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Developing countries (a term often used interchangeably with low- and middle-income countries) account for the overwhelming majority of the world’s population. There is a huge burden of mental illness coupled with deficits in mental healthcare resources and infrastructure that perpetuates a high treatment gap in most developing countries. Good quality scientific research can help in understanding the challenges and evaluating solutions to improve mental healthcare delivery. However, there is a substantial scarcity of research from developing countries. This chapter discusses the unique nature of strengths and challenges with respect to mental health and provides examples of successful scientific mental health research with public health implications from developing countries. The feasible solutions to improve mental healthcare research across individual, organisational, and national level in developing countries given the unique strengths and deficits are discussed in detail.
The mental health (MH) of adolescents in low- and middle-income countries (LMIC), particularly those in rural areas, has historically been neglected in research and services, despite the documented burden MH problems represent among these populations. Settings where MH stigma is high require strategic research methods. Photovoice is a promising method for MH research in contexts of high stigma, but studies examining its acceptability with rural adolescents in LMIC remain scarce. We explored the acceptability of photovoice for MH research through perspectives of adolescents from rural Mexico who participated in a photovoice project focused on factors affecting their MH. Adolescents (n = 40) participated in focus groups where they discussed what they learned through the MH photovoice project, and the aspects of the method they perceived to be valuable. Focus groups transcripts were thematically analyzed. Participants’ satisfaction with the MH photovoice project was tied to: (1) learning about the meaning, nature, and experiences of MH; (2) enjoying relationships, novelty, and fun; and (3) wishing for more time, more play, and continuity. Photovoice is an acceptable method for MH research among rural adolescents in LMIC, sparking reflection and collective dialog that can lead to the development of local initiatives.
We present a series of network analyses aiming to uncover the symptom constellations of depression, anxiety and somatization among 2,796 adult primary health care attendees in Goa, India, a low- and middle-income country (LMIC). Depression and anxiety are the leading neuropsychiatric causes of disability. Yet, the diagnostic boundaries and the characteristics of their dynamically intertwined symptom constellations remain obscure, particularly in non-Western settings. Regularized partial correlation networks were estimated and the diagnostic boundaries were explored using community detection analysis. The global and local connectivity of network structures of public versus private healthcare settings and treatment responders versus nonresponders were compared with a permutation test. Overall, depressed mood, panic, fatigue, concentration problems and somatic symptoms were the most central. Leveraging the longitudinal nature of the data, our analyses revealed baseline networks did not differ across treatment responders and nonresponders. The results did not support distinct illness subclusters of the CMDs. For public healthcare settings, panic was the most central symptom, whereas in private, fatigue was the most central. Findings highlight varying mechanism of illness development across socioeconomic backgrounds, with potential implications for case identification and treatment. This is the first study directly comparing the symptom constellations of two socioeconomically different groups in an LMIC.
High rates of intimate partner violence (IPV) and mental disorders are present in Mozambique where there is a significant treatment gap. We aimed to report Mozambican community stakeholder perspectives of implementing couple-based interpersonal psychotherapy (IPT-C) in preparation for a pilot trial in Nampula City.
Methods
We conducted 11 focus group discussions (6–8 people per group) and seven in-depth interviews with key informants in mental health or gender-based violence (n = 85) using purposive sampling. We used grounded theory methods to conduct an inductive coding and then deductively applied the consolidated framework for implementation research (CFIR).
Results
For the outer setting, local attitudes that stigmatize mental health conditions and norm IPV as well as an inefficient legal system were barriers. Stakeholders expressed high acceptability of IPT-C, although a lack of resources was a structural challenge for the inner setting. Adaptation of the approach to screen for and address potential mediators of IPV was important for adopting a multisectoral response to implementation and planning. Delivering IPT-C in the community and in collaboration with community stakeholders was preferable.
Conclusion
Stakeholders recommended multilevel involvement and inclusion of community-based programming. Task shifting and use of technology can help address these resource demands.
Empathy is a key factor to examine in development, because of its predictive associations with both aggression and successful prosocial behaviour. However, established measures of empathy for Low-to-Middle Income Countries, including South Africa, are lacking. In children, parent-report measures are key. However, a local study examining empathy and aggression (Malcolm-Smith et al., 2015) found poor psychometric performance for a widely used parent-report measure of dispositional empathy, the Griffith Empathy Measure (GEM). We thus investigated which of two questionnaires measuring dispositional cognitive and affective empathy perform better in this context.
