How peoples’ ratings of dental implant treatment change over time?

Response shift results of quantitative research using patient-reported outcome measures: a descriptive systematic review

PURPOSE

The objective of this systematic review was to describe the prevalence and magnitude of response shift effects, for different response shift methods, populations, study designs, and patient-reported outcome measures (PROM)s.

METHODS

A literature search was performed in MEDLINE, PSYCINFO, CINAHL, EMBASE, Social Science Citation Index, and Dissertations & Theses Global to identify longitudinal quantitative studies that examined response shift using PROMs, published before 2021. The magnitude of each response shift effect (effect sizes, R-squared or percentage of respondents with response shift) was ascertained based on reported statistical information or as stated in the manuscript. Prevalence and magnitudes of response shift effects were summarized at two levels of analysis (study and effect levels), for recalibration and reprioritization/reconceptualization separately, and for different response shift methods, and population, study design, and PROM characteristics. Analyses were conducted twice: (a) including all studies and samples, and (b) including only unrelated studies and independent samples.

RESULTS

Of the 150 included studies, 130 (86.7%) detected response shift effects. Of the 4868 effects investigated, 793 (16.3%) revealed response shift. Effect sizes could be determined for 105 (70.0%) of the studies for a total of 1130 effects, of which 537 (47.5%) resulted in detection of response shift. Whereas effect sizes varied widely, most median recalibration effect sizes (Cohen's d) were between 0.20 and 0.30 and median reprioritization/reconceptualization effect sizes rarely exceeded 0.15, across the characteristics. Similar results were obtained from unrelated studies.

CONCLUSION

The results draw attention to the need to focus on understanding variability in response shift results: Who experience response shifts, to what extent, and under which circumstances?

Does orthodontic treatment improve the Oral Health-Related Quality of Life when assessed using the Malocclusion Impact Questionnaire-a 3-year prospective longitudinal cohort study

OBJECTIVES

To assess the change in Oral Health-Related Quality of Life (OHRQoL) following orthodontic treatment using the Malocclusion Impact Questionnaire (MIQ) and to test the responsiveness of MIQ to treatment-associated changes.

METHODS

A longitudinal prospective cohort study, in an orthodontic postgraduate centre, Kerala, India. Patients under 18 years were invited to complete the MIQ before the start of treatment (T0) and 1 month after treatment completion (T1). TheIndex of Orthodontic Treatment Need and Peer Assessment Rating (PAR) scores were assessed at both time periods as well as a global transition judgement at T1.

RESULTS

Two hundred and ten participants were recruited and 162 completed both questionnaires (45.1% males; 54.9% females; age = 12-18 years, mean = 16.8; SD = 1.7). There was large reduction in MIQ scores from T0 (mean = 28.1, SD = 6.1) to T1 (mean = 3.7, SD = 2.6). 53% reported a large improvement in oral health and related life quality after treatment, 32% minimal change, and 15% no change. None reported worsening in OHRQoL at T1. There was a significant positive correlation between change in MIQ score and change in PAR score (r = 0.358), pretreatment aesthetic component (rho = 0.467) and dental health component (rho = 0.491) of the index of orthodontic treatment (IOTN-DHC), and treatment time (rho = 0.502). Regression analysis revealed the change in PAR score and pretreatment IOTN-DHC to be independent predictors of change in MIQ score. Standardized effect size (4.0) and standardized response mean (2.9) were large and the minimal important difference was 7.7. Receiver operating characteristic analysis reported a high diagnostic accuracy of MIQ.

CONCLUSIONS

There was a significant improvement in OHRQoL following orthodontic treatment when assessed using a condition-specific measure for malocclusion. MIQ was found to be responsive to changes associated with orthodontic treatment.

Changes of dental anxiety, aesthetic perception and oral health-related quality of life related to influencing factors of patients' demographics after anterior implant treatment: a prospective study

BACKGROUND

Accumulating evidence has revealed the effects of anterior implant procedures on dental anxiety (DA), aesthetic perception and oral health-related quality of life (OHRQoL). However, few reported the changes and influencing factors of the above outcomes before and after anterior implant treatment. This study was to evaluate the changes of DA, aesthetic perception and OHRQoL related to influencing factors of patients' demographics after anterior implant treatment.

METHODS

Thirty-nine patients satisfying the inclusion criteria were prospectively recruited before surgery. The subjects completed the Modified Dental Anxiety Scale (MDAS), the Orofacial Esthetic Scale (OSE) and the Oral Health Impact Profile-14 (OHIP-14), before implant surgery and after definitive prosthesis placement. Mann-Whitney U test and Kruskal-Wallis test by Bonferroni correction were applied for the data analysis and the influencing factors evaluation (p < 0.05).

RESULTS

Overall, 39 patients (mean age of 44.9 ± 12.0) completed the three scales. After anterior implant treatment, MDAS was not significantly changed (p > 0.05). The overall OSE (p < 0.001) and OHIP-14 (p < 0.05) were significantly improved. Females showed more improvement of overall OHIP score than males after anterior implant treatment (p < 0.05).

CONCLUSIONS

Anterior implant procedures did not change the level of patient's DA, while aesthetic perception and OHRQoL were enhanced. Only gender difference of overall OHIP change was found in our study. Thus, more related influencing factors with larger sample and long-term effective follow-up are needed.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05424458. Registered 13 June 2022-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT05424458 .

STATIS multivariate three-way method for evaluating quality of life after corneal surgery: Methodology and case study in Costa Rica

Vision-related quality of life (QoL) analyzes the visual function concerning individual well-being based on activity and social participation. Because QoL is a multivariate construct, a multivariate statistical method must be used to analyze this construct. In this paper, we present a methodology based on STATIS multivariate three-way methods to assess the real change in vision-related QoL for myopic patients by comparing their conditions before and after corneal surgery. We conduct a case study in Costa Rica to detect the outcomes of patients referred for myopia that underwent refractive surgery. We consider a descriptive, observational and prospective study. We utilize the NEI VFQ-25 instrument to measure the vision-related QoL in five different stages over three months. After applying this instrument/questionnaire, a statistically significant difference was detected between the perceived QoL levels. In addition, strong correlations were identified with highly similar structures ranging from 0.857 to 0.940. The application of the dual STATIS method found the non-existence of reconceptualization in myopic patients, but a statistically significant recalibration was identified. Furthermore, a real change was observed in all patients after surgery. This finding has not been stated previously due to the limitations of the existing statistical tools. We demonstrated that dual STATIS is a multivariate method capable of evaluating vision-related QoL data and detecting changes in recalibration and reconceptualization.

Listening to the elephant in the room: response-shift effects in clinical trials research

Background

While a substantial body of work postulates that adaptation (response-shift effects) may serve to hide intervention benefits, much of the research was conducted in observational studies, not randomized-controlled trials. This scoping review identified all clinical trials that addressed response shift phenomena, and characterized how response-shift effects impacted trial findings.

Methods

A scoping review was done of the medical literature from 1968 to 2021 using as keywords “response shift” and “clinical trial.” Articles were included if they were a clinical trial that explicitly examined response-shift effects; and excluded if they were not a clinical trial, a full report, or if response shift was mentioned only in the discussion. Clinical-trials papers were then reviewed and retained in the scoping review if they focused on randomized participants, showed clear examples of response shift, and used reliable and valid response-shift detection methods. A synthesis of review results further characterized the articles’ design characteristics, samples, interventions, statistical power, and impact of response-shift adjustment on treatment effect.

Results

The search yielded 2148 unique references, 25 of which were randomized-controlled clinical trials that addressed response-shift effects; 17 of which were retained after applying exclusion criteria; 10 of which were adequately powered; and 7 of which revealed clinically-important response-shift effects that made the intervention look significantly better.

Conclusions

These findings supported the presumption that response shift phenomena obfuscate treatment benefits, and revealed a greater intervention effect after integrating response-shift related changes. The formal consideration of response-shift effects in clinical trials research will thus not only improve estimation of treatment effects, but will also integrate the inherent healing process of treatments.

Key points

This scoping review supported the presumption that response shift phenomena obfuscate treatment benefits and revealed a greater intervention effect after integrating response-shift related changes.

The formal consideration of response-shift effects in clinical trials research will not only improve estimation of treatment effects but will also integrate the inherent healing process of treatments.

Detection of response shift in health-related quality of life studies: a systematic review

Background

Response Shift (RS) refers to the idea that an individual may undergo changes in its health-related quality of life (HRQOL). If internal standard, values, or reconceptualization of HRQOL change over time, then answer to the same items by the same individuals may not be comparable over time. Traditional measures to evaluate RS is prone to bias and strong methodologies to study the existence of this phenomenon is required. The objective is to systematically identify, analyze, and synthesize the existing and recent evidence of statistical methods used for RS detection in HRQOL studies.

Methods

The analysis of selected studies between January 2010 and July 2020 was performed through a systematic review in MEDLINE/PubMed, Scopus, Web of Science, PsycINFO and Google Scholar databases. The search strategy used the terms “Health-Related Quality of Life” and “Response Shift” using the filters “Humans”, “Journal Article”, “English” and “2010/01/01–2020/07/31”. The search was made in August 2020.

Results

After considering the inclusion and exclusion criteria, from the total selected articles (675), 107 (15.9%) of the publications were included in the analysis. From these, 79 (71.0%) detected the existence of RS and 86 (80.4%) only used one detection method. The most used methods were Then Test (n = 41) and Oort’s Structural Equation Models (SEM) (n = 35). Other method used were Multiple Lineal Regression (n = 7), Mixed-Effect Regression (n = 6), Latent Trajectory Analysis (n = 6), Item Response Theory (n = 6), Logistics Regression (n = 5), Regression and Classification Trees (n = 4) and Relative Importance Method (n = 4). Most of these detected recalibration, including Then Test (n = 27), followed by Oort’s SEM that detected the higher combination of RS types: recalibration (n = 24), reprioritization (n = 13) and reconceptualization (n = 7).

Conclusions

There is a continuous interest of studying RS detection. Oort’s SEM becomes the most versatile method in its capability for detecting RS in all different types. Despite results from previous systematic reviews, same methods have been used during the last years. We observed the need to explore other alternative methods allowing same detection capacity with robust and highly precise methodology. The investigation on RS detection and types requires more study, therefore new opportunity grows to continue attending this phenomenon through a multidisciplinary perspective.