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Background Patients not attending to clinic appointments (no-show) significantly affects delivery, cost of care and resource planning. We aimed to evaluate the prevalence, predictors and economic consequences of patient no-shows. Method This is a retrospective cohort study using administrative databases for fiscal years 1997–2008. We searched administrative databases for no-show frequency and cost at a large medical center. In addition, we estimated no-show rates and costs in another 10 regional hospitals. We studied no-show rates in primary care and various subspecialty settings over a 12-year period, the monthly and seasonal trends of no-shows, the effects of implementing a reminder system and the economic effects of missed appointments. Results The mean no-show rate was 18.8 % (2.4 %) in 10 main clinics with highest occurring in subspecialist clinics. No-show rate in the women clinic was higher and the no-show rate in geriatric clinic was lower compared to general primary care clinic (PCP). The no-show rate remained at a high level despite its reduction by a centralized phone reminder (from 16.3 % down to 15.8 %). The average cost of no-show per patient was $196 in 2008. Conclusions Our data indicates that no-show imposed a major burden on this health care system. Further, implementation of a reminder system only modestly reduced the no-show rate.

Evidence-based practices in preventive care and chronic disease management are inconsistently implemented. Computerized clinical reminders (CRs) can improve compliance with these practices in outpatient settings. However, since clinician adherence to CR recommendations is quite variable and declines over time, we conducted observations to determine barriers and facilitators to the effective use of CRs. We conducted an observational study of nurses and providers interacting with CRs in outpatient primary care clinics for two days in each of four geographically distributed Veterans Administration (VA) medical centers. Three observers recorded interactions of 35 nurses and 55 physicians and mid-level practitioners with the CRs, which function as part of an electronic medical record. Field notes were typed, coded in a spreadsheet, and then sorted into logical categories. We then integrated findings across observations into meaningful patterns and abstracted the data into themes, such as recurrent strategies. Several of these themes translated directly to barriers and facilitators to effective CR use. Optimally using the CR system for its intended purpose was impeded by (1) lack of coordination between nurses and providers; (2) using the reminders while not with the patient, impairing data acquisition and/or implementation of recommended actions; (3) workload; (4) lack of CR flexibility; and (5) poor interface usability. Facilitators included (1) limiting the number of reminders at a site; (2) strategic location of the computer workstations; (3) integration of reminders into workflow; and (4) the ability to document system problems and receive prompt administrator feedback. We identified barriers that might explain some of the variability in the use of CRs. Although these barriers may be difficult to overcome, some strategies may increase user acceptance and therefore the effectiveness of the CRs. These include explicitly assigning responsibility for each CR to nurses or providers, improving visibility of positive results from CRs in the electronic medical record, creating a feedback mechanism about CR use, and limiting the overall number of CRs.

Background Up to 50 % of patients do not take medications as prescribed. Interventions to improve adherence are needed, with an understanding of which patients benefit most. Objective To test the effect of two low-literacy interventions on medication adherence. Design Randomized controlled trial, 2 × 2 factorial design. Participants Adults with coronary heart disease in an inner-city primary care clinic. Interventions For 1 year, patients received usual care, refill reminder postcards, illustrated daily medication schedules, or both interventions. Main Measures The primary outcome was cardiovascular medication refill adherence, assessed by the cumulative medication gap (CMG). Patients with CMG < 0.20 were considered adherent. We assessed the effect of the interventions overall and, post-hoc, in subgroups of interest. Key Results Most of the 435 participants were elderly (mean age = 63.7 years), African-American (91 %), and read below the 9th-grade level (78 %). Among the 420 subjects (97 %) for whom CMG could be calculated, 138 (32.9 %) had CMG < 0.20 during follow-up and were considered adherent. Overall, adherence did not differ significantly across treatments: 31.2 % in usual care, 28.3 % with mailed refill reminders, 34.2 % with illustrated medication schedules, and 36.9 % with both interventions. In post-hoc analyses, illustrated medication schedules led to significantly greater odds of adherence among patients who at baseline had more than eight medications (OR = 2.2; 95 % CI, 1.21 to 4.04) or low self-efficacy for managing medications (OR = 2.15; 95 % CI, 1.11 to 4.16); a trend was present among patients who reported non-adherence at baseline (OR = 1.89; 95 % CI, 0.99 to 3.60). Conclusions The interventions did not improve adherence overall. Illustrated medication schedules may improve adherence among patients with low self-efficacy, polypharmacy, or baseline non-adherence, though this requires confirmation.

