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Biomedical subjects

F Alemi

Publications and source records attributed to F Alemi.

At least 19 recordsLinked to original sources
PubMed1997

Participation in teleconference support groups: application to drug-using pregnant patients.

This paper describes our experience using telephone conference calls to conduct support groups for chemically-dependent women. Forty-seven women agreed to participate in regular, weekly support groups that were conducted by two chemical dependency counselors. Counselors attempted to conduct 59 support groups via a telephone conferencing system. Our data indicated that attendance at these sessions was poor. Seventeen sessions had no participants. No group sessions were attended by 4 or more women, and only 3 sessions (7.1%) included 3 participants. Very few clients made regular use of the support groups. Only 4 clients (8.5%) participated in more than 3 group sessions. Our findings suggest that teleconferencing may not be the most effective method for providing support services to chemically-dependent women.

Female↗
PubMed1996

Computer services for patients. Description of systems and summary of findings.

This article (1) describes a number of computer services provided to patients' homes, (2) summarizes four evaluation studies reported in this supplement, and (3) suggests direction for future research. The studies reviewed in this article suggest that computer services have little impact on patients' health status but a significant impact on use of services. Some computer services (eg, reminders) increase client visits and other services (eg, voice bulletin board) reduce clinic visits. The article suggests that a paradigm for conducting research on impact of home computer services on care of patients is missing and should be developed.

Cocaine↗
PubMed1996

A randomized trial of a telecommunications network for pregnant women who use cocaine.

OBJECTIVES: The authors describe computer services designed to make patients better informed and more motivated to participate in treatment. Patients use these services through their touch-tone telephone; access to a home computer or a modem is not needed. METHODS: The authors tested the impact of these computer services on the management of 179 pregnant women who had used cocaine during pregnancy or 1 month before pregnancy (as reported by the woman). Patients were randomly assigned to control and experimental groups; only the experimental group had access to the computer services. Patients were enrolled during the prenatal period and followed for 6 months after the birth of a live child. Self-reported data on the subjects' participation in drug treatment programs, health status (using the SF-36), and addiction severity (using the addiction severity index) were collected. The computer collected data on the frequency of the use of the service. The dependent variables were participation in formal treatment during the course of the project, and drug and alcohol use at exit interview. Multiple and logistic regressions were used to identify the effects of the intervention after controlling for demographic and baseline variables. RESULTS: Data showed that poor, pregnant, undereducated clients who use drugs and lived in multiple residences could use the services; about one-third of clients used the services more than three times a week. Access to the service did not lead to significant change in patients' health status, drug use, or utilization of services. Use of the services did lead to significant changes in participation in drug treatment: subjects who used the service more than three times a week were 1.5 times more likely to participate in formal drug treatment than subjects who used the service less often. Participation in formal drug treatment, however, was not effective in reducing the drug or the alcohol use. CONCLUSIONS: Almost all patients used the computer services to some extent, but there seems to be a threshold after which the use of the services had a more positive impact.

Adolescent↗
PubMed1996

Educating patients at home. Community Health Rap.

OBJECTIVES: The authors analyzed the impact of home health education by studying the impact of a computer service called Community Health Rap. When patients call this service, the computer records their questions and alerts an expert who records a response. Subsequently, the computer alerts the patient that the question has been addressed. METHODS: Subjects included a group of 82 pregnant women who had used cocaine during or 1 month before pregnancy (as reported by the woman) and a group of residents of zip code areas with the lowest income in Cleveland. From the drug-using pregnant women, we collected data regarding satisfaction with Community Health Rap, usage of Community Health Rap per month, self-reported health status (using the General Health Survey), and the extent of drug use (using the Addiction Severity Index). Trained coders also classified the nature of questions posed to the Community Health Rap by either the pregnant women who abuse drugs or the members of target households. Among the pregnant women who abuse drugs, we compared the differences between those who used the service and those who did not. To control for baseline differences between the two groups, analysis of co-variance was used with exit values as the dependent variables, the baseline values as the co-variates, and participation in the Community Health Rap as the independent variable. RESULTS: Almost half (45%) of poor, undereducated subjects who lived in inner urban areas used the computer service. Content analysis of Community Health Rap messages revealed that subjects had many questions that were of a social nature (regarding sex, relationships, etc), in addition to medical questions. Analysis showed that poor health status, more frequent drug use, lower education, and age did not affect regular use of Community Health Rap service. No health outcomes or utilization of treatment were associated with regular use of Community Health Rap. One exception, however, was that regular users of Community Health Rap reported slower improvement of their pain than those who did not use Community Health Rap. CONCLUSIONS: These data suggest that expansion of information services to households will not leave the poor and the undereducated population groups "behind." They will use computer services, though such services may not have an impact on their health status or cost of care.