Method:
We contrasted internal consistency reliability of a simplified version of the GEM (SGEM; n = 160) and a parent-report version of the Questionnaire of Cognitive and Affective Empathy (QCAE; n = 440) in a low-mid socio-economic status sample. Convergence between the measures and factor structure were also assessed.
Results:
The parent-report version of the QCAE performed well as a measure of child dispositional cognitive and affective empathy, with good reliability (overall α = 0.90 vs. SGEM α = .63), and confirmatory factor analysis supporting the two-factor structure. The SGEM’s reliability and failure to correlate with QCAE indicated poor psychometric performance.
Conclusion:
This is the first psychometric evaluation of the QCAE as a parent-report measure, and our results indicate that it should prove useful for future assessments of dispositional empathy in children across a variety of contexts.
To achieve universal health coverage (UHC), countries must make difficult choices to optimize the use of scarce resources. There is a growing interest in using evidence-based priority setting processes, such as Health Technology Assessment (HTA), to inform these decisions. In 2020, the Palestinian Institute of Public Health (PNIPH) and the Norwegian Institute of Public Health (NIPH) initiated a pilot to test the feasibility of coproducing an HTA on breast cancer screening in the West Bank, occupied Palestinian Territory. Additionally, a secondary aim was to test whether using an adaptive HTA (aHTA) approach that searched and transferred published evidence syntheses could increase the speed of HTA production.
Methods
The applied stepwise approach to the HTA is described in detail and can be summarized as defining a core team, topic selection, and prioritization; undertaking the HTA including adaptation using tools from the European Network for HTA (EUnetHTA) and stakeholder engagement; and concluding with dissemination.
Results
The aHTA approach was faster but not as quick as anticipated, which is attributed to (i) the lack of availability of local evidence for contextualizing findings and (ii) the necessity to build trust between the team and stakeholders. Some delays followed from the COVID-19 pandemic, which showed the importance of good risk anticipation and mitigation. Lastly, other important lessons included the ability of virtual collaborations, the value of capacity strengthening initiatives within low- and middle-income countries (LMICs), and the need for early stakeholder engagement. Overall, the pilot was successfully completed.
Conclusion
This was the first HTA of its kind produced in Palestine, and despite the challenges, it shows that HTA analysis is feasible in this setting.
Psychological interventions have demonstrated effectiveness in treating perinatal depression (PND), but understanding for whom, how and under what conditions they improve symptoms in low- and middle-income countries (LMICs) is largely unknown. This review aims to synthesise current knowledge about predictors, moderators and mediators of psychological therapies to treat PND in LMICs. Five databases were searched for studies quantitatively examining the effects of at least one mediator, moderator or predictor of therapies for PND in LMICs. The review sampled seven publications evaluating findings from randomised trials conducted in Asia and sub-Saharan Africa. The small number of included studies limited generalisability of findings. Analyses of trials with acceptable quality suggest that patient activation in Pakistan and social support in both India and Pakistan may mediate psychotherapy effectiveness, higher baseline depression severity may moderate treatment response in South Africa, and shorter depression duration at baseline may moderate intervention response in India. This review highlights current gaps in evidence quality and the need for future trials exploring PND psychotherapy effectiveness in LMICs to follow reporting guidelines to facilitate appropriate predictor, moderator and mediator analyses.
Routine patient care data are increasingly used for biomedical research, but such “secondary use” data have known limitations, including their quality. When leveraging routine care data for observational research, developing audit protocols that can maximize informational return and minimize costs is paramount.
Methods:
For more than a decade, the Latin America and East Africa regions of the International epidemiology Databases to Evaluate AIDS (IeDEA) consortium have been auditing the observational data drawn from participating human immunodeficiency virus clinics. Since our earliest audits, where external auditors used paper forms to record audit findings from paper medical records, we have streamlined our protocols to obtain more efficient and informative audits that keep up with advancing technology while reducing travel obligations and associated costs.
Results:
We present five key lessons learned from conducting data audits of secondary-use data from resource-limited settings for more than 10 years and share eight recommendations for other consortia looking to implement data quality initiatives.
Conclusion:
After completing multiple audit cycles in both the Latin America and East Africa regions of the IeDEA consortium, we have established a rich reference for data quality in our cohorts, as well as large, audited analytical datasets that can be used to answer important clinical questions with confidence. By sharing our audit processes and how they have been adapted over time, we hope that others can develop protocols informed by our lessons learned from more than a decade of experience in these large, diverse cohorts.
