In their own words: Perspectives of IPV survivors on obtaining support within the healthcare system.

BACKGROUND: Almost half of all women in the US experience intimate partner violence (IPV) in their lifetime. The US Preventive Services Task Force recommends IPV screening paired with intervention for women of reproductive age. We aim to understand clinical practices and policies that are beneficial, detrimental, or insufficient to support survivors of IPV in a safety-net healthcare system. METHODS: We sampled 45 women who were 18-64 years old, had experienced IPV within the prior year and were patients in the San Francisco Health Network. We conducted in-depth, semi-structured interviews to elicit their perspectives on disclosing IPV and obtaining support within the healthcare system. We analyzed our data using thematic analysis and grounded theory practices informed by ecological systems theory. FINDINGS: We identified four themes regarding factors that impeded or facilitated discussing and addressing IPV across interpersonal and systemic levels relating to relationship-building, respect, autonomy and resources. (1) Interpersonal barriers included insufficient attention to relationship-building, lack of respect or concern for survivor circumstances, and feeling pressured to disclose IPV or to comply with clinicians' recommended interventions. (2) Interpersonal facilitators consisted of patient-centered IPV inquiry, attentive listening, strength-based counseling and transparency regarding confidentiality. (3) Systemic barriers such as visit time limitations, clinician turn-over and feared loss of autonomy from involvement of governmental systems leading to separation from children or harm to partners, negatively affected interpersonal dynamics. (4) Systemic facilitators involved provision of resources through IPV universal education, on-site access to IPV services, and community partnerships. CONCLUSIONS: Women experiencing IPV in our study reported that relationship-building, respect, autonomy, and IPV-related resources were essential components to providing support, promoting safety, and enabling healing in the healthcare setting. Successful trauma-informed transformation of healthcare systems must optimize interpersonal and systemic factors that improve survivor wellbeing while eliminating barriers.

Characteristics of positive feedback provided by UK health service users: content analysis of examples from two databases.

BACKGROUND: Most feedback received by health services is positive. Our systematic scoping review mapped all available empirical evidence for how positive patient feedback creates healthcare change. Most included papers did not provide specific details on positive feedback characteristics. OBJECTIVES: Describe positive feedback characteristics by (1) developing heuristics for identifying positive feedback; (2) sharing annotated feedback examples; (3) describing their positive content. METHODS: 200 items were selected from two contrasting databases: (1) https://careopinion.org.uk/; (2) National Health Service (NHS) Friends and Family Test data collected by an NHS trust. Preliminary heuristics and positive feedback categories were developed from a small convenience sample, and iteratively refined. RESULTS: Categories were identified: positive-only; mixed; narrative; factual; grateful. We propose a typology describing tone (positive-only, mixed), form (factual, narrative) and intent (grateful). Separating positive and negative elements in mixed feedback was sometimes impossible due to ambiguity. Narrative feedback often described the cumulative impact of interactions with healthcare providers, healthcare professionals, influential individuals and community organisations. Grateful feedback was targeted at individual staff or entire units, but the target was sometimes ambiguous. CONCLUSION: People commissioning feedback collection systems should consider mechanisms to maximise utility by limiting ambiguity. Since being enabled to provide narrative feedback can allow contributors to make contextualised statements about what worked for them and why, then there may be trade-offs to negotiate between limiting ambiguity, and encouraging rich narratives. Groups tasked with using feedback should plan the human resources needed for careful inspection, and consider providing narrative analysis training.

Is personal recovery a transdiagnostic concept? Testing the fit of the CHIME framework using narrative experiences.

