METHODS: A questionnaire was used to explore context, characteristics, and success factors or obstacles to intervention success based on participant input. The context was analyzed using the AMR-Intervene framework, and success factors and obstacles to intervention success were identified using thematic analysis.
RESULTS: Of the 77 interventions, 57 were implemented in HICs and 17 in LMICs. Interventions took place in the animal sector, followed by the human sector. Public organizations were mainly responsible for implementation and funding. Nine themes and 32 sub-themes emerged as important for intervention success. The themes most frequently reported were 'behavior', 'capacity and resources', 'planning', and 'information'. Five sub-themes were key in all contexts ('collaboration and coordination', 'implementation', 'assessment', 'governance', and 'awareness'), two were key in LMICs ('funding and finances' and 'surveillance, antimicrobial susceptibility testing and preventive screening'), and five were key in HICs ('mandatory', 'multiple profiles', 'personnel', 'management', and 'design').
CONCLUSION: LMIC sub-themes showed that funding and surveillance were still key issues for interventions, while important HIC sub-themes were more specific and detailed, including mandatory enforcement, multiple profiles, and personnel needed for good management and good design. While behavior is often underrated when implementing AMR interventions, capacity and resources are usually considered, and LMICs can benefit from sub-themes captured in HICs if tailored to their contexts. The factors identified can improve the design, planning, implementation, and evaluation of interventions.
METHODS: A cross-sectional study was conducted in ten different dental hospitals of Pakistan. The one-way ANOVA test was used to analyze patient's demographic distribution with PSR-OHS and oral functions. The complex sample general linear model was used to determine association between clinical OH and PSR-OHS. Analyses of each age group were conducted separately.
RESULTS: A total of 1,804 outdoor patients participated in the study, out of which 660 were young adults, 685 adults and 459 were older adults. Overall self-perception of all age groups about their oral health was 'good' (mean = 3.71). Female gender and education status were a significant factor in young adults and adults. Family income affected PSR-OHS of only the adult age group. Frequent visit to dental clinic and preventive reason of dental attendance were associated with good PSR-OHS. DMFT score, prosthesis score and periodontal score also affected the PSR-OHS of individuals. Association between PSR-OHS and clinical examination was confirmed by complex general linear model.
CONCLUSION: There are differences in the perceived oral health status of young adults, adults and older adults. The variables, age, education, family income, DMFT score, prosthesis score and periodontal score directly influence the self-perception of individuals.