Translation of Contextual Control Model to chronic disease management: A paradigm to guide design of cognitive support systems.

BACKGROUND: Electronic health records (EHRs) continue to be criticized for providing poor cognitive support. Defining cognitive support has lacked theoretical foundation. We developed a measurement model of cognitive support based on the Contextual Control Model (COCOM), which describes control characteristics of an "orderly" joint system and proposes 4 levels of control: scrambled, opportunistic, tactical, and strategic. METHODS: 35 clinicians (5 centers) were interviewed pre and post outpatient clinical visits and audiotaped during the visit. Behaviors pertaining to hypertension management were systematically mapped to the COCOM control characteristics of: (1) time horizon, (2) uncertainty assessment, (3) consideration of multiple goals, (4) causal model described, and (5) explicitness of plan. Each encounter was classified for overall mode of control. Visits with deviation versus no deviation from hypertension goals were compared. RESULTS: Reviewer agreement was high. Control characteristics differed significantly between deviation groups (Wilcox rank sum p<.01). K-means cluster analysis of control characteristics, stratified by deviation were distinct, with higher goal deviations associated with more control characteristics. CONCLUSION: The COCOM control characteristics appear to be areas of potential yield for improved user-experience design.

Transcranial magnetic stimulation (TMS) effects on testosterone, prolactin, and corticosterone in adult male rats.

BACKGROUND: Transcranial magnetic stimulation is a relatively new technique for inducing small, localized, and reversible changes in living brain tissue. Although transcranial magnetic stimulation generally results in no immediate changes in plasma corticosterone, prolactin, and testosterone, it normalizes the dexamethasone suppression test in some depressed subjects and has been shown to attenuate stress-induced increases in adrenocorticotropic hormone in rats. METHODS: In this study, serum corticosterone and testosterone concentrations were assayed in male rats immediately and 3, 6, 9, 12, 24, and 48 hours following a single transcranial magnetic stimulation or sham application. Serum prolactin concentrations were determined immediately and 2 hours following a one-time application of either transcranial magnetic stimulation or sham. RESULTS: Transcranial magnetic stimulation animals displayed significantly lower corticosterone concentrations at 6 and 24 hours following a single application compared with sham-control values. Transcranial magnetic stimulation also resulted in lower corticosterone concentrations numerically but not statistically in transcranial magnetic stimulation animals immediately after application (p =.089). No significant differences were found between groups for serum prolactin or testosterone levels at any given collection time point. CONCLUSIONS: These findings 1) suggest that transcranial magnetic stimulation alters the hypothalamic-pituitary-adrenal stress axis and 2) provide time-course data for the implications of the hormonal mechanism that may be involved in the actions of transcranial magnetic stimulation.

Duration of transcranial magnetic stimulation effects on the neuroendocrine stress response and coping behavior of adult male rats.

BACKGROUND: Transcranial magnetic stimulation (TMS) is a relatively novel, noninvasive method of altering cerebral electrophysiological activity that produces localized and reversible changes in brain tissue. TMS has been shown to have antidepressant properties in both human trials and animal models. Additionally, TMS may alter hypothalamic-pituitary-adrenal (HPA) function resulting in a normalized dexamethasone suppression test in some depressed subjects and an attenuated stress-induced increase in adrenocorticotropic hormone (ACTH) and a possibly lowered basal corticosterone (CORT) concentration in rats. This research was undertaken to investigate the duration of these behavioral and neuroendocrine effects of TMS in rats. METHODS: In this study, serum ACTH, CORT, testosterone, and luteinizing hormone (LH) concentrations following and immobility parameters during a forced-swim test in adult male rats were evaluated immediately and 1, 3, 5, 7, and 14 days subsequent to a 10-day course of once-daily TMS or sham application. RESULTS: TMS animals had significantly higher ACTH and CORT concentrations immediately following the 10-day course of TMS compared to sham controls. Higher CORT concentrations (numerically but not statistically) were displayed by TMS-treated animals 1 and 3 days after the 10-day application course, although there were no significant differences between TMS and sham groups for ACTH or CORT levels 1, 3, 5, 7, and 14 days following application of sham or TMS. No significant differences were found between groups for serum testosterone and LH levels at any given collection time point. Immobility time, a measure of coping ability that is predictive of human antidepressant response, was significantly decreased (i.e., time spent actively swimming was significantly increased) immediately after the 10-day course of TMS. Thereafter, a nonsignificant numerical trend at 1 and 3 days after TMS application for immobility times between the TMS and control groups was observed (TMS

The orderly and effective visit: impact of the electronic health record on modes of cognitive control.

The clinical Joint Cognitive System (JCS) includes the clinicians, electronic health record (EHR), and other infrastructure that maintain control in the system in the service of accomplishing clinical goals. The purpose of this study is to examine the relationship between levels of control using the COCOM model (scrambled, opportunistic, tactical, and strategic) and patterns of EHR use. Forty-five primary care visits were observed and audio-recorded. Each was coded for COCOM levels of control (IRR = 90%). Screen changes were recorded and time stamped (as either searching or entering). Levels of control were significantly related to preparation intensity (F (2,23) = 6.62; p=0.01), the number of screen changes involved in both searching (F (2,30) = 6.54; p=0.004), and entering information (F (2,22) = 9.26; p=0.001). Combined with the qualitative data, this pattern of EHR usage indicates that the system as designed may not provide effective cognitive support.

Psychosocial effects in long-term head and neck cancer survivors.

BACKGROUND: To identify and rate the importance of several psychosocial and physiologic influences on quality of life (QOL) among a cohort of 5-year head and neck cancer survivors, we conducted a cross-sectional study of a convenience sample that used both questionnaires and physiologic evaluations. METHODS: QOL was assessed by the Functional Assessment of Cancer Therapy (FACT) and the FACT Head and Neck additional concerns (FACT-H&N) questionnaires. Psychosocial characteristics (or risk factors) potentially influencing QOL were measured by the Millon Behavioral Health Inventory (MBHI) and the Social Support Questionnaire (SSQSR). Physiologic risk factors were measured in examinations that included shoulder and neck range of motion, whole and stimulated saliva measurements, and oropharyngeal swallowing efficiency. We evaluated the association of selected QOL measures with three groups of potential risk factors: psychosocial factors, consisting of selected MBHI and SSQSR scales; physiologic factors, consisting of selected physical ability measures; and a combination of psychosocial/physiologic factors. RESULTS: The entire study population of 105 subjects completed the FACT and FACT-H&N questionnaires; 86 of these completed the physiologic tests as well. Combined psychosocial/physiologic models best predicted all QOL measures considered. Psychosocial models alone, compared with physiologic models alone, better predicted FACT physical and social/family well-being measures. Physiologic models alone, compared with psychosocial models alone, better predicted FACT-H&N additional concerns measures. Premorbid pessimism (MBHI) was consistently the best predictor of QOL measures. CONCLUSIONS: Both psychosocial and physiologic factors influence QOL in patients with head and neck cancer, but many QOL measures are most strongly influenced by psychosocial considerations. Physicians and surgeons caring for long-term head and neck cancer survivors should be cognizant of the importance of psychosocial risk factors in the QOL of their patients.