Evaluating Patient Navigation to Improve First Appointment No-show Rates in Uninsured Patients with Diabetes

Barriers to Care Among Glaucoma Patients With a Missed Appointment and Interest in a Navigator Program

PRCIS

Most glaucoma patients with missed appointments report barriers to care and social risk factors. One third expressed interest in engaging with a patient navigator program. Most expressed interest in rescheduling.

PURPOSE

The purpose of this study was to identify barriers to care among glaucoma patients with missed appointments and to assess their interest in a patient navigator program.

MATERIAL AND METHODS

A cross-sectional study involving adult glaucoma patients from an academic eye center who missed their scheduled appointment between April 18 and July 25, 2022. Participants were surveyed about reasons for missed appointments, barriers to care, social risk factors, and interest in consulting with our patient navigator program.

RESULTS

Of 172 patients with a missed glaucoma appointment, 73% (126/172) were contacted, and 40% (51/126) of those completed the survey. Participant age averaged 67±14 years, half were female (25/51, 49%), and most identified as Black (27/51, 53%) or White (21/51, 40%). Barriers to seeing a doctor including difficulty scheduling appointments (13/51, 26%), transportation (12/51, 24%), and cost or insurance barriers (8/51, 16%). Twenty-eight (55%) respondents reported at least one social risk factor. A positive association was found between having at least one risk factor and expressing interest in consulting our patient navigator (odds ratio=6.7, P =0.009). Overall, a third of respondents expressed interest in engaging with our patient navigator program (17/51, 33%). Two thirds of participants reported awareness of missed appointments (34/51, 67%), of whom 35% (12/34) reported having already rescheduled, 41% (14/34) expressed interest in rescheduling, and 24% (8/34) did not wish to return.

CONCLUSIONS

Glaucoma patients with missed appointments report barriers to care and face social risk factors. Telephone outreach may help to re-engage them with care, and patients expressed interest in a patient navigator program to address social needs.

Improving intervention design to promote cervical cancer screening among hard-to-reach women: assessing beliefs and predicting individual attendance probabilities in Bogotá, Colombia

Background

Despite being a preventable disease, cervical cancer continues to be a public health concern, affecting mainly lower and middle-income countries. Therefore, in Bogotá a home-visit based program was instituted to increase screening uptake. However, around 40% of the visited women fail to attend their Pap smear test appointments. Using this program as a case study, this paper presents a methodology that combines machine learning methods, using routinely collected administrative data, with Champion’s Health Belief Model to assess women’s beliefs about cervical cancer screening. The aim is to improve the cost-effectiveness of behavioural interventions aiming to increase attendance for screening. The results presented here relate specifically to the case study, but the methodology is generic and can be applied in all low-income settings.

Methods

This is a cross-sectional study using two different datasets from the same population and a sequential modelling approach. To assess beliefs, we used a 37-item questionnaire to measure the constructs of the CHBM towards cervical cancer screening. Data were collected through a face-to-face survey (N = 1699). We examined instrument reliability using Cronbach’s coefficient and performed a principal component analysis to assess construct validity. Then, Kruskal–Wallis and Dunn tests were conducted to analyse differences on the HBM scores, among patients with different poverty levels. Next, we used data retrieved from administrative health records (N = 23,370) to fit a LASSO regression model to predict individual no-show probabilities. Finally, we used the results of the CHBM in the LASSO model to improve its accuracy.

Results

Nine components were identified accounting for 57.7% of the variability of our data. Lower income patients were found to have a lower Health motivation score (p-value < 0.001), a higher Severity score (p-value < 0.001) and a higher Barriers score (p-value < 0.001). Additionally, patients between 25 and 30 years old and with higher poverty levels are less likely to attend their appointments (O.R 0.93 (CI: 0.83–0.98) and 0.74 (CI: 0.66–0.85), respectively). We also found a relationship between the CHBM scores and the patient attendance probability. Average AUROC score for our prediction model is 0.9.

Conclusion

In the case of Bogotá, our results highlight the need to develop education campaigns to address misconceptions about the disease mortality and treatment (aiming at decreasing perceived severity), particularly among younger patients living in extreme poverty. Additionally, it is important to conduct an economic evaluation of screening options to strengthen the cervical cancer screening program (to reduce perceived barriers). More widely, our prediction approach has the potential to improve the cost-effectiveness of behavioural interventions to increase attendance for screening in developing countries where funding is limited.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01800-3.

Patient Centered Studies Focused on Type 2 Diabetes Management, Education, and Family Support: A Scoping Review

BACKGROUND

Although a large amount of research has been conducted in diabetes management, many of the articles do not focus on patient-centered questions and concerns. To address this shortcoming, patients and various other stakeholders from three northern Mississippi communities co-created research questions focused on Type 2 diabetes management.

