Retos y estrategias para recuperar y dinamizar la atención primaria. Metodología DAFO (Debilidades, Amenazas, Fortalezas y Oportunidades)-CAME (Corregir, Afrontar, Mantener y Explotar) en un departamento de salud / Challenges and strategies to recover and dynamize primary care: SWOT-CAME analysis in a Health Department

Objetivo: Identificar fortalezas, obstáculos, cambios en el entorno y capacidades de los equipos y unidades de apoyo en atención primaria, con el objetivo de proporcionar atención de alta calidad en un área de salud integrada. Diseño: Estudio de métodos mixtos basado en la matriz DAFO y el análisis CAME. Emplazamiento: Atención primaria, Comunidad Valenciana. Participantes: En total han participado 271 profesionales de los diferentes colectivos y representantes de asociaciones de pacientes, 99 en la fase de captura de ideas, 154 en la fase de elaboración de la matriz DAFO y 18 en la fase de elaboración del análisis CAME. Intervenciones: Se condujo un análisis DAFO-CAME a partir del cual se establecieron líneas de acción. La captura de información se realizó mediante grupos nominales, la fase de consenso integrando al conjunto de profesionales mediante Delphi y conferencia de consenso. Mediciones principales: Priorización de propuestas para mantener las fortalezas, afrontar las amenazas, explotar las oportunidades, corregir las debilidades en el marco de un plan de acción de un área de salud integrada. Resultados: Se propusieron un total de 82 ideas diferentes (20 fortalezas, 40 debilidades, 4 amenazas, 12 oportunidades y 6 amenazas-oportunidades). Este análisis condujo a un plan estratégico con 7 líneas y 33 acciones/intervenciones priorizadas. Conclusiones: Atención integrada buscando fórmulas colaborativas entre niveles asistenciales, redefinición de roles, soluciones digitales, capacitación del personal y mejoras en equipamientos y procesos de soporte, junto a medidas para afrontar el envejecimiento de la población y las necesidades de centros sociosanitarios constituyen los retos sobre los que actuar.(AU)

Objective: To identify strengths, obstacles, changes in the environment, and capabilities of primary care teams and support units, with the aim of providing high-quality care in an integrated healthcare area. Design: Mixed methods study based on the SWOT matrix and CAME analysis. Location: Primary care, Valencian community. Participants: A total of 271 professionals from different collectives and patient association representatives participated. 99 in the idea generation phase, 154 in the SWOT matrix development phase, and 18 in the CAME analysis development phase. Interventions: A SWOT-CAME analysis was conducted, from which action lines were established. Information capture was carried out through nominal groups, and the consensus phase involved integrating all professionals through Delphi and consensus conference techniques. Main measurements: Prioritization of proposals to maintain strengths, address threats, exploit opportunities, and correct weaknesses within the framework of an integrated healthcare area action plan. Results: A total of 82 different ideas were proposed (20 strengths; 40 weaknesses; 4 threats; 12 opportunities; 6 threats-opportunities), which, once prioritized, were translated into 7 lines and 33 prioritized actions/interventions (CAME analysis). Conclusions: Integrated care, seeking collaborative approaches between care levels, redefining roles, digital solutions, staff training, and improvements in equipment and support processes, along with measures to address the aging population and the needs of socio-sanitary centers, constitute the challenges to be addressed.(AU)

[Challenges and strategies to recover and dynamize primary care: SWOT-CAME analysis in a Health Department]. / Retos y estrategias para recuperar y dinamizar la atención primaria. Metodología DAFO (Debilidades, Amenazas, Fortalezas y Oportunidades)-CAME (Corregir, Afrontar, Mantener y Explotar) en un departamento de salud.

OBJECTIVE: To identify strengths, obstacles, changes in the environment, and capabilities of primary care teams and support units, with the aim of providing high-quality care in an integrated healthcare area. DESIGN: Mixed methods study based on the SWOT matrix and CAME analysis. LOCATION: Primary care, Valencian community. PARTICIPANTS: A total of 271 professionals from different collectives and patient association representatives participated. 99 in the idea generation phase, 154 in the SWOT matrix development phase, and 18 in the CAME analysis development phase. INTERVENTIONS: A SWOT-CAME analysis was conducted, from which action lines were established. Information capture was carried out through nominal groups, and the consensus phase involved integrating all professionals through Delphi and consensus conference techniques. MAIN MEASUREMENTS: Prioritization of proposals to maintain strengths, address threats, exploit opportunities, and correct weaknesses within the framework of an integrated healthcare area action plan. RESULTS: A total of 82 different ideas were proposed (20 strengths; 40 weaknesses; 4 threats; 12 opportunities; 6 threats-opportunities), which, once prioritized, were translated into 7 lines and 33 prioritized actions/interventions (CAME analysis). CONCLUSIONS: Integrated care, seeking collaborative approaches between care levels, redefining roles, digital solutions, staff training, and improvements in equipment and support processes, along with measures to address the aging population and the needs of socio-sanitary centers, constitute the challenges to be addressed.