Common mental health problems (particularly depression and anxiety) are common among adolescents during the perinatal period. Previous research has identified the distinctive needs of this group and called for contextually appropriate psychosocial interventions. The current study conducted in Malawi aimed to explore risk and protective factors for common mental health problems, and barriers to accessing mental health care, among perinatal adolescents, to develop a contextually relevant intervention for preventing and treating perinatal depression and anxiety. An exploratory qualitative study was conducted in antenatal and postnatal clinics in Zomba district, Malawi in January–March 2022. In-depth individual interviews were completed with perinatal adolescents aged ≤19 (n = 14); their family members (n = 4); and healthcare workers (n = 8). Interview data were subjected to thematic framework analysis. Data were organised around two themes: “psychosocial risk and protective factors” (potential causes of common mental health problems among adolescents); and “health care services” (maternal and mental health services available, and adolescents’ experiences of using these services). Interventions need to go beyond targeting symptoms of depression and anxiety to addressing the wider contextual risk factors and barriers to care at the different socioecological levels.
The present study explored the family caregivers’ perspectives and elicited their experience while managing dementia care during the COVID-19 pandemic in Odisha, India.
Background:
The onset of the COVID-19 pandemic has diverted the attention of health systems away from chronic disease management and health services delivery. Psychiatric care particularly for dementia and the elderly is found to be more compromised in such situation.
Methods:
We adopted an inductive phenomenological approach to garner key insights into the care continuity for people living with dementia in the context of the COVID-19 pandemic. Telephonic in-depth interviews (IDIs) were carried out with 17 immediate caregivers. All IDIs were digitally recorded, transcribed, and analysed using a thematic approach.
Findings:
Caregivers did not perceive dementia as an overwhelming challenge; instead viewed it as a part of the ageing process. Caring for dementia was being done by family members as a collective responsibility with task-sharing. The caregivers primarily relied on their usual physician for the continuity of dementia care and took utmost precautions to prevent exposure to COVID-19 risk. However, they found it more challenging to ensure adequate care for the multiple illnesses (multimorbidity) coexisting with dementia. Towards this, they adopted all possible measures to keep the chronic conditions under control, lest the vulnerability to COVID-19 infection might heighten. The fear of visiting a hospital, prevailing restrictions in mobility, and diverted attention of health systems to pandemic containment created impediments towards maintaining multimorbidity care. The support of local administration, neighbourhood pharmacy and diagnostic laboratories and teleconsultation with the physicians were vital for care continuity. Caregivers adapted by reducing or deferring physical consultation and seeking treatment via telephonic advice of the treating physicians. Our findings suggest leveraging digitally enabled health care technology and augmenting caregiver activation for home-based dementia care to cruise through any similar catastrophic situations.
Integrating mental health care in primary healthcare settings is a compelling strategy to address the mental health treatment gap in low- and middle-income countries (LMICs). Collaborative Care is the integrated care model with the most evidence supporting its effectiveness, but most research has been conducted in high-income countries. Efforts to implement this complex multi-component model at scale in LMICs will be enhanced by understanding the model components that have been effective in LMIC settings. Following Cochrane Rapid Reviews Methods Group recommendations, we conducted a rapid review to identify studies of the effectiveness of Collaborative Care for priority adult mental disorders of mhGAP (mood and anxiety disorders, psychosis, substance use disorders and epilepsy) in outpatient medical settings in LMICs. Article screening and data extraction were performed using Covidence software. Data extraction by two authors utilized a checklist of key components of effective interventions. Information was aggregated to examine how frequently the components were applied. Our search yielded 25 articles describing 20 Collaborative Care models that treated depression, anxiety, schizophrenia, alcohol use disorder or epilepsy in nine different LMICs. Fourteen of these models demonstrated statistically significantly improved clinical outcomes compared to comparison groups. Successful models shared key structural and process-of-care elements: a multi-disciplinary care team with structured communication; standardized protocols for evidence-based treatments; systematic identification of mental disorders, and a stepped-care approach to treatment intensification. There was substantial heterogeneity across studies with respect to the specifics of model components, and clear evidence of the importance of tailoring the model to the local context. This review provides evidence that Collaborative Care is effective across a range of mental disorders in LMICs. More work is needed to demonstrate population-level and longer-term outcomes, and to identify strategies that will support successful and sustained implementation in routine clinical settings.
