Ciska Hoving

A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication

Background There is currently a lack of information about the uses, benefits, and limitations of social media for health communication among the general public, patients, and health professionals from primary research. Objective To review the current published literature to identify the uses, benefits, and limitations of social media for health communication among the general public, patients, and health professionals, and identify current gaps in the literature to provide recommendations for future health communication research. Methods This paper is a review using a systematic approach. A systematic search of the literature was conducted using nine electronic databases and manual searches to locate peer-reviewed studies published between January 2002 and February 2012. Results The search identified 98 original research studies that included the uses, benefits, and/or limitations of social media for health communication among the general public, patients, and health professionals. The methodological quality of the studies assessed using the Downs and Black instrument was low; this was mainly due to the fact that the vast majority of the studies in this review included limited methodologies and was mainly exploratory and descriptive in nature. Seven main uses of social media for health communication were identified, including focusing on increasing interactions with others, and facilitating, sharing, and obtaining health messages. The six key overarching benefits were identified as (1) increased interactions with others, (2) more available, shared, and tailored information, (3) increased accessibility and widening access to health information, (4) peer/social/emotional support, (5) public health surveillance, and (6) potential to influence health policy. Twelve limitations were identified, primarily consisting of quality concerns and lack of reliability, confidentiality, and privacy. Conclusions Social media brings a new dimension to health care as it offers a medium to be used by the public, patients, and health professionals to communicate about health issues with the possibility of potentially improving health outcomes. Social media is a powerful tool, which offers collaboration between users and is a social interaction mechanism for a range of individuals. Although there are several benefits to the use of social media for health communication, the information exchanged needs to be monitored for quality and reliability, and the users’ confidentiality and privacy need to be maintained. Eight gaps in the literature and key recommendations for future health communication research were provided. Examples of these recommendations include the need to determine the relative effectiveness of different types of social media for health communication using randomized control trials and to explore potential mechanisms for monitoring and enhancing the quality and reliability of health communication using social media. Further robust and comprehensive evaluation and review, using a range of methodologies, are required to establish whether social media improves health communication practice both in the short and long terms.

A history of patient education by health professionals in Europe and North America: From authority to shared decision making education

OBJECTIVE This paper describes the development of patient education from the 1960s until now and identifies future challenges to improve patient education. RESULTS Patient education developed from the health care professional deciding what the patient needed to know to a shared decision making design where physician and patient are equally influential on the decision making process. The development of patient education is described for primary and secondary health care, as well as the impact of biomedical advances, an ageing population and cultural diversity on patient education. Some of the challenges for future patient education are identified: training health professionals as well as patients, involvement of the patients social environment and application of e-Health techniques to patient education. CONCLUSION Patient education has made several developmental changes, has spread to different settings in health care and has now finally established itself as a valuable part of health care for patients. Nevertheless, both patients and health professionals still need to be provided with skills to optimize patient education. A good science-practice fit for future interventions to facilitate patient education is paramount. PRACTICE IMPLICATION Lessons from the past of patient education are important for the growth and future development of patient education.

Cost-Effectiveness and Cost-Utility of Internet-Based Computer Tailoring for Smoking Cessation