Adult↗
PubMed1996

Electronic self-help and support groups.

OBJECTIVES: The authors examined the impact of a voice bulletin board on the following: (1) participation in self-help efforts, (2) expression of emotional support, (3) development of solidarity within the group, (4) utilization of health-care services, and (5) health status of subjects. METHODS: Subjects were 53 pregnant women who abused drugs. A quasi-experimental design with matched control group and observations before and after intervention were carried out. Clients in the control group were asked to participate in biweekly face-to-face meetings. Clients in the experimental group participated in the voice bulletin board. Experimental subjects had previous experience with computer services. Subjects reported their level of drug use, health status, and utilization of health services. They also reported on their symptoms, attitudes toward use of physician services, loneliness, willingness to disclose information in groups, and sense of solidarity with their group. The content of the communication among the experimental group was recorded and the utterances were classified as to the type of communication. Exit interviews were done 4 months after baseline interviews were conducted. Clients were paid to complete the baseline and the exit questionnaires, and 94% completed the exit questionnaires. The dependent variables were utilization or health status at exit; the co-variate was utilization or health status at baseline; and the independent variable was the group in which the subject participated. RESULTS: Clients were eight times more likely to participate in the voice bulletin board than in the face-to-face meeting (alpha < 0.01). The majority of the comments left on the bulletin board (54.6%) were for emotional support of each other; no "flaming" or overt disagreements occurred. The more clients participated in the voice bulletin board, the more they felt a sense of solidarity with each other (alpha < 0.001). Members of the experimental group reported significantly lower rates of visiting outpatient clinics than members of the control group (alpha < 0.05). Lower utilization did not lead to poor health status or more drug use: There were no statistically significant differences in the health status and drug use between the experimental and the control groups. CONCLUSIONS: Voice bulletin boards may be an effective method of providing support to mothers who have a history of drug use. Use of these services may lead to lower cost without worsening patients' health.

Adult↗
PubMed1996

Computer reminders improve on-time immunization rates.

OBJECTIVES: This study examines the effectiveness of computer-generated telephone reminders in improving infants receiving on-time immunizations. A computer called parents at home, reminded them of their child's visit, and asked if they could keep the appointment. If parents either canceled or failed to honor the appointment, the computer called back a few days later and asked them to reschedule. METHODS: A medical assistant recruited 124 consecutive mothers to receive automated computer reminders. These mothers' infants were younger than 6 months, were being seen at an outpatient clinic for a first visit, and were patients of three attending physicians and three nurse practitioners. These infants were compared to 89 infants from the same clinic, in the same age range, who were being seen for the first time during the same period by the same providers but not contacted by the medical assistant. Subjects were selected from mothers who brought their infants for their first visit in an outpatient urban clinic that serves predominantly minority clients. A research assistant reviewed patients' medical records and collected the infants' birthday, mothers' age, race, source of payments, and the immunization record of the infants. Immunization was considered to be late if, at the time of the first visit, it was more than 30 days past due for any of the recommended immunizations of the American Academy of Pediatrics, except for Hepatitis B vaccine which was not recommended at the time of the study. The dependent variable was on-time immunization. The independent variables were age of the mother at baseline, age of the child at baseline, and membership in either the comparison or the experimental group. Chi-square tests and logistic regression were used to analyze the data. RESULTS: The participation rate for appointments for the experimental group was 82%, as compared to a 69% overall participation rate for the clinic providers. The on-time immunization rate for experimental subjects was 67.8%, whereas the comparison group had an on-time immunization rate of 43.4% (differences were significant at alpha levels less than 0.01). CONCLUSIONS: Computerized reminders sent to the parents led to an increase in participation rate at the clinic and an increase in on-time immunization for their infants.

Adult↗
PubMed1996

A comparison of three techniques for rapid model development: an application in patient risk-stratification.

Accurately risk-stratifying patients is a key component of health care outcomes assessment. And, many health care organizations increasingly are relying upon automated means for assistance in making patient risk-stratification decisions. Unfortunately, the process of outcome model development, as it is currently practiced, is both time consuming and difficult. We investigated the relative abilities of three modeling techniques (logistic regression, artificial neural network (ANN), and Bayesian) to rapidly develop models for risk-stratifying patients. Our results demonstrated that all three modeling techniques perform equally well in certain situations. However, the Bayesian model with conditional independence had the best overall performance. Unfortunately, none of the models were able to achieve the degree of accuracy which would be required in a medical setting.

APACHE↗
PubMed1995

Reaction to "talking" computers assessing health risks.

