Quality Appraisal of Child Oral Health-Related Quality of Life Measures: A Scoping Review

Quantitative data collection approaches in subject-reported oral health research: a scoping review

Background

This scoping review reports on studies that collect survey data using quantitative research to measure self-reported oral health status outcome measures. The objective of this review is to categorize measures used to evaluate self-reported oral health status and oral health quality of life used in surveys of general populations.

Methods

The review is guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) with the search on four online bibliographic databases. The criteria include (1) peer-reviewed articles, (2) papers published between 2011 and 2021, (3) only studies using quantitative methods, and (4) containing outcome measures of self-assessed oral health status, and/or oral health-related quality of life. All survey data collection methods are assessed and papers whose methods employ newer technological approaches are also identified.

Results

Of the 2981 unduplicated papers, 239 meet the eligibility criteria. Half of the papers use impact scores such as the OHIP-14; 10% use functional measures, such as the GOHAI, and 26% use two or more measures while 8% use rating scales of oral health status. The review identifies four data collection methods: in-person, mail-in, Internet-based, and telephone surveys. Most (86%) employ in-person surveys, and 39% are conducted in Asia-Pacific and Middle East countries with 8% in North America. Sixty-six percent of the studies recruit participants directly from clinics and schools, where the surveys were carried out. The top three sampling methods are convenience sampling (52%), simple random sampling (12%), and stratified sampling (12%). Among the four data collection methods, in-person surveys have the highest response rate (91%), while the lowest response rate occurs in Internet-based surveys (37%). Telephone surveys are used to cover a wider population compared to other data collection methods. There are two noteworthy approaches: 1) sample selection where researchers employ different platforms to access subjects, and 2) mode of interaction with subjects, with the use of computers to collect self-reported data.

Conclusion

The study provides an assessment of oral health outcome measures, including subject-reported oral health status and notes newly emerging computer technological approaches recently used in surveys conducted on general populations. These newer applications, though rarely used, hold promise for both researchers and the various populations that use or need oral health care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12903-022-02399-5.

The MOHIP-14PW (Modified Oral Health Impact Profile 14-Item Version for Pregnant Women): A Real-World Study of Its Psychometric Properties and Relationship with Patient-Reported Oral Health

Background: The 14-item version of the Oral Health Impact Profile (OHIP-14) has been widely used as a measure for oral health-related quality of life (OHQoL) since its publication in 1997. However, few studies have examined its psychometric properties and relationship with patient-reported oral health in pregnant women. Aim: To offer empirical evidence for appropriate use of the OHIP-14 among pregnant women in research and clinical practice. Objectives: (1) to empirically investigate the psychometric properties of the OHIP-14, (2) to modify it into the MOHIP-14PW (modified OHIP-14 for pregnant women), and (3) to compare their relationships with patient-reported oral health in pregnant women. Methods: In this real-world study (RWS) from suburban New York clinics, we collected OHIP-14 data from 291 pregnant women and assessed its psychometric properties at the item-, dimension-, and measure-level, including confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Accordingly, we modified the OHIP-14 into the MOHIP-14PW. Finally, we compared their correlations with patient-reported oral health scores. Results: All OHIP-14 items had severely skewed distributions, and two had a correlation with the patient-reported oral health < 0.1. All seven pairs of items correlated well (0.47 to 0.62), but the Cronbach’s alphas indicated suboptimal reliability, with two below 0.70. CFA results offered suboptimal support to the original structure, and EFA found a three-dimensional structure best fitted the data. Therefore, we modified the OHIP-14 into the MOHIP-14PW. CFA on the MOHIP-14PW offered stronger supports, and the Cronbach’s alphas increased to 0.92, 0.72, and 0.71. The MOHIP-14PW’s dimensions were more meaningful to pregnant women and had stronger relationships with patient-reported oral health than the OHIP-14; the average correlation coefficients increased by 26% from 0.19 in OHIP-14 to 0.24 in the MOHIP-14PW. Conclusions: The original OHIP-14 required modifications at the item-, dimension-, and measure- level, and the MOHIP-14PW had better psychometric properties, easier interpretation, and stronger correlation with patient-reported oral health in low-income pregnant women. Through an interdisciplinary RWS on a large sample of pregnant women, this study offers concrete empirical evidence for the advantages of the MOHIP-14PW over the original OHIP-14.

APPROVAL OF THE USE OF THE SHORT FORM 19 OF THE CHILD'S ORAL HEALTH IMPACT PROFILE (COHIP-SF 19) FOR DENTAL PUBLIC HEALTH NEEDS

OBJECTIVE

The aim: Is an adaptation, determination of psychometric properties, and approbation of the use of COHIP-SF 19 for the needs of dental public health in the Ukrainian sample of children and teenagers.

PATIENTS AND METHODS

Materials and methods: A cross-sectional validation study was conducted on a sample of 236 Ukrainian children aged 6 to 18. The psychometric indicators of the questionnaire were evaluated; analysis of the reliability and internal structure of the methodology based on correlation and factor analysis, calculation of Chronbach's alpha; reliability of re-testing (Intraclass Correlation Coefficient); assessment of convergent and discriminant validity (Mann-Whitney U test, ROC analysis, and correlation analysis). STATISTICA 6.1 (StatSoftInc., № AGAR909E415822FA) was used to analyze the results. The ethics of the study was confirmed by the conclusion of the relevant commission.

RESULTS

Results: After cultural direct and reverse translation of the original version, the Ukrainian version of COHIP-SF 19 UK was obtained. The internal consistency of the subscales and COHIP-SF 19 UK was generally sufficient (Cronbach's alpha is greater than 0.7). Sufficient reliability of retesting, convergent and discriminant validity of the methodology was proved. The presence of a correlation between COHIP-SF 19 UK indicators and self-assessment of children's health and quality of life was determined.

CONCLUSION

Conclusions: The study proved that COHIP-SF 19 UK is a reliable valid method for assessing the quality of life-related to oral health among Ukrainian children and adolescents, and its good psychometric properties are sufficient for research in the field of dental public health.

Pediatric patients' reasons for visiting dentists in all WHO regions

BACKGROUND

Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact are the four oral health-related quality of life (OHRQoL) dimensions (4D) or areas in which oral disorders impact pediatric patients. Using their dentists' assessment, the study aimed to evaluate whether pediatric dental patients' oral health concerns fit into the 4D of the Oral Health-Related Quality of Life (OHRQoL) construct.

METHODS

Dentists who treat children from 32 countries and all WHO regions were selected from a web-based survey of 1580 international dentists. Dentists were asked if their pediatric patients with current or future oral health concerns fit into the 4D of the Oral Health-Related Quality of Life (OHRQoL) construct. Proportions of all pediatric patients' oral health problems and prevention needs were computed.

FINDINGS

Data from 101 dentists treating children only and 523 dentists treating children and adults were included. For 90% of pediatric patients, their current oral health problems fit well in the four OHRQoL dimensions. For 91% of oral health problems they intended to prevent in the future were related to these dimensions as well. Both numbers increased to at least 96% when experts analyzed dentists´ explanations of why some oral health problems would not fit these four categories.

CONCLUSIONS

The study revealed the four fundamental components of dental patients, i.e., the four OHRQoL dimensions (Oral Function, Orofacial Pain, Orofacial Appearance, and Psychosocial Impact) are also applicable for pediatric patients, regardless of whether they have current or future oral health concerns, and should be considered when measuring OHRQoL in the pediatric dental patient population.