| Literature DB >> 28843217 |
Zeinab Mohammadzadeh1, Marjan Ghazisaeedi, Azin Nahvijou, Sharareh Rostam Niakan Kalhori, Somayeh Davoodi, Kazem Zendehdel.
Abstract
Introduction: Incidence and mortality rate of cancer is increasing in all countries including low and middle-income countries. Hospital based cancer registry (HBCR) is an important tool for administration purpose and improvement of the quality of care. It is also important resource for population based cancer registries. In this study we reviewed HBCRs in different countries.Entities:
Keywords: Hospital-based registry; cancer; tumor; quality of care; registry
Year: 2017 PMID: 28843217 PMCID: PMC5697455 DOI: 10.22034/APJCP.2017.18.8.2027
Source DB: PubMed Journal: Asian Pac J Cancer Prev ISSN: 1513-7368
Figure 1Screening Process of Documents That Included in This Study
Characteristics Of Hospital-Based Cancer Registries In Different Countries
| Registry, Country | Responsible institution | Objectives | Data sources | Software |
|---|---|---|---|---|
| National Cancer Database (NCDB) (1800 Hospitals), USA (Sergeons, 1996-2017) | American College of Surgeons and the American Cancer Society | Community Assessment, Quality Improvement, Cancer Program Administration | Data that abstracted from patient charts by Certified Tumor Registrars (CTR) | Abstract Plus |
| HBCRs in (397 hospital), Japan (Higashi et al., 2013; Anazawa et al., 2015) | National Cancer Center | Quality of care improvement, Monitoring Cancer Control program, Research | Medical records, Pathologic reports, Discharge summaries, Diagnostic codes on insurance claims, Chemotherapy records, Surgery records | HosCanR |
| Clinical Cancer Registry, Australia (Health, 2014) | Cancer Institute NSW | Quality of care improvement | Patient Administration System, Pathology, Scheduling, Medical Oncology Electronic Medical Records (EMR), Radiation Oncology EMR, Palliative Care EMR | NA |
| Khon Kaen HBCR (KKCR), Thailand (University, 2013) | Srinagarind Hospital, Khon Kaen University, Faculty of Medicine | Planning and monitoring of cancer control, Research | Medical records, Pathology laboratory records, Surgery and Radiology department. Death certificate | CanReg4 |
| Brazil SisRHC database (Pinheiro Zina Reis et al., 2008) | The National Cancer Institute (INCA) | Prevention, Screening, Treatment, Survival, and Palliation | Pathology reports, Hospital discharge summaries, Radiotherapy records and hematological reports. | SisRHC |
| Healthcare Quality Registries, Sweden (Emilsson et al., 2015) | The Swedish government and the Swedish Association of Local Authorities and Regions (SALAR) | Improving delivery of healthcare, Quality improvement, Monitoring of adherence to guidelines, Research. | Medical records, Laboratory test, Pathology report | NA |
| HBCRs (19 centres), Nigeria (Jedy-Agba Elima E. et al., 2012) | The Institute of Human Virology, Nigeria and the Nigerian Federal Ministry of Health | Improvement of cancer care delivery systems, Policy making, Planning | Medical record, Death certificates, Radiotherapy, Chemotherapy and Surgery reports | CanReg4 |
| Hacettepe HBCR, Turkey (Kutluk et al., 2013) | Hacettepe University | Planning, Monitoring, and measuring cancer-related services, Research, and Education. | Information that gathered from departments related to care of cancer patients | CanReg4 |
| HBCRs, India (Swaminathan Soumya, 2016) | Indian Council of Medical Research (ICMR). | Planning and evaluation of cancer control programs | Medical records | Web-based software “rccintranet.org”. |
| HBCR, Indonesia (Sibuea et al., 2000) | National Center General Hospital (RSUPNCM) | Provide statistical information for cancer control and management | Predefined form that filled by physician | NA |