BackgroundDespite substantial resources devoted to cancer screening nationally, the availability of clinical practice-based systems to support screening guidelines is not known.ObjectiveTo characterize the prevalence and correlates of practice-based systems to support breast and cervical cancer screening, with a focus on the patient-centered medical home (PCMH).DesignWeb and mail survey of primary care providers conducted in 2014. The survey assessed provider (gender, training) and facility (size, specialty training, physician report of National Committee for Quality Assurance (NCQA) PCMH recognition, and practice affiliation) characteristics. A hierarchical multivariate analysis clustered by clinical practice was conducted to evaluate characteristics associated with the adoption of practice-based systems and technology to support guideline-adherent screening.ParticipantsPrimary care physicians in family medicine, general internal medicine, and obstetrics and gynecology, and nurse practitioners or physician assistants from four clinical care networks affiliated with PROSPR (Population-based Research Optimizing Screening through Personalized Regimens) consortium research centers.Main MeasuresThe prevalence of routine breast cancer risk assessment, electronic health record (EHR) decision support, comparative performance reports, and panel reports of patients due for routine screening and follow-up.Key ResultsThere were 385 participants (57.6 % of eligible). Forty-seven percent (47.0 %) of providers reported NCQA recognition as a PCMH. Less than half reported EHR decision support for breast (48.8 %) or cervical cancer (46.2 %) screening. A minority received comparative performance reports for breast (26.2 %) or cervical (19.7 %) cancer screening, automated reports of patients overdue for breast (18.7 %) or cervical (16.4 %) cancer screening, or follow-up of abnormal breast (18.1 %) or cervical (17.6 %) cancer screening tests. In multivariate analysis, reported NCQA recognition as a PCMH was associated with greater use of comparative performance reports of guideline-adherent breast (OR 3.23, 95 % CI 1.58–6.61) or cervical (OR 2.56, 95 % CI 1.32–4.96) cancer screening and automated reports of patients overdue for breast (OR 2.19, 95 % CI 1.15–41.7) or cervical (OR. 2.56, 95 % CI 1.26–5.26) cancer screening.ConclusionsProviders lack systems to support breast and cervical cancer screening. Practice transformation toward a PCMH may support the adoption of systems to achieve guideline-adherent cancer screening in primary care settings.

The use of oral agents for cancer (OACs) is increasing, and oncology nurses are in an ideal position to educate patients about them and suggest methods to improve adherence. Once an OAC is ordered, the administration is the responsibility of the patient. Oncology nurses can use tools and technology to assist with education, which may promote adherence, and suggest reminder tools that can be used. Many electronic tools have been developed, such as smartphone applications, text messaging, electronic alarms, and glowing pill bottles. The researchers reviewed electronic devices, as well as traditional methods such as calendars and pillboxes, that can assist patients in remembering to take the medication they are administering at home. A literature search was compiled and websites were searched for patient education tools, reminder tools (electronic and manual), and smartphone applications. The project was part of the Oncology Nursing Society Putting Evidence Into Practice effort on oral adherence. Education alone is insufficient to promote adherence to oral medication regimens. Multicomponent interventions have demonstrated improved adherence, and tools and technology directed at improving adherence to oral agents can be used. The researchers found multiple reminder aids to assist patients in adhering to an oral regimen. They are highlighted in this article.

Adult vaccination rates in the United States have fallen below national target levels and may be exacerbated by lack of access to a primary care physician. We assessed patient knowledge of and attitudes towards vaccines in an urban emergency department population and analyzed the feasibility of using this setting as a vaccine delivery site from a patient perspective. In-person interviewers administered surveys to 250 adult patients presenting to the Detroit Receiving Hospital emergency department in Detroit, Michigan. Respondents were asked about vaccination status, preferences, and willingness to accept vaccination reminders via text messaging. Odds ratios and 95% Wald confidence intervals assessing differences between vaccinated and non-vaccinated individuals were generated with univariate logistic regression. Vaccinated adults were more likely to have a primary care provider than non-vaccinated adults (OR 1.94, 95% CI: 1.09–3.45). Non-vaccinated adults were significantly more likely to have unvaccinated adult relatives (OR8.64, 95% CI: 4.10–18.22). Nearly all respondents used a cell phone, and 75.8% of unvaccinated adults were willing to receive text messages reminders about vaccines. Although less likely to have a primary care access point than vaccinated participants, non-vaccinated respondents reported interest in receiving vaccinations. Emergency departments could serve as vaccination hubs for patients and unvaccinated accompanying family members. Text message reminders offer a potential source of additional vaccine prompts and education.

