Inconsistencies Between Medical Records and Patient-Reported Recommendations for Follow-Up After Abnormal Pap Tests

Slone, Stacey; White, Carol; Shelton, Brent J.; Meter, Emily Van; DeSimone, Christopher P.; Schoenberg, Nancy E.; Dignan, Mark

doi:10.1089/jwh.2011.3414

Cited by 7 publications

(7 citation statements)

References 10 publications

(25 reference statements)

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“…However, even so, the knowledge taught from that ward was only for that ward and was not carried across to another ward, because it would also have a different way of recording. Slone et al (2013) agree with the findings of this study that there is inconsistency in record-keeping. A nurse in one country should have to read the work of a nurse in another country and make sense of what the person was recording.…”

Section: Discussionsupporting

confidence: 93%

Record-Keeping: A Qualitative Exploration of Challenges Experienced by Undergraduate Nursing Students in Selected Clinical Settings

Muyakui¹,

Nuuyoma²,

Amukugo³

2019

GJHS

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Good nursing practice requires detailed record-keeping, which should be timely, comprehensive and accurate. Undergraduate nursing students experience challenges with record-keeping. As a result, a phenomenal qualitative study aimed at exploring and describing the record-keeping challenges experienced by undergraduate nursing students was carried out in one of the northern-eastern regions, Namibia. The data were collected through three focus-group discussions with 23 second-year degree nursing students. It became evident that nursing students experienced challenges with record-keeping in clinical practice, as evidenced by the three themes: theory-practice gap, health system-related challenges and hospital staff-related challenges. This study has implications for nurse educators in terms of promoting uniformity and good record-keeping practices in clinical settings.

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Section: Discussionsupporting

confidence: 93%

Record-Keeping: A Qualitative Exploration of Challenges Experienced by Undergraduate Nursing Students in Selected Clinical Settings

Muyakui¹,

Nuuyoma²,

Amukugo³

2019

GJHS

View full text Add to dashboard Cite

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“…Previous studies examining factors related to Pap testing among racially and ethnically diverse women found that younger age, being married, higher socioeconomic status, higher education, private insurance status, higher physical and mental health, and being a non-smoker were significantly associated with being within recommended cervical cancer screening guidelines (Black et al, 2011; Eggleston et al, 2007; Hill & Gick, 2013; McKee et al, 1999; Sloane et al, 2013; Watson et al, 2008). This study found that the majority of demographic characteristics may not be predictors among this high-risk, underserved population of Ohio Appalachian women.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the stage of change model to a cervical cancer screening intervention among Ohio Appalachian women

et al. 2015

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Cervical cancer incidence and mortality rates are disproportionally high among women living in Ohio Appalachia. This study used the Transtheoretical Model to examine screening barriers before and after a lay health advisor (LHA) intervention (2005–2009) to increase cervical cancer screening rates. Ohio Appalachian women (n = 90) who were in need of a Pap test, based on risk-appropriate guidelines, and were randomized to a 10-month LHA intervention, received two in-person visits, two phone calls, and four mailed postcards targeted to the participant’s stage of change. Findings revealed that 63% had forward stage movement ten months after the intervention. The most frequently reported screening barriers were time constraints, forgetting to make an appointment, and cost. Women reporting the following barriers: doctor not recommending the test, unable to afford the test, and being embarrassed, nervous, or afraid of getting a Pap test were less likely to be in the action stage. Understanding the stages of change related to Pap testing and reported barriers among this underserved population may help inform researchers and clinicians of this population’s readiness for change and how to set realistic intervention goals.

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“…For example, similar to non-federally funded safety net clinics, FQHCs often lack the specialized staff and refer patients off-site for their follow-up care (5,33). However, this referral process can often be impeded by patient characteristics such as SES (5,34,35). …”

Section: Discussionmentioning

confidence: 99%

Clinic Type and Patient Characteristics Affecting Time to Resolution after an Abnormal Cancer-Screening Exam

Krok‐Schoen

Kurta

Weier

et al. 2015

Cancer Epidemiology, Biomarkers &Amp; Prevention

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Background Research shows that multilevel factors influence healthcare delivery and patient outcomes. The study goal was to examine how clinic type (academic medical center (AMC) or federally-qualified health center (FQHC)) and patient characteristics influence time to resolution (TTR) among individuals with an abnormal cancer screening test enrolled in a patient navigation (PN) intervention. Methods Data were obtained from the Ohio Patient Navigation Research Project, a group-randomized trial of 862 patients from 18 clinics in Columbus, Ohio. Patient’s TTR after an abnormal breast, cervical, or colorectal screening test and the clinics’ patient and provider characteristics were obtained. Descriptive statistics and Cox shared frailty proportional hazards regression models of TTR were used. Results The mean patient age was 44.8 years and 71% of patients were white. In models adjusted for study arm, FQHC patients had a 39% lower rate of resolution than AMC patients (P=0.004). Patient factors of having a college education, private insurance, higher income, and being older were significantly associated with lower TTR. After adjustment for factors that substantially impacted the effect of clinic type (patient insurance status, education level and age), clinic type was not significantly associated with TTR. Conclusions These results suggest that TTR among individuals participating in PN programs is influenced by multiple socioeconomic patient-level factors rather than clinic type. Consequently, PN interventions should be tailored to address SES factors that influence TTR. Impact These results provide clues regarding where to target PN interventions and the importance of recognizing predictors of TTR according to clinic type.

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Inconsistencies Between Medical Records and Patient-Reported Recommendations for Follow-Up After Abnormal Pap Tests

Abstract: Clinicians should be aware that patients with a history of abnormal results and severe Pap test abnormalities are at risk of misreporting recommendations for follow up.

Cited by 7 publications

References 10 publications

Record-Keeping: A Qualitative Exploration of Challenges Experienced by Undergraduate Nursing Students in Selected Clinical Settings

Record-Keeping: A Qualitative Exploration of Challenges Experienced by Undergraduate Nursing Students in Selected Clinical Settings

Evaluating the stage of change model to a cervical cancer screening intervention among Ohio Appalachian women

Clinic Type and Patient Characteristics Affecting Time to Resolution after an Abnormal Cancer-Screening Exam

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