| HBCRs (13 hospitals), Colombia (Cuervo Luis Gabriel et al., 1999) | National Cancer Institute of Colombia | NA | Collection of data from a large group of cancer diagnostic and treatment centers | Regiscan database software |
| Jinnah Hospital HBCR, Pakistan (Aziz et al., 2003) | Jinnah Hospital Lahore | NA | Medical records | Microsoft Access and Excel Database |
| HBCR, United States (Hendren et al., 2014) | University of Michigan | Comparison of processes and outcomes, identification of areas for Quality improvement. | Medical Records | NA |
| Fortis Memorial Research Institute (FMRI-HBCR), India (Institue, 2013) | Fortis Memorial Research Institute (FMRI) | Medical Researc | Information gathered through pre-devised questionnaire in hospital oncology departments | Microsoft Excel Datasheet |
Objectives of Hospital Based Cancer Registry (HBCR)
| Administration |
| 1. To improve hospital management (Base), 2017) |
| 2. Improving reimbursement plan (Base), 2017) |
| 3. To Identify areas to market programs through demographic variables that define gender, race/ethnicity, age group, and education level (Swan et al., 1998; Base), 2017) |
| Improving Quality Care |
| 4. To study survival rates by cancer types and stage (Base), 2017) |
| 5. To study short and long-term side effect of different treatment (Evelyn M. Shambaugh et al., 1999; Shiki et al., 2008) |
| 6. To evaluate prognostic factor (Shiki et al., 2008) |
| 7. To study implantation of clinical practice guideline (Ruiz and Facio, 2004) |
| 8. To enhance coordination of care and multidisciplinary tumor board (Swan et al., 1998) |
| 9. To demonstrate accountable, evidence based care at the local level (Higashi et al., 2013) |
| 10. To identify areas to focus quality improvement efforts (Shiki et al., 2008; Base), 2017) 11. To be the basis for clinical research (Ruiz and Facio, 2004) |
| 12. Education of residents and fellows (SEER) |
| Community Based objectives |
| 13. To evaluate delay in the diagnosis (Ruiz and Facio, 2004; Shiki et al., 2008) |
| 14. To study Screening program and evaluate proportion of the screened cases by cancer site, age group, ethnicity/race (Ruiz and Facio, 2004) |
| 15. To develop cancer prevention program if population based registry does not exist (Jedy-Agba Elima E. et al., 2012) |
| 16. Support population based cancer registry (PBCR) (Swan et al., 1998; Evelyn M. Shambaugh et al., 1999; Shiki et al., 2008) |
| 17. To provide some idea of cancer incidence and prevalence if PBCR is lacking in the region (Aziz et al., 2003) |
| 18. Provide information for cancer control program and cancer prevention in particular (Young, 1991) |
| 19. To study potential area of outreach and patient navigation (Base), 2017) |
| 20. To develop treatment practice based on the population need (Evelyn M. Shambaugh et al., 1999) |
| 21. To study pattern of care and evaluate variation of access to care (Ruiz and Facio, 2004; Base), 2017) |
| 22. Performing etiologic/ epidemiological research (Ruiz and Facio, 2004) |
Quality Control Methods in Hospital-Based Cancer Registries
| Name of registry | Quality control methods |
|---|---|
| NCDB, USA (Sergeons, 1996-2017; Bilimoria et al., 2008) | 1) NCDB GenEDITS Plus software (2017) include all edits and all data that submitted to database, 2) Case records that fail to meet a standardized set of requirements are identified and returned to the hospital, 3) Check each hospital data by Commission on Cancer surveyors once every three years to ensure of data quality |
| HBCR, Japan (Higashi et al., 2013; Anazawa et al., 2015) | 1) Appropriate training of tumor registrars, 2) Consistency-checking software with HosCanR, 3) Additional support provided by the National Cancer Center staff. |
| The SSWAHS Clinical Registry, Australia (Health, 2014) | Not reported |
| KKCR, Thailand (University, 2013) | Linkage with national statistical data set, personal contact, and networking |