BACKGROUND/OBJECTIVE Brief alcohol counseling is a foremost US prevention priority, but no health-care system has implemented it into routine care. This study evaluated the effectiveness of an electronic clinical reminder for brief alcohol counseling (“reminder”). The specific aims were to (1) determine the prevalence of use of the reminder and (2) evaluate whether use of the reminder was associated with resolution of unhealthy alcohol use at follow-up screening. METHODS The reminder was implemented in February 2004 in eight VA clinics where providers routinely used clinical reminders. Patients eligible for this retrospective cohort study screened positive on the AUDIT-C alcohol screening questionnaire (February 2004–April 2006) and had a repeat AUDIT-C during the 1–36 months of follow-up (mean 14.5). Use of the alcohol counseling clinical reminder was measured from secondary electronic data. Resolution of unhealthy alcohol use was defined as screening negative at follow-up with a ≥2-point reduction in AUDIT-C scores. Logistic regression was used to identify adjusted proportions of patients who resolved unhealthy alcohol use among those with and without reminder use. RESULTS Among 4,198 participants who screened positive for unhealthy alcohol use, 71% had use of the alcohol counseling clinical reminder documented in their medical records. Adjusted proportions of patients who resolved unhealthy alcohol use were 31% (95% CI 30–33%) and 28% (95% CI 25–30%), respectively, for patients with and without reminder use (p-value = 0.031). CONCLUSIONS The brief alcohol counseling clinical reminder was used for a majority of patients with unhealthy alcohol use and associated with a moderate decrease in drinking at follow-up.

Our objective was to investigate antiretroviral adherence device use by HIV-infected youth and assess associations of device use with viral suppression and self-reported adherence. This cross-sectional, multisite, clinic-based study included data from 1,317 HIV-infected individuals 12–24 years of age that were prescribed antiretroviral therapy. Mean adherence in the past 7 days was 86.1 % and 50.5 % had an undetectable HIV RNA. Pillbox was the most commonly endorsed device. No specific device was independently associated with higher odds of 100 % adherence. Paradoxically, having an undetectable HIV RNA was inversely associated with use of adherence devices (OR 0.80; p  = 0.04); however, among those with <100 % adherence, higher adherence was associated with use of one or more adherence devices (coefficient = 7.32; p  = 0.003). Our data suggest that adolescents who experienced virologic failure often used adherence devices which may not have been sufficiently effective in optimizing adherence. Therefore, other tailored adherence-enhancing methods need to be considered to maximize virologic suppression and decrease drug resistance and HIV transmission.

Implementation of clinical practice guidelines (CPGs) leads to better outcomes. The first K/DOQI guideline for chronic kidney disease (CKD) recommended the use of estimated glomerular filtration rate (eGFR) to assess kidney function, minimizing 24–h urine collections for the measurement of creatinine clearance. Kagoma et al. demonstrate that automatic reporting of eGFR with clinical decision support was required for implementation of this recommendation. The second cycle of development, publication, and implementation of CPGs for CKD is under way.

Introduction Adherence to antiretroviral treatment (ART) is critical to maintaining health and good clinical outcomes in people living with HIV/AIDS. To address poor treatment adherence, low‐cost interventions using mobile communication technology are being studied. While there are some studies that show an effect of mobile phone reminders on adherence to ART, none has reported on the costs of such reminders for national AIDS programmes. This paper aims to study the costs of mobile phone reminder strategies (mHealth interventions) to support adherence in the context of India's National AIDS Control Program (NACP). Methods The study was undertaken at two tertiary level teaching hospitals that implement the NACP in Karnataka state, South India. Costs for a mobile phone reminder application to support adherence, implemented at these sites (i.e. weekly calls, messages or both) were studied. Costs were collected based on the concept of avoidable costs specific to the application. The costs that were assessed were one‐time costs and recurrent costs that included fixed and variable costs. A sequential procedure for costing was used. Costs were calculated at national‐programme level, individual ART‐centre level and individual patient level from the NACP's perspective. The assessed costs were pooled to obtain an annual cost per patient. The type of application, number of ART centres and number of patients on ART were varied in a sensitivity analysis of costs. Results The Indian NACP would incur a cost of between 79 and 110 INR (USD 1.27–1.77) per patient per year, based on the type of reminder, the number of patients on ART and the number of functioning ART centres. The total programme costs for a scale‐up of the mHealth intervention to reach the one million patients expected to be on treatment by 2017 is estimated to be 0.36% of the total five‐year national‐programme budget. Conclusions The cost of the mHealth intervention for ART‐adherence support in the context of the Indian NACP is low and is facilitated by the low cost of mobile communication in the country. Extending the use of mobile communication applications beyond adherence support under the national programme could be done relatively inexpensively.