This study examined the relationships between the five dimensions of the Wilson and Cleary model of health-related quality of life and three self-reported adherence measures in persons living with HIV using a descriptive survey design. Data collection occurred in seven cities across the United States, including university-based AIDS clinics, private practices, public and for-profit hospitals, residential and day-care facilities, community-based organizations, and home care. The three dependent adherence measures studied were "medication nonadherence," "follows provider advice," and "missed appointments." The sample included 420 persons living with HIV disease with a mean age of 39 years of which 20% were women and 51% were white; subjects had a mean CD4 count of 321 mm3. HIV-positive clients with higher symptom scores, particularly depression, were more likely to be nonadherent to medication, not to follow provider advice, and to miss appointments. Participants who reported having a meaningful life, feeling comfortable and well cared for, using their time wisely, and taking time for important things were both more adherent to their medications and more likely to follow provider's advice. No evidence was found demonstrating any relationship between adherence and age, gender, ethnicity, or history of injection drug use. These findings support the need to treat symptoms, particularly depression, and to understand clients' perceptions of their environment as strategies to enhance adherence. A limitation of this study was that adherence was measured only by self-report; however, the study did expand the concept of adherence in HIV care beyond medication adherence to include following instructions and keeping appointments.

Background: Current practice is to perform a completion axillary lymph node dissection (ALND) for breast cancer patients with tumor-involved sentinel lymph nodes (SLNs), although fewer than half will have non-sentinel node (NSLN) metastasis. Our goal was to develop new models to quantify the risk of NSLN metastasis in SLN-positive patients and to compare predictive capabilities to another widely used model.

Symptom management for persons living with HIV disease is recognized as an extremely important component of care management. This article reports the validation of a new sign and symptom assessment tool designed to assess the intensity of HIV-related symptoms using two samples (study 1: n=247; study 2: n=686) of people living with HIV disease. Study 1 data were collected between 1994 and 1996 before the initiation of highly active antiretroviral therapy (HAART). Study 2 data were collected between 1997 and 1998 after the wide adoption of HAART therapy. The initial version of the Sign and Symptom Check-List for Persons with HIV Disease (SSC-HIV) included 41 signs and symptoms. This scale was submitted to a principal components factor analysis with a varimax rotation. The final solution reports six factors explaining 68.9% of the variance. The six symptom clusters (factors), the number of items in the factor, and the Cronbach alpha reliability estimates were: malaise/weakness/fatigue (six items, alpha=0.90); confusion/distress (four items, alpha=0.90); fever/chills (four items, alpha=0.85); gastrointestinal discomfort (four items, alpha=0. 81); shortness of breath (three items, alpha=0.79); and nausea/vomiting (three items, alpha=0.77). These six factors have strong reliability estimates and a stable factor structure that supports the construct validity of the 26-item instrument. Additional evidence supports the concurrent validity of the scale as well as its sensitivity to change over time. The final version of the SSC-HIV is a 26-item scale available for use by clinicians and researchers to measure the patient's self-report of HIV-related signs and symptoms.

This article describes the Client Adherence Profiling-Intervention Tailoring (CAP-IT) intervention designed to enhance adherence to HIV/AIDS medications and reports the results of a pilot study aimed at assessing the feasibility of CAP-IT. Initially, CAP-IT was designed to be implemented by nurse case managers during regularly scheduled home visits; it is currently under revision for use in an outpatient, ambulatory care setting. CAP-IT is an innovative, structured nursing assessment and care-planning activity that allows a standardized assessment of client needs and tailored highly active antiretroviral therapy adherence intervention strategies. CAP-IT is significantly different from the current standard nursing case management practice. Pilot study results in a sample of 10 home care patients suggests that clients have knowledge and skill deficits related to adherence and in the management of the side effects of medications. In addition, the pilot study supported the acceptability of the protocol to clients and the feasibility of integrating CAP-IT into nurse case manager practice. The pilot study results also provided evidence for the efficacy of CAP-IT. The next steps include testing CAP-IT in a randomized clinical trial to determine its effectiveness.

Our premise is that from the perspective of maximum flexibility of data usage by computer-based record (CPR) systems, existing nursing classification systems are necessary, but not sufficient, for representing important aspects of "what nurses do." In particular, we have focused our attention on those classification systems that represent nurses' clinical activities through the abstraction of activities into categories of nursing interventions. In this theoretical paper, we argue that taxonomic, combinatorial vocabularies capable of coding atomic-level nursing activities are required to effectively capture in a reproducible and reversible manner the clinical decisions and actions of nurses, and that, without such vocabularies and associated grammars, potentially important clinical process data is lost during the encoding process. Existing nursing intervention classification systems do not fulfill these criteria. As background to our argument, we first present an overview of the content, methods, and evaluation criteria used in previous studies whose focus has been to evaluate the effectiveness of existing coding and classification systems. Next, using the Ingenerf typology of taxonomic vocabularies, we categorize the formal type and structure of three existing nursing intervention classification system--Nursing Interventions Classification, Omaha System, and Home Health Care Classification. Third, we use records from home care patients to show examples of lossy data transformation, the loss of potentially significant atomic data, resulting from encoding using each of the three systems. Last, we provide an example of the application of a formal representation methodology (conceptual graphs) which we believe could be used as a model to build the required combinatorial, taxonomic vocabulary for representing nursing interventions.