Abstract:It is important that accurate information about the occurrence of smoking is available in hospital records both for treating health professionals and for coders for public health records, given that smoking is the leading cause of premature death in the developed world. 1,2 However, some reports have questioned the accuracy of medical record data and coding in a range of conditions and settings, so we undertook a small study in our institution. 3-5
Participants, methods and resultsA retrospective study was und… Show more
“…In a study of Nurse Unit Managers' report of provision of nicotine dependence treatment in all general hospitals in New South Wales, Australia, only 37% of respondents reported that all inpatients had their smoking status recorded, while few (17%) provided brief advice to quit or recommended NRT 13 . Audits of medical records in other Australian general hospitals in both urban and regional settings showed substantial errors in recording smoking status, 14,15 minimal provision of NRT and low prevalence of recorded smoking status on the discharge summary 16 …”
Objectives:
To investigate the prevalence of recorded smoking status, nicotine dependence assessment, and nicotine dependence treatment provision; and to examine the patient characteristics associated with the recording of smoking status.
Method:
A retrospective systematic medical record audit was conducted of all psychiatric inpatient discharges over a six‐month period (1 September 2005 to 28 February 2006), at a large Australian psychiatric hospital, with approximately 2,000 patient discharges per year. A one‐page audit tool identifying patient characteristics and prevalence of recorded nicotine dependence treatment, and requiring ICD‐10‐AM diagnoses coding was used.
Results:
From 1,012 identified discharges, 1,000 medical records were available for audit (99%). Documentation of smoking status most frequently occurred on the admission form (28.8%) and diagnoses summary (41.6%). Documentation of nicotine dependence was not found in any record, and recording of any nicotine dependence treatment was negligible (0‐0.5%). The rate of recorded smoking status on discharge summaries was 6%. Patients with a diagnosis of alcohol, cannabis, sedative use disorders or asthma were twice as likely to have their smoking status recorded compared to those who did not have these diagnoses.
Conclusions:
Mental health services, by failing to diagnose and document treatment for nicotine dependence, do not conform to current clinical practice guidelines, despite nicotine dependence being the most commonly diagnosed psychiatric disorder.
Implications:
Considerable system change and staff support is required to provide an environment where a primary prevention approach such as smoking care can be sustained.
“…In a study of Nurse Unit Managers' report of provision of nicotine dependence treatment in all general hospitals in New South Wales, Australia, only 37% of respondents reported that all inpatients had their smoking status recorded, while few (17%) provided brief advice to quit or recommended NRT 13 . Audits of medical records in other Australian general hospitals in both urban and regional settings showed substantial errors in recording smoking status, 14,15 minimal provision of NRT and low prevalence of recorded smoking status on the discharge summary 16 …”
Objectives:
To investigate the prevalence of recorded smoking status, nicotine dependence assessment, and nicotine dependence treatment provision; and to examine the patient characteristics associated with the recording of smoking status.
Method:
A retrospective systematic medical record audit was conducted of all psychiatric inpatient discharges over a six‐month period (1 September 2005 to 28 February 2006), at a large Australian psychiatric hospital, with approximately 2,000 patient discharges per year. A one‐page audit tool identifying patient characteristics and prevalence of recorded nicotine dependence treatment, and requiring ICD‐10‐AM diagnoses coding was used.
Results:
From 1,012 identified discharges, 1,000 medical records were available for audit (99%). Documentation of smoking status most frequently occurred on the admission form (28.8%) and diagnoses summary (41.6%). Documentation of nicotine dependence was not found in any record, and recording of any nicotine dependence treatment was negligible (0‐0.5%). The rate of recorded smoking status on discharge summaries was 6%. Patients with a diagnosis of alcohol, cannabis, sedative use disorders or asthma were twice as likely to have their smoking status recorded compared to those who did not have these diagnoses.
Conclusions:
Mental health services, by failing to diagnose and document treatment for nicotine dependence, do not conform to current clinical practice guidelines, despite nicotine dependence being the most commonly diagnosed psychiatric disorder.
Implications:
Considerable system change and staff support is required to provide an environment where a primary prevention approach such as smoking care can be sustained.
