Healthcare Worker Preferences for Active Tuberculosis Case Finding Programs in South Africa: A Best-Worst Scaling Choice Experiment

A Best-Worst Scaling Study of the General Population's Preferences for Activities in Living Arrangements for Persons With Dementia

BACKGROUND

Activity involvement is a central element of dementia care. However, few studies have examined preferences for types of activities for persons who may be in need of care in the future. In this study, a best-worst scaling (BWS) was conducted to gather insights on preferred activities in small-scale living arrangements for dementia in the general population aged 50-65 years from rural and urban regions.

METHODS

BWS tasks were developed based on literature searches and focus groups. The final BWS contains ten activities, namely 'interaction with animals', 'gardening', 'painting, handicrafts, manual activities', 'household activities (e.g., folding laundry, cooking)', 'watching television', 'practicing religion', 'listening to music and singing familiar songs', 'conversations about the past', 'walks and excursions', 'sport activities (e.g., gymnastics)'. Each participant had to fill out subsets of four objects each and identify them as best and worst. A postal survey was sent to a total of 4390 persons from rural and urban regions aged between 50 and 65 years. Results were analyzed by count analysis and logit models. It was examined if preferences differ with respect to gender, religiousness, and informal caregiving experience.

RESULTS

A total of 840 questionnaires were returned, and 627 surveys were included in the analysis. In the rural sample, the highest relative importance (RI) was assigned to 'walks and excursions' (RI: 100%), 'sport activities (e.g., gymnastics)' (RI: 56%), 'gardening' (RI: 28%), and 'interaction with animals' (26%). In the urban sample, 'walks and excursions' (RI: 100%), 'sport activities (e.g., gymnastics)' (RI: 37%), 'interaction with animals' (25%) and 'gardening' (RI: 22%) were perceived as most important. In both groups, household activities and practicing religion were of lowest importance. Importance ranks differed between subgroups. Results of the logit models with random effects showed the same order as results from the count analyses.

DISCUSSION

Our findings show that respondents generally favored activities with an outdoor component, while the household activities that are part of many concepts were of low importance to respondents. Thus, our study can inform the design of a preference-based specific range of activities in small-scale living arrangements for dementia.

A qualitative meta-synthesis of facilitators and barriers to tuberculosis diagnosis and treatment in Nigeria

Background

Despite progress in tuberculosis (TB) control globally, TB continues to be a leading cause of death from infectious diseases, claiming 1.2 million lives in 2018; 214,000 of these deaths were due to drug resistant strains. Of the estimated 10 million cases globally in 2018, 24% were in Africa, with Nigeria and South Africa making up most of these numbers.

Nigeria ranks 6th in the world for TB burden, with an estimated 4.3% multi-drug resistance in new cases. However, the country had one of the lowest case detection rates, estimated at 24% of incident cases in 2018 - well below the WHO STOP TB target of 84%. This rate highlights the need to understand contextual issues influencing tuberculosis management in Nigeria. Our synthesis was aimed at synthesizing qualitative evidence on factors influencing TB care in Nigeria.

Methods

A three-stage thematic meta-synthesis of qualitative studies was used to identify barriers and facilitators to tuberculosis case finding and treatment in Nigeria. A search of eleven databases was conducted. The date of publication was limited to 2006 to June 2020. We analyzed articles using a three-stage process, resulting in coding, descriptive subthemes and analytical themes.

Results

Our final synthesis of 10 articles resulted in several categories including community and family involvement, education and knowledge, attitudes and stigma, alternative care options, health system factors (including coverage and human resource), gender, and direct and indirect cost of care. These were grouped into three major themes: individual factors; interpersonal influences; and health system factors.

Conclusion

Case finding and treatment for TB in Nigeria currently depends more on individual patients presenting voluntarily to the hospital for care, necessitating an understanding of patient behaviors towards TB diagnosis and treatment. Our synthesis has identified several related factors that shape patients’ behavior towards TB management at individual, community and health system levels that can inform future interventions.

'Power plays plus push': experts' insights into the development and implementation of active tuberculosis case-finding policies globally, a qualitative study

OBJECTIVE

To explore experts' views on factors influencing national and global active case-finding (ACF) policy development and implementation, and the use of evidence in these processes.