The authors examined reactions to AVIVA-a talking computer that assesses health risk, gives priorities for risk reduction, discusses risk reduction methods, and refers callers to additional information. Subjects' reactions to AVIVA were compared to receiving health information from magazines, television, or health professional. Data were collected from 96 randomly chosen employees of Cleveland State University. Employees were invited to participate based on a stratified sample that encouraged enrollment of men and women and enrollment of faculty, professional and nonprofessional staff. The majority (71%) of subjects with access to AVIVA used it. Those who did not use AVIVA gave various reasons; less than 4% did not participate in AVIVA because they objected to a computer giving advice regarding health risks. Subjects rated AVIVA as more accurate, easier to understand, more convenient, more affordable, easier to use, and more accessible than health education received from television, magazines, or health professionals. None of the at-risk subjects sought additional information from a library of videotapes available to them. Furthermore, there was no statistically significant difference between the control and the experimental groups in the intent to reduce risk factors. Therefore, despite use and satisfaction with AVIVA, the authors concluded that there was no impact on subjects' behavior or intent to change behavior.

Adult↗
PubMed1995

A review of factors affecting treatment outcomes: Expected Treatment Outcome Scale.

The Expected Treatment Outcome Scales was developed to gather information on clients who abuse drugs or alcohol, to assess their severity of illness, and to evaluate the effectiveness of drug treatment in nonrandomized clinical studies. The scale is based upon a multiattribute value model reflecting the opinions of an expert panel. The experts identified 25 variables, or predictors of relapse, from which 48 questions were constructed. Answers to the questions are individually scored. These scores are summed to produce an overall Expected Treatment Outcome score. This paper focuses on the development and preliminary validation of the Expected Treatment Outcome Scale. Results of our analysis show a correlation of .89 between the experts' average ratings of hypothetical clients and scores based on our scale. This finding suggests that the Expected Treatment Outcome Scale has face validity and accurately simulates the experts' judgments regarding treatment outcome. Further research is necessary to assess the reliability as well as the concurrent and predictive validity of our instrument.

Adult↗
PubMed1993

An evaluation of factors influencing Bayesian learning systems.

This paper examines the influences of situational and model factors upon the accuracy of Bayesian learning systems. In particular, it is concerned with the impact of variations in training sample size, number of attributes, choice of Bayesian model, and criteria for excluding model attributes upon the overall accuracy of the simple and proper Bayes models.

Artificial Intelligence↗
PubMed1990

Predicting in-hospital survival of myocardial infarction. A comparative study of various severity measures.

This study reports on the ability of several indices to predict in-hospital survival from acute myocardial infarction. The following indices were included: Acute Physiological and Chronic Health Evaluation (APACHE II), Medisgroups (MDGRP), Computerized Severity Index (CSI), Patient Management Categories (PMC), Coded Disease Staging (CDS), Ischemic Heart Disease Index (IHDI), and Predictive Index for Myocardial Infarction (PIMI). An arbitrary strategy of predicting that all patients will live was also applied and correctly classified 78% of the cases. Severity indices improve these predictions by up to 6% more. Comparison of relative accuracy of the indices showed that all indices were more accurate than PIMI and, for medically treated patients, CSI was more accurate than MDGRP, CDS, APACHE II, and IHDI. There were no other statistically significant difference in the predictive ability of remaining indices. Indices based on discharge abstracts were as accurate as some of the indices based on physiologic variables, in particular PMC was as accurate as CSI, MDGRP, APACHE, and IHDI, and CDS was as accurate as MDGRP, APACHE, and IHDI. This study was limited in scope and application and should not be generalized to other settings until additional data confirm the findings. We discuss the implications of these findings for measuring quality of care and suggest improvements for design of future severity indices.

Adult↗
PubMed1989

A computer aid for choosing HMOs: design of a new interface.

This paper reports on a new interface design. The presentation is similar to a newspaper style, allowing a familiar format and advertisement. In addition, the design includes steps to ease data collection, features to help users influence others in the organization, and a dynamic allocation of menu lists that reflect user's knowledge and previous interest.

Decision Making, Computer-Assisted↗
PubMed1989

Rehearsing decisions may help teenagers: an evaluation of a simulation game.

This paper presents a new approach to preventing adolescent pregnancy. Information alone is not sufficient to prevent teenage pregnancy. The teenagers ability to choose and remain committed to a decision also needs to be developed. Because decision making skills are best learned through practice in an environment with frequent feedback, we have developed a computer game which simulates the consequences of different sexual roles. In addition, the game is intended to increase communication about sex between teenagers and their role models (peers, teachers and/or parents). Increased communication is expected to reduce the feeling of guilt and lead to either consistent abstention from sex or consistent contraceptive use. The paper reports on the development of the computer game and the preliminary evaluation of its impact.

Adolescent↗