Fruit and Vegetable Consumption is Inversely Associated with Plasma Saturated Fatty Acids at Baseline in Predimed Plus Trial.

SCOPE: Plasma fatty acids (FAs) are associated with the development of cardiovascular diseases and metabolic syndrome. The aim of our study is to assess the relationship between fruit and vegetable (F&V) consumption and plasma FAs and their subtypes. METHODS AND RESULTS: Plasma FAs are assessed in a cross-sectional analysis of a subsample of 240 subjects from the PREDIMED-Plus study. Participants are categorized into four groups of fruit, vegetable, and fat intake according to the food frequency questionnaire. Plasma FA analysis is performed using gas chromatography. Associations between FAs and F&V consumption are adjusted for age, sex, physical activity, body mass index (BMI), total energy intake, and alcohol consumption. Plasma saturated FAs are lower in groups with high F&V consumption (-1.20 mg cL-1 [95% CI: [-2.22, -0.18], p-value = 0.021), especially when fat intake is high (-1.74 mg cL-1 [95% CI: [-3.41, -0.06], p-value = 0.042). Total FAs and n-6 polyunsaturated FAs tend to be lower in high consumers of F&V only in the high-fat intake groups. CONCLUSIONS: F&V consumption is associated with lower plasma saturated FAs when fat intake is high. These findings suggest that F&V consumption may have different associations with plasma FAs depending on their subtype and on the extent of fat intake.

CONUT: a tool to assess nutritional status. First application in a primary care population.

OBJECTIVES: Malnutrition is an unfavorable prognostic factor associated with an increase in mortality, hospital stays, readmissions and resources consumption. The aim was to screen primary care patients for risk of malnutrition by using the control nutritional (CONUT) score, calculated through total lymphocytes count, serum albumin and total cholesterol, when the three markers were requested, and to compare results between primary care centers (PCC). METHODS: The clinical laboratory located in a 370-bed suburban University Community Hospital serves the Health Department inhabitants (2,34,551), attended in nine PCC. The laboratory information system (LIS) automatically calculated the CONUT score in every primary care patient over 18 years old, when all three laboratory markers were ordered by the General Practitioner. For all primary care patients, we collected demographic data, CONUT index and PCC. We classified results by PCC, and compared them. RESULTS: The clinical laboratory received 74,743 requests from primary care. The CONUT score was calculated in 7,155 (12.28%) patients. Nine hundred seventy-six (13.6%) were at risk of malnutrition according to the CONUT score, mainly male (p<0.01) and over 65 (p<0.01). Detected cases of malnutrition were all mild, except 48 patients (4.9%) with moderate, and one (0.1%) with severe risk. The percentage of patients at risk of malnutrition was not significantly different among PCC, with the exception of one with patients at lower malnutrition risk. CONCLUSIONS: It is possible to use CONUT score as a front-line population-wide laboratory marker to screen for the risk for malnutrition in primary care patients that was lower in one PCC.

Computer-assisted interventions in the clinical laboratory process improve the diagnosis and treatment of severe vitamin B12 deficiency.

BACKGROUND: Severe vitamin B12 deficiency can result in serious complications if undiagnosed or untreated. Our aim was to test the efficacy of interventions in the laboratory process to improve the detection and the treatment of severe vitamin B12 deficiency. METHODS: Quasi-experimental investigation with a retrospective 7-year pre-intervention period and 29-month post-intervention follow-up in a university hospital. Two interventions were designed to improve the detection and treatment of subjects with vitamin B12 deficiency: the laboratory information system (LIS) automatically added seru vitamin B12 (s-vitamin B12) based on certain conditions; and created a comment in the report and scheduled an appointment with the general practitioner (GP). We calculated the number of new diagnoses of severe vitamin deficiency (s-vitamin B12 <73.8 pmol/L) and the proportion of identified patients that were correctly treated in the pre- and post-intervention periods. We compared the number of tests needed to detect a new case when ordered by GPs vs. added by the strategy. Finally, we investigated the economic cost of each new case. RESULTS: The strategy added 699 s-vitamin B12 and detected 66 new cases of severe vitamin deficiency. The number of tests needed to identify a new case when s-vitamin B12 was ordered by GPs was 187, as opposed to 10 when added through the intervention (p<0.001). The intervention reagent cost was €26.7 per new case. In the post-intervention cohort, 88% of patients were correctly treated, as opposed to 52% in the pre-intervention (p<0.001). CONCLUSIONS: Interventions in the clinical laboratory process improved the diagnosis and treatment of severe vitamin B12 deficiency.