Background Although effective smoking cessation interventions exist, information is limited about their cost-effectiveness and cost-utility. Objective To assess the cost-effectiveness and cost-utility of an Internet-based multiple computer-tailored smoking cessation program and tailored counseling by practice nurses working in Dutch general practices compared with an Internet-based multiple computer-tailored program only and care as usual. Methods The economic evaluation was embedded in a randomized controlled trial, for which 91 practice nurses recruited 414 eligible smokers. Smokers were randomized to receive multiple tailoring and counseling (n=163), multiple tailoring only (n=132), or usual care (n=119). Self-reported cost and quality of life were assessed during a 12-month follow-up period. Prolonged abstinence and 24-hour and 7-day point prevalence abstinence were assessed at 12-month follow-up. The trial-based economic evaluation was conducted from a societal perspective. Uncertainty was accounted for by bootstrapping (1000 times) and sensitivity analyses. Results No significant differences were found between the intervention arms with regard to baseline characteristics or effects on abstinence, quality of life, and addiction level. However, participants in the multiple tailoring and counseling group reported significantly more annual health care–related costs than participants in the usual care group. Cost-effectiveness analysis, using prolonged abstinence as the outcome measure, showed that the mere multiple computer-tailored program had the highest probability of being cost-effective. Compared with usual care, in this group €5100 had to be paid for each additional abstinent participant. With regard to cost-utility analyses, using quality of life as the outcome measure, usual care was probably most efficient. Conclusions To our knowledge, this was the first study to determine the cost-effectiveness and cost-utility of an Internet-based smoking cessation program with and without counseling by a practice nurse. Although the Internet-based multiple computer-tailored program seemed to be the most cost-effective treatment, the cost-utility was probably highest for care as usual. However, to ease the interpretation of cost-effectiveness results, future research should aim at identifying an acceptable cutoff point for the willingness to pay per abstinent participant.

Effectiveness of a Web-Based Multiple Tailored Smoking Cessation Program: A Randomized Controlled Trial Among Dutch Adult Smokers

Background Distributing a multiple computer-tailored smoking cessation intervention through the Internet has several advantages for both provider and receiver. Most important, a large audience of smokers can be reached while a highly individualized and personal form of feedback can be maintained. However, such a smoking cessation program has yet to be developed and implemented in the Netherlands. Objective To investigate the effects of a Web-based multiple computer-tailored smoking cessation program on smoking cessation outcomes in a sample of Dutch adult smokers. Methods Smokers were recruited from December 2009 to June 2010 by advertising our study in the mass media and on the Internet. Those interested and motivated to quit smoking within 6 months (N = 1123) were randomly assigned to either the experimental (n = 552) or control group (n = 571). Respondents in the experimental group received the fully automated Web-based smoking cessation program, while respondents in the control group received no intervention. After 6 weeks and after 6 months, we assessed the effect of the intervention on self-reported 24-hour point prevalence abstinence, 7-day point prevalence abstinence, and prolonged abstinence using logistic regression analyses. Results Of the 1123 respondents, 449 (40.0%) completed the 6-week follow-up questionnaire and 291 (25.9%) completed the 6-month follow-up questionnaire. We used a negative scenario to replace missing values. That is, we considered respondents lost to follow-up to still be smoking. The computer-tailored program appeared to have significantly increased 24-hour point prevalence abstinence (odds ratio [OR] 1.85, 95% confidence interval [CI] 1.30–2.65), 7-day point prevalence abstinence (OR 2.17, 95% CI 1.44–3.27), and prolonged abstinence (OR 1.99, 95% CI 1.28–3.09) rates reported after 6 weeks. After 6 months, however, no intervention effects could be identified. Results from complete-case analyses were similar. Conclusions The results presented suggest that the Web-based computer-tailored smoking cessation program had a significant effect on abstinence reported after a 6-week period. At the 6-month follow-up, however, no intervention effects could be identified. This might be explained by the replacement of missing values on the primary outcome measures due to attrition using a negative scenario. While results were similar when using a less conservative scenario (ie, complete-case analyses), the results should still be interpreted with caution. Further research should aim at identifying strategies that will prevent high attrition in the first place and, subsequently, to identify the best strategies for dealing with missing data when studies have high attrition rates. Trial Registration Dutch Trial Register NTR1351; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1351 (Archived by WebCite at http://www.webcitation.org/67egSTWrz)

Prevalence and reasons for use of electronic cigarettes among smokers: Findings from the International Tobacco Control (ITC) Netherlands Survey