According to the World Health Organization, addressing the mental health care gap for adolescents, especially in low-resource contexts, is a priority. Evidence-based assessment is crucial for selecting treatment strategies and for quality management.
Objectives
To develop a digital platform for evidence-based assessments and implement it in different low-resource settings.
Methods
The project operates according to the principles of digital development (https://digitalprinciples.org/), including designing with the user, user testing, understanding the ecosystem, resusing software and being open source, think about sustainability and addressing privacy and security.
Results
Different implementation contexts (in Tanzania, Kosovo and Chile) will be presented.
The learned lessons will be presented to the audience.
Conclusions
MHIRA is a promising tool that helps bridge the gap regarding adolescent mental health in low-resource settings. Challenges include the clinicans attitude towards evidence based assessment, sustainability of the project and integration with the existing information technology eco-system and regulations.
Low and middle-income countries like India anticipate rapid population aging and increases in dementia burden. In India, dementia screening scales originally developed in other contexts need to be assessed for feasibility and validity, given the number of different languages and varying levels of literacy and education.
Method:
Using data from the Longitudinal Aging Study in India-Diagnostic Assessment of Dementia (N = 4,028), we characterize the performance of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). We described patterns and correlates of missingness, evaluated the psychometric properties of the scale, and assessed criterion validity against the Hindi Mental State Examination (HMSE) using linear regression.
Results:
Several IQCODE items had high levels of missingness, which was associated with urbanicity, respondent’s gender, and informant’s generation (same vs. younger generation). Full IQCODE scores showed strong criterion validity against the HMSE; each 1-point increase in IQCODE score was associated with a 3.03-point lower score on the HMSE, controlling for age, gender, and urbanicity. The statistically significant association between IQCODE and HMSE was stronger in urban than rural settings (p-value for interaction = 0.04). Associations between IQCODE and HMSE remained unchanged after removing the three items with the highest levels of differential missingness (remembering addresses and telephone numbers, ability to work with familiar machines, ability to learn to use new gadget or machine).
Conclusion:
Findings raise questions about the value of including items with high proportions of missingness, which may signal cultural irrelevance, while removing them did not affect criterion validity.
Infant and under-five mortality rates in low- and middle-income countries (LMIC) can be reduced by encouraging behaviours such as sleeping under insecticide-treated bed nets, exclusive breast-feeding for the first 6 months, regular handwashing, etc. Community-based volunteer or peer-to-peer mechanisms are cost-effective ways of promoting these lifesaving practices. However, the sustainability and reach of community-based behaviour change promotion remains a challenge. Our inquiry focuses on the utilisation, by non-governmental organisations (NGO), of Care Groups, a peer-to-peer behaviour change intervention. We asked: What are the mechanisms and contexts by which Care Groups achieve social and behavioural change in nutrition, health and other sectors?
Design:
Realist synthesis reviewing forty-two texts that contained empirical evidence about Care Group interventions.
Setting:
LMIC.
Participants:
We held consultations with a research reference group, which included Care Group and nutrition experts, and Care Group – implementing NGO staff in Malawi.
Results:
Different types of motivation drive the establishment and the sustainability of peer group interventions. A certain amount of motivation was derived from the resources provided by the NGO establishing the Care Groups. Subsequently, both volunteers and neighbourhood group members were motivated by the group dynamics and mutual support, as well as support from the wider community. Finally, volunteers and group members alike became self-motivated by their experience of being involved in group activities.
Conclusions:
When designing and implementing community-based behaviour change interventions, awareness of the multi-directional nature of the motivating drivers that are experienced by peer- or community group members is important, to optimise these groups’ reach and sustainability.