BACKGROUND: Personal recovery is operationalized in the CHIME framework (connectedness, hope, identity, meaning in life, and empowerment) of recovery processes. CHIME was initially developed through analysis of experiences of people mainly with psychosis, but it might also be valid for investigating recovery in mood-related, autism and other diagnoses. AIMS: To examine whether personal recovery is transdiagnostic by studying narrative experiences in several diagnostic groups. METHODS: Thirty recovery narratives, retrieved from "Psychiatry Story Bank" (PSB) in the Netherlands, were analyzed by three coders using CHIME as a deductive framework. New codes were assigned using an inductive approach and member checks were performed after consensus was reached. RESULTS: All five CHIME dimensions were richly reported in the narratives, independent of diagnosis. Seven new domains were identified, such as "acknowledgement by diagnosis" and "gaining self-insight". These new domains were evaluated to fit well as subdomains within the original CHIME framework. On average, 54.2% of all narrative content was classified as experienced difficulties. CONCLUSIONS: Recovery stories from different diagnostic perspectives fit well into the CHIME framework, implying that personal recovery is a transdiagnostic concept. Difficulties should not be ignored in the context of personal recovery based on its substantial presence in the recovery narratives.

The Implementation of Recommender Systems for Mental Health Recovery Narratives: Evaluation of Use and Performance.

BACKGROUND: Recommender systems help narrow down a large range of items to a smaller, personalized set. NarraGive is a first-in-field hybrid recommender system for mental health recovery narratives, recommending narratives based on their content and narrator characteristics (using content-based filtering) and on narratives beneficially impacting other similar users (using collaborative filtering). NarraGive is integrated into the Narrative Experiences Online (NEON) intervention, a web application providing access to the NEON Collection of recovery narratives. OBJECTIVE: This study aims to analyze the 3 recommender system algorithms used in NarraGive to inform future interventions using recommender systems for lived experience narratives. METHODS: Using a recently published framework for evaluating recommender systems to structure the analysis, we compared the content-based filtering algorithm and collaborative filtering algorithms by evaluating the accuracy (how close the predicted ratings are to the true ratings), precision (the proportion of the recommended narratives that are relevant), diversity (how diverse the recommended narratives are), coverage (the proportion of all available narratives that can be recommended), and unfairness (whether the algorithms produce less accurate predictions for disadvantaged participants) across gender and ethnicity. We used data from all participants in 2 parallel-group, waitlist control clinical trials of the NEON intervention (NEON trial: N=739; NEON for other [eg, nonpsychosis] mental health problems [NEON-O] trial: N=1023). Both trials included people with self-reported mental health problems who had and had not used statutory mental health services. In addition, NEON trial participants had experienced self-reported psychosis in the previous 5 years. Our evaluation used a database of Likert-scale narrative ratings provided by trial participants in response to validated narrative feedback questions. RESULTS: Participants from the NEON and NEON-O trials provided 2288 and 1896 narrative ratings, respectively. Each rated narrative had a median of 3 ratings and 2 ratings, respectively. For the NEON trial, the content-based filtering algorithm performed better for coverage; the collaborative filtering algorithms performed better for accuracy, diversity, and unfairness across both gender and ethnicity; and neither algorithm performed better for precision. For the NEON-O trial, the content-based filtering algorithm did not perform better on any metric; the collaborative filtering algorithms performed better on accuracy and unfairness across both gender and ethnicity; and neither algorithm performed better for precision, diversity, or coverage. CONCLUSIONS: Clinical population may be associated with recommender system performance. Recommender systems are susceptible to a wide range of undesirable biases. Approaches to mitigating these include providing enough initial data for the recommender system (to prevent overfitting), ensuring that items can be accessed outside the recommender system (to prevent a feedback loop between accessed items and recommended items), and encouraging participants to provide feedback on every narrative they interact with (to prevent participants from only providing feedback when they have strong opinions).

Perception and appropriation of a web-based recovery narratives intervention: qualitative interview study.

