Hematological complications and quality of life in hospitalized AIDS patients.

The relationships among the biological and physiological indicators of cytopenias in AIDS and measures of quality of life are not well characterized. The purpose of this secondary analysis was to determine the relationships among anemia, neutropenia and thrombocytopenia and characteristics of the individual, physiological markers, symptoms, functional status, general health perceptions, and well-being in people with AIDS. The five dimensions of the Wilson and Cleary model of health-related quality of life provided the conceptual model for this study. In addition to descriptive statistics, logistic regression was used to analyze clusters of variables. The sample of 146 hospitalized patients with AIDS had an 85% prevalence of anemia, a 53% prevalence neutropenia and a 33% prevalence of thrombocytopenia. The mean age was 38 years old, 19% were female, 35% were white, 27% had a history of injection drug use and the mean T-helper cell count was 74 mm3. The five dimensions of the Wilson and Cleary model offered significant predictability for anemia only. Patients with higher symptom scores were more likely to have treatable anemia, defined as a hematocrit of < 30%. Treatable anemia was also associated with lower self-care scores and lower T-helper cells. Fifty-four percent of the cohort were candidates for colony stimulating factors, while only 17% of those eligible received them. These data suggest suboptimal treatment of anemia and neutropenia in this cohort of AIDS patients.

The Client Adherence Profiling-Intervention Tailoring (CAP-IT) intervention for enhancing adherence to HIV/AIDS medications: a pilot study.

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.

Validation of the Sign and Symptom Check-List for Persons with HIV Disease (SSC-HIV).

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.

Representing nursing judgements in the electronic health record.

The naming of nursing phenomena and representing the phenomena in a standardized manner suitable for encoding in computer-based systems is a challenge for the nursing profession at the national and the international level. Considerable progress has been made in the development of classification systems for nursing practice. The focus of this article is on language systems developed to represent nursing judgements in computer-based systems, in particular the electronic health record. A review of two current systems and their proposed revisions (North American Nursing Diagnosis Association, NANDA, Taxonomies I and II, and the International Classification for Nursing Practice, ICNP, Alpha and Beta versions), according to the features suggested by the Computer-based Patient Record Institute (CPRI) for classification systems appropriate for implementation in computer-based systems, suggests that the evolving versions extend the current versions in terms of sufficient granularity (depth and level of detail) and atomic and compositional character. However, it is not clear from the literature available to date whether the characteristics that are most closely related to definition of a formal terminology (i.e. clear and non-redundant representation of concepts, syntax and grammar for logical constructions of compositional terms, synonyms and language independence) will be part of the evolving vocabularies. Formal terminology models and related tools have the potential to complement, extend, and refine existing nursing classification systems.

Predictors of self-reported adherence in persons living with HIV disease.

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.

Dimensions of health-related quality of life in persons living with HIV disease.

The purpose of this secondary analysis was to test empirically the influence of biological and physiological variables, symptom status, functional status, general health perceptions, characteristics of the individual and characteristics of the environment on overall quality of life in persons living with HIV disease. Path analysis, using multiple linear regression, was used to examine the fit between a health-related quality of life (HRQOL) theoretical model and data from a sample of 142 persons with an AIDS diagnosis. Thirty-two per cent of the variance in overall quality of life was explained by the HRQOL model with symptom status having the greatest influence (beta = -0.237, R2(Y x 2) = 5%). This analysis suggests that symptom status, functional status and general health perceptions are key dimensions of HRQOL. With a focus on prevention, health promotion, symptom management, and the alleviation of acute and chronic illness effects, HRQOL may be appropriate for capturing the outcomes of nursing interventions.

Quality of life and self-care management strategies of PLWAs with chronic diarrhea.

A case control design was used to examine quality of life and self-care management strategies in persons living with AIDS (PLWAs) with chronic diarrhea. PLWAs without chronic diarrhea (n = 20) as compared to those with chronic diarrhea (n = 20) reported significantly higher general health perceptions (p = .028). In contrast, comparisons on symptom status scores revealed that PLWAs without chronic diarrhea reported greater fatigue (p = .05), greater psychological distress (p = .005), and greater gastrointestinal discomfort (p = .01). Although the intensity of chronic diarrhea was reported as moderate to severe by 85% of the sample, no single category of self-care management strategies was used by more than 65% of respondents. The number of categories of self-care management activities was significantly correlated with general health perceptions. The study findings support the need to test nursing interventions aimed at improving symptom management in chronic diarrhea and facilitating self-care behaviors including those focused on increasing adherence to prescribed therapeutic regimens.

The ICNP's relevance in the US.