BACKGROUND Not much is known about how people in the Netherlands respond to electronic cigarettes (e-cigarettes); how many know about them, which people try them, keep using them and why, and what are changes over time regarding awareness and use? METHODS We used samples of smokers aged 15 years and older from 2008 (n=1820), 2010 (n=1702), 2013 (n=1530), and 2014 (n=1550) as part of the International Tobacco Control (ITC) Netherlands Survey. Reasons for use and characteristics of smokers were examined using the sample from 2014. Logistic regression analyses were conducted to evaluate the associations between smoking-related variables with ever trying e-cigarettes and current e-cigarette use. RESULTS In 2014, 91.4% of Dutch smokers reported being aware of e-cigarettes (97.1% in 2008, 89.2% in 2010, and 85.5% in 2013), 40.0% reported having ever tried them (13.4% in 2008, 14.5% in 2010, and 19.6% in 2013), and 15.9% were currently using them (4.0% in 2008, 1% in 2010, and 3.9% in 2013). The main reason given for using e-cigarettes was to reduce the number of regular cigarettes smoked per day (79%). Ever trying e-cigarettes among those aware of e-cigarettes was associated with being young, smoking more regular cigarettes per day, having made a quit attempt in the last year, having used smoking cessation pharmacotherapy in the last year, and reporting high awareness of the price of regular cigarettes. Smokers who kept using e-cigarettes had a higher educational background, had higher harm awareness for the health of others, and were less likely to have a total smoking ban at home. CONCLUSION E-cigarettes are increasingly used by Dutch smokers. Commonly endorsed motivations for current e-cigarette use were to reduce tobacco smoking and because e-cigarettes are considered to be less harmful than tobacco cigarettes.

Influence of recruitment strategy on the reach and effect of a web-based multiple tailored smoking cessation intervention among Dutch adult smokers

This study investigated the influence of two different recruitment strategies on the reach and effect of a web-based multiple tailored smoking cessation program. From May 2009 until June 2010, Dutch adult smokers were recruited via mass media or general practices. Those who completed the baseline questionnaire were followed up during 6 weeks (two follow-ups). Differences between the two samples were assessed regarding baseline characteristics, retention rates, quit attempts and 24-hour point prevalence abstinence. Smokers recruited via general practices (N = 409) were significantly lower educated, less addicted, more motivated to quit smoking and to maintain non-smoking, more often female and more often suffering from cardiovascular or respiratory diseases than mass media respondents (N = 1154). They showed higher retention rates and were more likely to report a quit attempt (64.3 versus 50.7%) and abstinence (43.3 versus 33.1%). More respondents could be recruited via mass media, while general practices respondents showed higher retention rates and were more successful in quitting smoking, though these effects became non-significant when controlling for experimental condition and baseline differences. The choice for a particular recruitment strategy appeared to determine the number and type of smokers recruited and might consequently influence the interventions potential public health impact.

Effectiveness of a smoking cessation intervention in Dutch pharmacies and general practices

Purpose – The purpose of this paper is to test the effectiveness of a computer‐tailored smoking cessation intervention, distributed through 75 Dutch general practices (GP) and 65 pharmacies (PH) in a randomised control trial.Design/methodology/approach – Respondents receive a tailored letter or a thank you letter (control condition). Main outcome measures are a quit attempt, seven‐day abstinence and continued abstinence at follow‐up (PH: three and 12 months, GP: six months). Effect of use and appreciation of the tailored letter are also tested.Findings – In total, 1,019 smokers are recruited (545 in PH study, 474 in GP study). At 12‐month follow‐up (PH), respondents receiving the tailored letter report quit attempts significantly more often. No main effects are found in the GP sample. However, reading the tailored letter more than once (GP) and talking with others about the tailored letter (PH) are borderline significant predictors of quitting and point prevalence abstinence.Research limitations/implicati...

