of the model suggest that interaction has a more marked effect on adoption rates than mass media does. This agreed with the finding that most respondents state having heard about Profamilia through friends and relatives. Literacy was positively related to adoption patterns and other socioeconomic conditions did not seem to be
Developing country · Economic growth · Economics · Environmental health · Family medicine · Family planning · Population · Research methodology · Computer Science · Digital Platforms and Economics · ICT Impact and Policies · Medicine · Technology Adoption and User Behaviour
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,09 |
| Citation span | 1980 - 2006 (27) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |