Quality of life in patients with central centrifugal cicatricial alopecia: a preliminary study.

Central centrifugal cicatricial alopecia (CCCA) is a common cause of hair loss among patients of African and/or Caribbean descent, and there is little data exploring the quality of life of patients with this condition. This pilot demonstrates that CCCA has a significant impact on overall quality of life, and patients may benefit from resources to address psychosocial aspects of this diagnosis.

The Use of Partial Least Squares-Path Modelling to Understand the Impact of Ambivalent Sexism on Violence-Justification among Adolescents.

Gender violence is generally conceived as a phenomenon concerning only adults. Nonetheless, it is also perpetrated within teenagers' relationships, as many empirical studies have shown. We therefore have focused our attention on a non-probabilistic sample consisting of 400 adolescents living in Naples (Italy), to study the association between sexism and the justification of violent attitudes. Generally, sexism is recognised as a discriminatory attitude towards people, based on their biological sex. However, it is conventional to talk about sexism as a prejudice against women. The Ambivalent Sexism Inventory (ASI) for adolescents was used to evaluate the two dimensions of ambivalent sexism, i.e., hostile sexism (HS) and benevolent sexism (BS). Moreover, the questionnaire regarding attitudes towards diversity and violence (CADV) was administered to assess participants' attitudes towards violence. A Partial Least Square-Second Order Path Model reveals that girls' ambivalent sexism is affected more by benevolent sexism than hostile sexism. On the contrary, among boys, hostile sexism has a higher impact. Finally, benevolent sexist girls justify domestic violence more than boys do.

Quality of life in South African Black women with alopecia: a pilot study.

BACKGROUND: Alopecia has been shown to have a significant impact on quality of life (QoL), particularly in women. However, there are no data for African populations. This study was conducted to pilot an original questionnaire and a model-based methodology to measure QoL and its determinants in a sample of South African Black women of African ancestry with alopecia. METHODS: Fifty participants aged 21-79 years were randomly chosen from patients presenting to dermatologists with alopecia. We used an original questionnaire consisting of 24 items grouped into those assessing the respective impacts of subjective symptoms, objective signs, and relationship issues, measured on a four-level scale. These were then combined using component-based structural equation modeling to return a QoL index (QLI) and to rank the factors contributing to this. RESULTS: On a scale ranging from 0 (high QoL) to 100 (severely decreased QoL), we found a mean QLI of 67.7. The negative impact of alopecia on QoL was higher in younger patients than older patients. The factors with the highest impact were those relating to the subjective experience of alopecia and self-image (56.3%), followed by those relevant to relationships and interaction with other people (34.8%). The presence of objective symptoms and signs such as pruritus was of minor importance (8.9%). CONCLUSIONS: Although not a life-threatening condition, alopecia may seriously impair QoL, particularly by inducing anxiety and reducing self-esteem among African women. Healthcare practitioners should be mindful of this and intervene appropriately to mitigate these effects.

Partial least squares path modelling for the evaluation of patients' satisfaction after thoracic surgical procedures.

OBJECTIVE: Patient satisfaction can be measured by criteria inspired by currently available marketing research methods. Among the latter, qualitative methods can be performed on limited population samples and be based on latent variables, i.e., variables that are not directly observed but deducted from mathematical analysis (i.e., quality of life). Qualitative research methods include the partial least squares (PLS) path modelling aimed at defining optimal linear relations among latent variables in order to assemble the best set of predictions. METHODS: In the February-May 2007 period, 73 patients (41 males and 32 females) consecutively discharged from the Division of Thoracic Surgery of the National Cancer Institute at Naples underwent an adaptation of the PLS path modelling by accepting to file an itemized questionnaire on 29 different aspects of hospitalization. The sampled population represented about 32% of all patients operated by a single surgeon and about 21% of all patients admitted to a 12-bed thoracic surgical ward in 2007. Five categories of performance were identified, i.e., quality of the facilities, quality and clarity of provided Information, quality of relationship with surgeons and nurses, quality of the received care, overall patient satisfaction. RESULTS: During the analyzed period, the overall patient satisfaction reached 91% (+/-15). The mean scores were 62% (+/-33), 80% (+/-28), 84% (+/-21), 81% (+/-19), 88% (+/-15) for ward facilities, information provided, relationship with personnel, clinical services, and, perceived quality, respectively. In addition, overall perceived quality, relationship with personnel and the provision of information were the variables with greatest positive impact on patient satisfaction. Conversely, waiting times for radiological procedures, quality of meals and duration of visiting hours adversely affected the level of satisfaction. CONCLUSIONS: In the setting of a thorough audit of current clinical practice, PLS path modelling may represent another valuable tool to measure quality in the setting of managed health care since it allows for the identification of areas where the service can be improved.