Managing inappropriate requests of laboratory tests: from detection to monitoring.

OBJECTIVES: The main objectives of this study were to show a simple approach to detect inappropriate requests of laboratory tests and to monitor success after establishing interventions. These objectives were monitored through process and outcome indicators customized according to the type and phase of the appropriateness strategy. STUDY DESIGN: Quasi-experimental design. METHODS: Based on evidence regarding laboratory test utilization differences among different geographical areas of Spain, we identified serum calcium (s-Ca) testing to be underrequested and total bilirubin (tBil) testing to be overrequested in primary care patients who undergo testing at the Public University Hospital of San Juan, in San Juan de Alicante, Alicante, Spain. Additionally, the ratio of free thyroxine (FT4) tests to thyrotropin (also called thyroid-stimulating hormone [TSH]) tests was well above the published 0.25 goal in primary care. Finally, numerous laboratory tests were overrequested in hospitalized patients due to repetitive testing. We designed and implemented a variety of strategies to correct such inappropriateness and designed different indicators to monitor the intervention success over time. RESULTS: After implementation of the different strategies, the absolute number of s-Ca tests increased. The number of tBil tests in primary care, and numerous other tests repeated too frequently in hospitalized patients, decreased. The FT4/TSH indicator goal was reached and maintained over time. Regarding the outcome indicators, the strategy of reducing tBil tests in primary care and reducing the aggregate of unnecessary tests in hospitalized patients resulted in savings of $3543.80 and $9825.50, respectively, from January 2012 to December 2014. The s-Ca strategy, from November 2011 to December 2014, detected 62 subjects' primary hyperparathyroidism at a cost of $137.80 per case. CONCLUSIONS: The study demonstrates a simple approach to detect inappropriate requests of laboratory tests, and how to assess the potential success of interventions using process and outcome indicators.

Automatic laboratory-based strategy to improve the diagnosis of type 2 diabetes in primary care.

INTRODUCTION: To study the pre-design and success of a strategy based on the addition of hemoglobin A1c (HbA1c) in the blood samples of certain primary care patients to detect new cases of type 2 diabetes. MATERIALS AND METHODS: In a first step, we retrospectively calculated the number of HbA1c that would have been measured in one year if HbA1c would have been processed, according to the guidelines of the American Diabetes Association (ADA). Based on those results we decided to prospectively measure HbA1c in every primary care patient above 45 years, with no HbA1c in the previous 3 years, and glucose concentration between 5.6-6.9 mmol/L, during an 18 months period. We calculated the number of HbA1c that were automatically added by the LIS based on our strategy, we evaluated the medical record of such subjects to confirm whether type 2 diabetes was finally confirmed, and we calculated the cost of our intervention. RESULTS: In a first stage, according to the guidelines, Hb1Ac should have been added to the blood samples of 13,085 patients, resulting in a cost of 14,973€. In the prospective study, the laboratory added Hb1Ac to 2092 patients, leading to an expense of 2393€. 314 patients had an HbA1c value ≥ 6.5% (48 mmol/mol). 82 were finally diagnosed as type 2 diabetes; 28 thanks to our strategy, with an individual cost of 85.4€; and 54 due to the request of HbA1c by the general practitioners (GPs), with a cost of 47.5€. CONCLUSION: The automatic laboratory-based strategy detected patients with type 2 diabetes in primary care, at a cost of 85.4€ per new case.

Laboratory utilization improvement through a computer-aided algorithm developed with general practitioners.

BACKGROUND: One of the main duties of healthcare workers is to get an appropriate use of diagnostic and therapeutic tools. The aim of this study was to show how strategies can be designed and established in consensus with general practitioners (GPs) to reach an optimal laboratory test request. METHODS: The laboratory serves a population of approximately 235,000 inhabitants, including nine primary care centers. GPs could request every test in profiles and individually. In meetings between the laboratory and GPs our request patterns were compared to other geographic regions, and we investigated the appropriateness of test requesting. The group devised strategies that consisted of removing tests from profiles [aspartate aminotransferase (AST), γ-glutamyltranspeptidase (GGT) and phosphate], removing tests from GPs requests (iron and transferrin), substituting tests (IgA antigliadin antibody), and measuring total bilirubin (tBil) only when the icteric index value was above 34.2 mmol/L (2 mg/dL). We analyzed every test request in the post- (years 2012-2013) and pre-intervention period (years 2010-2011), and the tBil measured in the post-intervention period. We studied if AST/alanine aminotransferase (ALT) and GGT/ALT achieved indicators targets and calculated the economic savings in the post-intervention period. RESULTS: There was a significant drop in every test request in the post-intervention period. AST/ALT achieved the indicator target. GGT/ALT, never achieved the indicator goal. The strategies resulted in a savings of more than €34,000. CONCLUSIONS: The strategies designed between the laboratory and the requesting clinicians and automatically established by using our laboratory information system were successful.