Introduction: Mental health recovery narratives are widely available to the public, and can benefit people affected by mental health problems. The NEON Intervention is a novel web-based digital health intervention providing access to the NEON Collection of recovery narratives. The NEON Intervention was found to be effective and cost-effective in the NEON-O Trial for people with nonpsychosis mental health problems (ISRCTN63197153), and has also been evaluated in the NEON Trial for people with psychosis experience (ISRCTN11152837). We aimed to document NEON Intervention experiences, through an integrated process evaluation. Methods: Analysis of interviews with a purposive sample of intervention arm participants who had completed trial participation. Results: We interviewed 34 NEON Trial and 20 NEON-O Trial participants (mean age 40.4 years). Some users accessed narratives through the NEON Intervention almost daily, whilst others used it infrequently or not at all. Motivations for trial participation included: exploring the NEON Intervention as an alternative or addition to existing mental health provision; searching for answers about mental health experiences; developing their practice as a mental health professional (for a subset who were mental health professionals); claiming payment vouchers. High users (10 + narrative accesses) described three forms of appropriation: distracting from difficult mental health experiences; providing an emotional boost; sustaining a sense of having a social support network. Most participants valued the scale of the NEON Collection (n = 659 narratives), but some found it overwhelming. Many felt they could describe the characteristics of a desired narrative that would benefit their mental health. Finding a narrative meeting their desires enhanced engagement, but not finding one reduced engagement. Narratives in the NEON Collection were perceived as authentic if they acknowledged the difficult reality of mental health experiences, appeared to describe real world experiences, and described mental health experiences similar to those of the participant. Discussion: We present recommendations for digital health interventions incorporating collections of digital narratives: (1) make the scale and diversity of the collection visible; (2) provide delivery mechanisms that afford appropriation; (3) enable contributors to produce authentic narratives; (4) enable learning by healthcare professionals; (5) consider use to address loneliness.

Effectiveness and cost-effectiveness of online recorded recovery narratives in improving quality of life for people with non-psychotic mental health problems: a pragmatic randomized controlled trial.

Narratives describing first-hand experiences of recovery from mental health problems are widely available. Emerging evidence suggests that engaging with mental health recovery narratives can benefit people experiencing mental health problems, but no randomized controlled trial has been conducted as yet. We developed the Narrative Experiences Online (NEON) Intervention, a web application providing self-guided and recommender systems access to a collection of recorded mental health recovery narratives (n=659). We investigated whether NEON Intervention access benefited adults experiencing non-psychotic mental health problems by conducting a pragmatic parallel-group randomized trial, with usual care as control condition. The primary endpoint was quality of life at week 52 assessed by the Manchester Short Assessment (MANSA). Secondary outcomes were psychological distress, hope, self-efficacy, and meaning in life at week 52. Between March 9, 2020 and March 26, 2021, we recruited 1,023 participants from across England (the target based on power analysis was 994), of whom 827 (80.8%) identified as White British, 811 (79.3%) were female, 586 (57.3%) were employed, and 272 (26.6%) were unemployed. Their mean age was 38.4±13.6 years. Mood and/or anxiety disorders (N=626, 61.2%) and stress-related disorders (N=152, 14.9%) were the most common mental health problems. At week 52, our intention-to-treat analysis found a significant baseline-adjusted difference of 0.13 (95% CI: 0.01-0.26, p=0.041) in the MANSA score between the intervention and control groups, corresponding to a mean change of 1.56 scale points per participant, which indicates that the intervention increased quality of life. We also detected a significant baseline-adjusted difference of 0.22 (95% CI: 0.05-0.40, p=0.014) between the groups in the score on the "presence of meaning" subscale of the Meaning in Life Questionnaire, corresponding to a mean change of 1.1 scale points per participant. We found an incremental gain of 0.0142 quality-adjusted life years (QALYs) (95% credible interval: 0.0059 to 0.0226) and a £178 incremental increase in cost (95% credible interval: -£154 to £455) per participant, generating an incremental cost-effectiveness ratio of £12,526 per QALY compared with usual care. This was lower than the £20,000 per QALY threshold used by the National Health Service in England, indicating that the intervention would be a cost-effective use of health service resources. In the subgroup analysis including participants who had used specialist mental health services at baseline, the intervention both reduced cost (-£98, 95% credible interval: -£606 to £309) and improved QALYs (0.0165, 95% credible interval: 0.0057 to 0.0273) per participant as compared to usual care. We conclude that the NEON Intervention is an effective and cost-effective new intervention for people experiencing non-psychotic mental health problems.