“…Decentralized approach is where all nurses (or other clinicians) are expected to provide interventions to their own patients [10]. …”
Section: Resultsmentioning
confidence: 99%
“…A recent Cochrane review showed that adding a tobacco use question to an EMR increases both the expectation that clinicians will intervene with tobacco and as well as clinician actions for treating tobacco use, and when interventions are provided, cessation increases [6] although meta-analyses show the most effective inpatient interventions are those where the intervention is initiated during hospitalization and followed up for at least one month post-discharge [9]. However, integrating tobacco use questions into EMRs does not ensure that cessation interventions will be provided due, at least in part, to the inconsistency of asking and documentation by different healthcare providers [10]. Moreover, if tobacco use data are being collected, challenges include various errors or inconsistencies such as tobacco status occurring in multiple places in a patient’s chart with discrepant information for the same visit, and usability of the data, which in turn, requires standardizing how tobacco use is coded (e.g., check boxes vs. open text fields) and determining a standard location in patients’ charts so data extraction programs can be designed [10].…”
Section: Introductionmentioning
confidence: 99%
“…However, integrating tobacco use questions into EMRs does not ensure that cessation interventions will be provided due, at least in part, to the inconsistency of asking and documentation by different healthcare providers [10]. Moreover, if tobacco use data are being collected, challenges include various errors or inconsistencies such as tobacco status occurring in multiple places in a patient’s chart with discrepant information for the same visit, and usability of the data, which in turn, requires standardizing how tobacco use is coded (e.g., check boxes vs. open text fields) and determining a standard location in patients’ charts so data extraction programs can be designed [10]. …”
This environmental telephone interview scan was designed to identify: (1) how hospitals in one Canadian province incorporated tobacco use identification/documentation systems into practice; and, (2) challenges/issues with tobacco identification/documentation. Participants included 36/139 hospitals previously identified to offer cessation services. Results showed hospitals aided by researchers monitored and tracked tobacco use; those not aligned with researchers did not. The wording of tobacco items most commonly included use within the last 6-months (42%), 30-days (39%), or 7-days (33%), or use without reference to time (e.g., “Do you smoke?”; 39%); wording sometimes depended on admitting form space limitations. The admission process determined where the tobacco item appeared, which differed by hospital—75% included it on an admitting form (75%) and/or nursing assessment (56%); the item sometimes varied by unit. There were also different processes by which the item triggered delivery of cessation interventions; most frequently (69%), staff nurses were triggered to provide an intervention. The findings suggest that adding a tobacco use question to a hospital’s admitting process is potentially not that simple. Deciding on the purpose of the question, when it will be asked and by whom, space allotted on the form, and how it will trigger an intervention are important considerations that can affect the question wording, form/location, systems required, data extraction, and resources.
“…If patients <55 years of age represent a relatively larger proportion of the ED population, the tobacco use rates would be expected to be higher than the general population. Even when tobacco use status is electronically recorded as part of standard practice in the ED, the quality of tobacco use data can be poor and data extraction can be difficult due to the inconsistency of asking and recording status by different healthcare providers, lack of standardization in terms of how tobacco use is coded and where it appears in the chart, and various errors such as tobacco status occurring in multiple places in a patient’s chart with discrepant information for the same visit [9]. …”
This is the first study to systematically track the tobacco use prevalence in an entire emergency department (ED) population and compare age-stratified rates to the general population using national, provincial, and regional comparisons. A tobacco use question was integrated into the ED electronic registration process from 2007 to 2010 in 11 northern hospitals (10 rural, 1 urban). Results showed that tobacco use documentation (85–89%) and tobacco use (26–27%) were consistent across years with the only discrepancy being higher tobacco prevalence in 2007 (32%) due to higher rates at the urban hospital. Age-stratified outcomes showed that tobacco use remained high up to 50 years old (36%); rates began to decrease for patients in their 50’s (26%) and 60’s (16%), and decreased substantially after age 70 (5%). The age-stratified ED tobacco rates were almost double those of the general population nationally and provincially for all but the oldest age groups but were virtually identical to regional rates. The tobacco use tracking and age-stratified general population comparisons in this study improves on previous attempts to document prevalence in the ED population, and at a more local level, provides a “big picture” overview that highlights the magnitude of the tobacco-use problem in these communities.
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