OBJECTIVE

To identify the diabetes management literature pertaining to each of the six patient-developed research questions from March 2010 to July 2020.

METHODS

A scoping review was conducted via PubMed to identify research articles from March 2010 to July 2020 focused on patient-centered Type 2 diabetes studies relevant to the six research questions.

RESULTS

A total of 1,414 studies were identified via the search strategy and 34 were included for qualitative analysis following article exclusion. For one of the research questions, there were no articles included. For the remaining research questions, the number of articles identified ranged from two to eleven. After analysis of the included articles, it was found that these questions either lacked extensive data or had not been implemented in the practice of diabetes management.

CONCLUSION

Additional research is warranted for three of the five questions, as current evidence is either lacking or contradictory. In the remaining two questions, it seems that adequate current research exists to warrant transitioning to implementation focused studies wherein data may be generated to improve sustainability and scaling of current programming.

Non-attendance at diabetes outpatient appointments: a systematic review

BACKGROUND

Non-attendance at diabetes outpatient appointments is a sizeable problem worldwide and has been associated with suboptimal health outcomes. We aimed to describe the characteristics, health outcomes and reasons given for non-attendance at doctor- or nurse-led diabetes appointments, and interventions to improve attendance.

METHODS

PubMed, EMBASE, CINAHL and PsychInfo were searched from database inception to February 2019. Included articles were peer-reviewed, published in English, related to adults or young people with type 1 or type 2 diabetes, and addressed one of the above aspects of non-attendance. Studies were excluded if reporting on other types of diabetes or reviewing attendance at structured education, retinal screening, paediatric, antenatal, podiatry or dietetic clinics.

RESULTS

Thirty-four studies of varied designs were identified (15 observational, 1 randomized control trial, 9 qualitative, 5 surveys, 4 service improvements). The definition of non-attendance varied. Younger adults, smokers and those with financial pressures were less likely to attend. Non-attendance was associated with higher HbA_1c ; other outcomes were varied but typically worse in non-attenders. Reasons for non-attendance in qualitative studies fell into three categories: balancing the costs and benefits of attendance, coping strategies, and the relationships between the person with diabetes and healthcare professionals. Interventions included appointment management strategies, service improvements, patient navigators and WebCam appointments.

CONCLUSIONS

Non-attendance is only partially explained by logistical issues. Qualitative studies suggest complex psychosocial factors are involved. Interventions have progressed from simple appointment reminders in an attempt to address some of the psycho-social determinants, but more work is needed to improve attendance.

A Bibliometric Analysis on No-Show Research: Status, Hotspots, Trends and Outlook

No-show is a thorny issue within the social scope. It not only affects the sustainability of service system operation but also causes heavy irretrievable losses. To maintain and develop the sustainability of service, this paper adopts bibliometric technology to reflect the current status and future prospects about no-show research. And we strive to explore and summarize appointment scheduling methods for no-show problems. The bibliometric analysis was carried out from various aspects including research areas, countries/regions, institutions, journals, authors and author keywords based on papers harvested from Web of Science Core Collection database. The total 1197 papers show that the United States is in a leading position in this field, followed by England and Canada. University of London is the most productive institution with the highest total citations and H-Index. BMC Health Services Research ranks first as the most productive journal, followed by European Journal of Operational Research and Production and Operations Management. Through the analysis of hot articles, we can conclude that how to reduce the impact of no-shows on the sustainability of service systems has become the main research direction. In addition to appointment scheduling, other effective methods are also mentioned. Further study on these methods will be a major research direction in the future.

Evaluation of a comprehensive diabetic foot ulcer care quality model

AIMS

Diabetes-related amputations are typically preceded by a diabetic foot ulcer (DFU) but models to assess the quality of care are lacking. We investigated a model to measure inpatient and outpatient quality.

METHODS

Cohort study among adults hospitalized with a DFU to a safety-net hospital during 2016. We measured adherence to DFU-related quality metrics based on guidelines during and 12 months following hospitalization. Inpatient metrics included ankle-brachial index measurement during or 6 months prior to hospitalization, receiving diabetes education and a wound offloading device prior to discharge. Outpatient metrics included wound care ≤30 days of discharge, in addition to hemoglobin A1c (HbA1c) ≤8%, tobacco cessation, and retention in care (≥2 clinic visits ≥90 days apart) 12 months following discharge.

RESULTS

323 patients were included. Regarding inpatient metrics, 8% had an ankle brachial index measurement, 37% received diabetes education, and 20% received offloading prior to discharge. Regarding outpatient metrics, 33% received wound care ≤30 days of discharge. Twelve months following discharge, 34% achieved a HbA1c ≤8%, 13% quit tobacco, and 52% were retained in care. Twelve-month amputation-free survival was 71%.

CONCLUSIONS

Our model demonstrated large gaps in DFU guideline-adherent care. Implementing measures to close these gaps could prevent amputations.