Efforts to develop an International Classification for Nursing Practice (ICNP) were initiated nearly a decade ago. To update nurses on progress, below is a critical review of the ICNP using the Computer-based Patient Record Institute (CPRI) Features Framework and a discussion of its relevance to current US efforts: 1) the activities of the American Nurses' Association (ANA) Steering Committee on Databases To Support Clinical Nursing Practice; 2) implementation of formal approaches for representing nursing concepts and 3) Health Level 7 standards.

A review of major nursing vocabularies and the extent to which they have the characteristics required for implementation in computer-based systems.

Building on the work of previous authors, the Computer-based Patient Record Institute (CPRI) Work Group on Codes and Structures has described features of a classification scheme for implementation within a computer-based patient record. The authors of the current study reviewed the evaluation literature related to six major nursing vocabularies (the North American Nursing Diagnosis Association Taxonomy 1, the Nursing Interventions Classification, the Nursing Outcomes Classification, the Home Health Care Classification, the Omaha System, and the International Classification for Nursing Practice) to determine the extent to which the vocabularies include the CPRI features. None of the vocabularies met all criteria. The Omaha System, Home Health Care Classification, and International Classification for Nursing Practice each included five features. Criteria not fully met by any systems were clear and non-redundant representation of concepts, administrative cross-references, syntax and grammar, synonyms, uncertainty, context-free identifiers, and language independence.

A template-based approach to support utilization of clinical practice guidelines within an electronic health record.

Practice guidelines are an integral part of evidence-based health care delivery. When the authors decided to install the clinical documentation component of an electronic health record in a nurse practitioner faculty practice, however, they found that they lacked the resources to integrate it immediately with other systems and components that would support the processing of clinical rules. They were thus challenged to devise an initial approach for decision support related to clinical practice guidelines that did not include interfacing with an inference engine and set of decision rules. The authors developed a prototypic application within the WAVE electronic health record that demonstrates the feasibility of representing a guideline as structured encoded text organized into an online patient-encounter template. Although this approach may be more broadly applicable, it is described within the context of the management of diabetes mellitus by nurse practitioners. The advantages of the approach relate primarily to the integration of the guideline recommendations with the encounter form, the online interaction of the clinician with the system, and the ease of creation and modification of the guideline-based encounter form. However, there are several limitations of the current approach as a result of the inability to do inference and the lack of integration with patient-specific data to trigger specific rules.

Nursing data, classification systems, and quality indicators: what every HIM professional needs to know.

The nursing profession has developed a number of classification systems. What can HIM professionals learn from the processes and results? This article presents an overview of the major nursing classification systems and examines some of the national efforts to standardize nursing data elements.

The usefulness of the Georgetown Home Health Care Classification system for coding patient problems and nursing interventions in psychiatric home care.

Although several coding systems for standardizing the clinical language of nursing practice have been developed and tested, no studies have been found that examine the usefulness of such a system for psychiatric home care, a rapidly emerging area of nursing practice. This study examined the usefulness of the Georgetown Home Health Care Classification system for the coding of patient problems and nursing interventions in the psychiatric home care setting. Although most problems and interventions could be classified with codes from the Georgetown system, some new codes were needed to prevent loss of potentially significant psychiatric data.

Assessing and managing pain in AIDS care: the patient perspective.

Although the prevalence and complexity of pain management in HIV/AIDS has been described in the literature, little is known about the management of pain from the patient perspective. This study used a set of standardized instruments, a medication chart audit, and a semistructured interview to elicit patients' self-reports of pain and patients' perceptions of nursing and self-care pain management strategies and examined potential physiological and psychosocial correlates of pain. The sample of 249 AIDS patients from three types of care settings (hospital, home care, skilled nursing facility) reported a modest overall current pain intensity (M = .14, range = 0-1). They reported experiencing pain in all body parts as measured by a body outline and characterized their pain with an average of 8.96 words from a list of 67 words. A lower pain rating was correlated with higher ratings on quality of life and perceived psychological support. An audit of the medication record revealed that the study sample received the following medications: narcotic analgesics (49%), nonnarcotic analgesics (47%), and antidepressants (22%). In a semistructured interview, medications were rated as effective by 80% of patients experiencing pain who stated that their health care providers included pain medications as part of the patient's pain management plan. Patients reported few nonpharmacologic self-care or health care provider interventions to manage their pain, and the effectiveness ratings of the interventions demonstrated wide variability. The study findings suggest that because pain was related to quality of life ratings and the pain management strategies reported by patients were not completely effective, further work is needed to examine pain management strategies that incorporate both pharmacologic and nonpharmacologic interventions with particular attention to self-care interventions. In addition, the data suggest that nursing assessments should include questions aimed at eliciting potentially harmful (e.g., street drugs, self-prescribed medications) strategies that patients may be using to manage their pain.

