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Biomedical subjects

E M A Smets

Publications and source records attributed to E M A Smets.

6 recordsLinked to original sources

Is personality a determinant of patient satisfaction with hospital care?

OBJECTIVE: We investigated to what extent personality is associated with patient satisfaction with hospital care. A sizeable association with personality would render patient satisfaction invalid as an indicator of hospital care quality. DESIGN: Overall satisfaction and satisfaction with aspects of care were regressed on the Big Five dimensions of personality, controlled for patient characteristics as possible explanatory variables of observed associations. PARTICIPANTS: A total of 237 recently discharged inpatients aged 18-84 years (M = 50, SD = 17 years), 57% female, who were hospitalized for an average of 8 days. INSTRUMENTS: The Satisfaction with Hospital Care Questionnaire addressing 12 aspects of care ranging from admission procedures to discharge and aftercare and the Five-Factor Personality Inventory assessing a person's standing on Extraversion, Agreeableness, Conscientiousness, Emotional stability, and Autonomy. RESULTS: Agreeableness significantly predicted patient satisfaction in about half of the scales. After controlling for shared variance with age and educational level, the unique contribution of Agreeableness shrank to a maximum of 3-5% explained variance. When one outlier was dropped from the analysis, the contribution of Agreeableness was no longer statistically significant. CONCLUSION: Patient satisfaction seems only marginally associated with personality, at least at the level of the broad Big Five dimensions.

Academic Medical Centers↗

Cognitive changes in cardiovascular patients following a tailored behavioral smoking cessation intervention.

BACKGROUND: Action aimed at changing smoking behavior to prevent cardiovascular patients from further impairing their health is advisable. Cognitive behavioral interventions can be effective in this regard since they attempt to influence cognitive determinants that presumably lead to smoking cessation. The Minimal Intervention Strategy for Cardiology patients (C-MIS) is such an intervention, tailored to the patients' readiness to change. Our aim is to investigate whether the C-MIS is successful in changing patients' cognitions such as attitudes, social influence, self-efficacy and intention to quit during a 1-year period. METHODS: Smoking outpatients (N = 315) with cardiovascular disease were included. They were randomized and received either Nicotine Replacement Therapy (NRT) or NRT + C-MIS. At baseline (T1), sociodemographic and clinical characteristics were measured. Cognitions and quitting behavior were assessed at baseline and at four follow-up measurements. RESULTS: Comparing treatments, the C-MIS did not affect pros of quitting, pros of smoking and social influence. We did find small effects of the C-MIS on intention to quit and self-efficacy, although only for higher-educated patients. CONCLUSION: The C-MIS appears successful in affecting intention to quit and self-efficacy abilities, but only for patients with higher education levels. Initial positive changes in cognitions may also emerge in a medical intervention, such as the provision of NRT.

Adult↗

Do patients' preferences predict smoking cessation?

BACKGROUND: Social cognitive theories (e.g., ASE-model) propose that smoking cessation can be accomplished by changing underlying cognitive determinants such as attitudes, social influence, and self-efficacy. Others have argued that people's preferences for a health state can also predict behavior. In this study, preferences constitute the degree to which one is willing to give up a valuable good, that is survival, to obtain a desirable behavior (e.g., to quit smoking). The aim of this study is to investigate the impact of cognitive determinants and patients' preferences on the prediction of smoking cessation. METHODS: Data were collected as part of a randomized clinical trial. Smoking outpatients (N = 217) with cardiovascular disease were included. At baseline (T0), socio-demographic and clinical characteristics were measured. Social cognitions (pros of quitting, pros of smoking, social influence, and self-efficacy) and preferences (using a paper time trade-off measure (TTO)) were assessed at T1 (1 week). Smoking cessation was assessed at T2 (8 weeks). RESULTS: Logistic regression analysis showed that socio-demographic (P = .92) and clinical (P = .26) factors did not predict smoking cessation, whereas social cognitions (P = .02) and preferences did (P = .00). On average, quitters are willing to give up an appreciable amount of survival years in order to quit smoking. CONCLUSION: Preference for quitting was the strongest single predictor of smoking cessation.

Attitude to Health↗

Genetic counseling for familial conditions during pregnancy: an analysis of patient characteristics.