Differences Between Online Trial Participants Who Have Used Statutory Mental Health Services and Those Who Have Not: Analysis of Baseline Data From 2 Pragmatic Trials of a Digital Health Intervention.

BACKGROUND: Digital health interventions (DHIs) are an established element of mental health service provision internationally. Regulators have positioned the best practice standard of evidence as an interventional study with a comparator reflective of standard care, often operationalized as a pragmatic trial. DHIs can extend health provision to those not currently using mental health services. Hence, for external validity, trials might openly recruit a mixture of people who have used mental health services and people who have not. Prior research has demonstrated phenomenological differences in mental health experience between these groups. Some differences between service users and nonservice users might influence the change created by DHIs; hence, research should systematically examine these differences to inform intervention development and evaluation work. This paper analyzes baseline data collected in the NEON (Narrative Experiences Online; ie, for people with experience of psychosis) and NEON-O (NEON for other [eg, nonpsychosis] mental health problems) trials. These were pragmatic trials of a DHI that openly recruited people who had used specialist mental health services and those who had not. All participants were experiencing mental health distress. NEON Trial participants had experienced psychosis in the previous 5 years. OBJECTIVE: This study aims to identify differences in baseline sociodemographic and clinical characteristics associated with specialist mental health service use for NEON Trial and NEON-O Trial participants. METHODS: For both trials, hypothesis testing was used to compare baseline sociodemographic and clinical characteristics of participants in the intention-to-treat sample who had used specialist mental health services and those who had not. Bonferroni correction was applied to significance thresholds to account for multiple testing. RESULTS: Significant differences in characteristics were identified in both trials. Compared with nonservice users (124/739, 16.8%), NEON Trial specialist service users (609/739, 82.4%) were more likely to be female (P<.001), older (P<.001), and White British (P<.001), with lower quality of life (P<.001) and lower health status (P=.002). There were differences in geographical distribution (P<.001), employment (P<.001; more unemployment), current mental health problems (P<.001; more psychosis and personality disorders), and recovery status (P<.001; more recovered). Current service users were more likely to be experiencing psychosis than prior service users. Compared with nonservice users (399/1023, 39%), NEON-O Trial specialist service users (614/1023, 60.02%) had differences in employment (P<.001; more unemployment) and current mental health problems (P<.001; more personality disorders), with lower quality of life (P<.001), more distress (P<.001), less hope (P<.001), less empowerment (P<.001), less meaning in life (P<.001), and lower health status (P<.001). CONCLUSIONS: Mental health service use history was associated with numerous differences in baseline characteristics. Investigators should account for service use in work to develop and evaluate interventions for populations with mixed service use histories. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s13063-020-04428-6.

Self-Compassion Interventions to Target Secondary Traumatic Stress in Healthcare Workers: A Systematic Review.

Healthcare professionals' wellbeing can be adversely affected by the intense demands of, and the secondary traumatic stress associated with, their job. Self-compassion is associated with positive wellbeing outcomes across a variety of workforce populations and is potentially an important skill for healthcare workers, as it offers a way of meeting one's own distress with kindness and understanding. This systematic review aimed to synthesise and evaluate the utility of self-compassion interventions in reducing secondary traumatic stress in a healthcare worker population. Eligible articles were identified from research databases, including ProQuest, PsycINFO, ScienceDirect, Google Scholar, and EBSCO. The quality of non-randomised and randomised trials was assessed using the Newcastle-Ottawa Scale. The literature search yielded 234 titles, from which 6 studies met the inclusion criteria. Four studies reported promising effects of self-compassion training for secondary traumatic stress in a healthcare population, although these did not use controls. The methodological quality of these studies was medium. This highlights a research gap in this area. Three of these four studies recruited workers from Western countries and one recruited from a non-Western country. The Professional Quality of Life Scale was used to evaluate secondary traumatic stress in all studies. The findings show preliminary evidence that self-compassion training may improve secondary traumatic stress in healthcare professional populations; however, there is a need for greater methodological quality in this field and controlled trials. The findings also show that the majority of research was conducted in Western countries. Future research should focus on a broader range of geographical locations to include non-Western countries.