Achievement of appropriate self-care. Does care delivery system make a difference?

OBJECTIVES: The purpose of this article is to review the evidence linking variations in care delivery system with achievement of appropriate self-care. METHODS: This synthetic review of the research literature used the Outcomes Model for Health Care Research. The concept of self-care was reviewed from several theoretical perspectives, as was the quality of instruments used to measure aspects of self-care. Finally, studies examining the linkage between care delivery system and self-care were critically analyzed. RESULTS: Reliable and valid instruments exist to measure self-care agency and self-care performance, and these data elements are collected routinely in many care settings. Only a few studies, however, have examined the relation between achievement of self-care and variations in delivery systems. CONCLUSIONS: Achievement of appropriate self-care may be an outcome measure better suited to nonacute care settings or across the continuum of care. Additionally, work is needed in applying risk-adjustment strategies to the measurement of achievement of appropriate self-care.

Nursing classification systems: necessary but not sufficient for representing "what nurses do" for inclusion in computer-based patient record systems.

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.

Health status measurement in computer-based patient record systems.

As requests for information about quality of health care have increased, purchasers of computer-based patient record (CPR) systems are demanding information regarding the manner in which these systems can assist in measuring health care quality. The type of information requested by purchasers of health care, accrediting agencies, and consumer groups is shifting toward more complex measures of health status. Both provider and patient perceptions of health status are relevant in measuring the impact of health care interventions. Standardized coding and classification systems and standardized health status measurement instruments each offer utility in capturing and representing health status in CPR systems.

Comparison of nursing interventions classification and current procedural terminology codes for categorizing nursing activities.

PURPOSE: To compare the frequency with which nursing activity terms could be categorized using Nursing Interventions Classification (NIC) and Current Procedural Terminology (CPT) codes. DESIGN: Descriptive. The sample was 201 patients with AIDS hospitalized 1989-1992 for pneumocystis carinii pneumonia in three US medical centers. METHODS: Nursing activity terms (n = 21,366) were collected from patient interviews, nurse interviews, intershift reports, and patient records, then were categorized using NIC and CPT codes. RESULTS: Nursing activity terms were categorized into 80 NIC interventions across 22 classes and into 15 CPT codes. All terms in the data set were classifiable using the NIC system and the majority (60%) of the terms were classified into 14 NIC intervention categories; 6% of the terms were classifiable by CPT codes. The most frequently used CPT code was "pulse oximetry." Significantly (p < .0001) greater numbers of nursing activity terms could be categorized in the NIC system compared to the CPT system. CONCLUSIONS: Findings provide evidence that NIC is superior to CPT for categorizing nursing activities in this study's population. The findings support the importance of discipline-specific classifications for categorization of health care interventions. Nursing-specific intervention classification systems such as NIC, the Omaha System, and the Home Health Care Classification are essential to defining the contribution of nursing to both quality and cost outcomes.

Nurses use of health status data to plan for patient care: implications for the development of a computer-based outcomes infrastructure.

The purpose of this study was to examine the relationships between the patient's health status at hospital admission and the initial care planned by the nurse. Functional status, engagement in care, and psychosocial well-being were measured by the Health Status Outcome Dimensions(HSOD) instrument. The HSOD is the foundation for developing a computer-based infrastructure for the analysis of health related outcomes. The consecutive, convenience sample of 308 subjects was drawn from five acute clinical populations: pulmonary; cerebrovascular, cardiac; gastrointestinal; and infection. Logistic and multiple regression analyses were used to test the relationships between control (patient and setting) variables, health status, and the dependent variables of type of problem identified, number of problems identified, and the time required to implement interventions ordered for the patient. In seven of ten models, control variables of facility, age, and/or severity of illness contributed to a model at p < .01. In six of ten models, at least one health status measure significantly explained variation beyond the control variables, at p < .01. Study results support using data gathered during the course of care, to evaluate the process of that care. Further work is needed to understand the effects of setting and provider variables on the use of health status data in care planning. Computer-based outcomes infrastructures are essential to support the collection and analysis of health status over time.

Documenting 'what nurses do'--moving beyond coding and classification.

A variety of strategies for knowledge representation have been applied to the texts from a number of medical domains. Many of the techniques rely on the well-defined ways in which medical terms are used within a given domain, a phenomenon referred to as 'sublanguage.' Because much of nursing documentation involves the use of 'everyday' language, the viable application of sublanguage-based approaches to knowledge representation of nursing documentation is not a forgone conclusion. We propose an approach utilizing semantic markup of nursing notes as a strategy for determining whether the documentation of 'what nurses do' is a sublanguage Results of an initial feasibility study utilizing the approach are presented.