Barriers and facilitators for people with severe mental illness accessing cancer screening: A systematic review

OBJECTIVE

Evidence suggests that people with severe mental illness (PwSMI) are 2.1 times more likely to die from cancer before the age of 75, compared to people without Severe mental illness (SMI). Yet, cancer screening uptake is low among PwSMI. This mixed-methods systematic review aimed to identify the barriers and facilitators for PwSMI deciding to access and attend primary cancer screening of the cervix, breast and colon.

METHODS

Six electronic databases and two grey literature sources were searched, with 1017 records screened against inclusion criteria. Included papers were appraised and data synthesised using the constructs of Normalisation Process Theory.

RESULTS

Twenty papers met the inclusion criteria. Factors that impact upon uptake of PwSMI accessing cancer screening were found to include age, gender, race, and income. Common barriers to attending screening included poor communication from healthcare staff, stigmatising attitudes, and accessibility problems such as no access to transportation. While, facilitators included social support from friends, family, and healthcare providers.

CONCLUSIONS

Due to ease and privacy, colorectal screening was found to have fewer barriers when compared to cervical and breast screening. The review identified multiple barriers that can be addressed and targeted to support decision-making for cancer screening among PwSMI. The protocol was registered with PROSPERO (CRD42022331781).

Topic search filters: a systematic scoping review

BACKGROUND

Searching for topics within large biomedical databases can be challenging, especially when topics are complex, diffuse, emerging or lack definitional clarity. Experimentally derived topic search filters offer a reliable solution to effective retrieval; however, their number and range of subject foci remain unknown.

OBJECTIVES

This systematic scoping review aims to identify and describe available experimentally developed topic search filters.

METHODS

Reports on topic search filter development (1990-) were sought using grey literature sources and 15 databases. Reports describing the conception and prospective development of a database-specific topic search and including an objectively measured estimate of its performance ('sensitivity') were included.

RESULTS

Fifty-four reports met inclusion criteria. Data were extracted and thematically synthesised to describe the characteristics of 58 topic search filters.

DISCUSSION

Topic search filters are proliferating and cover a wide range of subjects. Filter reports, however, often lack clear definitions of concepts and topic scope to guide users. Without standardised terminology, filters are challenging to find. Information specialists may benefit from a centralised topic filter repository and appraisal checklists to facilitate quality assessment.

CONCLUSION

Findings will help information specialists identify existing topic search filters and assist filter developers to build on current knowledge in the field.

Text mining for search term development in systematic reviewing: A discussion of some methods and challenges

Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term development for systematic reviewing. We found that the tools can be used in 5 overarching ways: improving the precision of searches; identifying search terms to improve search sensitivity; aiding the translation of search strategies across databases; searching and screening within an integrated system; and developing objectively derived search strategies. Using a case study and selected examples, we then reflect on the utility of certain technologies (term frequency-inverse document frequency and Termine, term frequency, and clustering) in improving the precision and sensitivity of searches. Challenges in using these tools are discussed. The utility of these tools is influenced by the different capabilities of the tools, the way the tools are used, and the text that is analysed. Increased awareness of how the tools perform facilitates the further development of methods for their use in systematic reviews.

Interventions for primary prevention of suicide in university and other post-secondary educational settings

BACKGROUND

Suicide is a leading cause of death among post-secondary students worldwide. Suicidal thoughts and planning are common among post-secondary students. Previous reviews have examined the effectiveness of interventions for symptomatic individuals; however, many students at high risk of suicide are undiagnosed and untreated.

OBJECTIVES

We evaluated the effect on suicide and suicide-related outcomes of primary suicide prevention interventions that targeted students within the post-secondary setting.

SEARCH METHODS

We searched the following sources up to June 2011: Specialised Registers of two Cochrane Groups, Cochrane Central Register of Controlled Trials, and nine other databases, trial registers, conference proceedings, and websites of national and international organizations. We screened reference lists and contacted authors of included studies to identify additional studies. We updated the search in November 2013; we will include these results in the review's next update.

SELECTION CRITERIA

We included studies that tested an intervention for the primary prevention of suicide using a randomized controlled trial (RCT), controlled before-and-after (CBA), controlled interrupted time series (CITS), or interrupted time series (ITS) study design. Interventions targeted students within the post-secondary setting (i.e. college, university, academy, vocational, or any other post-secondary educational institution) without known mental illness, previous suicide attempt or self-harm, or suicidal ideation. Outcomes included suicides, suicide attempts, suicidal ideation, changes in suicide-related knowledge, attitudes and behavior, and availability of means of suicide.

DATA COLLECTION AND ANALYSIS

We used standardized electronic forms for data extraction, risk of bias and quality of evidence determination, and analysis. We estimated standardised mean differences (SMD) with 95% confidence intervals (CIs). We analysed studies by intervention type and study design. We summarized RCT effect sizes using random-effects models meta-analyses; and analysed statistical heterogeneity using the Chi(2) test and I(2) statistic. We described narratively the results from studies that used other study designs.