DESIGN

This is an exploratory study based on semistructured expert interviews. Framework analysis was applied.

PARTICIPANTS

The study involved a purposive sample of 39 experts from international, non-governmental and non-profit organisations, funders, government institutions, international societies, think tanks, universities and research institutions worldwide.

RESULTS

This study highlighted the perceived need among experts for different types of evidence for ACF policy development and implementation, and for stakeholder engagement including researchers and policymakers to foster evidence use. Interviewees stressed the influence of government, donor and non-governmental stakeholders in ACF policy development. Such key stakeholders also influence ACF policy implementation, in addition to available systems and processes in a given health system, and implementers' motivation and incentives. According to the interviewees, the World Health Organization (WHO) guidelines for systematic screening face the innate challenge of providing guidance to countries across the broad area of ACF in terms of target groups, settings and screening algorithms. The guidelines could be improved by focusing on what should be done rather than what can be done in ACF, and by providing howto examples. Leadership, integration into health systems and long-term financing are key for ACF to be sustainable.

CONCLUSIONS

We provide new insights into ACF policy processes globally, particularly regarding facilitators for and barriers to ACF policy development, evidence need and use, and donor organisations' influence. According to expert participants, national and global ACF policy development and implementation can be improved by broadening stakeholder engagement. Meanwhile, using diverse evidence to inform ACF policy development and implementation could mitigate the 'power plays plus push' that might otherwise disrupt and mislead these policy processes.

A patient-centered composite endpoint weighting technique for orthopaedic trauma research

Background

This study aimed to address the current limitations of the use of composite endpoints in orthopaedic trauma research by quantifying the relative importance of clinical outcomes common to orthopaedic trauma patients and use those values to develop a patient-centered composite endpoint weighting technique.

Methods

A Best-Worst Scaling choice experiment was administered to 396 adult surgically-treated fracture patients. Respondents were presented with ten choice sets, each consisting of three out of ten plausible clinical outcomes. Hierarchical Bayesian modeling was used to determine the utilities associated with the outcomes.

Results

Death was the outcome of greatest importance (mean utility = − 8.91), followed by above knee amputation (− 7.66), below knee amputation (− 6.97), severe pain (− 5.90), deep surgical site infection (SSI) (− 5.69), bone healing complications (− 5.20), and moderate pain (− 4.59). Mild pain (− 3.30) and superficial SSI (− 3.29), on the other hand, were the outcomes of least importance to respondents.

Conclusion

This study revealed that patients’ relative importance towards clinical outcomes followed a logical gradient, with distinct and quantifiable preferences for each possible component outcome. These findings were incorporated into a novel composite endpoint weighting technique.

Factors influencing active tuberculosis case-finding policy development and implementation: a scoping review

OBJECTIVE

To explore antecedents, components and influencing factors on active case-finding (ACF) policy development and implementation.

DESIGN

Scoping review, searching MEDLINE, Web of Science, the Cochrane Database of Systematic Reviews and the World Health Organization (WHO) Library from January 1968 to January 2018. We excluded studies focusing on latent tuberculosis (TB) infection, passive case-finding, childhood TB and studies about effectiveness, yield, accuracy and impact without descriptions of how this evidence has/could influence ACF policy or implementation. We included any type of study written in English, and conducted frequency and thematic analyses.

RESULTS

Seventy-three articles fulfilled our eligibility criteria. Most (67%) were published after 2010. The studies were conducted in all WHO regions, but primarily in Africa (22%), Europe (23%) and the Western-Pacific region (12%). Forty-one percent of the studies were classified as quantitative, followed by reviews (22%) and qualitative studies (12%). Most articles focused on ACF for tuberculosis contacts (25%) or migrants (32%). Fourteen percent of the articles described community-based screening of high-risk populations. Fifty-nine percent of studies reported influencing factors for ACF implementation; mostly linked to the health system (eg, resources) and the community/individual (eg, social determinants of health). Only two articles highlighted factors influencing ACF policy development (eg, politics). Six articles described WHO's ACF-related recommendations as important antecedent for ACF. Key components of successful ACF implementation include health system capacity, mechanisms for integration, education and collaboration for ACF.