In 2020, European Network for Health Technology Assessment (EUnetHTA) published a relative effectiveness analysis (REA) of Pretomanid in combination with Bedaquiline and Linezolid for the treatment of extensively drug-resistant (XDR) or treatment-intolerant or nonresponsive multidrug-resistant (MDR) tuberculosis (TB) (REA PTJA14). This REA may have a significant value for low- and middle-income countries (LMICs) outside Europe, particularly those with a high burden of drug-resistant TB. This commentary focuses on whether the REA PTJA14 can be transferred and to what extent a REA can be translated to LMICs context outside Europe. We found that the assessments on the clinical effectiveness and risks of bias reported in REA PTJA14 are useful for LMICs outside Europe. The highly standardized management of TB will support the applicability of the REA to LMICs outside of Europe. Transferring this REA can reduce workload and efficiently use limited resources to conduct health technology assessment (HTA). However, the transfer should consider several critical issues, including variations in health system delivery and clinical practice and setting-specific constraints. In the TB context, the differences in the current standard treatment for XDR or nonresponsive MDR TB, resources availability for drug-resistant TB management, and how healthcare is delivered in the countries can complicate the applicability of the REA PTJA14. Given that LMICs have limitations in doing HTA, it is now critical to develop standard guidelines for transferring REA or other HTA results from high-income countries or other LMICs to maximize the benefits of the REA for LMICs outside Europe.
Mental health problems often begin in early childhood. However, the associations of various individual and contextual risk factors with mental health in the preschool period are incompletely understood, particularly in low- to middle-income countries (LMICs) where multiple risk factors co-exist. To address this gap, we prospectively followed 981 children in a South African birth cohort, the Drakenstein Child Health Study, assessing pre-and postnatal exposures and risk factors. The predictive value of these factors for child mental health (assessed by the Child Behavior Checklist) was modeled using structural equation modeling. We identified two key pathways to greater externalizing behavior: (1) prenatal exposure to substances (alcohol and smoking) directly predicted increased externalizing behavior (β = 0.24, p < 0.001); this relationship was partially mediated by an aspect of infant temperament (negative emotionality; β = 0.05, p = 0.016); (2) lower socioeconomic status and associated maternal prenatal depression predicted more coercive parenting, which in turn predicted increased externalizing behavior (β = 0.18, p = 0.001). Findings in this high-risk LMIC cohort cohere with research from higher income contexts, and indicate the need to introduce integrated screening and intervention strategies for maternal prenatal substance use and depression, and promoting positive parenting across the preschool period.
We explored the ‘coping reflections’ of elderly couples living alone (without any other family members) during the COVID-19 pandemic in urban Odisha, India.
Background:
Evidence worldwide suggests that older people are at increased risk from COVID-19 adverse outcomes and experience greater stress. In our previous community-based study urban dwelling, particularly elderly participants, and living alone reported higher pandemic-associated health care challenges than their rural and residing-with-family counterparts. We intended to explore how the elderly couples living alone coped through this challenging yet stressful situation during the COVID-19 pandemic and what were their key strategies adopted toward this.
Methods:
We conducted telephonic in-depth interviews (IDIs) with 11 urban elderly couples living alone in Bhubaneswar city of Odisha, India using a semi-structured interview guide. All IDIs were digitally recorded, transcribed into the original language, and translated to English. We used a thematic approach for analysis.
Findings:
Four themes emerged: (1) Risk appraisal and feeling vulnerable; (2) Safeguarding against COVID-19; (3) Managing routine health care and emergency; and (4) Pursuing mental and psychological well-being. Although fear, anxiety, and loneliness were continuing stressors, many of them learnt to adapt and emerge resilient with the evolving situation. Various elements at the individual, family, community, and organizational levels were conducive to better coping. The companionship and complementary support of spouse, self-health literacy, and digital efficacy, virtual connectedness with family and friends, availability of community pharmacy and diagnostic services in the vicinity, support of neighbors, reengaging with creative leisure time activity, and assurance of a responsive administration at the time of emergency helped them to cruise through the pandemic. Furthermore, watching the re-telecast of prime time serials made these elderly fondly remember their own youth time memories. Self-health monitoring, indoor physical exercise, spiritual practices, continuation of previous prescription, telephonic advice of physicians were add-on strategies that facilitated their physical and psychological well-being during the pandemic.
The mental health of slum residents is under-researched globally, and depression is a significant source of worldwide morbidity. Brazil's large slum-dwelling population is often considered part of a general urban-poor demographic. This study aims to identify the prevalence and distribution of depression in Brazil and compare mental health inequalities between slum and non-slum populations.
Methods
Data were obtained from Brazil's 2019 National Health Survey. Slum residence was defined based on the UN-Habitat definition for slums and estimated from survey responses. Doctor-diagnosed depression, Patient Health Questionnaire (PHQ-9)-screened depression and presence of undiagnosed depression (PHQ-9-screened depression in the absence of a doctor's diagnosis) were analysed as primary outcomes, alongside depressive symptom severity as a secondary outcome. Prevalence estimates for all outcomes were calculated. Multivariable logistic regression models were used to investigate the association of socioeconomic characteristics, including slum residence, with primary outcomes. Depressive symptom severity was analysed using generalised ordinal logistic regression.