MAIN RESULTS

Eight studies met inclusion criteria. They were heterogeneous in terms of participants, study designs, and interventions. Five of eight studies had high risk of bias. In 3 RCTs (312 participants), classroom-based didactic and experiential programs increased short-term knowledge of suicide (SMD = 1.51, 95% CI 0.57 to 2.45; moderate quality evidence) and knowledge of suicide prevention (SMD = 0.72, 95% CI 0.36 to 1.07; moderate quality evidence). The effect on suicide prevention self-efficacy in one RCT (152 participants) was uncertain (SMD = 0.20, 95% CI -0.13 to 0.54; low quality evidence). One CBA analysed the effects of an institutional policy that restricted student access to laboratory cyanide and mandated professional assessment for suicidal students. The incidence of student suicide decreased significantly at one university with the policy relative to 11 control universities, 2.00 vs. 8.68 per 100,000 (Z = 5.90; P < 0.05). Four CBAs explored effects of training 'gatekeepers' to recognize and respond to warning signs of emotional crises and suicide risk in students they encountered. The magnitude of effect sizes varied between studies. Gatekeeper training enhanced short-term suicide knowledge in students, peer advisors residing in student accommodation, and faculty and staff, and suicide prevention self-efficacy among peer advisors. There was no evidence of an effect on participants' suicide-related attitudes or behaviors. One CBA found no evidence of effects of gatekeeper training of peer advisors on suicide-related knowledge, self-efficacy, or gatekeeper behaviors measured four to six months after intervention.

AUTHORS' CONCLUSIONS

We found insufficient evidence to support widespread implementation of any programs or policies for primary suicide prevention in post-secondary educational settings. As all evaluated interventions combined primary and secondary prevention components, we were unable to determine the independent effects of primary preventive interventions. Classroom instruction and gatekeeper training increased short-term suicide-related knowledge. We found no studies that tested the effects of classroom instruction on suicidal behavior or long-term outcomes. Limited evidence suggested minimal longer-term effects of gatekeeper training on suicide-related knowledge, while no evidence was found evaluating its effect on suicidal behavior. A policy-based suicide intervention reduced student suicide, but findings have not been replicated. Our findings are limited by the overall low quality of the evidence and the lack of studies from middle- and low-income countries. Rigorously designed studies should test the effects of preventive interventions on important health outcomes, including suicidal ideation and behavior, in varying post-secondary settings.

Developing topic-specific search filters for PubMed with click-through data

OBJECTIVES

Search filters have been developed and demonstrated for better information access to the immense and ever-growing body of publications in the biomedical domain. However, to date the number of filters remains quite limited because the current filter development methods require significant human efforts in manual document review and filter term selection. In this regard, we aim to investigate automatic methods for generating search filters.

METHODS

We present an automated method to develop topic-specific filters on the basis of users' search logs in PubMed. Specifically, for a given topic, we first detect its relevant user queries and then include their corresponding clicked articles to serve as the topic-relevant document set accordingly. Next, we statistically identify informative terms that best represent the topic-relevant document set using a background set composed of topic irrelevant articles. Lastly, the selected representative terms are combined with Boolean operators and evaluated on benchmark datasets to derive the final filter with the best performance.

RESULTS

We applied our method to develop filters for four clinical topics: nephrology, diabetes, pregnancy, and depression. For the nephrology filter, our method obtained performance comparable to the state of the art (sensitivity of 91.3%, specificity of 98.7%, precision of 94.6%, and accuracy of 97.2%). Similarly, high-performing results (over 90% in all measures) were obtained for the other three search filters.

CONCLUSION

Based on PubMed click-through data, we successfully developed a high-performance method for generating topic-specific search filters that is significantly more efficient than existing manual methods. All data sets (topic-relevant and irrelevant document sets) used in this study and a demonstration system are publicly available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/downloads/CQ_filter/

Search terms and a validated brief search filter to retrieve publications on health-related values in Medline: a word frequency analysis study

OBJECTIVE

Healthcare debates and policy developments are increasingly concerned with a broad range of values-related areas. These include not only ethical, moral, religious, and other types of values 'proper', but also beliefs, preferences, experiences, choices, satisfaction, quality of life, etc. Research on such issues may be difficult to retrieve. This study used word frequency analysis to generate a broad pool of search terms and a brief filter to facilitate relevant searches in bibliographic databases.

METHODS

Word frequency analysis for 'values terms' was performed on citations on diabetes, obesity, dementia, and schizophrenia (Medline; 2004-2006; 4440 citations; 1,110,291 words). Concordance® and SPSS 14.0 were used. Text words and MeSH terms of high frequency and precision were compiled into a search filter. It was validated on datasets of citations on dentistry and food hypersensitivity.

RESULTS

144 unique text words and 124 unique MeSH terms of moderate and high frequency (≥ 20) and very high precision (≥ 90%) were identified. Of these, 19 text words and seven MeSH terms were compiled into a 'brief values filter'. In the derivation dataset, it had a sensitivity of 76.8% and precision of 86.8%. In the validation datasets, its sensitivity and precision were, respectively, 70.1% and 63.6% (food hypersensitivity) and 47.1% and 82.6% (dentistry).

CONCLUSIONS

This study provided a varied pool of search terms and a simple and highly effective tool for retrieving publications on health-related values. Further work is required to facilitate access to such research and enhance its chances of being translated into practice, policy, and service improvements.