Statistical analysis plans for two randomised controlled trials of the Narrative Experiences Online (NEON) Intervention: impact of receiving recorded mental health recovery narratives on quality of life in people experiencing psychosis (NEON) and people experiencing non-psychosis mental health problems (NEON-O).

BACKGROUND: Mental health recovery narratives are a first-hand account of an individual's recovery from mental health distress, access to narratives can aid recovery. The NEON Intervention is a web-application providing access to a managed collection of narratives. We present the statistical analysis plan for assessing the effectiveness of the NEON Intervention in improving quality of life at 1-year post-randomisation. We pay particular focus on the statistical challenges encountered due to the online nature of this trial. METHODS AND DESIGN: The NEON Intervention is assessed in two trial populations, one for people with experience of psychosis in the last 5 years, and mental health distress in the last six months (NEON Trial) and one for people with experience of non-psychosis mental health problems (NEON-O Trial). Both NEON trials are two-arm randomised controlled superiority trials comparing the effectiveness of the NEON Intervention with usual care. The target sample size is 684 randomised participants for NEON and 994 for NEON-O. Participants were randomised centrally in a 1:1 ratio. RESULTS: The primary outcome is the mean score of subjective items on the Manchester Short Assessment of Quality-of-Life questionnaire (MANSA) at 52 weeks. Secondary outcomes are scores from the Herth Hope Index, Mental Health Confidence Scale, Meaning of Life questionnaire, CORE-10 questionnaire and Euroqol 5-Dimension 5-Level (EQ-5D-5L). CONCLUSION: This manuscript is the statistical analysis plan (SAP) for the NEON trials. Any post hoc analysis, such as those requested by journal reviewers will be clearly labelled as such in the final trial reporting. Trial registration Both trials were prospectively registered. NEON Trial: ISRCTN11152837, registered on 13 August 2018. NEON-O Trial: ISRCTN63197153, registered on 9 January 2020.

Assessing Diversity and Inclusivity is the Next Frontier in Mental Health Recovery Narrative Research and Practice.

Demand for digital health interventions is increasing in many countries. The use of recorded mental health recovery narratives in digital health interventions is becoming more widespread in clinical practice. Mental health recovery narratives are first-person lived experience accounts of recovery from mental health problems, including struggles and successes over time. Helpful impacts of recorded mental health recovery narratives include connectedness with the narrative and validation of experiences. Possible harms include feeling disconnected and excluded from others. Diverse narrative collections from many types of narrators and describing multiple ways to recover are important to maximize the opportunity for service users to benefit through connection and to minimize the likelihood of harm. Mental health clinicians need to know whether narrative collections are sufficiently diverse to recommend to service users. However, no method exists for assessing the diversity and inclusivity of existing or new narrative collections. We argue that assessing diversity and inclusivity is the next frontier in mental health recovery narrative research and practice. This is important, but methodologically and ethically complex. In this viewpoint, we propose and evaluate one diversity and two inclusivity assessment methods. The diversity assessment method involves use of the Simpson Diversity Index. The two inclusivity assessment methods are based on comparator demographic rates and arbitrary thresholds, respectively. These methods were applied to four narrative collections as a case study. Refinements are needed regarding a narrative assessment tool in terms of its practicality and cultural adaptation.