| SisRHC database, Brazil, (Pinheiro Zina Reis et al., 2008) | 1) Entering validated data through software, 2) Internal quality control systems, 3) logical checks through registry program, 4) Visual checks |
| Healthcare Quality Registries, Sweden (Emilsson et al., 2015) | 1) Automated checks to prevent the input of incorrect data, 2) linkage and compare data with government administrated registries, 3) comparison with patient charts, 4) manual check with health care personals |
| Michigan HBCR, USA (Hendren et al., 2014) | Comparing hospital medical record and tumor registry data. |
| 19 HBCRs, Nigeria (Jedy-Agba Elima E. et al., 2012) | Internal consistency ckeck between variables by software |
| Hacettepe HBCR, Turkey (Kutluk et al., 2013) | 1) Reviewing by research assistant to check accuracy of gender, age, histologic and morphologic diagnosis of the patients according to ICD-O, 2) Crosschecks by research assistant to increase the consistency of the database, 3) Revise and record of inaccurate data |
| India: National HBCRs program (Swaminathan Soumya, 2016) | 1) Consistency checks (comparing the values of certain variables against others) by software, 2) The various range, consistency, unlikely combinations, and duplicate checks by the coordinating unit of the National Cancer Registry Programme of Indian Council of Medical Research |
| Colombia (Cuervo Luis Gabriel et al., 1999) | Questionnaire that developed with Delphi method surveyed the function of the hospital director, the registry coordinator, and the registrar (data manager) about data quality. |
| FMRI, India (Institue, 2013) | Validation of data by using quality control programs/tools of International Agency for Research on Cancer (IARC) for avoiding duplication and any unlikely combination of age, sex, site and morphology and other factors in the database. |
List of Data Items (N=83) Used in the Abstract Plus Software for HBCR in the US to Be Submitted to the National Cancer Data Base (NCDB)
| Patient ID (N=10) | Name-Last, Name-First, Name-Middle, Name-Maiden, Name-Alias, Social Security Number, Address at DX (No Street, Supplemental, City, state, Postal code), County at Dx, Race, Spanish/Hispanic Origin |
| Demographic information (N=6) | Date Of Birth, Birth place (state-county), Sex, Text-usual occupation, Occupation source, Text-usual industry, Industry source |
| Cancer identification (N=10) | Date of diagnosis, Age at diagnosis, Primary site, laterality, histologic type ICD-O-3, Behavior Code ICD-O-3, Grade, Grade path value, Grade path system, Diagnostic Confirmation |
| Stage/ prognostic factors (N=22) | Tumor size, Tumor extension, Tumor size/extension evaluation, Lymph nodes, Lymph nodes evaluation, Regional nodes positive, Regional nodes examined, Lymph-vascular Invasion, Metastasis at diagnosis, Metastasis evaluation, Site-specific factor 1- 25, Derived AJCC 6-T, Derived AJCC 6-N, Derived AJCC 6-M, Derived AJCC 6-stage group, Derived AJCC 7-T, Derived AJCC 7-N, Derived AJCC 7-M, Derived AJCC 7-stage group, |
| Hospital Specific (N=7) | Reporting facility, Type of reporting source, Medical record number, Primary payer at DX, Sequence number-hospital, Date of 1st contact, Class of case, |
| Treatment-1st course (20) | Treatment status, Date of 1st course, Date surgery, Summary-surgery primary site, Reason for no surgery, Date radiation, Radiation regional modality, Reason for no radiation, Surgery/radiation sequence, Date chemotherapy, Summary-chemotherapy, Date hormone, Summary-hormone, Date-BRM, Date other, Summary other, Summary-scope regional lymph node surgery, Surgery other regional, Summary-transplant/endocrine, Summary-systemic/surgery sequence |
| Follow-up /recurrence /death (N=8) | Date of last contact, Vital status, Follow-up source, Cause of death, ICD revision number, Place of death-state, Place of death-country, Physician-follow up, NPI-physician-follow-up |