Reproductive genetic counseling for a familial genetic risk factor preferably takes place before conception. However, of the women with a family history of genetic conditions who attend our department of clinical genetics, about 10-20% attend for the first time during a pregnancy. The current study aims to explore patient-related factors that may affect this late timing of reproductive genetic counseling. Consecutive pregnant (n = 100) and non-pregnant (n = 84) women visiting the department of clinical genetics for a genetic risk factor which was not age related completed a questionnaire immediately prior to the consultation. The questionnaire asked for (a) background characteristics, i.e. socio-demographic, obstetric, and disease characteristics (b) cognitive factors, i.e. initiative of referral, knowledge of the risk factor involved, risk perception, worry, child wish, attitudes toward abortion, and preferred participation in decision making, and (c) reasons for the timing of the consultation and for seeking genetic counseling. Pregnant women appeared to be higher educated, considered their children more often as healthy and were less often affected themselves, as compared to non-pregnant women. They also estimated their chance of having an affected child as lower, and they worried less. Furthermore, the initiative for referral was taken less often by the pregnant woman herself and more often by a medical worker. There were no major differences between the two study groups in knowledge, perceived severity of the risk factor, child wish, attitudes toward abortion, desired participation in decision making, and reasons to seek genetic counseling. Women indicated no specific reasons for their timing of referral for reproductive genetic counseling, e.g. during vs before pregnancy. Our data suggest that this timing of referral is not influenced predominantly by the women's level of knowledge. Rather, women's estimation of genetic risks and their degree of worry, which may be in accordance with the actual risk figures, seem to play a role in seeking genetic counseling. Although further studies are required, a more active role of health care providers seems warranted if we want to prevent genetic counseling for familial genetic conditions during pregnancy as much as possible.

Attitude to Health↗

Smoking cessation interventions in cardiovascular patients.

OBJECTIVES: To review current evidence for the effectiveness of smoking cessation interventions in cardiovascular patient populations. DESIGN AND MATERIALS: Studies were obtained from systematic reviews of the Cochrane Tobacco Addiction Review Group. Twelve Cochrane reviews related to secondary prevention in a variety of populations were used to extract eligible studies. Studies were eligible when they considered smokers diagnosed with symptomatic cardiovascular disease. METHODS: Data concerning the comparison between the intervention of interest and a placebo or standard treatment group were derived from eligible papers. Based on these data, Absolute Risk Reduction figures were calculated to express the effectiveness of each intervention on smoking cessation. RESULTS: We found 12 studies examining smoking cessation interventions in cardiovascular patients. Five studies reported significant results. No evidence was found for Nicotine Replacement Therapy or other pharmacology to be effective, neither for self-help materials, group, individual or telephone counseling. There is limited evidence for physician's advice and nurse-delivered interventions to be effective. CONCLUSIONS: Smoking cessation studies in cardiovascular patients are scarce. The available studies show very limited effects. The reasons for the lack of success of smoking cessation strategies in these patients remain unclear. Further research is needed to find effective cessation strategies for patients with cardiovascular diseases.

Behavior Therapy↗

Reliability and validity of the Satisfaction with Hospital Care Questionnaire.

OBJECTIVE: To establish the psychometric properties of the Satisfaction with Hospital Care Questionnaire (SHCQ) for measuring patient satisfaction and evaluations of hospital care quality. DESIGN AND PARTICIPANTS: Patients (n = 275) and staff members (n = 83) of four hospital wards completed the 57-item SHCQ addressing 13 aspects of care. Staff members completed the SHCQ from the patient's perspective. The data were analyzed within the framework of generalizability theory. MAIN OUTCOME MEASURES: Generalizability coefficients (GCs) and standard errors of measurement (SEs). RESULTS: GCs indicating differentiation among patients with different overall levels of satisfaction (SHCQ mean scores) were high (> 0.90). GCs indicating differentiation among patients as to satisfaction with aspects of care (SHCQ scale scores) were generally satisfactory (> 0.75) to high. Patients agreed well on overall level of hospital care quality (GCs > 0.90) and differentiated reliably (GCs > 0.80) among aspects of care. No differentiation among wards was found with respect to quality of care. Patients and staff agreed to a considerable extent (0.78) on ranking the SHCQ items on care quality, but staff ratings were lower. Reliability and validity of patients' evaluations of quality of hospital care varied according to aspect of care. CONCLUSIONS: The SHCQ reliably establishes both patient satisfaction and overall quality of hospital care. Whereas patients' ratings may be too lenient, their ranking of the items on care quality appears to be valid, and is therefore suitable for monitoring and improving hospital care. Within scales, however, results should be interpreted more cautiously: for some items, patients cannot really tell the difference in quality of care.

Academic Medical Centers↗