Non-response in telephone surveys of COPD patients does not introduce bias

New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey

Background

The future of health care delivery is becoming more patient-focused, and electronic health record (EHR) portals are gaining more attention from worldwide governments that consider this technology as a valuable asset for the future sustainability of the national health care systems. Overall, this makes the adoption of EHR portals an important field to study.

Objective

The aim of this study is to understand the factors that drive individuals to adopt EHR portals.

Methods

We applied a new adoption model that combines 3 different theories, namely, extended unified theory of acceptance and use of technology, health belief model, and the diffusion of innovation; all the 3 theories provided relevant contributions for the understanding of EHR portals. To test the research model, we used the partial least squares causal modeling approach. We executed a national survey based on randomly generated mobile phone numbers. We collected 139 questionnaires.

Results

Performance expectancy (beta=.203; t=2.699), compatibility (beta=.530; t=6.189), and habit (beta=.251; t=2.660) have a statistically significant impact on behavior intention (R²=76.0%). Habit (beta=.378; t=3.821), self-perception (beta=.233; t=2.971), and behavior intention (beta=.263; t=2.379) have a statistically significant impact on use behavior (R²=61.8%). In addition, behavior intention (beta=.747; t=10.737) has a statistically significant impact on intention to recommend (R²=69.0%), results demonstrability (beta=.403; t=2.888) and compatibility (beta=.337; t=2.243) have a statistically significant impact on effort expectancy (R²=48.3%), and compatibility (beta=.594; t=6.141) has a statistically significant impact on performance expectancy (R²=42.7%).

Conclusions

Our research model yields very good results, with relevant R² in the most important dependent variables that help explain the adoption of EHR portals, behavior intention, and use behavior.

Unit Nonresponse in a Population-Based Study of Prostate Cancer

Low unit response rates can increase bias and compromise study validity. Response rates have continued to fall over the past decade despite all efforts to increase participation. Many factors have been linked to reduced response, yet relatively few studies have employed multivariate approaches to identify characteristics that differentiate respondents from nonrespondents since it is hard to collect information on the latter. We aimed to assess factors contributing to enrollment of prostate cancer (PCa) patients. We combined data from the North Carolina-Louisiana (LA) PCa Project's LA cohort, with additional sources such as US census tract and LA tumor registry data. We included specific analyses focusing on blacks, a group often identified as hard to enroll in health-related research. The ability to study the effect of Hurricane Katrina, which occurred amidst enrollment, as a potential determinant of nonresponse makes our study unique. Older age (≥ 70) for blacks (OR 0.65) and study phase with respect to Hurricane Katrina for both races (OR 0.59 for blacks, OR 0.48 for whites) were significant predictors of participation with lower odds. Neighborhood poverty for whites (OR 1.53) also was a significant predictor of participation, but with higher odds. Among blacks, residence in Orleans parish was associated with lower odds of participation (OR 0.33) before Katrina. The opposite occurred in whites, with lower odds (OR 0.43) after Katrina. Our results overall underscore the importance of tailoring enrollment approaches to specific target population characteristics to confront the challenges posed by nonresponse. Our results also show that recruitment-related factors may change when outside forces bring major alterations to a population's environment and demographics.

Cost-effectiveness of non-surgical peri-implantitis treatments

AIM

The purpose of the present study was to assess the cost-effectiveness of various alternatives of non-surgical peri-implantitis treatment.

MATERIALS AND METHODS

A decision analytical model was constructed and populated with parameter estimates from recent literature for reduction in pocket probing depth (PPD) in response to eight different treatment alternatives. A micro-costing approach combined with an online expert survey was applied to simulate a decision-making scenario taking place in Germany. The treatment alternatives providing the most advantageous cost/outcome combinations were identified according to the net benefit criterion. Uncertainties regarding model input parameters were incorporated via simple and probabilistic sensitivity analysis based on Monte Carlo simulation.

RESULTS

In the base case scenario, debridement alone, Air-Flow, debridement combined with PerioChip, and debridement combined with local antibiotics were identified as treatment strategies with comparably better value for money than Er:YAG laser monotherapy, Vector System, debridement combined with CHX, and photodynamic therapy. Sensitivity analysis revealed considerable decision uncertainty corresponding to limited evidence about different treatment alternatives for peri-implantitis treatment.

CONCLUSIONS

Derivation of robust treatment recommendations for peri-implantitis requires more comprehensive and patient-centred evidence on peri-implantitis treatments.

Strategies for maximizing consent rates for child dental health surveys: a randomised controlled trial

Background

Poor response rates can jeopardise the validity of the findings of epidemiological surveys. The aim of this study was to undertake a randomised controlled trial to determine the effectiveness of different strategies for maximizing parental consent rates for dental health surveys of young children.

Methods

The trial took place within the 2007/2008 NHS Epidemiological Dental Health Survey of 5-year-old children in the North West of England. Schools were randomised to one of five interventions: multiple letters to parents; promoting the research by providing additional information to parents and children; a financial incentive to the school; a financial incentive to the school administrator plus direct mailing to parents; and a control intervention comprising of usual practice, that is a single letter home to parents via the children.

Results

A total of 335 schools (11,088 children) were recruited. The mean percentage consent rates ranged from 47% (financial incentive to school administrator plus direct mailing) to 63% (multiple letters). Pair-wise comparisons indicated that the multiple letter group had a statistically significantly greater consent rate than the financial incentive to the school administrator plus direct mailing group and promoting the research by providing additional information group, but was not statistically significantly different from the financial incentive to the school group and the control group.

Conclusions

There was little evidence to show that any of the five interventions made a significant difference to consent rates when compared to the control group. Financial incentives to schools were less effective than multiple reminder letters to parents. Trials should be built into surveys to test different interventions, in different contexts to expand the evidence base for improving consent rates in health surveillance programmes.