Strategy to improve the request of uric acid in primary care: preliminary results and evaluation through process and outcome appropriateness indicators.

INTRODUCTION: Alerted by the high rates of request of serum uric acid (UA) in primary care patients, we aimed to design a strategy to improve such an indicator, and to monitor such an intervention through process and outcome appropriateness indicators. METHODS: To design the strategy, several meetings were held between the Laboratory, Rheumatology and Primary Care. The intervention consisted of discharging UA from two laboratory profiles ("Health Check" and "Rheumatology"), making it only possible to request the test in an individualized manner. To assess the intervention effectiveness, the ratio of UA/glucose requests, the quantity of allopurinol prescription and the resulting economic savings were calculated and compared for pre- and post-intervention 12 month periods. RESULTS: There was a 70% decrease in the number of UA requests in the post-intervention period, as compared to the pre-intervention interval. The ratio of UA/glucose requests experienced a significant commensurate drop in the post-intervention period (p<0.01). There was a significant reduction in the prescription of allopurinol (p<0.01). From an economic perspective, the strategy resulted in a savings of 8190 €. CONCLUSION: The strategy resulted in a dramatic drop in the number of UA requests and in the prescription of allopurinol. This highlights a likely existence of prior unnecessary treatment of patients with hyperuricemia in the absence of clinical symptoms.

Serum calcium (S-Ca), the forgotten test: preliminary results of an appropriateness strategy to detect primary hyperparathyroidism (pHPT).

BACKGROUND: With the introduction of automated calcium measurements with multichannel continuous-flow analyzers in the 1970s, primary hyperparathyroidism (pHPT), the silent disease, began to be detected. Years later, with the first appearance of random access analyzers, laboratory tests were requested if the patient had clinical symptoms and pHPT was again overlooked. In this current scenario, serum calcium (s-Ca) is at risk of becoming a forgotten test. In consensus with endocrinologists and general practitioners (GPs), we implemented a strategy to detect asymptomatic pHPT patients. METHODS: During a 9 month period, the Laboratory Information System automatically added s-Ca to every sample of blood from primary care patients older than 45 years, without a s-Ca request in the previous three years. If hypercalcemia was detected (albumin-corrected s-Ca > 2.6 mmol/L), phosphate, 25-hydroxy vitamin D and parathyroid hormone (PTH) were automatically processed in the same sample. We reviewed the medical record of every patient with hypercalcemia. RESULTS: S-Ca was automatically added to 14,461 samples, with 79 hypercalcemia results. 14 hypercalcemia results with PTH levels in the reference range were clinically justified by causes other than pHPT. Of the remaining 65 patients, 41 were referred for evaluation by endocrinology. 34 resulted in a diagnosis of pHPT and 7 are currently in study. 24 patients were not followed by GPs to find out the primary cause of hypercalcemia. After a phone call from the laboratory, they are also currently being studied for hypercalcemia. Each case represented a cost of 110.4 US dollars. CONCLUSION: Our proposed opportunistic screening to discover pHPT seems cost-effective.

Alert value reporting: a new strategy for patient safety.

OBJECTIVES: The objectives of this study are to introduce the "alert value reporting" concept in primary care setting, to propose a list of chemistry and hematology alert limit tests that can be chosen for that strategy, to show how this notification procedure can be designed and established, and finally to evaluate the effectiveness and physicians' satisfaction regarding the proposed approach. In contrast to critical value reporting, alert value reporting would not allude to a result that may imply a life-threatening situation, but would indicate that an early diagnostic/therapeutic action would improve the patient's management and quality of life. DESIGN AND METHODS: A list of chemistry and hematology alert limit tests to be used for the strategy was agreed upon between laboratory professionals and general practitioners. Next, a retrospective 12-month study involving more than 1 million laboratory tests was made to check how many of these alert values would have been communicated if these theoretical alert values had been applied. A prospective analysis of every reported alert value during 6 months was carried out to assess the intervention effectiveness and the requesting physician's satisfaction with the new strategy. RESULTS: The alert value reporting was successfully executed. 20% of the reported alert values motivated the decision to reschedule the next patient's appointment. 90% of physicians considered alert value reporting as an interesting strategy to be continued. CONCLUSIONS: Alert value reporting strategy motivated changes in patient's management. Further studies are needed to test if this approach can contribute to enhance patient safety and decision-making.