Depressive symptoms and posttraumatic stress disorder as determinants of preference weights for attributes of obstetric care among Ethiopian women

Stated Preference Research in Reproductive and Maternal Healthcare Services in Sub-Saharan Africa: A Systematic Review

BACKGROUND AND OBJECTIVE

Understanding the preferred choice of healthcare service attributes for women is important, particularly in sub-Saharan Africa where resources are constrained and improving reproductive and maternal healthcare services is of high importance. The aim of this systematic review was to identify attributes of reproductive and maternal healthcare services in sub-Saharan Africa, and summarise the factors shaping women's preference to access these services.

METHODS

PubMed/MEDLINE, EMBASE, PsycINFO and CINAHL were searched from the inception of each database until March 2021 for published studies reporting stated preferences for maternal and reproductive healthcare services in sub-Saharan Africa. Data were extracted using a predefined extraction sheet, and the quality of reporting of included studies was assessed using PREFS and ISPOR (International Society for Pharmacoeconomics and Outcomes Research) checklists. The Donabedian's model for quality of healthcare was used to categorise attributes into "structure", "process" and "outcome".

RESULTS

A total of 13 studies (12 discrete choice experiments and one best-worst scaling study) were included. Attributes related to the structure of healthcare services (e.g. availability of technical equipment, medications or diagnostic facilities, having good system conditions) are often included within the studies, and are considered the most important by women. Of the three dimensions of quality of healthcare, the outcome dimension was the least frequently studied across studies. All except one study explored women's preferences and the participants were pregnant women, women aged 18-49 years who had recently given birth and women living with human immunodeficiency virus. The included studies came from five sub-Saharan Africa countries of which Ethiopia and South Africa each contributed three studies. All of the included studies reported on the purpose, findings and significance of the study. However, none of the studies reported on the differences between responders vs non-responders. Nine of the 13 studies employed the ISPOR checklist and reported each item including the research question and the methods for identifying and selecting attributes, and provided the findings in sufficient detail and clarity.

CONCLUSIONS

Aligning maternal healthcare service provision with women's preferences may foster client-oriented services and thereby improve service uptake and better patient outcomes.

Expression pattern, regulation, and clinical significance of TOX in breast cancer

Thymocyte selection-associated high mobility group box protein (TOX) is a transcription factor implicated in the regulation of T cell exhaustion during chronic infection and cancer. While TOX is being targeted for cancer immunotherapy, limited information is available about its significance in breast cancer and other solid tumors. We performed a comprehensive analysis of TOX gene expression, its epigenetic regulation, protein localization, relation to tumor infiltrating immune cell composition, and prognostic significance in breast cancer using publicly available datasets. Our results suggest an inverse correlation between TOX expression and DNA methylation in tumor cells. However, its expression is elevated in tumor infiltrating immune cells (TIICs), which may compensates for the total TOX levels in the tumor as a whole. Furthermore, higher TOX levels in tumors are associated with T cell exhaustion signatures along with presence of active inflammatory response, including elevated levels of T cell effector cytokines. Survival analysis also confirmed that higher expression of TOX is associated with better prognosis in breast cancer. Therefore, expression of TOX may serve as a novel prognostic marker for this malignancy.

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.

Women's Preferences for Treatment of Perinatal Depression and Anxiety: A Discrete Choice Experiment

Perinatal depression and anxiety (PNDA) are an international healthcare priority, associated with significant short- and long-term problems for women, their children and families. Effective treatment is available but uptake is suboptimal: some women go untreated whilst others choose treatments without strong evidence of efficacy. Better understanding of women’s preferences for treatment is needed to facilitate uptake of effective treatment. To address this issue, a discrete choice experiment (DCE) was administered to 217 pregnant or postnatal women in Australia, who were recruited through an online research company and had similar sociodemographic characteristics to Australian data for perinatal women. The DCE investigated preferences regarding cost, treatment type, availability of childcare, modality and efficacy. Data were analysed using logit-based models accounting for preference and scale heterogeneity. Predicted probability analysis was used to explore relative attribute importance and policy change scenarios, including how these differed by women’s sociodemographic characteristics. Cost and treatment type had the greatest impact on choice, such that a policy of subsidising effective treatments was predicted to double their uptake compared with the base case. There were differences in predicted uptake associated with certain sociodemographic characteristics: for example, women with higher educational attainment were more likely to choose effective treatment. The findings suggest policy directions for decision makers whose goal is to reduce the burden of PNDA on women, their children and families.

Eliciting patients' preferences for epilepsy diagnostics: a discrete choice experiment

BACKGROUND

Diagnosing epilepsy is a lengthy and burdensome process for patients and their family. Although the need for a more patient-centered approach in clinical practice is widely acknowledged, empirical evidence regarding patient preferences for diagnostic modalities in epilepsy is missing. The objectives of this study were 1) to identify to what extent important attributes of diagnostic procedures in epilepsy affect preferences for a procedure, 2) to determine the relative importance of these attributes, and 3) to calculate overall utility scores for routine electroencephalography (EEG) and magnetoencephalography (MEG) recordings.

METHODS

A discrete choice experiment was performed to determine patients' preferences, which involved presentation of pairwise choice tasks regarding hypothetical scenarios. Scenarios varied along six attributes: "way of measuring brain activity", "duration", "freedom of movement", "travel time", "type of additional examination", and "chance of additional examination". Choice tasks were constructed using a statistically efficient design, and the questionnaire contained 15 unique unlabeled choice tasks. Mixed multinomial logistic regression was used to estimate patients' preferences.

RESULTS

A total of 289 questionnaires were included in the analysis. McFadden's pseudo R(2) showed a model fit of 0.28, and all attributes were statistically significant. Heterogeneity in preferences was present for all attributes. "Freedom of movement" and "Chance of additional examination" were perceived as the most important attributes. Overall utility scores did not substantially differ between routine EEG and MEG.

CONCLUSION

This study suggests that the identified attributes are important in determining patients' preference for epilepsy diagnostics. It can be concluded that MEG is not necessarily more patient-friendly than a routine EEG in primary diagnostics and, regarding additional diagnostics, patients have a strong preference for long-term 24-h EEG over EEG after sleep deprivation. Furthermore, barring substantial heterogeneity within the parameters in mind, our study suggests that it is important to take individual preferences into account in medical decision-making.