Dataset Information

Half Empty and Half Full? Biased Perceptions of Compassionate Love and Effects of Dyadic Complementarity.

ABSTRACT: The prevailing theory on relationship judgments for interaction attributes suggests individuals tend to underestimate a romantic partner's expressions of compassionate love and that such underestimation is beneficial for the relationship. Yet, limited research has incorporated dyadic perspectives to assess how biased perceptions are associated with both partners' outcomes. In two daily studies of couples, we used distinct analytical approaches (Truth and Bias Model; Dyadic Response Surface Analysis) to inform perspectives on how biased perceptions are interrelated and predict relationship satisfaction. Consistent with prior research, people demonstrated an underestimation bias. However, there were differential effects of biased perceptions for actors versus partners: Underestimation predicted lower actor satisfaction but generally higher satisfaction for partners. Furthermore, we find evidence for complementarity effects: partners' directional biases were inversely related, and couples were more satisfied when partners had opposing patterns of directional bias. Findings help integrate theoretical perspectives on the adaptive role of biased relationship perceptions.

SUBMITTER: Kim JJ

PROVIDER: S-EPMC11367802 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature

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Half Empty <i>and</i> Half Full? Biased Perceptions of Compassionate Love and Effects of Dyadic Complementarity.

Kim James J JJ Reis Harry T HT Maniaci Michael R MR Joel Samantha S

Personality & social psychology bulletin 20230526 10

The prevailing theory on relationship judgments for interaction attributes suggests individuals tend to underestimate a romantic partner's expressions of compassionate love and that such underestimation is beneficial for the relationship. Yet, limited research has incorporated dyadic perspectives to assess how biased perceptions are associated with both partners' outcomes. In two daily studies of couples, we used distinct analytical approaches (Truth and Bias Model; Dyadic Response Surface Analy ...[more]

PMID: 37232561

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Project description:BackgroundClaims databases are generally considered inadequate for obesity research due to suboptimal capture of body mass index (BMI) measurements. This might not be true for bariatric surgery because of reimbursement requirements and changes in coding systems. We assessed the availability and validity of claims-based weight-related diagnosis codes among bariatric surgery patients.MethodsWe identified three nested retrospective cohorts of adult bariatric surgery patients who underwent adjusted gastric banding, Roux-en-Y gastric bypass, or sleeve gastrectomy between January 1, 2011 and June 30, 2018 using different components of OptumLabs® Data Warehouse, which contains linked de-identified claims and electronic health records (EHRs). We measured the availability of claims-based weight-related diagnosis codes in the 6-month preoperative and 1-year postoperative periods in the main cohort identified in the claims data. We created two claims-based algorithms to classify the presence of severe obesity (a commonly used cohort selection criterion) and categorize BMI (a commonly used baseline confounder or postoperative outcome). We evaluated their performance by estimating sensitivity, specificity, positive predictive value, negative predictive value, and weighted kappa in two sub-cohorts using EHR-based BMI measurements as the reference.ResultsAmong the 29,357 eligible patients identified using claims only, 28,828 (98.2%) had preoperative weight-related diagnosis codes, either granular indicating BMI ranges or nonspecific denoting obesity status. Among the 27,407 patients with granular preoperative codes, 12,346 (45.0%) had granular codes and 9355 (34.1%) had nonspecific codes in the 1-year postoperative period. Among the 3045 patients with both preoperative claims-based diagnosis codes and EHR-based BMI measurements, the severe obesity classification algorithm had a sensitivity 100%, specificity 71%, positive predictive value 100%, and negative predictive value 78%. The BMI categorization algorithm had good validity categorizing the last available preoperative or postoperative BMI measurements (weighted kappa [95% confidence interval]: preoperative 0.78, [0.76, 0.79]; postoperative 0.84, [0.80, 0.87]).ConclusionsClaims-based weight-related diagnosis codes had excellent validity before and after bariatric surgical operation but suboptimal availability after operation. Claims databases can be used for bariatric surgery studies of non-weight-related effectiveness and safety outcomes that are well-captured.

Project description:BackgroundGeneral Practitioners (GPs) face challenges when providing palliative care, including an ageing, multimorbid population, and falling GP numbers. A 'public health palliative care' approach, defined as "working with communities to improve people's experience of death, dying and bereavement", is gaining momentum. 'Compassionate communities' is one example, with a focus on linking professional health carers with supportive community networks. Primary care is central to the approach, which has been incorporated into United Kingdom GP palliative care guidance. No research to date, however, has investigated GP perspectives of these approaches. Our aim, therefore, was to explore GP perceptions of a public health approach to palliative care, and compassionate communities.MethodsGPs working in the United Kingdom were recruited through university teaching and research networks using snowball sampling. Purposive sampling ensured wide representation of gender, level of experience and practice populations. Semi-structured, digitally audio-recorded interviews were conducted with nine GPs. Interviews were transcribed verbatim, and thematic analysis was undertaken, informed by a qualitative descriptive methodology. Interviews continued until data saturation was reached.ResultsMost participants were unfamiliar with the term 'compassionate communities', but recognised examples within their practice. Three major themes with seven subthemes were identified: 1) Perceived potential of compassionate communities, including: 'maximising use of existing community services'; 'influencing health outside of healthcare'; and 'combatting taboo', 2) Perceived challenges of compassionate communities, including: 'patient safety'; 'limited capacity of the community'; 'limited capacity of general practice', and 'applicability of public health to palliative care', and 3) The role of the GP in compassionate communities.ConclusionsGPs recognised the importance of the wider community in caring for palliative care patients, however most were unfamiliar with the compassionate community approach. Participants held differing views regarding the application of the model, and the position of general practice within this. Further research into the approach's practical implementation, and exploring the views of other key stakeholders, would help establish the feasibility of compassionate communities in practice, and guide its future application.

Dataset Information

Half Empty and Half Full? Biased Perceptions of Compassionate Love and Effects of Dyadic Complementarity.

Publications

Half Empty <i>and</i> Half Full? Biased Perceptions of Compassionate Love and Effects of Dyadic Complementarity.

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