CONCLUSION

We identified some main themes regarding the antecedents, components and influencing factors for ACF policy development and implementation. While we know much about facilitators and barriers for ACF policy implementation, we know less about how to strengthen those facilitators and how to overcome those barriers. A major knowledge gap remains when it comes to understanding which contextual factors influence ACF policy development. Research is required to understand, inform and improve ACF policy development and implementation.

What publicly available quality metrics do hip and knee arthroplasty patients care about most when selecting a hospital in Maryland: a discrete choice experiment

OBJECTIVE

To quantify which publicly reported hospital quality metrics have the greatest impact on a patient's simulated hospital selection for hip or knee arthroplasty.

DESIGN

Discrete choice experiment.

SETTING

Two university-affiliated orthopaedic clinics in the greater Baltimore area, Maryland, USA.

PARTICIPANTS

One hundred and twenty-eight patients who were candidates for total hip or knee arthroplasty.

PRIMARY AND SECONDARY OUTCOME MEASURES

The effect and magnitude of acceptable trade-offs between publicly reported hospital quality parameters on patients' decision-making strategies using a Hierarchical Bayes model.

RESULTS

Publicly reported information on patient perceptions of attention to alleviation of postoperative pain had the most influence on simulated hospital choice (20.7%), followed by methicillin-resistant Staphylococcus aureus (MRSA) rates (18.8%). The understandability of the discharge instructions was deemed the least important attribute with a relative importance of 6.9%. Stratification of these results by insurance status and duration of pain prior to surgery revealed that patient demographics and clinical presentation affect the decision-making paradigm.

CONCLUSIONS

Publicly available information regarding hospital performance is of interest to hip and knee arthroplasty patients. Patients are willing to accept suboptimal understanding of discharge instructions, lower hospital ratings and suboptimal cleanliness in exchange for better postoperative pain management, lower MRSA rates, and lower complication rates.

Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review

BACKGROUND

Latent class analysis (LCA) has been increasingly used to explore preference heterogeneity, but the literature has not been systematically explored and hence best practices are not understood.

OBJECTIVE

We sought to document all applications of LCA in the stated-preference literature in health and to inform future studies by identifying current norms in published applications.

METHODS

We conducted a systematic review of the MEDLINE, EMBASE, EconLit, Web of Science, and PsycINFO databases. We included stated-preference studies that used LCA to explore preference heterogeneity in healthcare or public health. Two co-authors independently evaluated titles, abstracts, and full-text articles. Abstracted key outcomes included segmentation methods, preference elicitation methods, number of attributes and levels, sample size, model selection criteria, number of classes reported, and hypotheses tests. Study data quality and validity were assessed with the Purpose, Respondents, Explanation, Findings, and Significance (PREFS) quality checklist.

RESULTS

We identified 2560 titles, 99 of which met the inclusion criteria for the review. Two-thirds of the studies focused on the preferences of patients and the general population. In total, 80% of the studies used discrete choice experiments. Studies used between three and 20 attributes, most commonly four to six. Sample size in LCAs ranged from 47 to 2068, with one-third between 100 and 300. Over 90% of the studies used latent class logit models for segmentation. Bayesian information criterion (BIC), Akaike information criterion (AIC), and log-likelihood (LL) were commonly used for model selection, and class size and interpretability were also considered in some studies. About 80% of studies reported two to three classes. The number of classes reported was not correlated with any study characteristics or study population characteristics (p > 0.05). Only 30% of the studies reported using statistical tests to detect significant variations in preferences between classes. Less than half of the studies reported that individual characteristics were included in the segmentation models, and 30% reported that post-estimation analyses were conducted to examine class characteristics. While a higher percentage of studies discussed clinical implications of the segmentation results, an increasing number of studies proposed policy recommendations based on segmentation results since 2010.

CONCLUSIONS

LCA is increasingly used to study preference heterogeneity in health and support decision-making. However, there is little consensus on best practices as its application in health is relatively new. With an increasing demand to study preference heterogeneity, guidance is needed to improve the quality of applications of segmentation methods in health to support policy development and clinical practice.