Results
Nationally, the prevalence of doctor diagnosed, PHQ-9 screened and undiagnosed depression were 9.9% (95% confidence interval (CI): 9.5–10.3), 10.8% (95% CI: 10.4–11.2) and 6.9% (95% CI: 6.6–7.2), respectively. Slum residents exhibited lower levels of doctor-diagnosed depression than non-slum urban residents (8.6%; 95% CI: 7.9–9.3 v. 10.7%; 95% CI: 10.2–11.2), while reporting similar levels of PHQ-9-screened depression (11.3%; 95% CI: 10.4–12.1 v. 11.3%; 95% CI: 10.8–11.8). In adjusted regression models, slum residence was associated with a lower likelihood of doctor diagnosed (adjusted odds ratio (adjusted OR): 0.87; 95% CI: 0.77–0.97) and PHQ-9-screened depression (adjusted OR: 0.87; 95% CI: 0.78–0.97). Slum residents showed a greater likelihood of reporting less severe depressive symptoms. There were significant ethnic/racial disparities in the likelihood of reporting doctor-diagnosed depression. Black individuals were less likely to report doctor-diagnosed depression (adjusted OR: 0.66; 95% CI: 0.57–0.75) than white individuals. A similar pattern was observed in Mixed Black (adjusted OR: 0.72; 95% CI: 0.66–0.79) and other (adjusted OR: 0.63; 95% CI: 0.45–0.88) ethnic/racial groups. Slum residents self-reporting a diagnosis of one or more chronic non-communicable diseases had greater odds of exhibiting all three primary depression outcomes.
Conclusions
Substantial inequalities characterise the distribution of depression in Brazil including in slum settings. People living in slums may have lower diagnosed rates of depression than non-slum urban residents. Understanding the mechanisms behind the discrepancy in depression diagnosis between slum and non-slum populations is important to inform health policy in Brazil, including in addressing potential gaps in access to mental healthcare.
Patient and public involvement/engagement (PPI/E) in public health research and health technology assessment (HTA) in high-income countries (HICs) have significantly increased over the past decade. PPI/E helps to improve research and HTA, ultimately benefitting patients and service users. PPI/E is a very new concept in many low- and middle-income countries (LMICs). This paper considers the importance of PPI in public health research and HTA in the development and implementation of technology in the health sector in South Asia. Currently, in this region, health technology is frequently adopted from HICs without local research and HTA. It also discusses the importance of local co-creation of technology to reflect the needs of users within a culturally appropriate setting. It is important for LMIC-based researchers to understand the potential of PPI/E and how it can contribute to it to improve health care and research, especially perhaps in the era of COVID-19.
Personality disorders are now internationally recognised as a mental health priority. Nevertheless, there are no systematic reviews examining the global prevalence of personality disorders.
Aims
To calculate the worldwide prevalence of personality disorders and examine whether rates vary between high-income countries and low- and middle-income countries (LMICs).
Method
We systematically searched PsycINFO, MEDLINE, EMBASE and PubMed from January 1980 to May 2018 to identify articles reporting personality disorder prevalence rates in community populations (PROSPERO registration number: CRD42017065094).
Results
A total of 46 studies (from 21 different countries spanning 6 continents) satisfied inclusion criteria. The worldwide pooled prevalence of any personality disorder was 7.8% (95% CI 6.1–9.5). Rates were greater in high-income countries (9.6%, 95% CI 7.9–11.3%) compared with LMICs (4.3%, 95% CI 2.6–6.1%). In univariate meta-regressions, significant heterogeneity was partly attributable to study design (two-stage v. one-stage assessment), county income (high-income countries v. LMICs) and interview administration (clinician v. trained graduate). In multiple meta-regression analysis, study design remained a significant predictor of heterogeneity. Global rates of cluster A, B and C personality disorders were 3.8% (95% CI 3.2, 4.4%), 2.8% (1.6, 3.7%) and 5.0% (4.2, 5.9%).
Conclusions
Personality disorders are prevalent globally. Nevertheless, pooled prevalence rates should be interpreted with caution due to high levels of heterogeneity. More large-scale studies with standardised methodologies are now needed to increase our understanding of population needs and regional variations.