Reducing Alcohol Use During Pregnancy Via Health Counseling by Midwives and Internet-Based Computer-Tailored Feedback: A Cluster Randomized Trial

Background Effective interventions are needed to reduce neurobehavioral impairments in children due to maternal alcohol use during pregnancy. Currently, health-counseling interventions have shown inconsistent results to reduce prenatal alcohol use. Thus, more research using health counseling is needed to gain more knowledge about the effectiveness of this type of intervention on reducing alcohol use during pregnancy. An alternative and promising strategy is computer tailoring. However, to date, no study has shown the effectiveness of this intervention mode. Objective The aim was to test the effectiveness of health counseling and computer tailoring on stopping and reducing maternal alcohol use during pregnancy in a Dutch sample of pregnant women using alcohol. Methods A total of 60 Dutch midwifery practices, randomly assigned to 1 of 3 conditions, recruited 135 health counseling, 116 computer tailoring, and 142 usual care respondents from February to September 2011. Health-counseling respondents received counseling from their midwife according to a health-counseling protocol, which consisted of 7 steps addressed in 3 feedback sessions. Computer-tailoring respondents received usual care from their midwife and 3 computer-tailored feedback letters via the Internet. Usual care respondents received routine alcohol care from their midwife. After 3 and 6 months, we assessed the effect of the interventions on alcohol use. Results Multilevel multiple logistic regression analyses showed that computer-tailoring respondents stopped using alcohol more often compared to usual care respondents 6 months after baseline (53/68, 78% vs 51/93, 55%; P=.04). Multilevel multiple linear regression analyses showed that computer-tailoring respondents (mean 0.35, SD 0.31 units per week) with average (P=.007) or lower (P<.001) alcohol use before pregnancy or with average (P=.03) or lower (P=.002) social support more strongly reduced their alcohol use 6 months after baseline compared to usual care respondents (mean 0.48, SD 0.54 units per week). Six months after baseline, 72% (62/86) of the health-counseling respondents had stopped using alcohol. This 17% difference with the usual care group was not significant. Conclusions This is the first study showing that computer tailoring can be effective to reduce alcohol use during pregnancy; health counseling did not effectively reduce alcohol use. Future researchers developing a health-counseling intervention to reduce alcohol use during pregnancy are recommended to invest more in recruitment of pregnant women and implementation by health care providers. Because pregnant women are reluctant to disclose their alcohol use to health professionals and computer tailoring preserves a person’s anonymity, this effective computer-tailoring intervention is recommended as an attractive intervention for pregnant women using alcohol. Trial Registration Dutch Trial Register NTR 2058; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2058 (Archived by WebCite at http://www.webcitation.org/6NpT1oHol)

Intention to implement a smoking cessation intervention in Dutch general practice

Purpose – The paper seeks to identify determinants of general practice staffs intention to further implement a smoking cessation expert system, a computer‐generated tailored intervention, following their participation in an effectiveness study.Design/methodology/approach – Written questionnaires based on the I‐Change Model, a socio‐cognitive model, were left in general practices where the expert system had been trialled. Respondents intending to continue their use (intenders, n=62) were compared to those who did not (non‐intenders, n=27).Findings – Eighty‐nine individuals from 55 practices responded (73 per cent). GPs were more often intenders than general practice assistants. Responses from the same practice were not significantly related to each other. Intention to continue using the expert system was determined by a more positive attitude towards the expert system, a social norm towards engaging in smoking cessation activities, and higher self‐efficacy. Practice staff who had actively offered the expe...

Does a typical contemplator exist? Three clusters of smokers in contemplation

The aim of this study is to test whether subtypes exist among smokers in contemplation. Data from 194 adult smokers that participated in a randomized controlled trial testing the effectiveness of a computer-tailored smoking cessation program in Dutch general practices were used for secondary analysis. Cluster analysis was conducted based on baseline scores on pros and cons of quitting and self-efficacy to quit. Clusters were cross-sectionally compared for demographic variables and smoking characteristics with analyses of variance (ANOVA) and Chi-square tests. Logistic and multinomial regression analyses were used for longitudinal comparison for smoking behavior and stage of change at 6 months follow-up. Three clusters were identified: Early, Progressing and Disengaged Contemplators. Clusters differed significantly on all clustering variables (P < 0.001). Disengaged smokers were significantly less addicted than Early Contemplators. Cluster membership was not predictive of outcome measures. No subtype was identified representing the Classic Contemplator, scoring high on both pros and cons of quitting and low on self-efficacy, as found in previous studies among US samples. The predictive validity of the clusters found was limited.