Applying stated-preference methods to improve health systems in sub-Saharan Africa: a systematic review

INTRODUCTION

Sub-Saharan African health systems must balance shifting disease burdens with desires for robust institutions. Stated-preference methods have been applied extensively to elicit health care workers' preferences and priorities for rural practice. This systematic review characterizes the range of their applications to African health systems problems. Areas covered: A PRISMA protocol was submitted to PROSPERO. Six databases were queried for peer-reviewed articles using quantitative stated-preference methods to evaluate a health systems-related trade-off. Quality was assessed using the PREFS checklist. Seventy-seven articles published between 1996 and 2017 met review criteria. Methods were primarily choice-based: discrete-choice experiments (n = 46), ranking/allocation techniques (n = 21), conjoint analyses (n = 7), and best-worst scaling (n = 3). Trade-offs fell into six 'building blocks': service features (n = 27), workforce incentives (n = 17), product features (n = 14), system priorities (n = 14), insurance features (n = 4), and research priorities (n = 1). Five countries dominated: South Africa (n = 11), Ghana (n = 9), Malawi (n = 9), Uganda (n = 9), and Tanzania (n = 8). Discrete-choice experiments were of highest quality (mean score: 3.36/5). Expert commentary: Stated-preference methods have been applied to many health systems contexts throughout sub-Saharan Africa. Studies examined established strategic areas, especially primary health care for women, prevention and treatment of infectious diseases, and workforce development. Studies have neglected the emerging areas of non-communicable diseases.

The neglected burden of tuberculosis disease among health workers: a decade-long cohort study in South Africa

Background

Health workers (HWs) in resource-limited settings are at high-risk of exposure to tuberculosis (TB) at work. The aim of this study was to estimate the rate of TB disease among HWs in the Free State Province of South Africa between 2002 and 2012 and to compare demographic and clinical characteristics between HWs and the general population with TB. This study also explores the effect of occupational variables on risk of TB among HWs.

Methods

Probabilistic record linkage was utilized to identify HWs who were also registered as TB patients. This historical prospective cohort study calculated incidence rate ratios (IRR) for TB disease among HWs in Free State from 2002 to 2012. Generalized linear mixed-effects regression was used to model the association between sex, race, facility type, occupation, duration of employment, and the rate of TB.

Results

There were 2677 cases of TB diagnosed among HWs from 2002 to 2012 and 1280 cases were expected. The overall TB incidence rate in HWs during the study period was 1496·32 per 100,000 compared to an incidence rate of 719·37 per 100,000 in the general population during the same time period. IRR ranged from 1·14 in 2012 to 3·12 in 2005. HWs who were male, black, coloured and employed less than 20 years had higher risk of TB. Facility type and occupation were not associated with increased risk of TB when adjusted for other covariates.

Conclusion

HWs in South Africa have higher rates of TB than the general population. Improved infection prevention and control measures are necessary in all high-burden TB healthcare settings.

Electronic supplementary material

The online version of this article (doi:10.1186/s12879-017-2659-3) contains supplementary material, which is available to authorized users.

Consumer preferences for food allergen labeling

Background

Food allergen labeling is an important tool to reduce risk of exposure and prevent anaphylaxis for individuals with food allergies. Health Canada released a Canadian food allergen labeling regulation (2008) and subsequent update (2012) suggesting that research is needed to guide further iterations of the regulation to improve food allergen labeling and reduce risk of exposure.

Objective

The primary objective of this study was to examine consumer preferences in food labeling for allergy avoidance and anaphylaxis prevention. A secondary objective was to identify whether different subgroups within the consumer population emerged.

Methods

A discrete choice experiment using a fractional factorial design divided into ten different versions with 18 choice-sets per version was developed to examine consumer preferences for different attributes of food labeling.

Results

Three distinct subgroups of Canadian consumers with different allergen considerations and food allergen labeling needs were identified. Overall, preferences for standardized precautionary and safety symbols at little or no increased cost emerged.

Conclusion

While three distinct groups with different preferences were identified, in general the results revealed that the current Canadian food allergen labeling regulation can be improved by enforcing the use of standardized precautionary and safety symbols and educating the public on the use of these symbols.

Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview

Best-worst scaling (BWS), also known as maximum-difference scaling, is a multiattribute approach to measuring preferences. BWS aims at the analysis of preferences regarding a set of attributes, their levels or alternatives. It is a stated-preference method based on the assumption that respondents are capable of making judgments regarding the best and the worst (or the most and least important, respectively) out of three or more elements of a choice-set. As is true of discrete choice experiments (DCE) generally, BWS avoids the known weaknesses of rating and ranking scales while holding the promise of generating additional information by making respondents choose twice, namely the best as well as the worst criteria. A systematic literature review found 53 BWS applications in health and healthcare. This article expounds possibilities of application, the underlying theoretical concepts and the implementation of BWS in its three variants: 'object case', 'profile case', 'multiprofile case'. This paper contains a survey of BWS methods and revolves around study design, experimental design, and data analysis. Moreover the article discusses the strengths and weaknesses of the three types of BWS distinguished and offered an outlook. A companion paper focuses on special issues of theory and statistical inference confronting BWS in preference measurement.

Using Best-Worst Scaling to Investigate Preferences in Health Care

INTRODUCTION

Best-worst scaling (BWS) is becoming increasingly popular to elicit preferences in health care. However, little is known about current practice and trends in the use of BWS in health care. This study aimed to identify, review and critically appraise BWS in health care, and to identify trends over time in key aspects of BWS.

METHODS

A systematic review was conducted, using Medline (via Pubmed) and EMBASE to identify all English-language BWS studies published up until April 2016. Using a predefined extraction form, two reviewers independently selected articles and critically appraised the study quality, using the Purpose, Respondents, Explanation, Findings, Significance (PREFS) checklist. Trends over time periods (≤2010, 2011, 2012, 2013, 2014 and 2015) were assessed further.

RESULTS

A total of 62 BWS studies were identified, of which 26 were BWS object case studies, 29 were BWS profile case studies and seven were BWS multi-profile case studies. About two thirds of the studies were performed in the last 2 years. Decreasing sample sizes and decreasing numbers of factors in BWS object case studies, as well as use of less complicated analytical methods, were observed in recent studies. The quality of the BWS studies was generally acceptable according to the PREFS checklist, except that most studies did not indicate whether the responders were similar to the non-responders.

CONCLUSION

Use of BWS object case and BWS profile case has drastically increased in health care, especially in the last 2 years. In contrast with previous discrete-choice experiment reviews, there is increasing use of less sophisticated analytical methods.

Protecting health workers from infectious disease transmission: an exploration of a Canadian-South African partnership of partnerships

BACKGROUND

Health workers are at high risk of acquiring infectious diseases at work, especially in low and middle-income countries (LMIC) with critical health human resource deficiencies and limited implementation of occupational health and infection control measures. Amidst increasing interest in international partnerships to address such issues, how best to develop such collaborations is being actively debated. In 2006, a partnership developed between occupational health and infection control experts in Canada and institutions in South Africa (including an institute with a national mandate to conduct research and provide guidance to protect health workers from infectious diseases and promote improved working conditions). This article describes the collaboration, analyzes the determinants of success and shares lessons learned.

METHODS

Synthesizing participant-observer experience from over 9 years of collaboration and 10 studies already published from this work, we applied a realist review analysis to describe the various achievements at global, national, provincial and hospital levels. Expectations of the various parties on developing new insights, providing training, and addressing service needs were examined through a micro-meso-macro lens, focusing on how each main partner organization contributed to and benefitted from working together.

RESULTS

A state-of-the-art occupational health and safety surveillance program was established in South Africa following successful technology transfer from a similar undertaking in Canada and training was conducted that synergistically benefitted Northern as well as Southern trainees. Integrated policies combining infection control and occupational health to prevent and control infectious disease transmission among health workers were also launched. Having a national (South-South) network reinforced by the international (North-south) partnership was pivotal in mitigating the challenges that emerged.

CONCLUSIONS

High-income country partnerships with experience in health system strengthening - particularly in much needed areas such as occupational health and infection control - can effectively work through strong collaborators in the Global South to build capacity. Partnerships are particularly well positioned to sustainably reinforce efforts at national and sub-national LMIC levels when they adopt a "communities of practice" model, characterized by multi-directional learning. The principles of effective collaboration learned in this "partnership of partnerships" to improve working conditions for health workers can be applied to other areas where health system strengthening is needed.